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Debezium Blog

The Debezium project is starting off 2025 with a tremendously fun filled release of Debezium 3.1.0.Final. This release includes a myriad of features across multiple connectors, transformation support with WebAssembly and Go, our first official release of the Debezium Management Platform, two brand-new Debezium Server sinks for vector databases and large language models, a new AI module, and that’s not the half of it!

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We are excited to announce a candidate release for Debezium 3.1, 3.1.0.CR1.

This new release includes several improvements with the JDBC sink and MySQL connectors, support for ISO string temporal values and Keyspace heartbeats with Vitess, key-based routing for RabbitMQ, and more. Let’s dive in and take a look at these new features and improvements.

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March 18, 2025 by Fiore Mario Vitale

Recently there were some changes around Debezium charts, so I’m here to explain what these changes are and the reason behind them. As you should be aware from our latest release announcement, we are going to release the first version of our Debezium Management Platform.

Debezium Management Platform aims to simplify the deployment of Debezium to various environments in a highly opinionated manner. To achieve this goal, the platform uses a data-centric view of Debezium components.

It is for us a normal evolution from Debezium Server. We have provided you with an operator to easily operate it in Kubernetes environments, and now we are providing a high-level abstraction to deploy your data pipelines leveraging the operator + Debezium Server. You can read more on the reasoning behind this new project in the Status of Debezium UI.

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We are pleased to announce the first beta release of Debezium 3.1, 3.1.0.Beta1.

This release includes a myriad of features and improvements, including but not limited to our first official release of Debezium Server UI, CloudEvent traceparent support, new features for Debezium’s PubSub and RabbitMQ sinks, schema access in the WASM transformation, and much, much more. Let’s dive in and take a look at all these new features and improvements.

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Change Data Capture (CDC) is widely used in various contexts, such as microservices communication, legacy system modernization, and cache invalidation. The core idea of this pattern is to detect and track changes in a data source (e.g., a database) and propagate them to other systems in real-time or near real-time. Debezium is a CDC platform that provides a wide range of connectors for most data sources. Beyond capturing changes, it also offers transformation capabilities through...

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