Apache Storm
- storm
- apache
- distributed
- streaming
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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.
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.
A network event stream processing system, in Clojure.
Ruby and Rails efficient Kafka processing framework
Conduit streams data between data stores. Kafka Connect replacement. No JVM required.
Series and Panels for Real-time and Exploratory Analysis of 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)
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.
Small, Fast event processing and monitoring for Erlang/OTP applications.
Haskell distributed stream processing with exactly-once semantics
Scramjet Platform is a distributed runtime supervisor that can run data processing programs called Sequences and manage local resources on any Linux server, Docker on small edge servers, and even large-scale Kubernetes clusters in the cloud or datacenters without exposing network ports to the public internet.
Open-source streaming SQL engine written in Rust using Apache Arrow and DataFusion. Supports continuous queries, temporal stream joins, tumbling/session windows, and CDC/Kafka connectors. Lightweight, embeddable, and sub-microsecond latency
Simple yet powerful live data computation framework.
Python port of Scramjet framework
Simple yet powerful live data computation framework. C++ port of Scramjet framework.