AutoMQ - A Cost-Effective Kafka Distro That Can Autoscale in Seconds
In plain words
AutoMQ is a Kafka distribution designed for teams needing message streaming infrastructure that automatically scales within seconds. Built for developers and operations teams working with Apache Kafka, it focuses on cost efficiency and reducing manual scaling overhead. The project is open source and available on GitHub, making it accessible for organizations looking to optimize their Kafka deployments without extensive infrastructure management.
written from the facts on this page · September 2026
Does the same job
all alternatives →- A1AutoMQ 1.5.0 released, providing native Iceberg support for Kafka2025 · github.com · ▲9
AutoMQ is a fully open-source, next-generation Kafka built on top of S3. Version 1.5.0 is a very important release. In March of this year, Confluent officially launched the commercial capability of Tableflow. Now, with the AutoMQ open-source software, you can also experience this killer feature. Simply put, for Kafka streaming data, AutoMQ can automatically store it in S3 in Iceberg Table format, so you no longer need to manage Flink Jobs and Spark Jobs yourself to perform ETL operations and convert Kafka data into table format. We believe this will be the new paradigm for Kafka stream data…
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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…
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