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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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264
13
1
3
Rachit S.
RS
Rachit S.
07/09/2026
Validated Reviewer
Verified Current User
Review source: Seller invite
Incentivized Review

Premium Notebook Experience That Unifies ML and Data Engineering

|Databricks
The notebook experience is one of the premium features I use very often. It saves me time, and I spend less time on operational tasks compared to actually working productively with data because the user flow is so simplified. The biggest advantage is having ML and data engineering under one roof, so I don’t have to switch between different tools. The support and onboarding are very smooth as well, and the product’s performance is better than its competitors.
AS
Aditi S.
07/09/2026
Validated Reviewer
Review source: Seller invite
Incentivized Review

Powerful Tool with Intuitive Interface, Demands Organizational Effort

|Databricks
I appreciate Databricks for its intuitive interface, which is very user-friendly and flexible, making work comfortable. I use it extensively for collaborative work; my colleagues can view, comment on, and improve analyses all in one place, which is really handy. I can also develop production models, train, test, and deploy them efficiently. It offers excellent data control by allowing me to manage who accesses which data and track changes, reducing technical issues and data inconsistency problems while improving regulatory compliance. I also found the initial setup simple, which is a big plus for us.
Verified User
G
Verified User
07/08/2026
Validated Reviewer
Review source: G2 invite

Seamless Web-Based Analytics with Some Learning Curve

|Databricks
I really like that Databricks is integrated in a web browser, which makes it extremely easy to access. Anyone with access to a web browser and authentication to our data system can do self-service analytics. This is a big improvement from when we used Teradata, which was extremely slow and required downloading an application. Now, with Databricks, everything's in the web browser and that's a major plus.

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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