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Databricks Inc.

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4.6 out of 5 stars
1,349 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

1,349 reviews

Making big data simple

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Databricks AI

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Databricks Inc. Reviews

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Star Rating
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3
ZA
Zeeshan A.
07/14/2026
Validated Reviewer
Review source: Seller invite
Incentivized Review

Efficient Data Management with Room for UI Improvements

|Databricks
I especially like the ability to generate visualizations within the same platform, which saves me a lot of time by not having to constantly export the data to make the information understandable. The real-time collaboration capabilities and processing speed are undoubtedly excellent, and the fact that it can be installed on a laptop and allows me to view the team's progress is superb. The initial setup was surprisingly efficient.
AA
Azael A.
07/14/2026
Validated Reviewer
Review source: Seller invite
Incentivized Review

Successful enterprise telemetry processing deployment despite frustrating dashboard lag

|Databricks
The platform offers optimized Photon engines on top that perform telemetry processing at great pace for big scale payloads. With serverless SQL warehouses, our teams can run large, concurrent queries without having to manage the scheduling of resources. With the centralized object governance in unity catalog, clear column level data lineage is supported across multi regional workspace deployments.
AS
Anna S.
07/13/2026
Validated Reviewer
Review source: Seller invite
Incentivized Review

Empowers Data Insights, Minor Interoperability Hurdles

|Databricks
I find the recent opening of the dashboard-building apps invaluable for presenting market findings to our brokerage teams. The Genie feature is great for quick reads across regional pricing datasets without disappointment. Databricks scales effortlessly, which is really helpful when comparing years of transaction records against current inventory. Building a comparative pricing dashboard in much less time than before has been a game-changer for me, with the scanning speed alone reshaping my workflow.

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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