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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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Profile Name
Star Rating
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3
PJ
Philip J.
07/08/2026
Validated Reviewer
Review source: Seller invite
Incentivized Review

Effortless Real-Time Collaboration and Fast Data Processing

|Databricks
I must say that Databricks has earned a place among my favorites since I started using it. It changed the way I handle large volumes of data and is truly excellent. I use several of its features to divide tasks and run operations in parallel, allowing us to keep up with business demands. Databricks solves problems, keeps everything under control, and manages data quality, enabling us to work much more efficiently. I enjoy being able to work on projects with my colleagues in real time, sharing notebooks and conducting joint analyses. I love the speed at which large amounts of data can be processed, allowing me to obtain information more quickly and make informed decisions. The initial setup was great as well.
RK
Raushan K.
07/08/2026
Validated Reviewer
Review source: Seller invite
Incentivized Review

Streamlined ML with Intuitive Features, Needs Enhanced Troubleshooting

|Databricks
I like Databricks for many reasons. Its version control system is a standout feature, especially with its ability to roll back time, which has really saved us when we needed to recover data or understand changes. I also appreciate the user interface and the collaborative experience it provides. The ability to comment, version, and link results makes troubleshooting much easier for us. Additionally, I found the initial setup process to be surprisingly easy, with everything working very well right from the start.
SP
Shekhar P.
07/07/2026
Validated Reviewer
Review source: Seller invite
Incentivized Review

Seamless Integration and Reliable Data Management

|Databricks
I appreciate the connectivity and ecosystem of Databricks because the integration is excellent, and the orchestration tool is superb. The APIs make integrating Databricks with our tools a breeze. I also value the version control and ACID transformations, which make reconciliation and forwarding far less prone to manual errors. These functions are reliable for critical transfer and version control operations, reducing human risk and facilitating auditing. Additionally, ACID ensures data integrity and recoverability, and the support and integration shorten resolution time, improving operational stability. The initial setup was easy.

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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