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A guide to database replication with open source

Submitted by Rianne Schestowitz on Wednesday 18th of August 2021 09:53:32 AM Filed under
OSS

In the world of constantly evolving data, one question often pops up: How is it possible to seamlessly replicate data that is growing exponentially and coming from an increasing number of sources? This article explains some of the foundational open source technologies that may help commoditize database replication tasks into data warehouses, lakes, or other databases.

One popular replication technology is Change Data Capture (CDC), a pattern that allows row-level data changes at the source database to be quickly identified, captured, and delivered in real-time to the destination data warehouse, lake, or other database. With CDC, only the data that has changed since the last replication—categorized by insert, update, and delete operations—is in scope. This incremental design approach makes CDC significantly more efficient than other database replication patterns, such as a full-database replication. With full-database replication, the entire source database table with potentially millions of rows is scanned and copied over to the destination.

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