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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3
Verified User
AN
Enterprise (> 1000 emp.)
4/5

Databricks serves as a comprehensive platform for ETL processing, combining data ingestion, processing, and AI capabilities into one solution. The integration with Genie enhances data analysis efficiency, although new users may face a steep learning curve.

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CL
Christopher L.
Senior Solutions ArchitectEnterprise (> 1000 emp.)
11/11/2026
Validated Reviewer
Review source: Seller invite
Incentivized Review

Powerful Analytics Platform, with Governance Gaps to Address

I like Databricks’ open-source nature, its pay-as-you-consume model, and its strengths in data analytics, processing, and modelling. The interface and extensibility are awesome, and I like that it integrates with so many other systems. The setup was technically easy. We also found a good fit in its features, open-source approach, cost, and alignment with our future platform strategy.
Verified User
AN
Senior Data Engineer
Enterprise (> 1000 emp.)
5/5

Databricks offers an intuitive all-in-one platform that simplifies workflows by eliminating the need for multiple solutions. The support team, including a dedicated account manager, is readily available to assist with projects and best practices.

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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