Cloudera named a leader in 2022 Gartner® Magic Quadrant™ for Cloud Database Management Systems Get the report
SQL has become a staple in any enterprise, opening up data to users across many different departments and use cases. It’s no surprise that SQL access was quick to emerge within Hadoop technologies to make it easier to process and analyze the volumes of data being stored in Hadoop. Today, the Hadoop ecosystem is full of SQL-on-Hadoop technologies. However, while they may all have SQL in common, many of these tools are designed to address very different needs and use cases. In this webinar, we look at three SQL-on-Hadoop leaders available with the recent release of Cloudera 5.5 - Hive, Impala, and Spark - and how they are designed to complement each other to address use cases across the business.

Get it now

Yes, I would like to be contacted by Cloudera for newsletters, promotions, events and marketing activities. Please read our privacy and data policy.
Yes, I consent to my information being shared with Cloudera's solution partners to offer related products and services. Please read our privacy and data policy.
I agree to Cloudera's terms and conditions.

Your form submission has failed.

This may have been caused by one of the following:

  • Your request timed out
  • A plugin/browser extension blocked the submission. If you have an ad blocking plugin please disable it and close this message to reload the page.