Building event-driven applications the easy way in Go.
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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
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
Reactive Extensions for the Go language.
Project Flogo is an open source ecosystem of opinionated event-driven capabilities to simplify building efficient & modern serverless functions, microservices & edge apps.
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.
Fancy stream processing made operationally mundane. This repository is a fork of the original project before the license was changed.
The Feldera Incremental Computation Engine
👜 Tiny and fast reactive/iterable programming library
Probabilistic data structures for processing continuous, unbounded streams.
Distributed Stream Processing
High performance Rust stream processing engine seamlessly integrates AI capabilities, providing powerful real-time data processing and intelligent analysis.
tools for working with streams of data
A compatibility layer for event-driven abstractions
Apache StreamPipes - A self-service (Industrial) IoT toolbox to enable non-technical users to connect, analyze and explore IoT data streams.
HStreamDB is an open-source, cloud-native streaming database for IoT and beyond. Modernize your data stack for real-time applications.
🏎️ Streams & Reactive Programming paradigm for Go: declarative and composable API for event-driven applications
Compositional pipelines
The database purpose-built for stream processing applications.
Reactive queryable observable framework.
Amazon Kinesis Aggregators provides a simple way to create real time aggregations of data on Amazon Kinesis.