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Data Ingestion
Open-Source Change Data Capture Platform
★ 4.7
Stream Storage System
★ 3.7
N/A — Java-based Kafka connectorpip install pravega-clientN/A — Java-based Kafka connectorpip install pravega-clientPython data engineers typically run Debezium as the CDC producer and write Python consumers of the change streams it generates. After deploying Debezium connectors via Docker Compose or Kubernetes, Python services consume CDC events from Kafka topics using confluent-kafka or kafka-python — receiving full before/after row images for every database change, which are then written as Parquet to S3 or applied as upserts to a data warehouse. For teams without Kafka, Debezium Server sinks directly to AWS Kinesis or Redis Streams, both of which have first-class Python client libraries (boto3, redis-py), keeping the Python integration straightforward.
Python data engineers use the `pravega-grpc-gateway` or Python client to produce durable event streams to Pravega. Unlike Kafka, Pravega retains streams indefinitely with cost-tiered storage — Python pipelines use this for event sourcing architectures where the full history of events must be replayable for reprocessing after logic changes.
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