Apache Storm
- storm
- apache
- distributed
- streaming
Repository Index
47,133 repositories indexed
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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.
- java
- hazelcast
- in-memory
- big-data
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.
- rule-engine
- java
- dmn
- hacktoberfest
Asynchronous Python framework for event-driven services. A thin client for Kafka, RabbitMQ, NATS, Redis and MQTT with full access to native broker features, plus AsyncAPI docs, in-memory tests and observability out of the box.
🦀 event stream processing for developers to collect and transform data in motion to power responsive data intensive applications.
- cloud-native
- streaming
- rust
- real-time
Distributed stream processing engine in Rust
A network event stream processing system, in Clojure.
- riemann
- events
- clojure
- monitoring
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.
- security
- kinesis
- serverless
- terraform
Kubernetes-native platform to run massively parallel data/streaming jobs
- kubernetes
- stream-processing
- data-processing
- k8s
Project Flogo is an open source ecosystem of opinionated event-driven capabilities to simplify building efficient & modern serverless functions, microservices & edge apps.
- flogo
- iot
- integration
- golang
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.
- clickhouse
- kakfa
- sql
- redpanda
Ruby and Rails efficient Kafka processing framework
- karafka-framework
- kafka
- kafka-client
- kafka-clients
Lightweight data stream processing engine for IoT edge
A platform that makes it easy for developers to build realtime, cost-effective, operations-focused applications
High performance Rust stream processing engine seamlessly integrates AI capabilities, providing powerful real-time data processing and intelligent analysis.
- flow
- rust
- rust-lang
- stream
tools for working with streams of data
🌊 Continuously synchronize the systems where your data lives, to the systems where you _want_ it to live, by managing your data flows with Estuary. 🌊
- change-data-capture
- data
- data-collection
- data-engineering
Tenzir is the data pipeline engine for security teams.
- incident-response
- threathunting
- siem
- soc
Apache StreamPipes - A self-service (Industrial) IoT toolbox to enable non-technical users to connect, analyze and explore IoT data streams.
Low-code tool for automating actions on real time data | Stream processing for the users.
- flink
- flink-kafka
- apache-flink
- gui
Conduit streams data between data stores. Kafka Connect replacement. No JVM required.
- go
- data-integration
- etl
- data-pipeline
Series and Panels for Real-time and Exploratory Analysis of Data Streams
- time-series
- real-time
- data-stream
- series-manipulation
A stream processing framework to build stateless applications on Kafka
- kafka-streams
- clojure
- framework