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Databricks Inc.

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4.6 out of 5 stars
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

1,348 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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264
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3
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.
Vishaka C.
VC
Vishaka C.
Full Stack Developer | Working on Web and Cloud Projects
07/13/2026
Validated Reviewer
Verified Current User
Review source: Seller invite
Incentivized Review

Helpful for Managing and Analyzing Operational Data

|Databricks
We use Databricks to process booking and service data before creating operational dashboards for our team. I imported datasets into Delta tables, used SQL queries to prepare revenue and booking metrics, and built KPI dashboards to monitor provider performance and monthly trends. Catalog Explorer made it easier to inspect schemas and validate data before reporting. Keeping data preparation, querying, and visualization in one workspace reduced manual work and helped us generate reports faster.

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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