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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
faiz s.
FS
faiz s.
Associate Engineer (Consultant)
06/17/2026
Validated Reviewer
Review source: G2 invite on behalf of seller
Incentivized Review

Versatile, Available, and Well-Supported

It’s variety in use and availability and support
José Victor M.
JM
José Victor M.
Principal Data Engineer | Tech Lead | Databricks | Data Governance | Data Architecture | Azure | Big Data | Spark | SQL | Cloud
06/17/2026
Validated Reviewer
Review source: G2 invite on behalf of seller
Incentivized Review

Databricks: One Platform for Everything We Need

I really really like the one platform for all the capabilities that we need!
Verified User
G
Verified User
06/17/2026
Validated Reviewer
Review source: G2 invite on behalf of seller
Incentivized Review

Comprehensive Analytics with Smooth Workflows

I use Databricks for end-to-end analytics and pipeline development for machine learning. I love that it provides the whole analytical pipeline and machine learning workflows from exploratory data analysis to serving and monitoring, all in one place. It has made workflows and jobs run extremely smoothly and reliably. The initial setup was extremely easy, so much so that I thought I might be doing something wrong. Overall, I rate it a 10 out of 10 for recommending it to a friend or colleague.

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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