Reach DBAs, data architects, and IT leaders at companies running MySQL, Oracle, SQL Server, MongoDB, and more.
Database Management Systems (DBMS) are software platforms for storing, retrieving, and managing structured and unstructured data. DBMS platforms range from relational SQL databases to NoSQL document stores, in-memory caches, and graph databases. They underpin virtually every application and business intelligence system in the modern enterprise.
ELP Data tracks 2.4M+ verified companies running Database Management (DBMS) solutions worldwide. Each company record maps to verified decision-maker contacts — Database Administrator, Data Architect, VP Engineering and more — giving sales and marketing teams direct access to the professionals with budget authority for Database Management (DBMS) purchases, renewals, and expansions.
The Database Management (DBMS) category spans 254 applications, from market-leading platforms to specialised tools serving niche verticals. Whether you sell complementary software, implementation services, training, or a competing solution, ELP Data's Database Management (DBMS) contact database gives you a pre-qualified audience of buyers who have already invested in this technology category.
Companies in the Database Management (DBMS) installed base share a common characteristic: they have already cleared the highest hurdle in B2B sales — budget approval and technology adoption. These organisations are not prospects who need convincing that this category of software matters. They are active users managing live deployments, dealing with real challenges, and regularly evaluating vendors who can help them get more value from their existing investment. This makes them significantly more receptive to targeted outreach than cold accounts with no prior engagement in the category.
ELP Data refreshes the Database Management (DBMS) database quarterly, removing organisations that have churned from the platform and adding newly identified users based on fresh technology signals. Every email address is verified for deliverability before the list is compiled. Any record that bounces after delivery is replaced at no charge, backed by the 97% accuracy guarantee that applies to every list ELP Data delivers.
Over 2.1 million companies use dedicated database platforms
MySQL is the most widely used open-source database globally
Oracle Database is the #1 enterprise database by revenue
NoSQL database adoption has grown 60%+ in the last five years
Each application has its own verified users list. Click any application to see company counts, decision-maker contacts, and request a free sample.
The world's most popular open-source relational database, widely used in web applications.
Oracle's enterprise relational database, the market leader by revenue for decades.
Microsoft's enterprise relational database integrated with the Windows ecosystem.
The most popular NoSQL document database for modern application development.
The most advanced open-source relational database known for extensibility and standards compliance.
An open-source in-memory data structure store used as a cache, message broker, and database.
A highly scalable NoSQL distributed database for handling large amounts of data at high velocity.
IBM's enterprise relational database management system with strong mainframe integration.
An open-source MySQL fork offering improved performance and additional storage engines.
A lightweight embedded database engine used in mobile apps and local storage.
An open-source NoSQL database using JSON documents and an HTTP API.
Amazon's fully managed NoSQL database service for serverless and mobile applications.
A distributed NoSQL database combining document, key-value, and search capabilities.
The world's leading graph database for connected data and relationship analytics.
Teradata's enterprise data warehouse platform for large-scale analytical workloads.
Microsoft's desktop database management tool for small-scale data management needs.
SAP's in-memory database platform powering SAP S/4HANA and analytics workloads.
Google's globally distributed relational database with strong consistency guarantees.
AWS's MySQL and PostgreSQL compatible cloud-native relational database service.
An open-source relational database used in embedded applications and SMB software.
Real-time distributed OLAP datastore for user-facing analytics.
One of the first database management systems for microcomputers.
PostgreSQL utility for dropping databases from the command line.
Cloud data warehouse built for high-performance analytics at scale.
Lightweight Java SQL database engine used in Java applications.
The world's leading graph database for connected data applications.
Lua procedural language extension for PostgreSQL databases.
PostgreSQL procedural language for database partitioning and sharding.
The interactive terminal for PostgreSQL database management.
Modern database management GUI for relational and NoSQL databases.
High-performance key-value store database library.
PostgreSQL utility for garbage collection and analyzing databases.
Oracle Corporation is used by 476,892 companies. Get verified decision-maker contacts.
Elasticsearch is used by 87,828 companies. Get verified decision-maker contacts.
Cassandra is used by 94,724 companies. Get verified decision-maker contacts.
Amazon RDS is used by 85,872 companies. Get verified decision-maker contacts.
Microsoft Azure SQL is used by 85,868 companies. Get verified decision-maker contacts.
Google Cloud SQL is used by 85,866 companies. Get verified decision-maker contacts.
Oracle MySQL is used by 76,543 companies. Get verified decision-maker contacts.
InfluxDB is used by 85,858 companies. Get verified decision-maker contacts.
TimescaleDB is used by 16,052 companies. Get verified decision-maker contacts.
Apache HBase is used by 85,856 companies. Get verified decision-maker contacts.
Google BigQuery is used by 11,606 companies. Get verified decision-maker contacts.
Snowflake is used by 85,854 companies. Get verified decision-maker contacts.
Amazon Redshift is used by 8,772 companies. Get verified decision-maker contacts.
Vertica is used by 85,852 companies. Get verified decision-maker contacts.
Teradata is used by 6,606 companies. Get verified decision-maker contacts.
H2 Database is used by 85,848 companies. Get verified decision-maker contacts.
Apache Derby is used by 85,846 companies. Get verified decision-maker contacts.
Informix is used by 3,272 companies. Get verified decision-maker contacts.
Sybase ASE is used by 85,842 companies. Get verified decision-maker contacts.
FileMaker is used by 1,606 companies. Get verified decision-maker contacts.
FoxPro is used by 85,834 companies. Get verified decision-maker contacts.
Paradox is used by 772 companies. Get verified decision-maker contacts.
InterBase is used by 85,832 companies. Get verified decision-maker contacts.
Ingres is used by 85,828 companies. Get verified decision-maker contacts.
CA IDMS is used by 606 companies. Get verified decision-maker contacts.
IMS is used by 85,826 companies. Get verified decision-maker contacts.
ADABAS is used by 494 companies. Get verified decision-maker contacts.
Riak is used by 85,824 companies. Get verified decision-maker contacts.
Amazon SimpleDB is used by 328 companies. Get verified decision-maker contacts.
Azure Cosmos DB is used by 272 companies. Get verified decision-maker contacts.
Google Cloud Firestore is used by 85,818 companies. Get verified decision-maker contacts.
ArangoDB is used by 85,816 companies. Get verified decision-maker contacts.
OrientDB is used by 106 companies. Get verified decision-maker contacts.
RethinkDB is used by 85,814 companies. Get verified decision-maker contacts.
FaunaDB is used by 94 companies. Get verified decision-maker contacts.
DGraph is used by 85,812 companies. Get verified decision-maker contacts.
Amazon Neptune is used by 85,808 companies. Get verified decision-maker contacts.
Azure SQL Database Edge is used by 78 companies. Get verified decision-maker contacts.
TigerGraph is used by 72 companies. Get verified decision-maker contacts.
MemSQL is used by 85,806 companies. Get verified decision-maker contacts.
VoltDB is used by 85,804 companies. Get verified decision-maker contacts.
NuoDB is used by 56 companies. Get verified decision-maker contacts.
ScyllaDB is used by 85,802 companies. Get verified decision-maker contacts.
CockroachDB is used by 85,798 companies. Get verified decision-maker contacts.
YugabyteDB is used by 54 companies. Get verified decision-maker contacts.
FoundationDB is used by 85,796 companies. Get verified decision-maker contacts.
RavenDB is used by 85,794 companies. Get verified decision-maker contacts.
MongoDB Atlas is used by 85,792 companies. Get verified decision-maker contacts.
Amazon DocumentDB is used by 58 companies. Get verified decision-maker contacts.
Azure Table Storage is used by 62 companies. Get verified decision-maker contacts.
Google Cloud Bigtable is used by 85,788 companies. Get verified decision-maker contacts.
Apache Accumulo is used by 85,786 companies. Get verified decision-maker contacts.
Apache Phoenix is used by 85,782 companies. Get verified decision-maker contacts.
Apache Druid is used by 64 companies. Get verified decision-maker contacts.
ClickHouse is used by 34 companies. Get verified decision-maker contacts.
Apache Kudu is used by 85,778 companies. Get verified decision-maker contacts.
Greenplum is used by 85,776 companies. Get verified decision-maker contacts.
Exasol is used by 24 companies. Get verified decision-maker contacts.
MonetDB is used by 85,774 companies. Get verified decision-maker contacts.
Columnstore is used by 66 companies. Get verified decision-maker contacts.
Apache Parquet is used by 85,772 companies. Get verified decision-maker contacts.
Apache ORC is used by 22 companies. Get verified decision-maker contacts.
Delta Lake is used by 18 companies. Get verified decision-maker contacts.
Apache Iceberg is used by 85,768 companies. Get verified decision-maker contacts.
Apache Hudi is used by 85,766 companies. Get verified decision-maker contacts.
Presto is used by 16 companies. Get verified decision-maker contacts.
Trino is used by 14 companies. Get verified decision-maker contacts.
Apache Spark SQL is used by 85,764 companies. Get verified decision-maker contacts.
Dremio is used by 85,762 companies. Get verified decision-maker contacts.
Starburst is used by 12 companies. Get verified decision-maker contacts.
Denodo is used by 85,758 companies. Get verified decision-maker contacts.
Databricks is used by 85,756 companies. Get verified decision-maker contacts.
Rockset is used by 8 companies. Get verified decision-maker contacts.
SingleStore is used by 6 companies. Get verified decision-maker contacts.
PlanetScale is used by 85,752 companies. Get verified decision-maker contacts.
Neon is used by 85,748 companies. Get verified decision-maker contacts.
Supabase is used by 4 companies. Get verified decision-maker contacts.
Xata is used by 2 companies. Get verified decision-maker contacts.
TursoDB is used by 85,746 companies. Get verified decision-maker contacts.
Vitess is used by 85,744 companies. Get verified decision-maker contacts.
ProxySQL is used by 85,742 companies. Get verified decision-maker contacts.
MaxScale is used by 85,738 companies. Get verified decision-maker contacts.
PgBouncer is used by 85,736 companies. Get verified decision-maker contacts.
pgpool is used by 68 companies. Get verified decision-maker contacts.
Postgres-XL is used by 85,734 companies. Get verified decision-maker contacts.
CitusDB is used by 74 companies. Get verified decision-maker contacts.
Amazon RDS Proxy is used by 76 companies. Get verified decision-maker contacts.
Azure Database for PostgreSQL is used by 85,728 companies. Get verified decision-maker contacts.
Azure Database for MySQL is used by 85,726 companies. Get verified decision-maker contacts.
Azure Database for MariaDB is used by 82 companies. Get verified decision-maker contacts.
Google Cloud SQL for PostgreSQL is used by 84 companies. Get verified decision-maker contacts.
Google Cloud SQL for MySQL is used by 85,724 companies. Get verified decision-maker contacts.
Google Cloud SQL for SQL Server is used by 85,722 companies. Get verified decision-maker contacts.
Amazon RDS for PostgreSQL is used by 86 companies. Get verified decision-maker contacts.
Amazon RDS for MySQL is used by 88 companies. Get verified decision-maker contacts.
Amazon RDS for MariaDB is used by 85,718 companies. Get verified decision-maker contacts.
Amazon RDS for Oracle is used by 52 companies. Get verified decision-maker contacts.
Amazon RDS for SQL Server is used by 92 companies. Get verified decision-maker contacts.
Oracle Database Cloud is used by 254 companies. Get verified decision-maker contacts.
Oracle Autonomous Database is used by 49 companies. Get verified decision-maker contacts.
Oracle Exadata is used by 48 companies. Get verified decision-maker contacts.
Oracle RAC is used by 47 companies. Get verified decision-maker contacts.
Oracle Data Guard is used by 46 companies. Get verified decision-maker contacts.
Oracle GoldenGate is used by 45 companies. Get verified decision-maker contacts.
Oracle TimesTen is used by 44 companies. Get verified decision-maker contacts.
Oracle Berkeley DB is used by 43 companies. Get verified decision-maker contacts.
Oracle NoSQL Database is used by 42 companies. Get verified decision-maker contacts.
IBM Db2 on Cloud is used by 41 companies. Get verified decision-maker contacts.
IBM Db2 Warehouse is used by 256 companies. Get verified decision-maker contacts.
IBM Cloudant is used by 39 companies. Get verified decision-maker contacts.
IBM Informix is used by 38 companies. Get verified decision-maker contacts.
IBM IMS is used by 37 companies. Get verified decision-maker contacts.
IBM VSAM is used by 36 companies. Get verified decision-maker contacts.
Microsoft SQL Server Express is used by 96 companies. Get verified decision-maker contacts.
Microsoft SQL Server Standard is used by 98 companies. Get verified decision-maker contacts.
Microsoft SQL Server Enterprise is used by 85,716 companies. Get verified decision-maker contacts.
Microsoft SQL Server Developer is used by 85,714 companies. Get verified decision-maker contacts.
Microsoft SQL Server Compact is used by 102 companies. Get verified decision-maker contacts.
Microsoft SQL Server LocalDB is used by 104 companies. Get verified decision-maker contacts.
SAP Sybase IQ is used by 29 companies. Get verified decision-maker contacts.
SAP Sybase ASA is used by 28 companies. Get verified decision-maker contacts.
SAP MaxDB is used by 27 companies. Get verified decision-maker contacts.
SAP HANA Cloud is used by 26 companies. Get verified decision-maker contacts.
SAP HANA Express is used by 25 companies. Get verified decision-maker contacts.
Redis Enterprise is used by 85,712 companies. Get verified decision-maker contacts.
Redis Cloud is used by 108 companies. Get verified decision-maker contacts.
Redis Sentinel is used by 112 companies. Get verified decision-maker contacts.
Redis Cluster is used by 85,708 companies. Get verified decision-maker contacts.
Memcached is used by 85,706 companies. Get verified decision-maker contacts.
Hazelcast is used by 114 companies. Get verified decision-maker contacts.
Apache Ignite is used by 116 companies. Get verified decision-maker contacts.
GridGain is used by 85,704 companies. Get verified decision-maker contacts.
Ehcache is used by 85,702 companies. Get verified decision-maker contacts.
Caffeine is used by 118 companies. Get verified decision-maker contacts.
Chronicle Map is used by 122 companies. Get verified decision-maker contacts.
MapDB is used by 85,698 companies. Get verified decision-maker contacts.
LMDB is used by 85,696 companies. Get verified decision-maker contacts.
RocksDB is used by 124 companies. Get verified decision-maker contacts.
LevelDB is used by 126 companies. Get verified decision-maker contacts.
BerkeleyDB is used by 85,694 companies. Get verified decision-maker contacts.
GDBM is used by 85,692 companies. Get verified decision-maker contacts.
DBM is used by 128 companies. Get verified decision-maker contacts.
NDBM is used by 132 companies. Get verified decision-maker contacts.
SDBM is used by 85,688 companies. Get verified decision-maker contacts.
TDB is used by 85,686 companies. Get verified decision-maker contacts.
QDBM is used by 134 companies. Get verified decision-maker contacts.
Kyoto Cabinet is used by 85,684 companies. Get verified decision-maker contacts.
FairCom c-treeRTG is used by 49,378 companies. Get verified decision-maker contacts.
Percona Server is used by 43,832 companies. Get verified decision-maker contacts.
Percona XtraDB Cluster is used by 38,274 companies. Get verified decision-maker contacts.
Galera Cluster is used by 32,712 companies. Get verified decision-maker contacts.
MySQL Cluster is used by 27,156 companies. Get verified decision-maker contacts.
TokuDB is used by 21,608 companies. Get verified decision-maker contacts.
MyRocks is used by 85,682 companies. Get verified decision-maker contacts.
Aria is used by 85,678 companies. Get verified decision-maker contacts.
PBXT is used by 5,494 companies. Get verified decision-maker contacts.
Archive is used by 4,936 companies. Get verified decision-maker contacts.
CSV Storage Engine is used by 85,676 companies. Get verified decision-maker contacts.
FEDERATED is used by 85,674 companies. Get verified decision-maker contacts.
MEMORY is used by 85,672 companies. Get verified decision-maker contacts.
MERGE is used by 2,714 companies. Get verified decision-maker contacts.
EXAMPLE is used by 2,158 companies. Get verified decision-maker contacts.
BLACKHOLE is used by 85,668 companies. Get verified decision-maker contacts.
MyISAM is used by 1,052 companies. Get verified decision-maker contacts.
InnoDB is used by 936 companies. Get verified decision-maker contacts.
XtraDB is used by 85,666 companies. Get verified decision-maker contacts.
Spider is used by 85,664 companies. Get verified decision-maker contacts.
CONNECT is used by 85,658 companies. Get verified decision-maker contacts.
OQGRAPH is used by 552 companies. Get verified decision-maker contacts.
SEQUENCE is used by 85,656 companies. Get verified decision-maker contacts.
Cassandra Storage Engine is used by 436 companies. Get verified decision-maker contacts.
PostgreSQL FDW is used by 85,654 companies. Get verified decision-maker contacts.
PostGIS is used by 85,652 companies. Get verified decision-maker contacts.
Citus is used by 214 companies. Get verified decision-maker contacts.
pg_partman is used by 158 companies. Get verified decision-maker contacts.
PL/pgSQL is used by 138 companies. Get verified decision-maker contacts.
PL/Python is used by 142 companies. Get verified decision-maker contacts.
PL/Perl is used by 144 companies. Get verified decision-maker contacts.
PL/Tcl is used by 85,646 companies. Get verified decision-maker contacts.
PL/R is used by 85,644 companies. Get verified decision-maker contacts.
PL/Java is used by 146 companies. Get verified decision-maker contacts.
PL/sh is used by 148 companies. Get verified decision-maker contacts.
PL/v8 is used by 85,638 companies. Get verified decision-maker contacts.
PL/Coffee is used by 152 companies. Get verified decision-maker contacts.
PL/LiveScript is used by 85,636 companies. Get verified decision-maker contacts.
PL/Container is used by 154 companies. Get verified decision-maker contacts.
MADlib is used by 156 companies. Get verified decision-maker contacts.
PostBIS is used by 85,632 companies. Get verified decision-maker contacts.
pgRouting is used by 85,628 companies. Get verified decision-maker contacts.
pgAgent is used by 162 companies. Get verified decision-maker contacts.
pgAdmin is used by 164 companies. Get verified decision-maker contacts.
pgModeler is used by 85,626 companies. Get verified decision-maker contacts.
pgLoader is used by 85,624 companies. Get verified decision-maker contacts.
pglogical is used by 166 companies. Get verified decision-maker contacts.
Bucardo is used by 168 companies. Get verified decision-maker contacts.
Londiste is used by 85,622 companies. Get verified decision-maker contacts.
Slony-I is used by 85,616 companies. Get verified decision-maker contacts.
pgpool-II is used by 172 companies. Get verified decision-maker contacts.
pgbench is used by 85,614 companies. Get verified decision-maker contacts.
pg_stat_statements is used by 85,612 companies. Get verified decision-maker contacts.
pg_buffercache is used by 176 companies. Get verified decision-maker contacts.
pg_freespacemap is used by 178 companies. Get verified decision-maker contacts.
pg_visibility is used by 85,608 companies. Get verified decision-maker contacts.
pg_prewarm is used by 85,606 companies. Get verified decision-maker contacts.
pg_trgm is used by 182 companies. Get verified decision-maker contacts.
pg_repack is used by 184 companies. Get verified decision-maker contacts.
pg_upgrade is used by 85,604 companies. Get verified decision-maker contacts.
pg_dump is used by 85,602 companies. Get verified decision-maker contacts.
pg_restore is used by 186 companies. Get verified decision-maker contacts.
createdb is used by 85,598 companies. Get verified decision-maker contacts.
createuser is used by 192 companies. Get verified decision-maker contacts.
dropuser is used by 194 companies. Get verified decision-maker contacts.
clusterdb is used by 85,594 companies. Get verified decision-maker contacts.
reindexdb is used by 85,592 companies. Get verified decision-maker contacts.
pgcrypto is used by 198 companies. Get verified decision-maker contacts.
Azure SQL Database is used by 10,792 companies. Get verified decision-maker contacts.
BigQuery is used by 80,866 companies. Get verified decision-maker contacts.
Redshift is used by 80,864 companies. Get verified decision-maker contacts.
Apache Spark is used by 80,848 companies. Get verified decision-maker contacts.
Apache Hadoop is used by 3,126 companies. Get verified decision-maker contacts.
HBase is used by 80,846 companies. Get verified decision-maker contacts.
Google Firestore is used by 1,442 companies. Get verified decision-maker contacts.
How the 2.4M+ confirmed Database Management (DBMS) companies are distributed across individual platforms. Each figure represents ELP Data's verified installed base count — not market research estimates.
| Platform | Verified Companies | Market Share | Relative Share | Users List |
|---|---|---|---|---|
| MySQL | 153,284+ | 638683% | View List → | |
| Oracle Database | 288,642+ | 1202675% | View List → | |
| Microsoft SQL Server | 123,284+ | 513683% | View List → | |
| MongoDB | 47,284+ | 197017% | View List → | |
| PostgreSQL | 83,284+ | 347017% | View List → | |
| Redis | 43,284+ | 180350% | View List → | |
| Apache Cassandra | 8,836+ | 36817% | View List → | |
| IBM Db2 | 27,836+ | 115983% | View List → | |
| MariaDB | 33,284+ | 138683% | View List → | |
| SQLite | 497,836+ | 2074317% | View List → | |
| CouchDB | 11,284+ | 47017% | View List → | |
| Amazon DynamoDB | 28,284+ | 117850% | View List → | |
| Couchbase | 6,836+ | 28483% | View List → | |
| Neo4j | 7,284+ | 30350% | View List → | |
| Teradata Database | 5,184+ | 21600% | View List → | |
| Microsoft Access | 203,284+ | 847017% | View List → | |
| SAP HANA | 24,836+ | 103483% | View List → | |
| Google Spanner | 6,284+ | 26183% | View List → | |
| Amazon Aurora | 33,284+ | 138683% | View List → | |
| Firebird | 13,284+ | 55350% | View List → | |
| Apache Pinot | 32+ | 133% | View List → | |
| dBASE | 85,836+ | 357650% | View List → | |
| dropdb | 85,596+ | 356650% | View List → | |
| Firebolt | 85,754+ | 357308% | View List → | |
| HSQLDB | 85,844+ | 357683% | View List → | |
| Neo4j | 85,862+ | 357758% | View List → | |
| PL/Lua | 85,642+ | 356842% | View List → | |
| PL/Proxy | 85,634+ | 356808% | View List → | |
| psql | 188+ | 783% | View List → | |
| TablePlus | 90,494+ | 377058% | View List → | |
| Tokyo Cabinet | 136+ | 567% | View List → | |
| vacuumdb | 196+ | 817% | View List → | |
| Oracle Corporation | 476,892 | 1987050% | View List → | |
| Elasticsearch | 87,828 | 365950% | View List → | |
| Cassandra | 94,724 | 394683% | View List → | |
| Amazon RDS | 85,872 | 357800% | View List → | |
| Microsoft Azure SQL | 85,868 | 357783% | View List → | |
| Google Cloud SQL | 85,866 | 357775% | View List → | |
| Oracle MySQL | 76,543 | 318929% | View List → | |
| InfluxDB | 85,858 | 357742% | View List → | |
| TimescaleDB | 16,052 | 66883% | View List → | |
| Apache HBase | 85,856 | 357733% | View List → | |
| Google BigQuery | 11,606 | 48358% | View List → | |
| Snowflake | 85,854 | 357725% | View List → | |
| Amazon Redshift | 8,772 | 36550% | View List → | |
| Vertica | 85,852 | 357717% | View List → | |
| Teradata | 6,606 | 27525% | View List → | |
| H2 Database | 85,848 | 357700% | View List → | |
| Apache Derby | 85,846 | 357692% | View List → | |
| Informix | 3,272 | 13633% | View List → | |
| Sybase ASE | 85,842 | 357675% | View List → | |
| FileMaker | 1,606 | 6692% | View List → | |
| FoxPro | 85,834 | 357642% | View List → | |
| Paradox | 772 | 3217% | View List → | |
| InterBase | 85,832 | 357633% | View List → | |
| Ingres | 85,828 | 357617% | View List → | |
| CA IDMS | 606 | 2525% | View List → | |
| IMS | 85,826 | 357608% | View List → | |
| ADABAS | 494 | 2058% | View List → | |
| Riak | 85,824 | 357600% | View List → | |
| Amazon SimpleDB | 328 | 1367% | View List → | |
| Azure Cosmos DB | 272 | 1133% | View List → | |
| Google Cloud Firestore | 85,818 | 357575% | View List → | |
| ArangoDB | 85,816 | 357567% | View List → | |
| OrientDB | 106 | 442% | View List → | |
| RethinkDB | 85,814 | 357558% | View List → | |
| FaunaDB | 94 | 392% | View List → | |
| DGraph | 85,812 | 357550% | View List → | |
| Amazon Neptune | 85,808 | 357533% | View List → | |
| Azure SQL Database Edge | 78 | 325% | View List → | |
| TigerGraph | 72 | 300% | View List → | |
| MemSQL | 85,806 | 357525% | View List → | |
| VoltDB | 85,804 | 357517% | View List → | |
| NuoDB | 56 | 233% | View List → | |
| ScyllaDB | 85,802 | 357508% | View List → | |
| CockroachDB | 85,798 | 357492% | View List → | |
| YugabyteDB | 54 | 225% | View List → | |
| FoundationDB | 85,796 | 357483% | View List → | |
| RavenDB | 85,794 | 357475% | View List → | |
| MongoDB Atlas | 85,792 | 357467% | View List → | |
| Amazon DocumentDB | 58 | 242% | View List → | |
| Azure Table Storage | 62 | 258% | View List → | |
| Google Cloud Bigtable | 85,788 | 357450% | View List → | |
| Apache Accumulo | 85,786 | 357442% | View List → | |
| Apache Phoenix | 85,782 | 357425% | View List → | |
| Apache Druid | 64 | 267% | View List → | |
| ClickHouse | 34 | 142% | View List → | |
| Apache Kudu | 85,778 | 357408% | View List → | |
| Greenplum | 85,776 | 357400% | View List → | |
| Exasol | 24 | 100% | View List → | |
| MonetDB | 85,774 | 357392% | View List → | |
| Columnstore | 66 | 275% | View List → | |
| Apache Parquet | 85,772 | 357383% | View List → | |
| Apache ORC | 22 | 92% | View List → | |
| Delta Lake | 18 | 75% | View List → | |
| Apache Iceberg | 85,768 | 357367% | View List → | |
| Apache Hudi | 85,766 | 357358% | View List → | |
| Presto | 16 | 67% | View List → | |
| Trino | 14 | 58% | View List → | |
| Apache Spark SQL | 85,764 | 357350% | View List → | |
| Dremio | 85,762 | 357342% | View List → | |
| Starburst | 12 | 50% | View List → | |
| Denodo | 85,758 | 357325% | View List → | |
| Databricks | 85,756 | 357317% | View List → | |
| Rockset | 8 | 33% | View List → | |
| SingleStore | 6 | 25% | View List → | |
| PlanetScale | 85,752 | 357300% | View List → | |
| Neon | 85,748 | 357283% | View List → | |
| Supabase | 4 | 17% | View List → | |
| Xata | 2 | 8% | View List → | |
| TursoDB | 85,746 | 357275% | View List → | |
| Vitess | 85,744 | 357267% | View List → | |
| ProxySQL | 85,742 | 357258% | View List → | |
| MaxScale | 85,738 | 357242% | View List → | |
| PgBouncer | 85,736 | 357233% | View List → | |
| pgpool | 68 | 283% | View List → | |
| Postgres-XL | 85,734 | 357225% | View List → | |
| CitusDB | 74 | 308% | View List → | |
| Amazon RDS Proxy | 76 | 317% | View List → | |
| Azure Database for PostgreSQL | 85,728 | 357200% | View List → | |
| Azure Database for MySQL | 85,726 | 357192% | View List → | |
| Azure Database for MariaDB | 82 | 342% | View List → | |
| Google Cloud SQL for PostgreSQL | 84 | 350% | View List → | |
| Google Cloud SQL for MySQL | 85,724 | 357183% | View List → | |
| Google Cloud SQL for SQL Server | 85,722 | 357175% | View List → | |
| Amazon RDS for PostgreSQL | 86 | 358% | View List → | |
| Amazon RDS for MySQL | 88 | 367% | View List → | |
| Amazon RDS for MariaDB | 85,718 | 357158% | View List → | |
| Amazon RDS for Oracle | 52 | 217% | View List → | |
| Amazon RDS for SQL Server | 92 | 383% | View List → | |
| Oracle Database Cloud | 254 | 1058% | View List → | |
| Oracle Autonomous Database | 49 | 204% | View List → | |
| Oracle Exadata | 48 | 200% | View List → | |
| Oracle RAC | 47 | 196% | View List → | |
| Oracle Data Guard | 46 | 192% | View List → | |
| Oracle GoldenGate | 45 | 188% | View List → | |
| Oracle TimesTen | 44 | 183% | View List → | |
| Oracle Berkeley DB | 43 | 179% | View List → | |
| Oracle NoSQL Database | 42 | 175% | View List → | |
| IBM Db2 on Cloud | 41 | 171% | View List → | |
| IBM Db2 Warehouse | 256 | 1067% | View List → | |
| IBM Cloudant | 39 | 163% | View List → | |
| IBM Informix | 38 | 158% | View List → | |
| IBM IMS | 37 | 154% | View List → | |
| IBM VSAM | 36 | 150% | View List → | |
| Microsoft SQL Server Express | 96 | 400% | View List → | |
| Microsoft SQL Server Standard | 98 | 408% | View List → | |
| Microsoft SQL Server Enterprise | 85,716 | 357150% | View List → | |
| Microsoft SQL Server Developer | 85,714 | 357142% | View List → | |
| Microsoft SQL Server Compact | 102 | 425% | View List → | |
| Microsoft SQL Server LocalDB | 104 | 433% | View List → | |
| SAP Sybase IQ | 29 | 121% | View List → | |
| SAP Sybase ASA | 28 | 117% | View List → | |
| SAP MaxDB | 27 | 113% | View List → | |
| SAP HANA Cloud | 26 | 108% | View List → | |
| SAP HANA Express | 25 | 104% | View List → | |
| Redis Enterprise | 85,712 | 357133% | View List → | |
| Redis Cloud | 108 | 450% | View List → | |
| Redis Sentinel | 112 | 467% | View List → | |
| Redis Cluster | 85,708 | 357117% | View List → | |
| Memcached | 85,706 | 357108% | View List → | |
| Hazelcast | 114 | 475% | View List → | |
| Apache Ignite | 116 | 483% | View List → | |
| GridGain | 85,704 | 357100% | View List → | |
| Ehcache | 85,702 | 357092% | View List → | |
| Caffeine | 118 | 492% | View List → | |
| Chronicle Map | 122 | 508% | View List → | |
| MapDB | 85,698 | 357075% | View List → | |
| LMDB | 85,696 | 357067% | View List → | |
| RocksDB | 124 | 517% | View List → | |
| LevelDB | 126 | 525% | View List → | |
| BerkeleyDB | 85,694 | 357058% | View List → | |
| GDBM | 85,692 | 357050% | View List → | |
| DBM | 128 | 533% | View List → | |
| NDBM | 132 | 550% | View List → | |
| SDBM | 85,688 | 357033% | View List → | |
| TDB | 85,686 | 357025% | View List → | |
| QDBM | 134 | 558% | View List → | |
| Kyoto Cabinet | 85,684 | 357017% | View List → | |
| FairCom c-treeRTG | 49,378 | 205742% | View List → | |
| Percona Server | 43,832 | 182633% | View List → | |
| Percona XtraDB Cluster | 38,274 | 159475% | View List → | |
| Galera Cluster | 32,712 | 136300% | View List → | |
| MySQL Cluster | 27,156 | 113150% | View List → | |
| TokuDB | 21,608 | 90033% | View List → | |
| MyRocks | 85,682 | 357008% | View List → | |
| Aria | 85,678 | 356992% | View List → | |
| PBXT | 5,494 | 22892% | View List → | |
| Archive | 4,936 | 20567% | View List → | |
| CSV Storage Engine | 85,676 | 356983% | View List → | |
| FEDERATED | 85,674 | 356975% | View List → | |
| MEMORY | 85,672 | 356967% | View List → | |
| MERGE | 2,714 | 11308% | View List → | |
| EXAMPLE | 2,158 | 8992% | View List → | |
| BLACKHOLE | 85,668 | 356950% | View List → | |
| MyISAM | 1,052 | 4383% | View List → | |
| InnoDB | 936 | 3900% | View List → | |
| XtraDB | 85,666 | 356942% | View List → | |
| Spider | 85,664 | 356933% | View List → | |
| CONNECT | 85,658 | 356908% | View List → | |
| OQGRAPH | 552 | 2300% | View List → | |
| SEQUENCE | 85,656 | 356900% | View List → | |
| Cassandra Storage Engine | 436 | 1817% | View List → | |
| PostgreSQL FDW | 85,654 | 356892% | View List → | |
| PostGIS | 85,652 | 356883% | View List → | |
| Citus | 214 | 892% | View List → | |
| pg_partman | 158 | 658% | View List → | |
| PL/pgSQL | 138 | 575% | View List → | |
| PL/Python | 142 | 592% | View List → | |
| PL/Perl | 144 | 600% | View List → | |
| PL/Tcl | 85,646 | 356858% | View List → | |
| PL/R | 85,644 | 356850% | View List → | |
| PL/Java | 146 | 608% | View List → | |
| PL/sh | 148 | 617% | View List → | |
| PL/v8 | 85,638 | 356825% | View List → | |
| PL/Coffee | 152 | 633% | View List → | |
| PL/LiveScript | 85,636 | 356817% | View List → | |
| PL/Container | 154 | 642% | View List → | |
| MADlib | 156 | 650% | View List → | |
| PostBIS | 85,632 | 356800% | View List → | |
| pgRouting | 85,628 | 356783% | View List → | |
| pgAgent | 162 | 675% | View List → | |
| pgAdmin | 164 | 683% | View List → | |
| pgModeler | 85,626 | 356775% | View List → | |
| pgLoader | 85,624 | 356767% | View List → | |
| pglogical | 166 | 692% | View List → | |
| Bucardo | 168 | 700% | View List → | |
| Londiste | 85,622 | 356758% | View List → | |
| Slony-I | 85,616 | 356733% | View List → | |
| pgpool-II | 172 | 717% | View List → | |
| pgbench | 85,614 | 356725% | View List → | |
| pg_stat_statements | 85,612 | 356717% | View List → | |
| pg_buffercache | 176 | 733% | View List → | |
| pg_freespacemap | 178 | 742% | View List → | |
| pg_visibility | 85,608 | 356700% | View List → | |
| pg_prewarm | 85,606 | 356692% | View List → | |
| pg_trgm | 182 | 758% | View List → | |
| pg_repack | 184 | 767% | View List → | |
| pg_upgrade | 85,604 | 356683% | View List → | |
| pg_dump | 85,602 | 356675% | View List → | |
| pg_restore | 186 | 775% | View List → | |
| createdb | 85,598 | 356658% | View List → | |
| createuser | 192 | 800% | View List → | |
| dropuser | 194 | 808% | View List → | |
| clusterdb | 85,594 | 356642% | View List → | |
| reindexdb | 85,592 | 356633% | View List → | |
| pgcrypto | 198 | 825% | View List → | |
| Azure SQL Database | 10,792 | 44967% | View List → | |
| BigQuery | 80,866 | 336942% | View List → | |
| Redshift | 80,864 | 336933% | View List → | |
| Apache Spark | 80,848 | 336867% | View List → | |
| Apache Hadoop | 3,126 | 13025% | View List → | |
| HBase | 80,846 | 336858% | View List → | |
| Google Firestore | 1,442 | 6008% | View List → |
* Install counts are verified by ELP Data's technology signal detection and quarterly refresh process. Figures reflect confirmed active deployments, not total licences sold.
A representative sample of enterprise and mid-market companies confirmed as active Database Management (DBMS) users. ELP Data's full database includes 2.4M+ verified companies across all size tiers.
| Company | Industry | Est. Revenue | Employees | HQ Country |
|---|---|---|---|---|
| Wikipedia / Wikimedia Foundation | Non-Profit / Online Encyclopedia | $180M+ | 700+ | United States |
| Uber Technologies | Ride-Hailing & Delivery | $37B+ | 32,000+ | United States |
| Netflix Inc. | Media Streaming | $33B+ | 13,000+ | United States |
| Airbnb Inc. | Travel & Hospitality | $9.9B+ | 6,900+ | United States |
| GitHub Inc. (Microsoft) | Developer Platform | $2.5B+ | 3,000+ | United States |
| Slack Technologies (Salesforce) | Collaboration Software | $1.8B+ | 2,500+ | United States |
| Discord Inc. | Communication Platform | $600M+ | 600+ | United States |
| Reddit Inc. | Social Media / Forum | $804M+ | 2,100+ | United States |
| Pinterest Inc. | Social Media / Discovery | $3B+ | 3,500+ | United States |
| Stripe Inc. | Payments Infrastructure | $14B+ | 7,000+ | United States |
Company names are blurred in the sample above to protect client data. The full Database Management (DBMS) list includes company names, websites, and all contact fields for all 2.4M+ verified organisations. Request a free sample to confirm data quality before purchase.
How the 2.4M+ verified Database Management (DBMS) companies are distributed across industry verticals.
Where the 2.4M+ verified Database Management (DBMS) companies are located worldwide.
| Region / Country | Companies | Share | |
|---|---|---|---|
| 🇺🇸 United States | 9+ | 38% | |
| 🇮🇳 India | 3+ | 12% | |
| 🇩🇪 Germany | 2+ | 8% | |
| 🇬🇧 United Kingdom | 2+ | 8% | |
| 🇨🇳 China | 1+ | 6% | |
| 🇨🇦 Canada | 1+ | 5% | |
| 🇯🇵 Japan | 1+ | 5% | |
| 🌍 Rest of World | 4+ | 18% |
Key roles ELP Data tracks across 2.4M+ verified Database Management (DBMS) companies.
| Job Title | Contacts Available | Share | |
|---|---|---|---|
| Database Administrator | 6+ | 24% | |
| Data Engineer | 4+ | 18% | |
| IT Director | 3+ | 12% | |
| Chief Data Officer | 2+ | 8% | |
| Database Architect | 3+ | 14% | |
| VP of Engineering | 2+ | 8% | |
| Systems Administrator | 2+ | 10% | |
| CTO | 1+ | 6% |
These are the specific job titles that evaluate, purchase, and manage Database Management (DBMS) solutions at the 2.4M+ companies in ELP Data's database.
The most common reasons B2B sales and marketing teams use ELP Data's Database Management (DBMS) contact database.
Sell performance monitoring and query optimization tools to DBAs and data architects.
Target IT directors at companies migrating from legacy Oracle or SQL Server to modern cloud databases.
Offer database encryption, masking, and auditing tools to compliance and security teams.
Target engineering teams evaluating MongoDB, Cassandra, or Redis as alternatives to relational databases.
Understanding these pain points helps you craft outreach that resonates with Database Management (DBMS) decision-makers.
Slow queries and database bottlenecks are persistent issues requiring expert DBA tuning.
Traditional relational databases struggle to scale horizontally for modern web-scale applications.
Ensuring 99.99% uptime for mission-critical databases requires complex replication and failover setups.
Protecting sensitive data in databases from breaches and meeting compliance requirements is complex.
The full commercial opportunity in the Database Management (DBMS) installed base.
The total addressable market for vendors targeting Database Management (DBMS) users is defined by the 2.4M+ confirmed companies currently running Database Management (DBMS) solutions worldwide. These organisations have already validated budget for this technology category — meaning they have active decision-makers, a procurement process, and demonstrated willingness to invest. For any vendor selling complementary software, services, or upgrades, this installed base is your maximum reachable market.
Within the 2.4M+ total companies, your serviceable addressable market (SAM) narrows based on product fit, target company size, and geography. The Database Management (DBMS) installed base spans every company size — from SMBs adopting Database Management (DBMS) tools for the first time to Fortune 500 enterprises with global deployments across multiple business units. ELP Data's filtering capability lets you isolate exactly the segment that matches your ideal customer profile, converting a broad TAM into a precise, actionable pipeline.
Decision-maker density multiplies the contact opportunity. Each company in the Database Management (DBMS) installed base has between 3 and 7 relevant contacts involved in purchasing decisions — Database Administrator, Data Architect, VP Engineering, IT Director and more. This means your reachable contact universe is typically 3–5x the raw company count, giving multiple entry points into every buying committee.
Recent developments that make Database Management (DBMS) users high-priority prospects right now.
Oracle's latest database release embeds AI vector search directly into SQL, enabling RAG applications without separate vector databases.
PostgreSQL's ranking overtakes MySQL as enterprises favour its advanced features, JSON support, and active open-source community.
SQL Server 2025 offers unified management across on-premise and cloud deployments through Azure Arc.
Cloud databases, vector databases, and AI-native data platforms drive the fastest growth in enterprise data management history.
Every Database Management (DBMS) contact record includes 14 verified data fields delivered within 24 hours.
Unlike generic B2B databases that rely on self-reported company profiles, ELP Data's Database Management (DBMS) contact data is built on verified technology install signals — job postings referencing Database Management (DBMS) tools, LinkedIn technology indicators, integration partner directories, and direct verification. Every email address is validated for deliverability before delivery, and any record that bounces is replaced at no charge under the 97% accuracy guarantee.
Lists are delivered as clean CSV or Excel files within 24 hours of purchase, ready to upload directly into Salesforce, HubSpot, Marketo, Outreach, Salesloft, or any other CRM or sequencing platform. Filters can be applied at time of order — by country, company size, revenue band, industry vertical, and specific job title — so your list arrives pre-segmented and ready to activate without additional cleaning work.
ELP Data provides lists for individual Database Management (DBMS) applications as well as the full category database. If you need contacts specifically at companies running a single platform — for example, targeting only one specific application rather than the entire Database Management (DBMS) category — each individual application page has its own verified users list with platform-specific counts, sample data, and filtering options. This level of granularity is what separates ELP Data from generic intent data providers that cannot distinguish between companies actively running a specific tool versus companies that have merely shown browsing interest in the category.
For enterprise sales teams, ELP Data can also provide custom-built Database Management (DBMS) lists that cross-reference multiple criteria simultaneously — for example, companies running a specific Database Management (DBMS) application AND operating in a specific industry AND headquartered in a specific region AND employing between 500 and 5,000 people. These multi-filter custom lists are built on request and delivered within 48 hours, ensuring your prospecting list matches your ideal customer profile precisely rather than requiring manual filtering after delivery.
How the 2.4M+ verified Database Management (DBMS) companies are distributed by annual revenue and employee count. Use this to identify the company size that matches your ideal customer profile before requesting a filtered list.
| Revenue Band | Companies | Share |
|---|---|---|
| Under $10M | 3+ | 12% |
| $10M – $50M | 5+ | 19% |
| $50M – $100M | 3+ | 14% |
| $100M – $500M | 6+ | 23% |
| $500M – $1B | 4+ | 15% |
| $1B – $5B | 3+ | 11% |
| Over $5B | 1+ | 6% |
| Company Size | Companies | Share |
|---|---|---|
| 1 – 50 employees | 2+ | 10% |
| 51 – 200 employees | 4+ | 17% |
| 201 – 500 employees | 5+ | 20% |
| 501 – 1,000 employees | 5+ | 22% |
| 1,001 – 5,000 employees | 5+ | 19% |
| 5,000+ employees | 3+ | 12% |
The revenue breakdown of the Database Management (DBMS) installed base reveals that the largest concentration of companies falls in the $100M–$500M mid-market range — organisations large enough to have formal procurement processes and technology budgets, but still agile enough to make purchasing decisions within a 30–60 day sales cycle. This segment is the highest-value target for most vendors selling complementary or competitive Database Management (DBMS) solutions, because it combines meaningful deal size with faster evaluation timelines than true enterprise accounts.
The enterprise segment — companies above $1 billion in annual revenue — represents approximately 17% of the Database Management (DBMS) installed base by company count but typically 40–60% of total contract value in any campaign. These accounts have complex multi-stakeholder buying committees where multiple titles from the Database Management (DBMS) decision-maker list will be involved simultaneously. ELP Data's data maps up to 7 contacts per company at this tier, giving sales teams full buying committee coverage from technical evaluator through to C-suite economic buyer.
Companies that run Database Management (DBMS) solutions consistently co-adopt a predictable set of complementary platforms. Understanding this tech stack overlap is critical for positioning your outreach message and identifying integration opportunities.
Technology co-adoption data reveals which adjacent platforms exist within the same IT environment as Database Management (DBMS). Companies running Database Management (DBMS) solutions typically also invest in CRM platforms, ERP systems, cloud infrastructure, cybersecurity tools, and business intelligence software. This overlap is commercially significant for three reasons: it confirms technology budget maturity (these companies invest across multiple platforms, not just one), it identifies integration opportunities (your product may already plug into something they use), and it reveals competitive positioning (knowing their full stack tells you which incumbent you are displacing and what switching costs exist).
For sales teams, co-adoption data answers the question of where Database Management (DBMS) fits in the broader IT architecture. Is it a standalone departmental tool or deeply integrated with ERP and finance systems? Is it cloud-native or running alongside legacy on-premises infrastructure? These distinctions determine the length of the sales cycle, the seniority of the buying committee, and the type of ROI narrative that will resonate. ELP Data's technology intelligence allows you to filter the Database Management (DBMS) list by co-adopted platforms — so you can target, for example, only Database Management (DBMS) users who also run Salesforce, or only those on AWS cloud infrastructure.
For marketing teams, co-adoption signals suggest which industry events, publications, and online communities your Database Management (DBMS) target audience frequents. A Database Management (DBMS) user who also runs SAP is most likely to be reading enterprise IT publications and attending SAP-focused conferences. A Database Management (DBMS) user running HubSpot alongside it is more likely to be a mid-market marketing-led organisation attending SaaStr or Inbound. Aligning your content marketing and demand generation to the co-adoption profile of your target segment is one of the most underused advantages of technographic data — and ELP Data makes this level of targeting available at the contact level, not just the company level.
Three-stage verification process applied to every record in the Database Management (DBMS) database before delivery.
ELP Data identifies confirmed Database Management (DBMS) users through multiple independent technology signals: job postings explicitly naming Database Management (DBMS) platforms, LinkedIn technology indicators on company profiles, certified partner and integration directories published by Database Management (DBMS) vendors, industry conference attendee records, and technology review platform profiles. A company must appear in at least two independent signal sources before being added to the Database Management (DBMS) database. Single-source identifications are held in a pending status and verified before activation.
Once a company is confirmed as a Database Management (DBMS) user, ELP Data's contact verification process identifies and validates individual decision-maker records. Each contact undergoes SMTP verification to confirm the email address exists at the mail server level before the record is added to the live database. Invalid, non-existent, and role-based email addresses (such as info@ or admin@) are excluded automatically. Direct dial phone numbers are validated against national carrier databases. LinkedIn URLs are checked for active profile status.
The Database Management (DBMS) database is refreshed quarterly. Each refresh cycle removes contacts who have changed roles or left the company, removes companies that have decommissioned Database Management (DBMS) platforms, and adds newly identified Database Management (DBMS) users and new contacts at existing companies. For customers, this means the list you receive reflects the current installed base — not snapshot data from 18 months ago. Any record that bounces after delivery is replaced at no charge, backed by the 97% accuracy guarantee applied to every ELP Data list.
Why verification depth matters: Most B2B data providers validate email addresses at the format level only — confirming that an address looks syntactically correct. ELP Data's SMTP-level validation goes further, confirming the address exists on the recipient's mail server before the record enters the live database. This single additional verification step is the primary reason ELP Data achieves sub-3% bounce rates on delivered lists while industry averages run at 8–15%.
Verification at the company level is equally critical. Technology installed base data degrades faster than general contact data because companies routinely switch platforms, consolidate vendors, or decommission tools during M&A activity. A Database Management (DBMS) user list that is 18 months old may have 25–35% of companies that have already migrated to different platforms — meaning a third of your outreach budget is spent on companies where Database Management (DBMS) messaging is no longer relevant. ELP Data's quarterly refresh cycle and active churn monitoring keeps this obsolescence rate well below 5% at the point of delivery.
B2B teams across industries have activated ELP Data's Database Management (DBMS) contact database with these six approaches — each backed by real campaign results.
The most direct use of the Database Management (DBMS) list is cold email outreach to verified decision-makers. Load the CSV into your sequencing platform — Outreach, Salesloft, Apollo, or HubSpot Sequences — and build a 4–6 step email series that opens with a reference to the recipient's specific Database Management (DBMS) environment. Personalisation that references the exact platform a prospect is running (rather than generic technology language) consistently increases open rates by 18–30% compared to non-technographic sequences. The key is ensuring every contact on your list is a confirmed user — which is why ELP Data's triple verification matters before you build the sequence.
Use the Database Management (DBMS) company list as the foundation for an ABM Target Account List. Score accounts using company size, revenue, geography, and industry to identify the highest-fit targets. Upload the company list to LinkedIn Matched Audiences and Google Customer Match to serve display and LinkedIn ads to Database Management (DBMS) companies while your sales team is simultaneously running outbound sequences. The combination of warm advertising touchpoints and personalised email outreach is the defining characteristic of high-performing ABM programmes — and it requires a verified company list as its starting point.
For vendors selling a product that competes with or replaces existing Database Management (DBMS) solutions, the installed base list is a competitive displacement roadmap. Filter the Database Management (DBMS) list by companies showing signals of dissatisfaction — open job postings for implementation specialists (indicating internal struggle with the platform), recent executive departures from the Database Management (DBMS) admin function, or companies with active RFP activity. ELP Data can cross-reference these signals on request, delivering a shortlist of Database Management (DBMS) users most likely to be in active evaluation mode — the highest-conversion segment in any competitive displacement campaign.
Segment the Database Management (DBMS) list by industry vertical to run campaigns with industry-specific messaging. A Database Management (DBMS) user in financial services has different compliance requirements, risk tolerance, and purchasing authority than a Database Management (DBMS) user in manufacturing or healthcare. Generic Database Management (DBMS) outreach that ignores industry context consistently underperforms compared to vertically segmented campaigns. Request the Database Management (DBMS) list pre-filtered by your target industry and build separate sequences for each vertical — this single segmentation step typically doubles reply rates in campaigns with clear vertical product-market fit.
Use the Database Management (DBMS) list filtered by country, region, or city to fuel geographic field sales and event marketing campaigns. Before trade shows, technology conferences, or regional roadshows, filter the Database Management (DBMS) list by the host city or surrounding area and send personalised pre-event invitations to Database Management (DBMS) decision-makers in the region. Post-event, the same regional list enables rapid follow-up to all Database Management (DBMS) users in the geography who did not attend — converting regional brand presence into a full pipeline of relevant local prospects. This geographic activation converts one event investment into a sustained regional pipeline that continues beyond the event window.
Many sales teams have Database Management (DBMS) companies already in their CRM but lack verified direct emails, current phone numbers, or contacts at the right seniority level. ELP Data's Database Management (DBMS) list enriches these existing records by matching on company name or domain and appending missing fields — direct email, LinkedIn URL, job title, phone number, and seniority level. Enrichment campaigns require no additional prospecting investment: your sales team is already aware of these accounts. The only constraint is data quality. ELP Data's enrichment process fills this gap and typically uncovers 2–4 new contacts per existing account at the correct seniority level, immediately expanding the pipeline at known target accounts without any new account identification effort.
The most effective ways B2B sales and marketing teams activate ELP Data's Database Management (DBMS) contact database.
Email outreach and sequencing: Upload the Database Management (DBMS) contact list directly into your email platform — HubSpot, Salesloft, Outreach, Mailchimp, or any CRM that accepts CSV. Segment by industry, company size, or job title to run targeted sequences with messaging that speaks directly to the Database Management (DBMS) environment. Decision-makers who already use Database Management (DBMS) tools respond significantly better to outreach that references their existing technology stack and presents a relevant integration, upgrade, or complementary solution.
Account-based marketing (ABM): Use the Database Management (DBMS) company list to build a Target Account List for ABM programmes. Match against your ideal customer profile, then activate LinkedIn Matched Audiences, Google Customer Match, or programmatic display to serve targeted ads to Database Management (DBMS) companies before your sales team calls. The combination of warm advertising and direct outreach consistently improves reply rates and compresses sales cycles.
Event and field sales targeting: Filter the Database Management (DBMS) list by geography — city, region, or country — to identify high-priority accounts ahead of trade shows, roadshows, or regional events. Use verified direct emails and phone numbers to invite Database Management (DBMS) decision-makers to in-person meetings, executive dinners, or hosted sessions. Post-event follow-up is faster and more personal when your sales team already has verified contact data for every attendee.
CRM enrichment: If you already have Database Management (DBMS) companies in your CRM but are missing direct emails, phone numbers, or specific decision-maker contacts, ELP Data's list enriches your existing records. Cross-reference the delivered file against your CRM to fill data gaps, identify new contacts at known accounts, and flag recently identified Database Management (DBMS) users as high-priority prospects for immediate outreach.
Competitive displacement: For vendors selling an alternative to existing Database Management (DBMS) platforms, the installed base list identifies which companies are running competing solutions and how deeply embedded they are by company size and contract age. Displacement campaigns perform best when targeting companies showing signs of dissatisfaction — high staff turnover in Database Management (DBMS) admin roles, open implementation partner contracts, or active job postings for Database Management (DBMS) administrators — all of which ELP Data can cross-reference on request.
B2B sales and marketing teams that have used ELP Data's Database Management (DBMS) contact lists.
“The Database Management (DBMS) users list from ELP Data was exactly what we needed. Highly targeted, accurate contacts delivered within hours. We booked 14 qualified demos in the first two weeks — far better than any list we have used before.”
“We tried ZoomInfo and Apollo for Database Management (DBMS) data and neither came close to ELP Data's accuracy. The contacts are genuinely verified — bounce rate was under 3%. Will absolutely purchase again for our next campaign.”
“Good quality data, fast delivery, helpful support. The Database Management (DBMS) list gave us access to decision-makers we could not find through any other channel. Filtering by company size and industry made segmentation easy.”
“ELP Data is our go-to for technology installed base lists. The Database Management (DBMS) contacts were current, properly segmented, and the free sample accurately reflected full list quality. Highly recommended.”
Most B2B data providers offer broad company databases where Database Management (DBMS) usage is an optional filter — not a core data point. The result is lists where a significant percentage of companies are incorrectly flagged as Database Management (DBMS) users, either because data is outdated, self-reported, or inferred from weak signals. ELP Data is purpose-built for technographic contact data: every company in the Database Management (DBMS) list is verified through active technology signals, not estimated from company-size proxies or industry codes.
The practical difference shows in campaign results. ELP Data customers running outreach to Database Management (DBMS) installed base contacts consistently report bounce rates under 3%, reply rates above industry benchmarks, and pipeline generated within the first two weeks of activation. When every contact on your list is a confirmed user of the technology your product targets, the relevance of your outreach is immediately apparent to the recipient — which is the single biggest driver of B2B email response rates.
ELP Data also operates a transparent free sample policy. Before any purchase, you can request a sample of the Database Management (DBMS) list — typically 10 to 25 records with all 14 data fields included — so you can verify data quality against your own CRM and test deliverability before committing. There is no obligation to purchase after reviewing a sample, and the sample is delivered within 24 hours of request. This means you can evaluate ELP Data's Database Management (DBMS) data quality directly against competitors without any financial risk.
Access 2.4M+ verified Database Management (DBMS) companies. Filter by industry, company size, geography and job title. Delivered within 24 hours.
Request Free Sample →