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Databricks Inc.

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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 Inc. Reviews

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NH
Noorul H.
Data Engineer at Royal Solar Energy Pvt Ltd
09/25/2026
Validated Reviewer
Review source: Seller invite
Incentivized Review

Powerful Collaboration, Needs Better Templates

I like the collaboration capability of Databricks, which allows me to easily share content, receive feedback, and make real-time adjustments. Its attractive and flexible interface is another feature I enjoy. Additionally, the ability to create impactful visualizations in just minutes helps me present findings more effectively. I also appreciate how it has resolved data processing issues by enabling parallel task execution, reducing the total time required for data processing.
DK
Daniel S K.
Data Engineer | ML | Python | Azure at ClipClaps
09/24/2026
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Review source: Seller invite
Incentivized Review

Straightforward Setup, Excellent Documentation, and Strong Performance

I liked how straightforward the initial setup was, thanks to the excellent documentation. I also appreciated how easy it is to use, along with its good performance.
Hassan S.
HS
Hassan S.
Machine Learning | MLOps | Data Science at Cybertron Labs (Pvt) Ltd
09/24/2026
Validated Reviewer
Review source: Seller invite
Incentivized Review

Seamless Workflow and Interactive Notebooks in Databricks

I really like the visualization features in Databricks because they let me present data and results to my team in a more engaging way. The interactivity of the notebooks is also a major plus for me. Databricks helps simplify my processes by consolidating everything into one place, so I don't have to handle multiple tools. The initial phase of setting up was simple, too.

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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