Webinar Replay

Real-Time Replication vs. ETL - How Analytics Requires New Technologies Designed For It, Not '70s Technology


ETL vs CDC vs Replication - Choosing The Best Option

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 necessarily 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 executed the 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.


  • How ETL operates
  • How Change Data Capture (CDC) operates
  • Replication operation
  • Comparing data movement cadence
  • The data impedance mismatch


MC Brown
Former VP of Products, Continuent

MC Brown is a professional writer and technologist for over 25 years, an author and contributor to over 26 books covering a wide array of topics, and technical and architectural advisor on databases, cloud and grid computing, and operating system development. During his time he has worked for and with Sun, MySQL, Oracle, Couchbase, VMware, Microsoft and IBM, and written for O'Reilly, IBM, Computerworld, IBM developerWorks and many others.

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