Show HN: Timeplus Proton 3.0 – First vectorized streaming SQL engine
github.comTwo 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.
Very nice, curious to see new use cases with the UDFs!
Thanks, yes, that is something I am exploring with our customers, and please share with me your idea as well.
Release notes here:
https://docs.timeplus.com/enterprise-v3.0
Congrats on the major release! And good to see Redpanda mentioned as a first-class citizen with a native connector!
redpanda was in our radar back to 2022, it is still the first choice to make low latency streaming processing partner with Timeplus https://www.timeplus.com/post/realizing-low-latency-streamin...
Redpanda + Timeplus, the perfect pair for data streaming developers. No JVM, ZK ...
Probably the smallest yet most powerful binary for real-time, incremental SQL data processing, end to end!
a single binary is nice, but how to scale?
here is the overview of the Timeplus Cluster https://docs.timeplus.com/cluster#overview
basically all the cluster nodes are deployed with the same binary with extra configurations.
amazing.. congrats on the release, excited to upgrade