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.
dbt enables data analysts and engineers to transform their data using the same practices that software engineers use to build applications.
Incremental engine for long horizon agents 🌟 Star if you like it!
Cloud-native OSS search engine for observability
PRQL is a modern language for transforming data — a simple, powerful, pipelined SQL replacement
BullMQ - Message Queue and Batch processing for NodeJS, Python, .NET, Elixir, Rust and PHP based on Redis or PostgreSQL
Event streaming platform for agentic AI. Continuously ingest, transform, and serve event streams in real time, at scale.
The live data layer for apps and AI agents. Create up-to-the-second views into your business, just using SQL
The polyglot queue: Fast and reliable background jobs in Go, Java, JS, Ruby, and Rust on Postgres/SQLite.
🦀 event stream processing for developers to collect and transform data in motion to power responsive data intensive applications.
Apache Iggy: Hyper-Efficient Message Streaming at Laser Speed
Distributed stream processing engine in Rust
Restate is the platform for building resilient applications that tolerate all infrastructure faults w/o the need for a PhD.
Orchestrate end-to-end encryption, cryptographic identities, mutual authentication, and authorization policies between distributed applications – at massive scale.
Blazing-fast, Neuro-symbolic Data-Wrangling toolkit
The open source and enterprise-ready webhooks service 🦀
Fast, Simple and a cost effective tool to replicate data from Postgres to Data Warehouses, Queues and Storage
Kubernetes-native platform to run massively parallel data/streaming jobs
Apache DataFusion Ballista Distributed Query Engine
Python Stream Processing
Object-storage native graph database with branching and typed ontology
Open source security data lake for threat hunting, detection & response, and cybersecurity analytics at petabyte scale on AWS
Open-source ETL/ELT you deploy on your own servers or cloud. Built on DuckDB: no-code/low-code visual pipelines or SQL, 385 components, dbt, CDC, data quality, reverse ETL, lineage, MCP for AI agents. No vendor cloud, no per-row billing.
High performance Rust stream processing engine seamlessly integrates AI capabilities, providing powerful real-time data processing and intelligent analysis.