Featured Posts

Tags
analytics announcement announcement discussion survey apache kafka apache kafka apicurio avro aws batch caassandra camel cassandra cdc channels community community stories connectors containers cqrs custom data engineering data replication datalake db2 ddd debezium debezium server debezium ui deduplication discussion dlt dlthub docker elasticsearch event sourcing exactly once semantics example examples features fedora flink hiring ibmi iceberg images informix integration introduction jaeger jdbc json kafka kafka streams kafka streams kogito ksql kubernetes lakehouse machine learning mariadb metrics microservices mongo mongodb monitoring mysql news newsletter notifications online learning operator oracle outbox performance postgres presentation production pydbzengine python 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 ui 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