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Tags: Stream processing
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Distributed and fault-tolerant realtime computation: stream processing, continuous computation, distributed RPC, and more

Hazelcast is a unified real-time data platform combining stream processing with a fast data store, allowing customers to act instantly on data-in-motion for real-time insights.

Drop-in Apache Spark replacement written in Rust, unifying batch processing, stream processing, and compute-intensive AI workloads.

Goka is a compact yet powerful distributed stream processing library for Apache Kafka written in Go.

  • goka
  • stream
  • processing
  • kafka

The fastest unified streaming SQL Engine in a single C++ binary. ⚡ Millisecond latency. 100+ GB/s throughput. Continuously compute stateful context from streams, logs, metrics, events, and CDC.