Pathway Live Data Framework
Python framework, powered by a Rust engine, for building streaming ETL, real-time analytics and live LLM/RAG pipelines that stay in sync with 300+ data sources.
About Pathway Live Data Framework
RAG and analytics pipelines go stale when source data changes, and teams often maintain separate batch and streaming stacks plus a separate vector database.
Who it’s for
- Data and ML engineers building RAG or document pipelines that must reflect source changes in real time
- Teams replacing separate batch and streaming jobs with one Python codebase
When to consider it
Consider Pathway when you want the same Python code to handle batch and streaming data, with built-in connectors and an in-memory live vector index for LLM pipelines.
Tradeoffs & limitations
- Distributed under BSL 1.1: free for most production use, but not for offering it as a stream data processing service, and the Community tier is listed as supported up to 8 GB RAM and 4 cores; larger setups need a free or paid Scale licence key or an Enterprise licence. Code converts to Apache 2.0 after four years.
- Self-hosted Python package (Python 3.10+) that runs on macOS and Linux; Windows users need a virtual machine. The free version gives at-least-once consistency, exactly-once requires Enterprise.
SOTA overview · Documentation-based assessment · Sources & review method
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Sources & review method
Documentation-based assessment · Nov 1, 2026 · Prepared with AI assistance; not a hands-on benchmark.
- Pathway Live Data Framework
- Pathway Live Data Framework features and pricing
- Pathway licensing terms
- Pathway on GitHub
Checked by SOTA · AI-assisted documentation review. Selection advice is our assessment; verify current requirements for your deployment.
Import history & original evidence
Pathway Live Data Framework official website
Python framework, powered by a Rust engine, for building streaming ETL, real-time analytics and live LLM/RAG pipelines that stay in sync with 300+ data sources.
Based on official pages and announcements checked on 2026-11-01. No hands-on test, performance benchmark or popularity ranking is claimed.