Companies

Databricks

databricks.com

Databricks provides a unified lakehouse platform for enterprise data engineering, analytics, governance, and artificial intelligence.

HQSan Francisco, California, United States
Employees1000+
Funding$19.3B
Valuation$188B
Revenue$5.4B revenue run-rate
899 active roles
Profile 8mo agoJobs checked 3d ago
Specialization
Data Engineeringand 1 more specialization values
  • Distributed Computing
Business
Software Applications
Market
Cross Industry
Ecosystem
Not classified
Customers
Enterprisesand 1 more customers values
  • Developers
More details
Organization type
Commercial Company
Ecosystem
Not classified
Business
Software Applications
Specialization
Data Engineering, Distributed Computing
Market
Cross Industry
Customers
Enterprises, Developers
Delivery models
Hosted Software
Revenue models
Usage Based
Listing status
Not classified
Latest equity round
Not classified
Reported funding amount
$1B+

About

Databricks builds the Data Intelligence Platform, an open-lakehouse foundation that unifies data, governance, analytics, and AI. It sells to organizations ranging from large enterprises to Fortune 500 companies, differentiating itself through its unified architecture and origins in Apache Spark, Delta Lake, MLflow, and Unity Catalog.

Market

Databricks competes in the enterprise data, analytics, machine learning, and generative-AI platform market. It positions its open Lakehouse architecture as a unified foundation that combines data lakes and warehouses, while differentiating through integrated governance, cross-cloud data and AI asset management, open-source technologies such as Spark and Delta Lake, and built-in AI capabilities.

Target Customers

Large enterprises and data-intensive organizations across industries, particularly those seeking to unify data engineering, analytics, machine learning, governance, and generative AI. Primary buyers and users are likely CIOs/CDOs, data and analytics leaders, data engineers, ML teams, and governance stakeholders; Databricks reports more than 20,000 organizational customers and adoption by 70% of the Fortune 500.

At a Glance

Problem

Organizations often struggle with the complexity of turning data into governed analytics and useful AI. Data engineering, warehousing, machine learning, governance, and application development can become disconnected activities, making it harder for business users to access reliable information and for technical teams to scale AI securely. Databricks addresses this pain by simplifying and democratizing data and AI, reducing the friction and delay between raw data, insight, and production use.

The main use case is a governed, end-to-end data-to-AI workflow: prepare enterprise data, run analytics or real-time pipelines, build machine-learning or large-language models, and deploy the resulting intelligence in secure applications and products. The economic value is primarily operational—less platform complexity and faster movement from data to decisions, automation, and AI-enabled products—rather than a single narrowly defined application.

Product / Service

Databricks provides a cloud-delivered Data Intelligence Platform built on an open lakehouse architecture. It combines a unified foundation for data and governance with AI models tuned to an organization’s specific characteristics, and covers ETL, data warehousing, advanced analytics, machine learning, generative AI, MLOps, model serving, streaming, and data applications. The platform operates across major cloud environments, allowing organizations to use a common data and AI approach without maintaining entirely separate systems for each workload.

The benefit is an integrated workflow for both technical and nontechnical users. Automation and natural-language capabilities help people discover and use data, while engineering and data teams can build and deploy governed, secure data and AI applications. By bringing preparation, analysis, modeling, governance, and deployment together, Databricks aims to accelerate data and AI initiatives while preserving security and control.

Market

Databricks competes in the enterprise data and AI platform market, spanning lakehouse infrastructure, data engineering, cloud data warehousing, advanced analytics, machine learning, generative AI, and data applications. Its competitive set includes Snowflake, Google BigQuery, Amazon Redshift, Apache Spark, Dremio, and other open-source and cloud-native tools competing for overlapping data and AI workloads. Databricks’ positioning is the integration of an open lakehouse, governance, analytics, and AI development in one platform.

The company has substantial commercial traction and is not pre-revenue based on the evidence of broad customer adoption. Databricks reports that more than 20,000 organizations worldwide use its platform, including Block, Comcast, Condé Nast, Rivian, and Shell, and that 70% of the Fortune 500 rely on it. This indicates meaningful enterprise penetration, although the cited material emphasizes customer count and adoption rather than providing an audited revenue figure.

Founders & Leadership

Ali GhodsiFounder
CEO and Co-founder
Ion StoicaFounder
Executive Chairman and Co-founder
Matei ZahariaFounder
CTO and Co-founder
Patrick WendellFounder
SVP of Engineering and Co-founder
Reynold XinFounder
Co-founder and Databricks executive
Andy KonwinskiFounder
Co-founder
Arsalan Tavakoli-ShirajiFounder
SVP of Field Engineering and Co-founder
Ron GabriskoChief Revenue Officer
Amy ReichanadterChief People Officer
Hatim ShafiqueChief Operating Officer

Funding History

2013-09
Series A$14M

Andreessen Horowitz

2014-06
Series B$33.4M

New Enterprise Associates

2016-12
Series C$60M

New Enterprise Associates

2017-08
Series D$140M

Andreessen Horowitz

2019-02
Series E$250M

Andreessen Horowitz

2019-10
Series F$400M

Andreessen Horowitz

2021-02
Series G$1B

Franklin Templeton Investments

2021-08
Series H$1.6B

Morgan Stanley

2023-09
Series I$685M

T. Rowe Price

2024-11
Series J$10B

Nvidia, Capital One, Andreessen Horowitz, Fidelity Investments, Insight Partners, Tiger Global Management, Thrive Capital

2025-01
Conventional Debt$5.25B

Not disclosed

2025-09
Series K$1B

Andreessen Horowitz, Insight Partners, MGX, Thrive Capital, WCM Investment Management

2025-12
Series L$5B

Insight Partners, Fidelity Investments, J.P. Morgan

2026-01
Conventional Debt$2B

Not disclosed

2026-07
Strategic Funding Round$3B

Coatue Management

Recent News

2026-09-24partnership
Databricks signs naming-rights partnership with Cal Athletics

Databricks and Cal Athletics announced a multi-year partnership that names Cal’s football venue Databricks Field at California Memorial Stadium. The agreement also makes Databricks the official Enterprise Data + AI platform for Cal Athletics and includes other stadium and team branding rights.

2026-09-24partnership
Helix and Databricks launch clinicogenomic research environment

Helix and Databricks announced a partnership to launch Helix Research Workspaces, a trusted research environment for population-scale clinicogenomic research. The environment gives approved research partners governed access to compute, storage, and analysis tools for more than 550,000 clinicogenomic records.

2026-09-24ma
Databricks acquires Row Zero

Databricks announced it had acquired Row Zero, a spreadsheet built for people and AI agents to work with data. Databricks said the acquisition would add a spreadsheet interface for exploring, modeling, and collaborating on governed data in its Genie AI coworker.

2026-09-22partnership
Intelo.ai joins Databricks’ Built-on Partner Program

Intelo.ai announced it had been accepted into Databricks’ Built-on Partner Program. The designation follows a review of Intelo.ai’s product and architecture and recognizes its product’s use of the Databricks platform.

2026-09-22partnership
Databricks and Concurrence partner on healthcare AI

Concurrence announced a multi-year partnership with Databricks to bring its Health World Model and AI agents onto the Databricks Data + AI Platform. The companies said the combined offering helps healthcare organizations build longitudinal population records and develop AI applications using their own data.

2026-09-16partnership
Databricks partners with EDB and IMDA to support Singapore’s National AI Strategy

On September 16, Databricks announced AI initiatives with Singapore’s EDB and IMDA, including a goal to train 20,000 people in data and AI over three years. It also announced a Singapore Startup AI Accelerator, planned to launch in November and scale to support more than 100 startups over three years, working with local universities including NTU, NUS, and SMU.

2026-09-04product_launch
Databricks launches OpenAI GPT-6 Astra on Unity Gateway

Databricks made OpenAI GPT-6 Astra available through Unity Gateway on September 4, 2026. The model is positioned for enterprise reasoning, document processing, coding, agentic search, multimodal inputs, and long-context workloads.

2026-09-02product_launch
Databricks launches The Big Book of AgentOps

Databricks announced The Big Book of AgentOps on September 2, 2026. The guide provides practical guidance on architecture, evaluation, observability, governance, cost management, and deploying reliable AI agents at enterprise scale.

2026-09-02product_launch
Databricks adds Google Gemini 3.8 Flash as a hosted model

Databricks added Google Gemini 3.8 Flash as a Databricks-hosted model on September 2, 2026. Customers can access it through Databricks Foundation Model APIs.

2026-09-01product_launch
Databricks adds Anthropic Claude Fable 5.1 as a hosted model

Databricks added Anthropic Claude Fable 5.1 as a Databricks-hosted model on September 1, 2026. The model is available through Unity Gateway and Databricks Foundation Model APIs.

2026-09-01product_launch
Databricks launches Genie One web search beta

Databricks launched Genie One web search in beta on September 1, 2026. The feature allows Genie One to search the public web for current information and cite the external sources it uses.

2026-08-18product_launch
Databricks expands Lakebase to four additional Azure regions

Databricks made Lakebase available in four additional Azure regions: North Central US, France Central, Germany West Central, and East Asia. The expansion broadens the geographic availability of Databricks’ serverless Postgres offering on Azure.

2026-08-13funding
Databricks closes $5B strategic funding round at $190B valuation

Databricks closed a $5 billion strategic funding round at a $190 billion valuation. The round was led by Coatue alongside Blackstone, MGX, T. Rowe Price, and Sixth Street Growth, and the company said it had surpassed a $7 billion revenue run-rate while growing more than 80% year over year.

2026-08-11ma
Databricks acquires Electric

Databricks announced that Electric is joining the company to bring WASM Postgres to AI-agent sandboxes. A contemporaneous public announcement characterized the transaction as Databricks acquiring Electric; financial terms were not reported.

2026-08-06product_launch
Databricks makes Moonshot AI’s Kimi K3 available through Unity AI Gateway

Databricks announced that Kimi K3 from Moonshot AI is now available on its platform through Unity AI Gateway. The open-weight model is hosted initially in the United States and is offered with unified API access, governance, cost controls, guardrails, and observability.

2026-08-06product_launch
Databricks releases OfficeQA Pro V2 benchmark

Databricks released OfficeQA Pro V2, a benchmark for evaluating enterprise grounded reasoning over unfamiliar, enterprise-style data. The benchmark is based on roughly 1,400 U.S. Treasury PDFs spanning approximately 120,000 pages and was made publicly available for AI practitioners.

2026-07-23partnership
Databricks and Microsoft expand strategic partnership

Databricks and Microsoft announced an expansion of their decade-long strategic partnership on July 23, 2026, extending into the 2030s. The companies will deepen Azure Databricks integration, expand use of Databricks Genie and Unity AI Gateway across Microsoft products, and bring business-contextual AI capabilities into enterprise workflows.

2026-07-17product_launch
Databricks makes Meta’s Muse Spark 1.1 available through Unity AI Gateway

Databricks announced support for Meta’s Muse Spark 1.1 through Model Provider Services in Unity AI Gateway. The integration provides governed access, permissions, usage controls, and observability for the newly released model through Databricks.

Active Roles

899
London, United Kingdom/Operations/3d ago
Paris, France/Sales Engineer/3d ago
Munich, Germany/Sales/3d ago
Chicago, Illinois/Sales Engineer/3d ago
Paris, France/Sales Engineer/3d ago
Zürich, Switzerland/Solutions Engineer/3d ago
London, United Kingdom/Professional Services/3d ago
Mountain View, California; San Francisco, California; Seattle, Washington/Finance/3d ago
Mountain View, California; San Francisco, California; Seattle, Washington/Finance/3d ago
Mountain View, California; San Francisco, California; Seattle, Washington/Finance/3d ago
Amsterdam, Netherlands/Solutions Engineer/3d ago
Remote - Germany/Solutions Engineer/3d ago
Remote - Sweden/Solutions Engineer/3d ago
Remote - France/Solutions Engineer/3d ago
Costa Rica/Operations/4d ago
Paris, France/Sales/4d ago
Chicago, Illinois; Denver, Colorado; Mountain View, California; New York City, New York; San Francisco, California; Seattle, Washington; Washington, D.C./Legal/4d ago
Amsterdam, Netherlands/Forward-Deployed Engineer/4d ago
New York City, New York/Sales Engineer/4d ago

Business Model

Databricks primarily monetizes its cloud data and AI platform through consumption-based pricing built around Databricks Units (DBUs), with compute and storage priced separately. Customers pay for the processing and platform resources they consume rather than provisioning a fixed-capacity system.

Products

Databricks Data Intelligence Platform and LakehouseData engineering, ETL, and data warehousingUnity Catalog for data and AI governanceAI/ML and agent-development capabilitiesDatabricks Genie for natural-language analytics

Customers

NielsenHotels.comOverstockBechtelShellHP

Tech Stack

Apache SparkDelta LakeMLflowLakehouse architectureUnity CatalogGenerative AI and LLMs

Competitors

Snowflake
Microsoft Fabric
Google BigQuery
Amazon Web Services (AWS)

Key Investors

Barclays, JPMorgan Chase, Insight Partners