Quix vs ksqlDB

The pure Python ksqlDB alternative

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Inside the product

Why Quix?

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Work in Python from start to finish

Experience a truly unified approach that keeps you in the Python ecosystem throughout the entire development process. Move seamlessly from data exploration in Jupyter notebooks to production-ready code, without tedious language conversions.

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Do faster feature engineering

Say goodbye to UDFs and SQL-Python mashups. Write sophisticated processing functions purely in Python using any ML or data science library you like. Optimize performance with unlimited vertical and horizontal scaling with no fixed limit on the number of processes.

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Integrate ML models more efficiently

Eliminate the need to run your ML models behind REST APIs or in UDFs. Deploy ML models with the same one-click workflow as your feature calculation functions and run your ML models in the same environment as the rest of your pipeline.

Quix vs ksqlDB

Native integration to any Kafka
Pure Python for creating, producing and consuming streams
Full control over your logic
Ability to integrate any external Python library like Pandas and NumPy
Ability to move seamlessly from Jupyter to application code
Performant and fault-tolerant checkpointing for fast failure recovery
Fast shuffle sorting and data partitioning
Ability to use a custom state store for stateful processing

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