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Stream Processing
Distributed Stream Processing Framework
★ 4.0
Python ETL for Real-Time Data
★ 4.3
N/A — Java-basedpip install pathwayN/A — Java-basedpip install pathwayPython data engineers interact with Apache Samza primarily through its REST API or by bridging Python logic into Samza jobs via subprocess calls. More commonly, Python pipelines produce events to Kafka topics that Samza jobs consume for stateful aggregation — Python handles data ingestion and enrichment while Samza manages low-latency stateful stream processing at scale.
Python data engineers use Pathway to write streaming pipelines in pure Python without learning a separate API — the DataFrame-like operators (filter, join, groupby, reduce) work identically on both batch files and live Kafka streams. Pathway is particularly suited for real-time feature engineering pipelines that need to update model inputs as new events arrive.
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