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Show HN: Timeplus Proton 3.0 – First vectorized streaming SQL engine (github.com)

11 points by gangtao ↗ HN
Two years after open sourcing Proton, we're releasing v3.0 which brings enterprise-grade streaming capabilities to the open source version: full connectivity, processing, and routing in a single binary with zero dependencies.

Key features:

First vectorized streaming SQL engine in modern C++ with JIT compilation

High-throughput, low-latency, high-cardinality processing End-to-end streaming: ETL, joins, aggregation, alerts, and tasks

Native connectors: Kafka, Redpanda, Pulsar, ClickHouse, Splunk, Elastic, MongoDB, S3, Iceberg

Native Python UDF/UDAF support to support your AI/ML work loads

The same performance we've proven in large enterprise deployments is now available in the community edition.

Would love feedback from anyone working with streaming data or looking for Flink/ksqlDB alternatives.

8 comments

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tingfirst
Probably the smallest yet most powerful binary for real-time, incremental SQL data processing, end to end!
rainmaker11
a single binary is nice, but how to scale?
renatomefi
Very nice, curious to see new use cases with the UDFs!
PeterCorless
Congrats on the major release! And good to see Redpanda mentioned as a first-class citizen with a native connector!
carverauto
amazing.. congrats on the release, excited to upgrade
jan-siekierski
Love the object storage features!

Built-in S3-based stream storage solves the problem of running separate Stream Processing and Stream Storage solutions and builds on Proton's simplicity.

S3-based state checkpoints as well, both features synergize really well with Proton's strengths.

Congrats on this release and I hope I see more from you soon!

edit: oops I've read the Timeplus release notes that Peter linked, not Proton. Which of the listed features are new in Proton 3.0?

Sep142324
Hi! You can find the detailed differences here: https://docs.timeplus.com/proton-oss-vs-enterprise

In short, Proton focuses on simplicity — it’s a single-instance engine powerful enough for most common streaming and analytics workflows.

Features like clustering, mutable streams, and S3-based stream storage/state checkpoints are part of the enterprise edition, while Proton keeps the core performance and streaming capabilities in an open-source form.