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Databricks Inc.

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1,369 reviews
  • 1 profiles
  • 16 categories
Average star rating
4.6
#1 in 26 categories
Grid® leader
Serving customers since
2013
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Databricks Inc. Reviews

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Profile Name
Star Rating
1083
269
13
1
3
JD
Juan D.
09/03/2026
Validated Reviewer
Review source: Seller invite
Incentivized Review

Keeps Reporting Organized and Easy to Track in One Place

I like being able to search and track reports without having to open a bunch of tabs or huge files. With Databricks, I can keep everything in one place, and I really appreciate that.
RC
Richard C.
09/02/2026
Validated Reviewer
Review source: Seller invite
Incentivized Review

Impressive ML Implementation and Fast Complex Query Performance

I like how the machine learning model is implemented, and I’m impressed by the processing speed when running complex queries on massive datasets.
Raheel S.
RS
Raheel S.
09/02/2026
Validated Reviewer
Review source: Seller invite
Incentivized Review

Scalable Data Processing with an Intuitive Interface

I like the data processing and the intuitive interface, and I especially appreciate the scalability. It lets me manage both small and large projects without affecting performance, which is something not all platforms can do.

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HQ Location:
San Francisco, CA

Social

@databricks

What is Databricks Inc.?

Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics, and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. Founded in 2013 by the original creators of Apache Spark™, Delta Lake, MLflow and Unity Catalog, Databricks is built on an open lakehouse architecture that brings data, analytics and AI together. The platform is used by data engineers, data scientists, analysts, developers, machine learning teams, AI teams and business users to collaborate across the full data and AI lifecycle.

Details

Year Founded
2013
Website
databricks.com