skip to main content
Close Icon We use cookies to improve your website experience.  To learn about our use of cookies and how you can manage your cookie settings, please see our Cookie Policy.  By continuing to use the website, you consent to our use of cookies.
Global Search Configuration


Databricks, the company whose founders created the Spark computing engine, is now adding a data storage piece to its cloud-based Spark computing service that combines management of data pipelines with management of data stored in columnar Parquet format in AWS S3 cloud storage.


  • Delta adds the missing data persistence piece to Databricks' Spark compute service.

Features and Benefits

  • Compares Databricks Delta with other cloud-based big data analytics services and data flow services.
  • Discusses how Databricks provides a good example of the growing role of data pipelines in changing how big data is analyzed and processed.

Key questions answered

  • How does Databricks Delta differentiate from cloud-based Hadoop services?
  • How does Databricks differentiate from other cloud-based data warehouses (e.g., Amazon Redshift, Snowflake) and query services (e.g., Amazon Athena) that have added direct access to cloud storage (e.g., AWS S3)?

Table of contents

Ovum view

  • Summary
  • Delta adds the missing data persistence to Spark compute service
  • Making the platform unified – Spark's missing links
  • Databricks must cultivate an unfamiliar audience: business analysts


  • Further reading
  • Author

Recommended Articles


Have any questions? Speak to a Specialist

Europe, Middle East & Africa team - +44 (0) 207 017 7700

Asia-Pacific team - +61 (0)3 960 16700

US team - +1 646 957 8878

Email us at

You can also contact your named/allocated Client Services Executive using their direct dial.
PR enquiries - Call us at +44 788 597 5160 or email us at

Contact marketing -

Already an Ovum client? Login to the Knowledge Center now