Source

Integrate Postgres CDC with Quix

Process Postgres CDC data with Quix

Quix allows you to consume and process data from Postgres CDC, enabling anyone to build, deploy and scale advanced data processing systems with minimal low level knowledge

100% Python

No JVM, wrappers, DSL, or cross-language debugging. Quix provides a Python Streaming DataFrame API that treats data streams as continuously updating tables.

Rich stream processing features

Quix supports stateless and stateful operations, aggregations over hopping and tumbling windows, custom data processing functions, and exactly-once semantics.

Dependable at scale

Quix is scalable, highly available, and fault tolerant. It's optimized to process high-volume, high-velocity data streams with consistently low latencies.

How to consume Postgres CDC data with Quix

The Postgres CDC integration gathers change data capture events from PostgreSQL databases, monitoring data changes in real-time for replication, caching, and event-driven applications

Quix is the Python stream processor, and it serves the following purposes:

  • Ingest messages from Postgres CDC
  • Process received messages
  • Send transformed data to destination systems (via Quix integrations) so it can be operationalized
  • Use data received from Postgres CDC to power real-time capabilities

To deploy this integration and start processing your data:

  • Login to Quix
  • Navigate to Connectors
  • Locate the tile for this integration
  • Provide the required details
  • Click Test connection and deploy