DuckDB for Kafka Stream Processing
Hello Everyone! We built SQLFlow as a lightweight stream processing engine. We leverage DuckDB as the stream processing engine, which gives SQLFlow the ability to process 10's of thousands of messages a second using ~250MiB of memory! DuckDB also supports a rich ecosystem of sinks and connectors! https://sql-flow.com/docs/category/tutorials/ https://github.com/turbolytics/sql-flow We were tired of running JVM's for simple stream processing, and also of bespoke one off stream processors I would love your feedback, criticisms and/or…
In plain words
SQLFlow is a lightweight stream processing engine for Kafka that uses DuckDB to process tens of thousands of messages per second while consuming approximately 250MB of memory. It is designed for developers who need stream processing capabilities without running resource-heavy Java virtual machines. The tool offers a rich ecosystem of sinks and connectors for flexible data pipeline integration.
written from the facts on this page · September 2026
From the sources
In the maker’s words, at launch
Hello Everyone! We built SQLFlow as a lightweight stream processing engine. We leverage DuckDB as the stream processing engine, which gives SQLFlow the ability to process 10's of thousands of messages a second using ~250MiB of memory! DuckDB also supports a rich ecosystem of sinks and connectors! https://sql-flow.com/docs/category/tutorials/ https://github.com/turbolytics/sql-flow We were tired of running JVM's for simple stream processing, and also of bespoke one off stream processors I would love your feedback, criticisms and/or experiences! Thank you
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