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Data Ingestion
Open-Source Change Data Capture Platform
★ 4.7
Event Messaging Platform
★ 3.8
N/A — Java-based Kafka connectorpip install nakadi-clientN/A — Java-based Kafka connectorpip install nakadi-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 Nakadi's HTTP API via the `nakadi-client` Python library to publish domain events from Python microservices without managing Kafka producers directly. The subscription API provides a long-polling endpoint that Python consumers call to receive events in order — with Nakadi managing offset tracking automatically rather than requiring consumer group configuration.
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