Featured Posts

Tags
UI WebAssembly ai analytics announcement announcement discussion survey apache kafka apache kafka apicurio avro aws batch caassandra camel cassandra cdc channels charts chicory cockroachdb community community stories connectors containers core cqrs custom data data engineering data replication datalake db2 ddd debezium debezium server debezium ui debugging deduplication demo discussion dlt dlthub docker elasticsearch embedded engine event sourcing exactly once semantics example examples features fedora flamegraphs flink go graalvm hiring ibmi iceberg images informix integration introduction jaeger jdbc json kafka kafka streams kafka streams kogito ksql kubernetes lakehouse lineage machine learning mandrel mariadb metrics microservices mongo mongodb monitoring mysql native news newsletter notifications online learning openlineage operator oracle outbox performance platform postgres presentation production pydbzengine python quarkus questdb rag rds releases schema scylla secrets sentry serialization signaling smt snapshots spanner spark sql sqlserver tensorflow testcontainers tests time series timescaledb tinygo topics tracing transactions troubleshooting ui vagrant vitess wasm website

Debezium Blog

Debezium 3.3.0.Alpha2 is out, bringing key fixes and powerful enhancements!

Highlights include heartbeat handling fixes, the ability to start MongoDB streaming from a precise oplog position, faster PostgreSQL TOAST performance, extended TSVECTOR support in the JDBC sink, and improved publication DDL handling in PostgreSQL. The Debezium Platform also gets major usability boosts with clearer error messages, fine-grained UI logging, and better source/destination definitions.

Read More    

Most engineers working in data streaming are not SQL specialists. So you might be asking yourself: What is a CTE? More importantly, what are CTE queries, why are they useful, and how do they help you in the context of Debezium?

In this post, we’ll answer those questions, explore how the Debezium Oracle connector leverages CTE queries, and discuss the benefits and trade-offs involved.

Read More    

Debezium 3.2.1.Final is here — delivering faster performance, smarter resource use, and rock-solid stability for your CDC pipelines. This release brings improved PostgreSQL TOAST handling, native MariaDB vector data type support, and major Oracle LogMiner resilience improvements, all designed to keep your data flowing smoothly and efficiently.

Read More    

When I started working on Debezium, two questions came to mind: Is it possible to build a native version of Debezium? Can I receive change data capture (CDC) events directly inside my microservice without relying on additional infrastructure?

This led us to work on a new Debezium stream: I’m excited to announce the first release of Debezium Extensions for Quarkus!

Read More    

Debezium 3.3.0.Alpha1 introduces an exciting wave of innovation, including exactly-once semantics for core connectors and a brand new CockroachDB connector led by the community. Featuring support for emerging data types, deeper Quarkus integration, and enhanced tooling, this release raises the bar for modern change data capture solutions. Ready to see what’s new? Let’s dive in.

Read More    
×