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Having created the Spark engine, Databricks is now seeking to grow adoption – and a business – through its own platform as a service (PaaS).


  • Databricks has become known as the creator of Spark, currently the most active Apache Hadoop-related open source project.
  • Databricks is now ramping up its core business with the Databricks PaaS offering, which provides Spark-as-a-service.
  • Since being offered for limited availability last fall, the Databricks PaaS offering has drawn over 3,500 registered users.

Features and Benefits

  • Introduces Databricks and the fast-growing Spark Apache open source project.
  • Analyzes how Databricks PaaS will provide a simplified on-ramp for enterprises to get up to speed and operationalize Spark.

Key questions answered

  • What is the Databricks PaaS?
  • How will the Databricks PaaS spark enterprise Spark adoption?
  • What is the Spark compute framework, and how could it transform big data analytics?

Table of contents


  • Catalyst
  • Key messages
  • Ovum view

Recommendations for enterprises

  • Why put Databricks on your radar?


  • Background
  • Current position

Data sheet

  • Key facts


  • On the Radar
  • Author

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