Databricks Inc.

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1,412 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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3
Anand D.
AD
Anand D.
senior data engineerMid-Market (51-1000 emp.)
10/28/2026
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Verified Current User
Review source: Organic Review from User Profile

Scalable Data Platform That Covers All Our Needs

its for all the data needs. can be scaled, room for endless new features, data governance
Shubhangi J.
SJ
Shubhangi J.
Associate ITMid-Market (51-1000 emp.)
10/28/2026
Validated Reviewer
Verified Current User
Review source: Organic

Databricks Unifies Data Engineering, Analytics, and ML Seamlessly

What I like best about Databricks is its ability to bring data engineering, data analytics, and machine learning together in one platform. It makes it easier to process large datasets, build data pipelines, and collaborate using notebooks and SQL. I also like its integration with cloud platforms and its support for scalable data processing, which helps simplify complex data workflows.
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G
Verified User
Enterprise (> 1000 emp.)
10/27/2026
Validated Reviewer
Review source: Organic

Secure, User-Friendly Data Platform—But LLM Costs Add Up

I use Databricks for Unity Catalog and the infrastructure to handle all our data streams and stitch them together. I like its security, user-friendliness, and all-in-one platform.

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HQ Location:
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