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.
Event streaming platform for agentic AI. Continuously ingest, transform, and serve event streams in real time, at scale.
🦀 event stream processing for developers to collect and transform data in motion to power responsive data intensive applications.
Ultra-high performance reactive programming
Kubernetes-native platform to run massively parallel data/streaming jobs
High-performance time-series aggregation for PostgreSQL
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.
A lightweight stream processing library for Go
Lightweight data stream processing engine for IoT edge
👜 Tiny and fast reactive/iterable programming library
Python Streaming DataFrames for Kafka
🌊 Continuously synchronize the systems where your data lives, to the systems where you _want_ it to live, by managing your data flows with Estuary. 🌊
Tenzir is the data pipeline engine for security teams.
Apache StreamPipes - A self-service (Industrial) IoT toolbox to enable non-technical users to connect, analyze and explore IoT data streams.
🏎️ Streams & Reactive Programming paradigm for Go: declarative and composable API for event-driven applications
Conduit streams data between data stores. Kafka Connect replacement. No JVM required.
Compositional pipelines
Streaming reactive and dataflow graphs in Python
Series and Panels for Real-time and Exploratory Analysis of Data Streams
Machine is a workflow/pipeline library for processing data