Real-time replication vs ETL: How analytics requires new technologies designed for it, not '70s technology

There are many ways of moving data from source databases into your target system. Historically, the Extract, Transform, and Load (ETL) has been the method for moving data effectively between databases and analytics platforms. But ETL is no longer the right solution for the modern data-movement needs. Back in the early days of data movement extraction on a monthly, weekly, even daily basis could be enough. Today, analytics often needs to be execute same day, sometimes even within seconds of the original data being generated. Replication, where information is moved in near real-time, provides a more efficient, and quicker data movement solution.

Join our webinar Wednesday, November 8th, as we review:

  • How ETL operates
  • How CDC operates
  • Replication operation
  • Comparing data movement cadence
  • The data impedance mismatch.

Register at

About the Author

Petri Virsunen
Former VP of Marketing

Petri brings 30 years of experience at the intersection of marketing, IT, software product development, and social media. Prior to Continuent, he was at VMware’s Cloud Provider Software business unit delivering innovative cloud solutions and programs enabling cloud providers to rapidly transform their businesses with ready-to-run cloud software and services that unleash the power of the unified hybrid cloud.

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