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Stream Processing
Distributed Event Streaming Platform
★ 4.8
Event-Driven API Gateway
★ 3.7
pip install confluent-kafkaN/A — Java-based gatewaypip install confluent-kafkaN/A — Java-based gatewayPython data engineers use `confluent-kafka-python` or `kafka-python` to produce events to topics and consume them in real-time. A common pattern is a Faust or plain consumer loop that reads messages, transforms them with pandas or Pydantic, and writes results to a database or another topic. Kafka is the backbone of event-driven data architectures in Python shops.
Python data engineers use Zilla to give non-Kafka consumers HTTP-based access to Kafka data — a Python REST client can read from or write to a Kafka topic without the Kafka client library. This simplifies event-driven microservice architectures where lightweight Python services need to participate in a Kafka-based pipeline without managing consumer group offsets.
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