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Databricks Inc.

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4.6 out of 5 stars
1,369 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

1,369 reviews

Making big data simple

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Databricks Inc. Reviews

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Profile Name
Star Rating
1083
269
13
1
3
MP
Mattias P.
08/28/2026
Validated Reviewer
Review source: Seller invite
Incentivized Review

Unifies Data and Boosts Collaboration

|Databricks
I use Databricks to transform and analyze large volumes of data, and it allows me to unify data from various SQL functions to cloud storage systems, which makes analysis easier. I find eliminating information silos vital for team collaboration and appreciate the optimized Spark engine for its performance with large volumes of data. I appreciate its compatibility with languages like Python, Scala, and SQL, making it comfortable for every team member to work with Databricks. It fosters smoother communication and allows for making immediate adjustments, which is something I value. Additionally, I like how it facilitates collaboration between different teams.
MYAKA N.
MN
MYAKA N.
Excited to share my Data Science and Machine Learning certification from ExcelR. Open to new opportunities to apply these skills. Grateful for the support
08/26/2026
Validated Reviewer
Verified Current User
Review source: Organic Review from User Profile

Databricks Daily: Genie and Inline Assistant Supercharge Our Data Engineering

|Databricks
As a data engineer, we use Databricks Daily. We integrate Databricks into other clouds. We get the data and process the TBs of data. Genie code and the inline Assistant were the most helpful tools for me on my project. It has a user-friendly interface.
Verified User
G
Verified User
08/12/2026
Validated Reviewer
Review source: Seller invite
Incentivized Review

Empowers Data Pipeline Creation with Robust Community Support

|Databricks
I like the community. The people that use Databricks are pretty cool people, and I also like how they are a champion for the open source. Having a nice community of technologists to lean on and talk to opens my eyes to the possibilities on the platform. I love being able to do things for free slash cheap, and I also like being able to bring my own tooling and libraries to my projects. Exploring different tooling and libraries that people tell me about is great, and the fact that I can just pull anything I really want from GitHub so simply on Databricks is a huge value add because I can go on to any project and make some magic happen.

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HQ Location:
San Francisco, CA

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@databricks

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