Data-driven Predictions at Scale

As businesses contend with quickly growing volumes of data and an expanding variety of data types and formats, the ability to gain deeper and more accurate insights becomes near impossible at scale without machine assistance. 

Powered by Apache Spark™, Databricks provides a unified analytics platform that accelerates innovation by unifying data science, engineering and business with an extensive library of machine learning algorithms that seamlessly updates with each Spark release, interactive notebooks and support for common programming languages like R, Python, Scala, and SQL to quickly build and train models, and cluster management capabilities that enable the provisioning of highly-tuned Spark clusters on-demand.

Ready to take your business intelligence to the next level?  Get started with the Databricks Machine Learning Starter Kit today!

Machine Learning with Databricks Cycle Chart


  • Accelerate feature data extraction at scale.
  • Easily support a variety of data sources and formats.
  • Simplify ETL and implement machine learning in a single framework.


  • Speed up iterative model tuning with interactive notebooks.
  • Interactively query large-scale data sets in R, Python, Scala, or SQL.
  • Visualize results with rich dashboards.


  • Provision distributed clusters on-demand.
  • Scale storage and compute resources independently.
  • Ensure uninterrupted operations with seamless updates of MLlib.

Customer Success Story: Radius Intelligence

“The fact that explorations by our data science team now take less than an hour, rather than days, has fundamentally changed how we ask questions and visualize changes to the index.”

— Adrian Druzgalski CTO and Co-Founder, Radius Intelligence

Machine Learning Made Simple.

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