Databricks Customers List

Reach Data and AI Leaders with a Verified Databricks Customers List and Databricks Users Email List from BizzContacts.

Reviewed by BizzContacts EditorialLast reviewed 2026-06-14

Want to start a data engineering or AI conversation with companies running Databricks? BizzContacts builds a clean, verified Databricks Customers List so you can talk to the Chief Data Officer, VP Data Engineering, and Head of AI buyers who own the Databricks lakehouse and Mosaic AI across the USA, UK, Canada, Europe, Australia, and APAC.

Use our Databricks Users Email List for focused outbound email, ABM campaigns, and direct dialing into data and AI leadership. Every record is hand-verified, so your reps reach real inboxes instead of bouncing on stale data.

Request a free Databricks sample

15,200+
Verified Databricks records
97.6%
Email deliverability
Weekly
Data refresh cycle
30-day
Free replacement window
15,200+
Verified Databricks records
97.6%
Email deliverability
Weekly
Data refresh cycle
30-day
Free replacement window
TL;DR

Key Takeaways

  • Databricks runs at more than 10,000 customer accounts worldwide with strong density across the Fortune 500.
  • Databricks is strongest in financial services, healthcare and life sciences, retail, manufacturing, tech, and energy.
  • Databricks was last valued at $62B in late 2024, making it one of the most strategic private companies in data infrastructure.
  • BizzContacts maintains 15,200+ verified Databricks records with 97.6% inbox deliverability.
By the numbers

Databricks Customers by the Numbers

Quick stats you can quote in any outbound campaign.

10,000+
Databricks customer accounts worldwide
Source: Databricks disclosures
$62B
Most recent valuation, late 2024
Source: Databricks Series J round
80+
Countries with paid Databricks accounts
Source: Databricks global reach
15,200+
Verified records in our Databricks file
Source: BizzContacts Q2 2026 audit
97.6%
Inbox deliverability rate
Source: Third-party audit, 2026
30 days
Decision-maker revalidation window
Source: BizzContacts policy
What is it

How Many Companies Use Databricks Today?

Databricks is the data and AI platform built around the lakehouse architecture, which combines the openness of data lakes with the performance of data warehouses on a single platform. Founded by the creators of Apache Spark, the platform now powers data engineering, analytics, machine learning, and generative AI workloads at most modern data-led enterprises.

Databricks reports more than 10,000 customers worldwide, with strong density across the Fortune 500. The company was last valued at $62B in late 2024 and is widely considered one of the most strategic private companies in the data infrastructure category.

DBXYuliana MarchettiVP of Data Engineering and AI PlatformCrescent Bay Insurance Group · San Diego, CAFNFULL NAMEYuliana MarchettiTTITLEVP of Data Engineering and AI PlatformCCOMPANYCrescent Bay Insurance GroupIINDUSTRYProperty and Casualty InsuranceDPDATABRICKS PRODUCTS LIVELakehouse on AWS, Unity Catalog, Databri...CUCOMPUTE UNITS (DBUS)1.2M DBUs / monthEEMPLOYEES9,800BEBUSINESS EMAILy*l*a*a.m*r*h*t*i*@c*e*c*n*b*y*n*.c*m
02Definition

Why Buy a Databricks Customers List?

Databricks customers are actively evaluating adjacent data engineering, governance, ML platform, and AI tools every quarter, from modern ETL and reverse ETL to data observability, semantic layers, AI gateway and feature stores, vector databases, and AI agent platforms. Reaching them with a targeted pitch beats generic CTO outreach.

Our Databricks Customers List narrows the field. You get a list of real Databricks accounts with named data and AI decision-makers, ready to drop into your campaigns the same day you receive it.

03Adoption

Which Companies Run Databricks?

Databricks runs across financial services, healthcare and life sciences, retail and e-commerce, manufacturing, automotive, media, technology, energy, and federal government. The customer base spans growing data-led startups all the way up to global enterprises running hundreds of clusters and petabytes of data on the lakehouse.

Here is a quick sample of well-known companies that run Databricks today.

04Top customers

Examples of Companies Using Databricks

A snapshot of Databricks accounts, drawn from public case studies and Data + AI Summit disclosures.

CompanyIndustryHeadquartersEmployee RangeRevenue Range
ConocoPhillipsOil and Gas ExplorationHouston, TX, USA10,000$58.5B
Rivian AutomotiveElectric VehiclesIrvine, CA, USA16,000$5.0B
AT&TTelecommunicationsDallas, TX, USA150,000$122.4B
Comcast CorporationTelecom and MediaPhiladelphia, PA, USA186,000$121.6B
MastercardPayments and Financial ServicesPurchase, NY, USA33,000$25.1B
Block, Inc.FinTech and PaymentsOakland, CA, USA12,000$24.1B
Regeneron PharmaceuticalsBiotechnologyTarrytown, NY, USA13,000$13.1B
ABN AMRO BankBankingAmsterdam, Netherlands20,000$10B est
Crescent Bay Insurance GroupProperty and Casualty InsuranceSan Diego, CA, USA9,800$2.4B est
Toyota Motor Corporation (data engineering segments)AutomotiveToyota City, Japan375,000$310B est

See if your top Databricks accounts are in the database.

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05Adoption

Databricks Customers by Industry

Databricks runs hottest in industries with massive data volume and active AI and ML investment.

IndustryEstimated Adoption LevelCommon Use Cases
Financial Services and BankingVery heavyFraud detection, customer 360, risk modelling, trade surveillance
Healthcare and Life SciencesVery heavyClinical research, drug discovery, claims analytics, payer modelling
Retail and E-CommerceVery heavyDemand forecasting, personalisation, recommendation systems, supply chain ML
Manufacturing and AutomotiveHeavyPredictive maintenance, quality control, connected vehicle data, autonomous driving ML
Technology and SaaSHeavyProduct analytics, customer insights, marketing attribution, ML platform
Energy and UtilitiesHeavyReservoir analytics, grid optimisation, seismic data, predictive operations

Financial services is the densest single vertical for Databricks, driven by fraud detection and customer 360 use cases.

Healthcare and life sciences carries the heaviest concentration of Mosaic AI and MLflow deployments for drug discovery workloads.

06Geo coverage

Databricks Customers by Country

Databricks is sold in more than 80 countries through the major cloud providers. Most paying accounts cluster into the markets below.

CountryMarket PresenceCommon Industries
United StatesLargest marketFinance, healthcare, retail, manufacturing, tech, energy
United KingdomStrongFinance, retail, telecom, public sector
GermanyStrongAutomotive, manufacturing, banking, scale-ups
CanadaStrongBanking, energy, telecom, retail
AustraliaStrongBanking, mining, telecom, retail
Japan and South KoreaGrowingManufacturing, automotive, gaming, finance

The United States accounts for roughly five in ten paying Databricks customers, driven by Fortune 500 data and AI investment.

European banking and manufacturing customers form the second-largest concentration of Databricks deployments.

07US footprint

Top US States for Databricks Customers

Inside the USA, Databricks accounts concentrate in data-intensive industries and major tech hubs.

StateAdoption TrendKey Industries
CaliforniaBay Area tech, LA media and retail, San Diego biotech and insuranceTech, biotech, retail, insurance
New YorkNYC finance, fintech, retail HQs, biotechFinance, fintech, biotech
TexasDallas finance and telecom, Houston energy, Austin techEnergy, finance, tech
MassachusettsBoston biotech, Cambridge research, healthcare dataBiotech, healthcare, EdTech
IllinoisChicago finance, insurance, healthcare, manufacturingFinance, insurance, manufacturing
WashingtonSeattle cloud, Bellevue retail tech, Amazon adjacentCloud, retail tech, e-commerce

California carries the broadest Databricks footprint across tech, biotech, retail, and insurance.

Texas anchors a strong energy and telecom Databricks cluster including ConocoPhillips and AT&T.

08Segmentation

Databricks Customers by Company Size

You can customize the Databricks Customers List by company size to match the buyer profile you want to reach.

Company SizeTypical Adoption Level
250 to 999 employeesDatabricks Premium tier
1,000 to 4,999 employeesDatabricks Premium or Enterprise
5,000 to 19,999 employeesDatabricks Enterprise
20,000+ employeesStrategic Databricks enterprise footprint

Enterprise accounts (5,000 to 19,999 employees) are the densest target band for adjacent reverse ETL, semantic layer, data observability, AI gateway, vector database, and AI agent platform vendor pitches.

09Buyer titles

Key Decision-Makers on the Databricks Customers List

Databricks buying authority sits with data executives, data engineering leaders, and AI and ML platform owners.

Job TitleDepartmentBuying Influence
Chief Data Officer (CDO)Data ExecutiveTop-of-house owner of data strategy and Databricks platform decisions
Chief Data and AI Officer (CDAO)Data and AI ExecutiveOwns the data and AI roadmap at large enterprise
VP of Data EngineeringData Engineering LeadershipOwns lakehouse architecture, Unity Catalog, and Delta Lake pipelines
Head of AI or VP of AI/MLAI and ML LeadershipOwns Mosaic AI, MLflow, and generative AI initiatives
Director of Data PlatformData PlatformDay-to-day owner of Databricks compute, SQL warehouses, and governance
Director of Analytics EngineeringAnalytics EngineeringOwns dbt-style transformations on Databricks SQL
Director of MLOps or Director of ML PlatformMLOpsOwns MLflow, model serving, and AI inference workflows
Director of Data ScienceData ScienceChampions Databricks Notebooks, Mosaic AI Studio, and DBRX usage

Most Databricks conversations route through the VP Data Engineering, Director of Data Platform, and Head of AI/ML. The CDO or CDAO signs strategic enterprise renewals. The Director of MLOps owns model serving and AI gateway decisions.

Reach these Databricks decision-makers this week.

Verified Databricks customer contacts with named CIO, ERP Manager, CFO, and procurement titles. 97.4% inbox deliverability.

10Tech stack

Tools That Pair With Databricks

Databricks sits in the middle of a predictable modern data stack you can pair your pitch with.

TechnologyCategoryIntegration Purpose
SnowflakeDirect competitorOften deployed alongside Databricks for warehouse-style analytics
AWS S3, Azure Data Lake Storage, Google Cloud StorageObject storagePrimary storage backend for Databricks lakehouse
dbt, Coalesce, SQLMeshTransformation toolsBuild modelling layers on top of Databricks SQL
Fivetran, Airbyte, Matillion, StitchData ingestionMove data into Databricks Lakehouse
Tableau, Power BI, Looker, ThoughtSpotBI front endsConsume Databricks SQL warehouses for dashboards
Hugging Face, OpenAI, Anthropic, Pinecone, WeaviateAI and vector ecosystemIntegrate with Mosaic AI for generative AI workloads
Compared

Databricks Vs Snowflake Vs BigQuery Vs Microsoft Fabric Vs Cloudera

A quick look at how Databricks compares with the platforms it competes with most often.

PlatformGlobal Install BaseStrongest IndustriesLargest GeoBizzContacts Coverage
Databricks10,000+ customers; strong Fortune 500 densityFinance, healthcare, retail, manufacturing, tech, energyGlobal; 80+ countries15,200+ records
Snowflake10,000+ customersFinance, retail, healthcare, techGlobalReachable via Snowflake install base
Google BigQueryGoogle Cloud-anchored enterprisesTech, e-commerce, marketing analyticsGlobalReachable via Google Cloud install base
Microsoft FabricMicrosoft-anchored enterprisesMicrosoft 365 enterprises across verticalsGlobalReachable via Microsoft 365 install base
ClouderaLegacy Hadoop ecosystem enterprisesFederal, telecom, bankingGlobalReachable via Cloudera install base

Databricks wins on lakehouse architecture, open formats (Delta, Iceberg), and Mosaic AI. Snowflake wins on data warehouse polish and Snowpark. BigQuery wins on serverless plus Google ecosystem. Microsoft Fabric wins on Microsoft 365 bundling. Cloudera wins on legacy Hadoop refresh deals.

11Benefits

Features of the BizzContacts Databricks Customers List

Hand-verified records

Every contact passes a manual research review before we ship the file.

Filter by Databricks product mix

Pick Unity Catalog, Databricks SQL, MLflow, Mosaic AI, Genie, or DBRX customers.

DBU consumption band where available

Records carry estimated DBU consumption bands to help size your deal opportunity.

97.6% email deliverability

Independently audited inbox performance across recent campaigns.

Weekly refresh cycle

We re-check titles, emails, and Databricks signals every week.

Free replacement guarantee

Any record that bounces or changes job is swapped for free within 30 days.

Privacy-law compliant

Aligned with GDPR, CCPA, and CAN-SPAM. Phones screened against DNC lists.

Easy file formats

Delivered as CSV, XLSX, or pushed straight into your CRM.

Who buys this list

Who Should Use the Databricks Customers List?

The Databricks Customers List works best for vendors and service providers selling into data-and-AI-led organisations. Common buyers of the list include the categories below.

01

Reverse-ETL and operational analytics vendors

Sell Hightouch, Census, RudderStack, Polytomic into Databricks accounts pushing AI and analytics back into operational systems.

Use case: Reverse-ETL, operational analytics, data activation, ML-powered RevOps

02

Data observability and quality vendors

Pitch Monte Carlo, Bigeye, Acceldata, Anomalo, Soda, Sifflet into Databricks shops monitoring lakehouse pipelines.

Use case: Data observability, freshness monitoring, anomaly detection, Delta Lake lineage

03

Semantic layer and metric store vendors

Sell Cube, MetricFlow, AtScale, dbt Semantic Layer into Databricks SQL accounts modernising metric definitions.

Use case: Semantic layer, headless BI, metric governance, AI-ready models

04

AI gateway and inference platform vendors

Pitch Portkey, Kong AI Gateway, Vellum, OpenRouter, LiteLLM into Mosaic AI customers managing multi-model inference.

Use case: AI gateway, model routing, cost controls, observability for LLM inference

05

Vector database and embedding vendors

Sell Pinecone, Weaviate, Qdrant, Chroma, Milvus into Databricks accounts building RAG applications.

Use case: Vector search, embedding storage, RAG pipelines, hybrid search

06

AI agent and orchestration platforms

Pitch LangChain, LlamaIndex, Vellum, Sema4, Crew AI into Databricks accounts deploying generative AI agents.

Use case: Agentic AI workflows, multi-step LLM orchestration, agent evaluation, prompt management

If your product or service touches reverse-ETL, data observability, semantic layers, AI gateways, vector databases, or AI agent platforms for a Databricks-running organisation, the BizzContacts Databricks Customers List is the most direct path to the data or AI leader who actually signs.

12Buyer use cases

Why Marketers Buy Our Databricks Users Email List

Reach data and AI leadership

We deliver named Chief Data Officer, VP Data Engineering, and Head of AI/ML contacts.

Databricks-specific segments

Cut the list by lakehouse only versus lakehouse plus Mosaic AI, by Mosaic AI live versus pilot, or by cloud provider (AWS, Azure, GCP).

Country and state targeting

Pick the regions you want, from full USA down to a single state or metro.

Multi-channel data

Each record includes email, phone, and LinkedIn so you can mix outreach channels.

Stronger reply rates

Data-and-AI-specific targeting beats generic CTO blasts every time.

13Data dictionary

Customize Your Databricks Users Email List With Rich Data Fields

Pick the fields you want on your Databricks Users Email List. The standard data fields shipped with the Databricks Customers List are below.

Data FieldDescription
Contact full nameFirst and last name of the data or AI decision-maker
Job titleCurrent verified job title
Business emailMulti-step verified email address
Direct phone numberDirect dial where available
LinkedIn profile URLProfile link for ABM and social touches
Company nameOfficial company name
Company websitePrimary company domain
Company addressHQ city, state, country, postal code
Employee countCurrent company headcount
Annual revenueReported or estimated annual revenue
Industry classificationStandard industry plus sub-industry tag
SIC codeStandard Industrial Classification
NAICS codeNorth American Industry Classification
Databricks product mixLakehouse, Unity Catalog, SQL, MLflow, Mosaic AI, Genie, Delta Sharing, DBRX flags
Cloud providerAWS, Azure, or Google Cloud where derivable
DBU consumption bandEstimated monthly DBU consumption range where derivable
14Trust signals

Why Choose BizzContacts

Accuracy you can trust

Records pass both automated checks and a human research review.

Databricks-specific tagging

Product mix, cloud provider, DBU consumption band, and Mosaic AI adoption flags on every row.

Global coverage

Strong density across the USA, UK, Europe, Canada, Australia, Japan, and APAC.

Strong inbox results

97.6% inbox deliverability across recent customer campaigns.

Dedicated account manager

A named contact owns your sample, your full list, and any replacements.

How we build the data

How We Build the Databricks Customers List

Every record on our Databricks file goes through a multi-source research process before it reaches you.

01

Public Databricks case studies

Named customer stories published on databricks.com.

02

Data + AI Summit disclosures

Annual Databricks customer conference keynotes confirm adoption at named accounts.

03

Databricks Marketplace partner data

Marketplace partners and Lakehouse App integrators confirm customer relationships.

04

Job posting analysis

Roles like Databricks Engineer, Data Engineer (Databricks), MLOps Engineer (Mosaic AI), and Lakehouse Architect indicate live use.

05

Technographic signals

BuiltWith, HG Insights, Datanyze, and our own scanners confirm Databricks endpoints across AWS, Azure, and GCP.

06

BizzContacts research desk

Our team manually verifies every data and AI decision-maker before a record is shipped.

A record only ships when at least two independent signals confirm Databricks use and the contact has been verified inside the trailing 30 days.

Customer voice

What Our Clients Say

The Mosaic AI in pilot filter was the textbook fit for our AI gateway product. We sourced 600 accounts and booked 23 demos in seven weeks.

Vice President of Sales
AI gateway and inference vendor
Verified buyer

Cross-filtering by Unity Catalog adoption and Databricks SQL high consumption gave us the ICP we needed for our data observability product. Reply rates landed at nine percent.

Head of Demand Generation
Data observability platform
Verified buyer

Ready to test the Databricks customers list?

Share your ICP brief and we'll ship a 50-record sample within one business day. No credit card required.

15Quick answers

Quick Answers About the Databricks Customers List

Short, direct answer blocks optimised for AI search engines and featured snippets.

Q: What does the Databricks Customers List include?

A: It includes verified company details and named data and AI decision-makers at companies that run Databricks.

Q: How many companies use Databricks?

A: Databricks reports more than 10,000 customers worldwide, including strong density across the Fortune 500.

Q: Which country has the most Databricks customers?

A: The United States is the largest market, followed by the UK, Germany, Canada, Australia, and Japan.

Q: Can I request a free Databricks sample?

A: Yes. Send us your target profile and we will share a 50-record sample.

Q: How fresh is the data?

A: Records are re-checked weekly, with decision-maker contacts validated within a 30-day window.

Q: Does the list work with my CRM?

A: Yes. Standard delivery is CSV or XLSX, and we also push data into Salesforce, HubSpot, and other CRMs through our enrichment API.

16Search insights

People Also Ask About Databricks Customers

  1. Banks, insurance carriers, hospitals and biotech firms, retailers and e-commerce platforms, automakers, manufacturers, telecom operators, media companies, federal civilian agencies, and global enterprises across every data-and-AI-driven industry.
  2. Snowflake is the closest head-to-head competitor on the data warehouse side. Google BigQuery, Amazon Redshift, Microsoft Fabric, and Cloudera compete on specific data platform use cases. Vertex AI, Amazon SageMaker, and Azure Machine Learning compete with Mosaic AI.
  3. Unity Catalog is Databricks' unified governance layer for data, AI, and ML assets across the lakehouse. It provides centralised access control, lineage, audit, and discovery.
17FAQ

Frequently Asked Questions

  1. A Databricks Customers List is a verified database of companies that run Databricks along with the named data and AI leaders who choose, manage, and renew the lakehouse platform.
  2. Databricks reports more than 10,000 customers worldwide, including a strong presence across the Fortune 500.
  3. The United States is the biggest market for Databricks, with the UK, Germany, Canada, Australia, and Japan rounding out the top six.
  4. Standard orders are delivered inside two business days. Custom segments may take one extra day for shaping.
  5. We replace any record that bounces, has a job change, or is mistagged inside a 30-day window at no extra cost.
  6. We deliver the Databricks Customers List as CSV or XLSX. We can also push records directly into Salesforce, HubSpot, and other CRMs through our enrichment API.
  7. We re-check the list every week, and every decision-maker contact is re-validated inside a rolling 30-day window.
18Explore more

Related Customer Lists

More install-base and decision-maker lists that pair well with the Databricks file.

Snowflake Customers List
Often deployed alongside or as an alternative to Databricks
AWS Customers List
AWS-hosted Databricks lakehouses
Microsoft Azure Customers List
Azure-hosted Databricks deployments
Tableau Customers List
BI front end on Databricks SQL
Salesforce Customers List
CRM data source for Databricks pipelines
CIO Email List
Top IT leaders at Databricks-running enterprises

Ready to Launch Your Databricks Outreach Campaign?

Share your target data or AI profile, preferred Databricks product mix, and target buyer titles. We will deliver a free 50-record sample of the Databricks Customers List and Databricks Users Email List within one business day.

See Pricing