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Stream Processing
Streaming Database for IoT
★ 3.6
Distributed Event Streaming Platform
★ 4.8
pip install hstreamdbpip install confluent-kafkapip install hstreamdbpip install confluent-kafkaPython data engineers use the `hstreamdb` Python client to produce and consume events from HStreamDB streams in IoT and real-time analytics pipelines. SQL subscriptions let Python consumers receive only the records matching a filter condition, reducing the amount of data the Python processor needs to handle and filter client-side.
Python 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.
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