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Databricks Inc.

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1,348 reviews
  • 2 profiles
  • 14 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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Profile Name
Star Rating
1067
264
13
1
3
Chandan C.
CC
Chandan C.
06/17/2026
Validated Reviewer
Review source: G2 invite on behalf of seller
Incentivized Review

Flexible Data Pipelines with Easy Setup

I like using Databricks for loading commerce and finance data from legacy systems. It offers flexible data pipelines that make my data engineering tasks much smoother. The dashboard is nice and interactive, and I appreciate the integration with the lakebase Postgre database. Plus, the setup process was easy, which definitely added to its appeal. The platform provides lots of flexibility, which has been a significant factor in our use.
Ram T.
RT
Ram T.
Principle Data Solution Architect
06/17/2026
Validated Reviewer
Review source: G2 invite on behalf of seller
Incentivized Review

Innovation and Speed That Deliver

Innovation and speed. The new products are really good
Verified User
G
Verified User
06/17/2026
Validated Reviewer
Review source: G2 invite on behalf of seller
Incentivized Review

Smooth Setup, High-Speed AI Automation

I like the AI agents in Databricks, which are super helpful. The feature I appreciate the most is the Genie code as it has reduced our processing time and increased the speed of delivery significantly. The initial setup was smooth and efficient.

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HQ Location:
San Francisco, CA

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@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