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By Eric Goldman| DEV Community@ As a developer researching change data capture (CDC) on Postgres, what do you need to know? We’ve worked with hundreds of developers as they implement CDC specifically on Postgres. We’ve written extensively on the topic. This post aims to synthesize our learnings to help you build a better understanding of CDC, weigh different implementation options, and find the best CDC implementation for your use case.
By Eric Goldman| DEV Community@ Debezium is a popular solution for streaming changes from Postgres. It was amongst the first generation of tools purpose built to help developers implement a change data capture (CDC) pattern. While Debezium introduces complex dependencies like Kafka to operate, in total it abstracts away many of the challenges around detecting and delivering every change in your database. This post aims to help developers understand how Debezium works with Postgres so you can better architect your system.
By Eric Goldman| DEV Community@ Change Data Capture (CDC) has become a critical component of modern data architectures. Teams use CDC to build event-driven workflows that react to database changes. Or to maintain state across services and data stores. As a critical component of the stack, teams need a CDC solution that's fast and reliable. In this guide, we'll compare the leading real-time CDC solutions across three key dimensions that matter most: technical capabilities, required expertise, and budget considerations.
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