What is Apache Flink CDC and how does it differ from Debezium?

Flink CDC integrates change data capture directly into Apache Flink pipelines, enabling real-time transformations, aggregations, and joins on CDC events without needing Kafka as an intermediary. It provides exactly-once semantics and tight integration with Flink's streaming capabilities.

Which databases does Flink CDC support?

Flink CDC supports MySQL, PostgreSQL, MongoDB, Oracle, SQL Server, TiDB, OceanBase, and more through its connector ecosystem. We help you choose the right connector and configure it for optimal performance and reliability.

Do you provide end-to-end Flink CDC pipeline setup?

Yes, we design and implement complete Flink CDC pipelines from source database to target sinks (data lakes, warehouses, or other databases), including monitoring, error handling, schema evolution support, and performance tuning.

What is Apache Flink CDC and how does it differ from Debezium?

Flink CDC integrates change data capture directly into Apache Flink pipelines, enabling real-time transformations, aggregations, and joins on CDC events without needing Kafka as an intermediary. It provides exactly-once semantics and tight integration with Flink's streaming capabilities.

Which databases does Flink CDC support?

Flink CDC supports MySQL, PostgreSQL, MongoDB, Oracle, SQL Server, TiDB, OceanBase, and more through its connector ecosystem. We help you choose the right connector and configure it for optimal performance and reliability.

Do you provide end-to-end Flink CDC pipeline setup?

Yes, we design and implement complete Flink CDC pipelines from source database to target sinks (data lakes, warehouses, or other databases), including monitoring, error handling, schema evolution support, and performance tuning.

Apache Flink CDC

Apache Flink CDC Stream Processing Services

In short: Flink CDC is a set of source connectors for Apache Flink that perform change data capture (CDC) - capturing inserts, updates, and deletes directly from database transaction logs. Running on Flink's stateful stream-processing engine, it ingests changes from MySQL, PostgreSQL, Oracle, and MongoDB with exactly-once semantics, then sinks them to data lakes and warehouses.

Build real-time data pipelines with Apache Flink CDC. Stream database changes to data lakes, warehouses, and analytics platforms with ultra-low latency.

Real-time Stream Processing: Process database changes in real-time with Apache Flink's powerful stream processing engine.
Data Lake Integration: Stream changes directly to data lakes with support for Delta Lake, Iceberg, and Hudi.
Warehouse Synchronization: Keep data warehouses in sync with real-time CDC from operational databases.

Stream Processing CDC

Flink CDC Services We Provide

From pipeline design to production deployment, we build scalable real-time CDC solutions.

Real-time Stream Processing: Process database changes in real-time with Apache Flink's powerful stream processing engine.
Data Lake Integration: Stream changes directly to data lakes with support for Delta Lake, Iceberg, and Hudi.
Warehouse Synchronization: Keep data warehouses in sync with real-time CDC from operational databases.
Multi-Source CDC: Capture changes from multiple database sources simultaneously.
Exactly-Once Processing: Guarantee data consistency with exactly-once processing semantics.
Monitoring & Alerting: Comprehensive monitoring with real-time metrics and alerting.