AutoMQ Kafka
Serverless Kafka solution that is more scalable and cheaper
AutoMQ Kafka launched on March 8, 2024 with 13 votes, #1,334 of 4,270 launches that month and more than 50% of that year's launches. The site was still online in September 2026, 2 years on.
What it does
AutoMQ is a S3 based serverless reinvented Kafka that is easily scalable,cost-effective: shared storage,100% compatible with Kafka,move partition without replication, 10x cheaper than Kafka.
Diskless Kafka® on S3. 10x Cost-Effective. No Cross-AZ Traffic Cost. Autoscale in seconds. Single-digit ms latency. Multi-AZ Availability. - AutoMQ/automq
Does a similar job
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AutoMQ - A Cost-Effective Kafka Distro That Can Autoscale in Seconds2024 · github.com · ▲58Diskless Kafka® on S3. 10x Cost-Effective. No Cross-AZ Traffic Cost. Autoscale in seconds. Single-digit ms latency. Multi-AZ Availability. - AutoMQ/automq
AutoMQ 1.5.0 released, providing native Iceberg support for Kafka2025 · github.com · ▲9AutoMQ 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…
Walrus – a Kafka alternative written in RustDec 2025 · github.com · ▲160🦭 Distributed log streaming engine built from first principles - nubskr/walrus
KQ – Simple Job Queue for Python Using Kafka2016 · github.com · ▲116Kafka-based Job Queue for Python. Contribute to joowani/kq development by creating an account on GitHub.
StreamHouse – S3-native Kafka alternative written in RustFeb 2026 · github.com · ▲10Hey HN, I built StreamHouse, an open-source streaming platform that replaces Kafka's broker-managed storage with direct S3 writes. The goal: same semantics, fraction of the cost. How it works: Producers batch and compress records, a stateless server manages partition routing and metadata (SQLite for dev, PostgreSQL for prod), and segments land directly in S3. Consumers read from S3 with a local segment cache. No broker disks to manage, no replication factor to tune — S3 gives you 11 nines of durability out of the box. What's there today: - Producer API with batching, LZ4 compression, and…
An SQS Alternative on Postgres2024 · github.com · ▲241A lightweight message queue. Like AWS SQS and RSMQ but on Postgres. - pgmq/pgmq
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