About
Databricks is the dominant unified data + AI platform, valued at $134B after $4B Series L (Dec 2025). Hit $4.8B revenue run-rate growing 55%+ YoY. 20,000+ customers including Mastercard, AT&T, and 60%+ of Fortune 500; 700+ customers above $1M ARR. Databricks SQL hit $600M run-rate (+150% YoY). Free cash flow positive with 140%+ net retention. IPO possible 2026.
Key Facts
- [1]Founded: Founded in 2013 in San Francisco, United States.
- [2]Funding: Total funding: $14.0B. Last round: Dec 2025. Stage: Late Stage.
- [3]Valuation: Valued at $134.0B.
- [4]Customers: Key customers include Block, Comcast, Condé Nast, Rivian, Shell, Mastercard, AT&T.
- [5]Employees: Employee count: 5,000+.
- [6]Revenue: Annual revenue/ARR: approximately $4.8B.
- [7]Website: Official website: databricks.com.
- [8]AI Technology: Core AI/ML technologies: Data Platform, LLM / NLP.
- [9]Region: Region: Americas (United States).
Founders
Ali Ghodsi
Co-founder & CEO
Ion Stoica
Co-founder
Matei Zaharia
Co-founder
Andy Konwinski
Co-founder
Reynold Xin
Co-founder
Patrick Wendell
Co-founder
Arsalan Tavakoli-Shiraji
Co-founder
Key Customers & Partners
AI Technology
Data Platform
Data aggregation and enrichment platforms with minimal ML
LLM / NLP
Large language models for NLP, chat, document understanding, and text generation
Classification
Tech Stack Layers
Details
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Frequently Asked Questions
What is Databricks?
Databricks is the dominant unified data + AI platform, valued at $134B after $4B Series L (Dec 2025). Hit $4.8B revenue run-rate growing 55%+ YoY. 20,000+ customers including Mastercard, AT&T, and 60%+ of Fortune 500; 700+ customers above $1M ARR. Databricks SQL hit $600M run-rate (+150% YoY). Free cash flow positive with 140%+ net retention. IPO possible 2026. Databricks is classified in the Research & Data segment at the Infrastructure layer of the financial AI stack.
Who founded Databricks?
Databricks was founded by Ali Ghodsi (Co-founder & CEO), Ion Stoica (Co-founder), Matei Zaharia (Co-founder), Andy Konwinski (Co-founder), Reynold Xin (Co-founder), Patrick Wendell (Co-founder), and Arsalan Tavakoli-Shiraji (Co-founder) in 2013 in San Francisco, United States. The company has been operating for 13 years.
How much funding has Databricks raised?
Databricks has raised $14.0B in total funding, placing the company at the Late Stage stage. The most recent round closed in Dec 2025. The company is valued at approximately $134.0B. Databricks generates approximately $4.8B in annual revenue. This makes Databricks one of the top 3 most-funded companies in the Research & Data segment. (Source: AIFI Map directory.)
What AI technology does Databricks use?
Databricks combines multiple AI technologies: Data Platform, LLM / NLP. Data Platform provides data aggregation and enrichment platforms with minimal ML. LLM / NLP provides large language models for NLP, chat, document understanding, and text generation.
What market segment does Databricks operate in?
Databricks operates in the Research & Data and Trading & Markets and Risk & Compliance and Lending & Credit and Insurance market segments. AI research and data companies provide the intelligence layer of the financial ecosystem — processing vast quantities of structured and unstructured data into actionable insights for investors, analysts, and financial institutions. The company also has a footprint in trading & markets and risk & compliance and lending & credit and insurance, reflecting its cross-functional approach to financial AI.
Where is Databricks headquartered?
Databricks is headquartered in San Francisco, United States. The company operates in the Americas region. The team consists of 5,000+ employees. United States is home to 324 financial AI companies tracked by AIFI Map.
Who are Databricks's competitors?
Companies similar to Databricks in the Research & Data space include Stripe ($9.8B raised), Natural ($10M raised), Catena Labs ($18M raised), Tegus ($112M raised), AlphaSense ($1.6B raised). These companies operate in related areas of financial AI: Stripe focuses on ai-powered payments platform with fraud detection. Natural focuses on payments infrastructure for ai agent transactions. Catena Labs focuses on building payment rails for ai agents. (Based on AIFI Map classification data.)
What products does Databricks offer?
Databricks builds infrastructure-layer solutions for the financial services industry. The company's core offering: Unified data and AI platform. The platform is powered by Data Platform, LLM / NLP technology. Notable users include Block, Comcast, Condé Nast, Rivian.