Google BigQuery is used by 85,902 companies worldwide. Connect with decision-makers at these organizations through ELP Data's verified contact database.
Free sample · 85,902 companies · 24hr delivery
As of 2026, 85,902 verified organisations are running Google BigQuery as part of their technology stack. The largest concentrations are in Technology, Financial Services, Healthcare — representing the sectors where Google BigQuery adoption is deepest and where decision-maker budgets are highest. Below is a representative sample of companies using Google BigQuery drawn from ELP Data's verified database.
| Company | Industry | Location | Contact Role |
|---|---|---|---|
| Pinnacle Software Group | Technology | San Francisco, CA | VP of Sales |
| Meridian Capital Advisors | Financial Services | New York, NY | Sales Director |
| Northstar Health Systems | Healthcare | Chicago, IL | Account Executive |
| Cascade Retail Group | Retail | Austin, TX | CRM Administrator |
| Granite Ridge Manufacturing | Manufacturing | Detroit, MI | Business Development Manager |
Sample only. Full database contains 85,902 verified Google BigQuery customer organisations across 190+ countries.
Google BigQuery is a leading Big Data platform currently deployed by 85,902 companies worldwide. Google BigQuery is used by 85,902 companies worldwide. Connect with decision-makers at these organizations through ELP Data's verified contact database. Organizations across Technology, Financial Services, Healthcare represent the strongest user base, making Google BigQuery contacts a high-value segment for complementary solution providers, implementation partners, and specialist consulting firms.
ELP Data's verified Google BigQuery users list gives you direct access to 85,902 confirmed companies running Google BigQuery in their technology stack. Each record includes the contact's full name, direct email address, phone number, LinkedIn profile URL, job title, seniority level, company name, company size (employees and revenue), industry classification, and geographic location — all verified to 97% accuracy with quarterly data refreshes.
The typical Google BigQuery buyer and decision-maker profile includes Data Engineer, Data Architect, VP of Data — professionals with direct budget authority and technology purchasing influence at their organisations. These contacts are actively evaluating software solutions that integrate with, extend, or complement their existing Google BigQuery environment, making them highly receptive to targeted B2B outreach from relevant vendors and service providers.
Companies that purchase the Google BigQuery users list from ELP Data use it for a wide range of B2B sales and marketing campaigns: selling complementary software integrations, offering Google BigQuery implementation and customisation consulting, promoting training and certification programmes, running account-based marketing (ABM) campaigns by industry or company size, and competitive displacement targeting. The list can be filtered by country, company size, revenue band, industry vertical, and specific job title to match your exact ideal customer profile.
The Google BigQuery installed base spans companies of every size — from fast-growing mid-market firms to Fortune 500 enterprises with global deployments. This diversity means the list serves multiple go-to-market motions simultaneously: enterprise sales teams can filter for companies with 5,000+ employees and specific industry codes, while SMB-focused vendors can target the long tail of smaller organisations that have adopted Google BigQuery for the first time. Geography filters allow campaigns to be localised by country, state, or city for field sales, regional events, or territory-based outreach.
ELP Data sources Google BigQuery install data from technology job postings, LinkedIn technology signals, integration partner directories, software review platforms, and verified firmographic databases — then cross-references every record against live business registries and direct email verification tools. The result is a list that reflects who is actually running Google BigQuery today, not who ran it two years ago. With a 97% email deliverability guarantee and a free replacement policy for any record that bounces, you are protected against data quality risk from day one.
Big Data platforms enable organizations to store, process, and analyze massive volumes of structured and unstructured data. These tools power data warehousing, real-time streaming analytics, batch processing, and machine learning pipelines. Used by data engineering teams to derive insights from terabytes to petabytes of data.
Over 567,000 companies use dedicated big data platforms globally
The global big data market exceeds $100 billion annually
Snowflake grew to over 9,000 customers in just 7 years
Apache Spark is used by over 70% of Fortune 500 companies
These are the most common reasons B2B teams target Google BigQuery users with ELP Data.
Sell ETL, ELT, and data pipeline tools to data engineers at companies managing complex data flows.
Target Chief Data Officers and data platform leads with data quality and governance tools.
Offer migration services to companies moving from legacy Hadoop or Teradata to Snowflake or Databricks.
Target data teams with BI, visualization, and ML tools to complement their existing big data stack.
| Full Name | Job Title | Company | Industry | Location | |
|---|---|---|---|---|---|
| James Harrington | VP of Sales | Pinnacle Software Group | Technology | San Francisco, CA | j***@pinnaclesg.com |
| Priya Nair | Sales Director | Meridian Capital Advisors | Financial Services | New York, NY | p***@meridiancap.com |
| Carlos Vega | Account Executive | Northstar Health Systems | Healthcare | Chicago, IL | c***@northstarhealth.com |
| Aisha Thompson | CRM Administrator | Cascade Retail Group | Retail | Austin, TX | a***@cascaderetail.com |
| Wei Chen | Business Development Manager | Granite Ridge Manufacturing | Manufacturing | Detroit, MI | w***@graniteridge.com |
Sample data shown for illustration. Full records include direct email, phone, LinkedIn and 10+ additional fields.
Contact counts are calculated from 85,902 total verified companies in this list.
| Region / Country | Companies | Share | |
|---|---|---|---|
| 🇺🇸 United States | 36,079+ | 42% | |
| 🇬🇧 United Kingdom | 7,731+ | 9% | |
| 🇩🇪 Germany | 6,013+ | 7% | |
| 🇮🇳 India | 8,590+ | 10% | |
| 🇨🇦 Canada | 4,295+ | 5% | |
| 🇦🇺 Australia | 3,436+ | 4% | |
| 🇫🇷 France | 3,436+ | 4% | |
| 🌍 Rest of World | 16,321+ | 19% |
How 85,902 verified contacts are distributed across decision-maker roles.
| Job Title | Contacts Available | Share | |
|---|---|---|---|
| Chief Data Officer | 10,308+ | 12% | |
| Data Engineer | 18,898+ | 22% | |
| Data Architect | 13,744+ | 16% | |
| VP of Data | 8,590+ | 10% | |
| Analytics Engineer | 12,026+ | 14% | |
| Data Science Manager | 10,308+ | 12% | |
| Data Platform Lead | 6,872+ | 8% | |
| CTO | 5,154+ | 6% |
Google BigQuery users face specific challenges that make them receptive to vendors, consultants and service providers.
Managing data quality, lineage, and access control across large distributed datasets is complex.
Cloud data warehouse costs can escalate rapidly without proper query optimization and access controls.
Data engineers with Spark, Kafka, and Snowflake expertise are highly sought and expensive.
Building reliable real-time data pipelines requires specialized streaming architecture expertise.
These are the specific roles that buy, implement and manage Google BigQuery — the contacts in this list.
Every record in our Google BigQuery users list goes through a 4-step verification process before delivery.
We source Google BigQuery user data from 50+ premium B2B data providers, technology install signals, firmographic databases, and public business records.
Each record is cross-validated against LinkedIn, company websites, business registries, and live email verification tools to confirm accuracy.
Our data team refreshes all Google BigQuery contacts quarterly. Bounced emails, job changes, and company moves are corrected in real time.
Your Google BigQuery users list is delivered as a clean CSV/Excel file within 24 hours, ready to upload to any CRM or email platform.
Which size companies use Google BigQuery — and how many are in ELP Data's verified list.
1–499 employees
Small and mid-size businesses adopting Google BigQuery for growth and efficiency.
500–4,999 employees
Mid-market organizations running Google BigQuery as a core enterprise platform.
5,000+ employees
Large enterprises and Fortune 500 companies with deep Google BigQuery deployments.
Every Google BigQuery contact in your list includes these 14 verified data fields.
Understanding the full commercial opportunity in the Google BigQuery installed base.
The total addressable market for vendors targeting Google BigQuery users is defined by the 85,902 confirmed companies currently running Google BigQuery worldwide. This installed base represents the universe of organisations that have already invested in the Big Data category — meaning they have validated budget, a procurement process, and active technology decision-makers in place. For any vendor selling a complementary solution, this is your maximum serviceable market at the top of the funnel.
Within the 85,902 total companies, the realistic serviceable addressable market (SAM) narrows based on your product fit, target company size, and geographic focus. For example, an enterprise software vendor targeting companies with 1,000+ employees operating in financial services would find approximately 28% of the list — or 24,053+ companies representing their highest-priority accounts. The ability to slice the Google BigQuery list by industry vertical, company size band, revenue range, and geography is what converts a broad TAM into an actionable pipeline.
Decision-maker density is a critical TAM multiplier. Most of the 85,902 Google BigQuery companies have multiple relevant contacts — the average enterprise has between 3 and 7 decision-makers involved in a technology purchase. ELP Data maps all relevant titles at each account: Data Engineer, Data Architect, VP of Data, Chief Data Officer and more. This means your actual reachable contact universe is typically 2–4x the raw company count, giving you a deeper pool of outreach targets per account and multiple entry points into each buying committee.
How B2B sales and marketing teams use ELP Data's list of Google BigQuery customers to drive pipeline.
Build a precision TAL from confirmed Google BigQuery customers. Load into Demandbase, 6sense, or Terminus and coordinate email, ads, and calling across the same accounts simultaneously.
Target Google BigQuery customers who are approaching contract renewal or are underserved by their current setup. Reach CFOs, IT Directors, and VPs before they re-sign.
Identify Google BigQuery system integrators, resellers, and consultants in the installed base. Build your partner network from companies already deeply embedded in the Google BigQuery ecosystem.
Invite Google BigQuery decision-makers to product demos, industry webinars, and in-person events. Filter by geography and seniority to fill your pipeline with qualified attendees.
If you already have customers in the Google BigQuery base, use the list to find lookalikes — same industry, same company size — and replicate your best win stories at scale.
Understand the true size of the Google BigQuery installed base by industry, geography, and company size. Use this data to plan territory assignments, content calendars, and product roadmap priorities.
Recent developments that make Google BigQuery users high-priority prospects right now.
Snowflake's cloud data platform continues rapid growth as enterprises consolidate analytics workloads onto a single platform.
Databricks cements its position as the leading data intelligence platform, with strong demand for its unified lakehouse architecture.
The latest Spark release focuses on Python compatibility and AI workload optimisation, reflecting the dominance of Python in data engineering.
The big data analytics market accelerates as AI, IoT, and real-time streaming demands drive investment in data infrastructure.
The Google BigQuery installed base represents one of the most commercially valuable B2B target segments available. Companies that have already invested in Google BigQuery have demonstrated a willingness to purchase and deploy enterprise software — they have budget, a procurement process, and decision-makers who are accustomed to evaluating technology solutions. For vendors selling complementary tools, services, or upgrades, this is a pre-qualified audience of buyers.
Unlike generic email lists or broad industry databases, the Google BigQuery users list is built on verified technology install signals. ELP Data tracks which companies are actively running Google BigQuery through job postings, LinkedIn technology signals, integration partner data, and direct verification — meaning every company in the list is a confirmed Google BigQuery user, not an estimate. This specificity dramatically improves campaign conversion rates compared to untargeted outreach.
The decision-makers in this list — Data Engineer, Data Architect, VP of Data, Chief Data Officer — hold direct budget authority for technology purchases in the 85,902 companies using Google BigQuery. They are actively engaged with the Big Data ecosystem, making them highly receptive to relevant vendor outreach, especially for solutions that integrate with, extend, or modernise their existing Google BigQuery environment. Timing matters: companies that have recently deployed Google BigQuery are in an active expansion phase and are most likely to purchase additional solutions.
ELP Data refreshes the Google BigQuery users list quarterly, removing companies that have churned off the platform and adding newly identified users. This means your pipeline is always based on current, active users — not outdated install data that competitors may still be relying on. With 97% email accuracy guaranteed and CSV delivery within 24 hours, you can launch your campaign the same day you purchase the list.
For sales teams running territory-based motions, the Google BigQuery list can be sliced by geographic region to build focused prospect sets for each account executive. For channel partners and resellers, the list is a powerful tool for identifying end-customer accounts where a conversation about Google BigQuery licensing, support, or expansion is immediately relevant. Whatever your go-to-market model — direct sales, channel, or inbound-assisted — the Google BigQuery installed base is a commercially actionable starting point that eliminates the prospecting phase and lets your team focus on selling.
B2B sales and marketing teams that have used ELP Data's technology user lists.
“The Google BigQuery users list from ELP Data was exactly what we needed. Highly targeted, accurate contacts delivered within hours. We booked 11 qualified demos in the first two weeks of outreach — far better than any list we've used before.”
“We've tried ZoomInfo and Apollo for Google BigQuery data and neither came close to ELP Data's accuracy or depth. The contacts are genuinely verified — bounce rate was under 3%. Will absolutely purchase again for our next campaign.”
“Good quality data, fast delivery, and helpful support team. The Google BigQuery list gave us access to decision-makers we struggled to find through any other channel. Filtered by company size and industry which made segmentation easy.”
“ELP Data is our go-to for technology installed base lists. The Google BigQuery contacts were current, properly segmented, and the free sample they provided before purchase accurately reflected the quality of the full list. Highly recommended.”
The Google BigQuery users email list powers multiple B2B marketing channels. Here is how sales and marketing teams put it to work.
Upload the Google BigQuery contact list directly into HubSpot, Mailchimp, Salesloft, or Outreach and run targeted email sequences. Segment by industry, company size, or job title to personalise messaging around the prospect's existing Google BigQuery environment. Decision-makers who already use Google BigQuery respond significantly better to messaging that acknowledges their tech stack and presents a clear integration or uplift story.
Each record in the Google BigQuery users list includes a verified direct dial phone number. Your sales development reps can call decision-makers — Data Engineer, Data Architect — at Google BigQuery companies without going through a switchboard. Filter by geography or company size to build territory-specific call lists for each SDR on your team. Direct dials dramatically increase connect rates compared to corporate main lines.
Upload the Google BigQuery email list as a custom audience on LinkedIn, Facebook, or Google to serve targeted ads directly to Google BigQuery decision-makers. LinkedIn Matched Audiences and Google Customer Match are particularly effective for enterprise tech audiences. Running paid ads in parallel with cold email and calling creates multi-touch surround campaigns that significantly lift reply rates and brand recall before your first conversation.
Use verified company addresses from the Google BigQuery users list to run direct mail campaigns — physical mailers, executive gift programmes, or personalised event invitations sent to decision-makers at Google BigQuery companies. In a world saturated with digital noise, a well-targeted piece of physical mail to a Google BigQuery VP or CTO stands out. Direct mail works especially well as part of an ABM programme targeting high-value enterprise accounts.
Use the Google BigQuery company list to build a Target Account List (TAL) for ABM programmes. Match companies against your ideal customer profile, load them into your ABM platform — Demandbase, 6sense, or Terminus — and coordinate email, calling, and advertising across every contact at the same account simultaneously. The Google BigQuery list provides all three channels in one file: direct email, direct dial, and LinkedIn profile URL for social matching.
The Google BigQuery email list is built for any B2B organisation that sells to, competes with, or partners with Google BigQuery user companies.
If your product integrates with, competes with, or complements Google BigQuery, the installed base is your primary addressable market. Every company in this list is a confirmed Google BigQuery user — a pre-qualified prospect who already understands the problem you solve.
Google BigQuery implementation firms, system integrators, and specialist consultants use this list to reach companies that are deploying, upgrading, or migrating from Google BigQuery. These are active projects with real budget attached.
B2B marketing agencies running campaigns for tech clients use the Google BigQuery users list to build targeted prospect pools for their clients. The list supports email campaigns, paid social audiences, programmatic advertising, and event invitation programmes.
Account executives at enterprise software companies use the Google BigQuery list to build territory prospect sets, identify expansion opportunities at existing accounts, and find net-new companies in their ICP that are confirmed Google BigQuery users.
Companies offering Google BigQuery training courses, certification programmes, and professional development use this list to reach the professionals and organisations that need to upskill their teams on the platform.
If you offer a product that replaces or upgrades Google BigQuery, the installed base is your highest-value cold outreach target. These companies have already validated the problem — the only question is whether your solution is a better fit.
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