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
Apache Flink
Event streaming platform for agentic AI. Continuously ingest, transform, and serve event streams in real time, at scale.
Distributed and fault-tolerant realtime computation: stream processing, continuous computation, distributed RPC, and more
Apache Beam is a unified programming model for Batch and Streaming data processing.
Apache Storm
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.
Apache KIE (Knowledge Is Everything) is the home of Drools, OptaPlanner, jBPM, and Kogito.
Ultra-high performance reactive programming
👜 Tiny and fast reactive/iterable programming library
Stream Processing and Complex Event Processing Engine
A platform that makes it easy for developers to build realtime, cost-effective, operations-focused applications
Esper Complex Event Processing, Streaming SQL and Event Series Analysis
Mirror of Apache Samza
Apache StreamPipes - A self-service (Industrial) IoT toolbox to enable non-technical users to connect, analyze and explore IoT data streams.
The database purpose-built for stream processing applications.
A streaming / online query processing / analytics engine based on Apache Storm
Mirror of Apache Samoa (Incubating)
A lightweight Reactive Streams Infrastructure Toolkit for Scala.
Reactive queryable observable framework.
Amazon Kinesis Aggregators provides a simple way to create real time aggregations of data on Amazon Kinesis.
Real-time decision features without streaming infra. Turn live events into product reflexes — no Kafka, no Flink, no feature store.
Stream Ops is a fully embeddable data streaming engine and stream processing API for Java.
Window-Based Hybrid CPU/GPU Stream Processing Engine