Building event-driven applications the easy way in Go.
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Building event-driven applications the easy way in Go.
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.
🦀 event stream processing for developers to collect and transform data in motion to power responsive data intensive applications.
Canonical actor model implementation for .NET with local + distributed actors in C# and F#.
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.
Fancy stream processing made operationally mundane. This repository is a fork of the original project before the license was changed.
Probabilistic data structures for processing continuous, unbounded streams.
A Python stream processing engine modeled after Yahoo! Pipes
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.
Build platforms that flexibly mix SQL, batch, and stream processing paradigms
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.
Amazon Kinesis Aggregators provides a simple way to create real time aggregations of data on Amazon Kinesis.
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
Sliding-window and regular top-K sketches, based on HeavyKeeper