Databricks Inc.

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1,414 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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Chris K.
CK
Chris K.
Applied ScientistEnterprise (> 1000 emp.)
11/10/2026
Validated Reviewer
Review source: G2 Gives Campaign
Incentivized Review

Good initial analysis

It's good for initial analysis and POC development.
PS
Paul S.
Director of data operationsMid-Market (51-1000 emp.)
11/10/2026
Validated Reviewer
Review source: Organic

Advanced Metadata Management and Governance with Lakehouse + Lakebase

Combo of lake house with lakebase supports advanced metadata management. We created a metadata oltp like metadata model in lakebase supporting advanced automated pipeline builds, PHI protection and governed tagging for dlp
Verified User
U
Data Scientist I
Mid-Market (51-1000 emp.)
5/5

Genie has transformed the process of building data pipelines, making it significantly easier for users. While it excels in functionality, there are occasional concerns about high compute costs and slower performance at times.

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San Francisco, CA

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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