Apache Spark - A unified analytics engine for large-scale data processing
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Apache Spark - A unified analytics engine for large-scale data processing
Building event-driven applications the easy way in Go.
Event streaming platform for agentic AI. Continuously ingest, transform, and serve event streams in real time, at scale.
Fancy stream processing made operationally mundane
Fast and Lightweight Logs, Metrics and Traces processor for Linux, BSD, OSX and Windows
The Reactive Extensions for .NET
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.
The live data layer for apps and AI agents. Create up-to-the-second views into your business, just using SQL
Apache KIE (Knowledge Is Everything) is the home of Drools, OptaPlanner, jBPM, and Kogito.
🦀 event stream processing for developers to collect and transform data in motion to power responsive data intensive applications.
Reactive Extensions for the Go language.
Canonical actor model implementation for .NET with local + distributed actors in C# and F#.
Distributed stream processing engine in Rust
A network event stream processing system, in Clojure.
A modular implementation of timely dataflow in Rust
Drop-in Apache Spark replacement written in Rust, unifying batch processing, stream processing, and compute-intensive AI workloads.
An implementation of differential dataflow using timely dataflow on Rust.
StreamAlert is a serverless, realtime data analysis framework which empowers you to ingest, analyze, and alert on data from any environment, using datasources and alerting logic you define.
Concurrent and multi-stage data ingestion and data processing with Elixir
Goka is a compact yet powerful distributed stream processing library for Apache Kafka written in Go.
Project Flogo is an open source ecosystem of opinionated event-driven capabilities to simplify building efficient & modern serverless functions, microservices & edge apps.
Open source framework for processing, monitoring, and alerting on time series data
YTsaurus is a scalable and fault-tolerant open-source big data platform.
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.