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Debezium Blog

At ScyllaDB, we develop a high-performance NoSQL database Scylla, API-compatible with Apache Cassandra, Amazon DynamoDB and Redis. Earlier this year, we introduced support for Change Data Capture in Scylla 4.3. This new feature seemed like a perfect match for integration with the Apache Kafka ecosystem, so we developed the Scylla CDC Source Connector using the Debezium framework. In this blogpost we will cover the basic structure of Scylla’s CDC, reasons we chose the Debezium framework and design decisions we made.

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I am very happy to announce the release of Debezium 1.7.0.CR1!

For this release, we’ve reworked how column filters are handled during snapshotting, the Debezium container images have been updated to use Fedora 34 as their base, there’s support for MySQL INVISIBLE columns, and much more.

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Apache Kafka 2.8 allows for a first glimpse into the ZooKeeper-less future of the widely used event streaming platform: shipping with a preview of KIP-500 ("Replace ZooKeeper with a Self-Managed Metadata Quorum"), you can now run Kafka clusters without the need for setting up and operating Apache ZooKeeper. This does not only simplify running Kafka from an operational perspective, the new metadata quorum implementation (named "KRaft", Kafka Raft metadata mode) also should provide much better scaling characteristics, for instance when it comes to large numbers of topics and partitions.

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It’s my pleasure to announce the second release of the Debezium 1.7 series, 1.7.0.Beta1!

This release brings NATS Streaming support for Debezium Server along with many other fixes and enhancements. Also this release is the first one tested with Apache Kafka 2.8.

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Welcome to the latest edition of "Debezium Community Stories With…​", a series of interviews with members of the Debezium and change data capture community, such as users, contributors or integrators. Today it’s my pleasure to talk to Sergei Morozov.

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