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Databricks Inc.

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1,335 reviews
  • 1 profiles
  • 13 categories
Average star rating
4.6
#1 in 16 categories
Grid® leader
Serving customers since
2013
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Databricks Inc. Reviews

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3
Abel S.
AS
Abel S.
Data Engineer @Trenser | Python | Power BI | SQL
06/20/2026
Validated Reviewer
Review source: Organic
Incentivized Review

Fantastic Usability with Minor Versioning Challenges

I like Databricks for its usability and AI features. Handling large data is much easier without worrying about the infrastructure and scaling. The query generator is my latest favorite feature, and transitioning to Databricks was an easy process for our team.
Alessandro G.
AG
Alessandro G.
06/18/2026
Validated Reviewer
Review source: G2 invite on behalf of seller
Incentivized Review

A Unified Vision of Data

Unified vision of data, strong data governance
Verified User in Computer Software
CC
Verified User in Computer Software
06/18/2026
Validated Reviewer
Review source: G2 invite on behalf of seller
Incentivized Review

Easy to Use, Innovative, and Always Improving

Ease of usage and the innovation they bring.

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HQ Location:
San Francisco, CA

Social

@databricks

What is Databricks Inc.?

Databricks is a unified data and AI platform that helps organizations build, govern and scale data pipelines, analytics, machine learning, AI applications and agents. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on Databricks to work with enterprise data and AI at scale. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Agent Bricks, Lakeflow, Lakehouse, Lakebase, Genie 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