Explore, visualize, and publish insights with an interactive workspace.
Provision Spark clusters in the cloud with just a few clicks.
Quickly move from exploration to complete production pipelines.
Power and easily deploy a broad array of third party applications.
Seamlessly blend ETL, interactive queries, machine learning and streaming analytics using SQL, Python, Java, or Scala.
Benefit from the most active open source project in the big data with 400+ contributors from 100+ organizations.
Built-in libraries for machine learning, graph computation and more to simplify development of data-driven applications.
The @databricks blog highlights major improvements to MLlib in Spark 1.3: Topic modeling with LDA. http://t.co/DwXxa8xshd @ApacheSpark
We are thrilled to announce that Spark SQL gains many powerful new features in Spark 1.3! http://t.co/AAR4ggGvZm @databricks @ApacheSpark
160 Spear Street, 13th Floor
San Francisco, CA 94105