Unified Analytics is a new category of solutions that unify data processing with AI technologies, enabling organizations to accelerate their AI initiatives.
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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
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.
Speed up the preparation of high-quality data, essential for best-in-class ML applications, at scale.
Collaboratively explore large datasets, build models iteratively and deploy across multiple platforms.
“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.
“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
“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
“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
“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