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Databricks

Corporate · San Francisco, US · databricks.com ↗

Data and AI platform; bought Neon for $1B in 2025.

15,494 employeesLinkedIn ↗866-330-0121

Investing activity

Databricks appears in 6 AI deals tracked by the AI Lounge deals desk, rounds totalling $1.11B, and led 4 of them. The rounds are mostly Seed, with a median round size of $100M. The most recent are Responsive (Acquisition, Undisclosed, Oct 2026), Row Zero (Acquisition, Undisclosed, Sep 2026) and Electric (Acquisition, Undisclosed, Aug 2026).

Databricks most often invests alongside Cambridge Innovation Capital, LocalGlobe, Spotify and Amazon, and the companies it backs on AI Lounge are mostly in AI infrastructure databases, AI data analysis and spreadsheets and Developer data infrastructure.

Deals

6
AI rounds and acquisitions Databricks took part in, newest first.
Responsive logo
ResponsiveAcquisitionOct 9
Databricks (acquirer) · AI infrastructure databases
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Row Zero logo
Row ZeroAcquisitionSep 24
Databricks (acquirer) · AI data analysis and spreadsheets
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Electric logo
ElectricAcquisitionAug 12
Databricks (acquirer) · Developer data infrastructure
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Neon logo
Neondetails →AcquisitionMay 14
Databricks (acquirer) · Serverless Postgres
$1B

Frequently asked questions about Databricks

What AI companies has Databricks invested in?

Databricks's AI investments include Trent AI and RadixArk. The 6 rounds on AI Lounge are listed on this page with amounts, dates and co-investors.

Where is Databricks based?

Databricks is based in San Francisco, US.

What stage does Databricks invest at?

In the rounds tracked on AI Lounge, Databricks has invested at Seed, with a median round of $100M. Databricks led 4 of those rounds.

Who does Databricks co-invest with?

Databricks's most frequent co-investors on AI Lounge are Cambridge Innovation Capital (1 deal), LocalGlobe (1 deal), Spotify (1 deal), Amazon (1 deal) and Spark Capital (1 deal).

How can founders reach Databricks?

Founders on AI Lounge can see Databricks's contact details in AI Investor Contacts (paid plans), check for a warm introduction through members who worked with the firm under Warm Paths, and add Databricks to their Investor Pipeline to track the conversation.

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