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Why logical replication is needed if streaming replication can replicate full cluster in postgress

While Streaming Replication (SR) is great for disaster recovery, Logical Replication (LR) solves a different set of problems that SR cannot handle.

You need Logical Replication because it offers flexibility and selectivity that is impossible with Streaming Replication.


1. Streaming Replication's Limitations (Why it's too Rigid)

Streaming Replication is a physical copy—it duplicates the entire server, byte-for-byte, using the raw internal log (WAL). This strength is also its weakness:


2. Logical Replication's Advantages (The Need for Flexibility)

Logical Replication copies the data as logical SQL changes (like INSERT INTO table...), giving it freedom from the physical server structure:

AdvantageHow Logical Replication HelpsAnalogy
Selective ReplicationYou can replicate only specific tables or schemas. This saves disk space and network bandwidth on the subscriber server.Instead of copying the whole textbook, you only copy the History chapter.
Zero-Downtime UpgradesYou can stream data from an old PostgreSQL version (e.g., v14) to a new version (v16). When the new server is caught up, you simply switch your application over.You can move the contents of an old, cramped apartment directly into a new, remodeled apartment without ever stopping the mail.
Heterogeneous EnvironmentsYou can replicate data to a completely different database or even a non-PostgreSQL system (via custom tools).The data is translated from PostgreSQL's internal binary "language" into standard SQL "English," which other systems can understand.
Bi-Directional ReplicationIt can be configured so that two different servers can both send and receive updates from each other (though this is complex and risky).Two different branches of a company can sync their inventory data with each other selectively.

In summary, Streaming Replication is your tool for redundancy and keeping the site running if the primary crashes. Logical Replication is your tool for managing, moving, and scaling data flexibly across different servers and versions.

Published on: Oct 01, 2025, 03:13 AM  
 

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