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.
tingfirst•10h ago
rainmaker11•9h ago
gangtao•9h ago
basically all the cluster nodes are deployed with the same binary with extra configurations.