Debezium Roadmap

This page describes the roadmap for upcoming work on Debezium.

Debezium is community-driven and as such the roadmap constantly evolves to reflect the users needs and contributions. You can find a fine-grained list of planned issues and feature requests in our issue tracker, but this page is a good starting point to see where we are going.

This roadmap is subject to changes. Please get in touch if you think anything important is missing on the roadmap.

The Debezium community pursues a time-boxed release scheme: minor releases (1.2, 1.3, etc.) are done at the end of every quarter, with preview releases (1.3.0.Alpha1, 1.3.0.Beta1, etc.) every three weeks. As our engineering capacity is limited, we’re focusing our efforts on a single release line at a time (e.g. 1.3), i.e. patch releases for the current stable minor release (e.g. 1.2.1.Final) are done in case of critical bug fixes only.

2.5 - December 2023

  • Oracle hybrid mining strategy

  • MariaDB first-class source connector implementation

  • Parallelization of Debezium Embedded Engine

  • Continued work on Debezium Operator for Kubernetes

  • Kafka 3.6 support

  • Exactly-Once support for other connectors

  • Oracle XML data type support

  • Improvements to OpenLogReplicator Oracle integration

  • Enhanced watermark support for signal table / incremental snapshots

  • Db2 for z/OS and iSeries

  • Batch support for JDBC sink connector

  • Support for large BSONDocuments with MongoDB 6+

  • Oracle 23 support (preview)

  • Continued improvements to Debezium UI

  • Debezium Server support in Debezium UI (preview)

Future Releases

  • Two new community-led connectors (currently work in progress)

  • Add schema history compaction tool

  • SPIs for snapshotting

  • Create PoC for implementing sagas (long-running business transactions spanning multiple (micro-)services) using CDC and the outbox pattern

  • Provide a Debezium-specific SPI for describing change event schemas

  • API/SPI allowing to implement custom connectors on the foundations of Debezium

  • Exploration of creating aggregated events, based on the streams/data from multiple tables, so to enable use cases which need to incorporate data from multiple tables into a single output structure (e.g. an Elasticsearch document containing order and orderline info)

  • Explore and provide building blocks for implementing CQRS architectures based on change data streams

  • Support for Infinispan as a source

  • Allow to propagate custom contextual data in change messages (e.g. the business user doing a certain change)

  • Support for Infinispan as a sink (to enable caching use cases)

  • Provide more detailed monitoring information about Debezium’s internal state and health via JMX (e.g. to spot loss of DB connection while the connector still is running)

  • Explore publication of change events via reactive data streams (on top of embedded connector)

  • New implementation of the Debezium embedded engine independent of Kafka Connect APIs

  • Debezium UI - New CLI tooling

  • Oracle transaction buffer rework

Past Releases

Please see the releases overview page to learn more about the contents of past Debezium releases.