Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.
- batch-processing
- kafka
- pathway
- python
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Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.
Apache Spark - A unified analytics engine for large-scale data processing
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Event streaming platform for agentic AI. Continuously ingest, transform, and serve event streams in real time, at scale.
Fancy stream processing made operationally mundane
Distributed and fault-tolerant realtime computation: stream processing, continuous computation, distributed RPC, and more
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Fast and Lightweight Logs, Metrics and Traces processor for Linux, BSD, OSX and Windows
Python Stream Processing
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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.
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Apache KIE (Knowledge Is Everything) is the home of Drools, OptaPlanner, jBPM, and Kogito.
🦀 event stream processing for developers to collect and transform data in motion to power responsive data intensive applications.
Reactive Extensions for the Go language.
Canonical actor model implementation for .NET with local + distributed actors in C# and F#.
Distributed stream processing engine in Rust
A network event stream processing system, in Clojure.
Drop-in Apache Spark replacement written in Rust, unifying batch processing, stream processing, and compute-intensive AI workloads.
Ultra-high performance reactive programming
An implementation of differential dataflow using timely dataflow on Rust.
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.
Kubernetes-native platform to run massively parallel data/streaming jobs
Concurrent and multi-stage data ingestion and data processing with Elixir