Getting Started with Apache® Spark on Databricks Check out our new Guide

Why Databricks?

The complete solution for data scientists and engineers.

Effortlessly manage large-scale Spark clusters

Spin up and scale out clusters to hundreds of nodes and beyond with just a few clicks, without IT or DevOps. Easily harness the power of Apache® Spark™ for streaming, machine learning, graph processing, and more.

Add & manage large scale spark clusters with Databricks.

Accelerate your work with an interactive workspace

Work interactively while automatically documenting your progress in notebooks — in R, Python, Scala, or SQL. Visualize data in just a few clicks, and use familiar tools like matplotlib, ggplot or d3.

Integrated workspace to process and manage big-data from Databricks.

Run your production jobs at scale

Put new applications in production with one click by scheduling either notebooks or JARs. Monitor the progress of production jobs and set up automated alerts to notify you of changes.

Schedule big data jobs using either notebooks or JARs with Databricks.

Collaborate interactively

Seamlessly share notebooks, collaborate in the same code base, comment on each other’s work, and track activities.

Share and collaborate with interactive Spark notebooks using Databricks.

Publish your analysis with customized dashboards

Build and articulate your findings in dashboards in a few clicks.
Set up dashboards to update automatically through jobs.

Big data analytics & management dashboard from Databricks.

Connect your favorite apps

Run your favorite BI tools or sophisticated third-party applications on Databricks.

3rd party apps supported by Databricks.

Learn more about Databricks

What some of our customers are saying

Apache Spark

Apache Spark: sophisticated analytics at blazing speed.

Unified Platform

Seamlessly blend ETL, interactive queries, machine learning and streaming analytics using SQL, Python, Java, R, or Scala.


Benefit from the most active open source project in big data with over 1000+ contributors from 250+ organizations.

Rich Libraries

Built-in libraries for machine learning, graph
computation and more to simplify development of data-driven applications.

We’re hiring

Join Databricks to work on some of the world’s most challenging Big Data problems.

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