Databricks Unified Analytics

Accelerate innovation by unifying data science, engineering and business

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Unified Analytics is a new category of solutions that unify data processing with AI technologies, enabling organizations to accelerate their AI initiatives.

Ali Ghodsi, CEO at Databricks

Preview Delta, Today!

Snowflake integration now available!

Fact: 96% cite data
challenges as #1 blocker
to AI success.

A new open source framework for the complete ML lifecycle

Make R programming simpler and more scalable with RStudio and Databricks.

A Gentle Introduction to Apache Spark™

Unifying Big Data and AI

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Unifying Data Science and Engineering

Databricks Unified Analytics Platform, from the original creators of Apache Spark™, unifies data science and engineering across the Machine Learning lifecycle from data preparation, to experimentation and deployment of ML applications.

  • Data Engineering

    Speed up the preparation of high-quality data, essential for best-in-class ML applications, at scale.

  • Data Science

    Collaboratively explore large datasets, build models iteratively and deploy across multiple platforms.

Learn more
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“Databricks is helping us to extract value from the data in a way that never seen before, empowering us to create new products and smarter services for our customers.”

- Franco Vieira, Lead Data Scientist at HP, Inc.

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“With Databricks we have been able to reduce the time it takes to ETL massive amounts of data from weeks to just a few hours.”

- Lukas Habegger, Associate Director of Bioinformatics at the Regeneron Genetics Center

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“We were able to take a tool that previously would have been fairly localised to a single region and turn that into a global product which actually is now becoming the foundation for the way our inventory analysts will now do their work.”

- Daniel Jeavons, General Manager Advanced Analytics CoE, Shell

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“Databricks lets us focus on business problems and makes certain processes very simple. Now it’s a question of how do we bring these benefits to others in the organization who might not be aware of what they can do with this type of platform.”

- Dan Morris, Senior Director of Product Analytics , Viacom

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“Working in Databricks is like getting a seat in first class. It’s just the way flying (or data science-ing) should be.”

- Mary Clair Thompson Data Scientist, Overstock.com