1. Introduction

Modern applications often need to keep data synchronized across multiple databases or systems. For example, an organization might maintain its primary operational database while also maintaining a separate database for reporting, analytics, search, or downstream application processing.

One common approach is to periodically copy data from the source database to the destination database. However, repeatedly copying entire tables can be inefficient, especially when only a small percentage of records have changed.

Change Data Capture (CDC) provides a more efficient approach by identifying and capturing changes made to the source data. Instead of transferring entire tables repeatedly, a CDC system captures individual data changes, such as INSERT, UPDATE, and DELETE operations, and propagates them to another system.

In this tutorial, we will build a simple CDC pipeline using PostgreSQL and Java.

We will use PostgreSQL database triggers to capture changes made to a source table.…