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.
Learning Spark hit #1 best seller on Amazon in Java programming http://t.co/KqcFdVjDEQ @ApacheSpark #bigdata http://t.co/UPvBHlqdtx
Databricks Aims To Become The Platform For Big Data http://t.co/7CaaoBVNYj via @Forbes @Databricks @ApacheSpark http://t.co/Edt69CNMiY