Featured Posts

Tags
apache kafka apache kafka apicurio avro aws batch caassandra camel cassandra cdc channels community community stories connectors containers cqrs custom datalake db2 ddd debezium debezium server debezium ui deduplication discussion docker elasticsearch event sourcing exactly once semantics example examples features fedora flink hiring ibmi iceberg informix integration introduction jaeger jdbc json kafka kafka streams kafka streams kogito ksql kubernetes lakehouse machine learning mariadb microservices mongo mongodb mysql news newsletter notifications online learning operator oracle outbox performance postgres presentation production quarkus questdb rds releases schema scylla secrets sentry serialization signaling smt snapshots spanner spark sql sqlserver tensorflow testcontainers tests time series timescaledb topics tracing transactions vagrant vitess website

Debezium Blog

In this article, we are going to present and demonstrate a new feature delivered in Debezium 2.4 - the integration with the TimescaleDB database.

TimescaleDB is an open-source database designed to make SQL scalable for time-series data. It is implemented as an extension for the PostgreSQL database. This fact leads us to re-use the standard Debezium PostgreSQL connector and implement TimescaleDB support as a single message transform (SMT).

Read More    

As the winter chill settles in, and we transition to the festive holiday season, our dedicated team has been busy preparing a special gift for the Debezium community. I am excited to share the immediate release of Debezium 2.5.0.Final, just in time for the holiday celebrations. Get ready to unwrap this latest minor version, filled with holiday cheer and exciting new features!

Let’s take a moment and review all the new features, changes, and improvements that are included in Debezium 2.5, which includes 181 issues resolved by 37 unique contributors.

Read More    

In the realm of data streaming optimization, even subtle improvements can make a significant impact. This article focuses on one such refinement: the introduction of batch support in Debezium’s JDBC connector. We’ll guide you through the process of enabling batches and share the practical outcomes of our performance testing.

Read More    

As we are just one step away from the Debezium 2.5 final release, I am pleased to announce that Debezium 2.5.0.CR1 is now available. This release includes a number of improvements like AWS SQS sink for Debezium Server, INSERT/DELETE semantics for incremental snapshot watermarking, ReselectColumnsPostProcessor, uniform Oracle LOB behavior.

Additionally, this release includes a variety of bug fixes and several breaking changes.

Let’s take a closer look at all these changes and improvements included in Debezium 2.5.0.CR1; as always, you can find the complete list of changes for this release in the release notes. Please remember to take special note to any breaking changes that could affect your upgrade path.

Read More    

As we begin to approach the final stretch for Debezium 2.5, I am pleased to announce that Debezium 2.5.0.Beta1 is now available. This release includes a number of improvements like support for MariaDB GTID, partitioning for Debezium Server EventHub’s sink, native RabbitMQ streams Debezium Server sink, streaming from PostgreSQL 16 stand-by databases, MySQL high-precision source timestamps, field inclusion/exclusion with JDBC sink, some additional notifications for initial snapshots, and service account support for Debezium Operator CRDs. Additionally, this release includes a variety of bug fixes and several breaking changes.

Let’s take a closer look at all these changes and improvements included in Debezium 2.5.0.Beta1; as always, you can find the complete list of changes for this release in the release notes. Please remember to take special note to any breaking changes that could affect your upgrade path.

Read More