August 8, 2022

Change Data Capture with PostgreSQL, Debezium and Axual

Most companies rely heavily on the data stored in their databases. If data isn’t stored in the correct database then business processes can be corrupted and you might make decisions based on outdated or incorrect information. This makes the data and changes made to it an interesting source of events. But getting data from a database into a streaming platform has its challenges. This is part 2 of our blog series and continues to explain how to implement Change Data Capture with PostgreSQL, Debezium on the Axual platform.

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Answers to your questions about Axual’s All-in-one Kafka Platform

Are you curious about our All-in-one Kafka platform? Dive into our FAQs
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What is Change Data Capture?

Change Data Capture (CDC) is a pattern that identifies and captures changes made to data in a database. This process allows organizations to send updates, deletions, and insertions to other systems in real-time, ensuring that data remains consistent and up-to-date across different applications. CDC is important for maintaining data integrity, enabling real-time analytics, and facilitating event-driven architectures.

How does Debezium work with PostgreSQL in the Axual platform?

Debezium acts as a CDC tool that connects to PostgreSQL databases, capturing changes made to the data and publishing them as events on the Axual platform. By leveraging Debezium’s Kafka Connect source connector, organizations can efficiently monitor and process changes in PostgreSQL, allowing for real-time updates and integration with other systems.

What are the benefits of using the Axual Self-Service portal for configuring Debezium?

The Axual Self-Service portal simplifies the configuration of the Debezium PostgreSQL connector, allowing teams to quickly set up and manage their CDC processes without extensive technical expertise. The portal enhances user experience by providing a streamlined interface for deploying Kafka connectors, monitoring performance, and ensuring data governance, making it easier for teams to adopt event-driven architectures and manage their data flows.

Richard Bosch
Richard Bosch
Developer Advocate