Databricks logo — Unified lakehouse platform powering enterprise data-AI conve...

Databricks

Unified lakehouse platform powering enterprise data-AI convergence

Founded 2013 United States San Francisco, United States 16564 employees Series A Total: $17.11B AI, Analytics +2

General Information

Company Name Databricks
Founded Year 2013
Location United States San Francisco, United States
Employees 16564
Industries AI, Analytics, Information Technology +1
Funding Stage Series A
Business Model B2B, SaaS, Platform
Revenue Model Usage Based, Subscription, Marketplace Fee
Offices as of Jul 2026
San Francisco, United States London, United Kingdom Amsterdam, The Netherlands New York, United States Toronto, Canada Singapore, Singapore Seattle, United States Mountain View, United States Mclean, United States Plano, United States Bellevue, United States Boston, United States

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Recorded by Bounce Watch from public sources. Every entry below carries the date we observed it, and when we have not looked recently the page says so rather than leaving silence to imply nothing happened.

Event Participation Oct 11, 2026

Databricks is organizing a DataAIWorldTour 2026 stop in Madrid on October 14, 2026.

Feature Release Oct 09, 2026

Databricks has launched a new reference implementation that pairs Temporal with Lakebase Postgres, allowing recorded work to survive worker replacement and maintain queryable state.

Product Launch Oct 02, 2026

Databricks has launched Omnigent, a new open-source meta-harness designed to allow multiple coding agents to share sessions, rules, and security policies in one system.

Recently Funded Sep 24, 2026

Raised 10M in Series A round.

About Databricks

Databricks is a Data and AI company headquartered in San Francisco, United States. It provides a unified platform for data, analytics, and AI to more than 20,000 organizations worldwide, including over 60% of the Fortune 500, across industries like healthcare, financial services, retail, and telecommunications.

Founded in 2013, Databricks offers services like Lakehouse Architecture, AI and ML application deployment, and data management to app developers, executives, and startups. The company operates on a B2B, SaaS, and platform business model, generating revenue through usage-based fees, subscriptions, and a marketplace fee structure.

Business keywords: Unified Lakehouse Platform, Data-AI Convergence, Data Intelligence Platform, Data Engineering, Apache Spark, Delta Lake, MLflow, Data Lakehouse, Generative AI, AI/ML Ops, Data Warehousing

Services & Products

Unified Platform for Data, Analytics, and AI
Lakehouse Architecture
AI and ML Application Deployment
Data Management and Governance
ETL and Data Orchestration
Custom Industry Solutions

Target Customers

App Developers Executives Startups Healthcare & Life Sciences Financial Services Retail Manufacturing Telecommunications Public Sector

Funding Rounds & Investors (15)

View All
Funding Stage Amount Investors Lead Investors Date
Series A 10.00M 7
K9 Ventures, Ludlow Ventures +5
24 Sep 2026
Venture round $5.00B 5
Coatue, T. Rowe Price +3
13 Aug 2026
Late VC $1.80B 1
JP Morgan
01 Jan 2026
Late VC $1.00B 2
Insight Partners, Thrive Capital
01 Aug 2025
Growth Equity VC $5.30B 7
Barclays, Goldman Sachs +5
01 Jan 2025
Growth Equity VC $500.00M 16
GIC, Nvidia +14
01 Sep 2023
Series H $1.60B 15
CPP Investments, GIC +13
01 Aug 2021
Series G $1.00B 5
CPP Investments, Salesforce Ventures +3
01 Feb 2021
Series F $400.00M 11
BlackRock, T. Rowe Price +9
01 Oct 2019
Series E $250.00M 6
Founders Fund, Founders Future +4
01 Feb 2019

View All 15 Funding Rounds

Databricks Alternatives & Competitors

View All Alternatives
Databricks vs
IOMETE
IOMETE United States

The Self-Hosted Data Lakehouse Platform

Seed
27 employees
Analytics, Big Data
Databricks vs
Adastra
Adastra Canada

Data connects everything.

Grant
1710 employees
AI, Analytics
Databricks vs
Starburst
Starburst United States

Starburst is the data platform for analytics, apps & AI—unifying data to accelerate innovation acros...

539 employees
Analytics, Big Data

FAQ About Databricks

Unified lakehouse platform powering enterprise data-AI convergence
Databricks was founded in 2013.
Databricks is headquartered in San Francisco, United States. As of Jul 2026, it also has offices in London, United Kingdom, Amsterdam, The Netherlands, New York, United States, Toronto, Canada and Singapore, Singapore.
Databricks operates in AI, Analytics, Information Technology and Machine Learning. Its work centres on Unified Lakehouse Platform, Data-AI Convergence, Data Intelligence Platform and Data Engineering. Its customers include App Developers, Executives and Startups.
Databricks has a B2B, SaaS and Platform business model. Its revenue comes from Usage Based, Subscription and Marketplace Fee.
Databricks has approximately 16564 employees.
Databricks has completed 15 funding rounds, raising a total of $17.11B. The latest funding stage is Series A.
Databricks offers: Unified Platform for Data, Analytics, and AI, Lakehouse Architecture, AI and ML Application Deployment, Data Management and Governance, ETL and Data Orchestration, Custom Industry Solutions.
Top alternatives and competitors to Databricks include IOMETE, Adastra, Starburst, Big Industries, Cohere. These companies operate in related industries and serve comparable markets. You can compare them side by side on Bounce Watch.
Databricks and IOMETE are both companies in similar industries. Compare their funding, team size, growth signals, and market position on Bounce Watch to see which one fits your needs.

Source: BounceWatch company record for Databricks, https://bouncewatch.com/company/databricks, updated 29 September 2026. When citing, please name BounceWatch and link this page.

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