20k

Pathway: streaming and simplicity by design.

The simplest way to do AI on live data.

When is Pathway Relevant for You?

  • Need real-time insights and anomaly detection from constantly changing data?
  • Looking to simplify or reduce the cost of your data pipeline?
  • Want to automate document processing with machine learning and Large Language Models (LLMs)?
  • Your team wastes too much time searching internal documentation?
  • Want to deliver personalized, real-time assistance to your users?

Pathway is a high-performance solution for real-time insights, anomaly detection, and automation. It unifies batch and streaming pipelines, reducing costs and ensuring 24/7 reliability. With its LLM-powered tooling, it streamlines document processing and enhances searchability through real-time indexing. Pathway also enables AI-driven chatbots for personalized, context-aware user support.

Pathway transforms how businesses handle data by combining real-time processing, AI-driven insights, and seamless automation in a single platform. By delivering actionable insights in real-time, Pathway is a game-changer for organizations and helps them to unlock the full potential of their data.

Pathway's unique focus on Live AI is particularly relevant for organizations that:

  • Are seeking to move beyond static AI models and into a future where AI systems continuously learn and adapt.
  • Have a need to process large volumes of data from diverse sources (300+ supported connectors) in real time.
  • Want to unlock the value of Generative AI in a practical and reliable way, with a clear ROI.

Pathway's user-friendly framework and vibrant open-source community make it accessible to both developers and enterprises alike. Whether you're building a simple question-answering application or a complex, market-disrupting AI solution, Pathway provides the tools and infrastructure you need to succeed.

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  • You want to set up a streaming pipeline but don't know where to start?
  • Struggling with Flink?
  • Need metrics and updates in real-time?
  • Struggling to combine batch and streaming pipelines?
  • Having a hard time with delayed or out-of-order data?
  • Dealing with shattered and heterogeneous data?
  • Seeing data drift ruin your AI models?
  • Struggling with real-time model predictions?

Pathway makes streaming simple with an intuitive Python API, real-time metrics, and seamless batch and streaming integration. It handles delayed, out-of-order data from all you data sources with built-in connectors and advanced functions. Pathway also ensures AI models stay relevant by adapting to data drifts and enabling low-latency real-time predictions.

Pathway Live Data framework is the ideal solution for real-time processing use cases like streaming ETL or RAG pipelines for unstructured data.

Try Pathway Live Data Framework
  • Having a hard time deploying an AI search and/or RAG pipeline?
  • In need of a fully customized AI pipeline?
  • Trying to use LLM/AI to transform your data into insight?
  • Do you need to make your AI pipeline able to react to changes in your data?

Pathway offers ready-to-deploy AI and RAG pipelines that can be customized with YAML configurations or by changing the sources directly. It seamlessly integrates LLMs to extract insights and ensures models stay accurate by dynamically adapting to evolving data.

Pathway's AI Pipelines allow you to quickly put in production AI applications which offer high-accuracy RAG and AI enterprise search at scale using the most up-to-date knowledge available in your data sources. You can test them on your own machine and deploy on-cloud (GCP, AWS, Azure, Render, ...) or on-premises.

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Your Data Journey with Pathway

Data Journey

What's so different about Pathway?

Pathway differentiators

The Reality of Data: Streaming, Not Static

Build for Streaming

Low-latency updates and real-time insights are default, not an afterthought.
Pathway is live by design.

All data is inherently streaming. What we often perceive as "static data" is merely a snapshot—an isolated moment captured from a continuous flow of changes, updates, and events. Real-world data is dynamic: transactions are logged, sensors generate new readings, customer behaviors shift, and systems evolve continuously. Treating data as static means accepting delays, inaccuracies, and an inability to respond to real-time insights.

Pathway is designed with this reality in mind, offering a powerful framework that embraces the streaming nature of data:

  • Core Streaming Engine: At the heart of Pathway lies a robust data processing engine built explicitly for streaming data. It processes information as it flows, ensuring you're always working with the freshest data.
  • Unified Design: Pathway simplifies complexity by allowing you to define your pipeline as if the data were static. No need to grapple with different paradigms—your pipeline is unified, intuitive, and powerful.
  • Real-Time Results: Forget stale dashboards or outdated outputs. With Pathway, your results update in real time, delivering immediate insights as your data changes.
  • AI That Keeps Up: Traditional AI pipelines often suffer from data drift or stale training sets. Pathway ensures your AI models and predictions stay current, reacting to the latest data without missing a beat.

AI and Streaming Made Simple

Simple to the core

Pathway abstracts the hard parts—Indexing, AI, streaming, etc.
Define the pipeline using Pathway's intuitive Python API and let Pathway handle the rest.

Harnessing the power of live data and AI shouldn't be complicated. Pathway is designed to make building, integrating, and deploying streaming and AI pipelines effortless. Here's how Pathway stands out for its simplicity:

  • Intuitive Python API: Pathway fits seamlessly into the Python ecosystem, making it as simple to use as any other Python library. Install it in seconds with a single pip install pathway. Define your pipelines with a clean, declarative programming style. Effortlessly integrate any Python library directly within your Pathway workflows.
  • Seamless Integration: Pathway adopts familiar Python project conventions, so integration into your existing workflows is straightforward. Fully dockerized for easy portability and consistent deployment. Compatible with modern CI/CD pipelines for smooth automation and scalability.
  • Ready-to-Go AI Pipelines: Pathway makes AI pipeline setup a breeze with pre-built tools and flexible deployment options. Start quickly using Pathway's dedicated docker image. BYOL (Bring Your Own License): Deploy your solutions seamlessly on AWS, Azure, or other cloud platforms without restrictions. Simplify configuration with YAML files, reducing repetitive coding and setup time.

Pathway's simplicity ensures you can focus on solving challenges, not wrestling with complexity. From installation and integration to deploying AI pipelines on your preferred cloud, Pathway makes every step intuitive, efficient, and accessible.

Fastest Engine of the Market

The fastest streaming engine of the market.

Pathway is able to match or outperform current state-of-the-art solutions on representative streaming tasks, both in speed and complexity.See the benchmarks

Comparison with Other Solutions

Feature Pathway Apache Flink Kafka Streams Spark Streaming
Pythonic API ✅ ⚠️ Limited ⚠️ Limited Moderate
Real-Time State Feedback ✅ ⚠️ Limited ❌ ❌
Unified Batch & Streaming ✅ ✅ ❌ ✅
Automatic Data Lineage ✅ ⚠️ Limited ❌ ⚠️ Limited
Out-of-Order Event Handling ✅ Built-in Customizable ✅ ⚠️ Limited
ML-Ready Integration Strong Limited Limited Moderate
Resource Efficiency High Moderate Moderate High

You can find more detailed comparisons here with Flink, Kafka Streams, and Spark.

Feature Pathway Cohere LlamaIndex LangChain Haystack DSPy
Cloud-Native and Local Deployment ✅ ❌ ❌ ✅ ✅ ❌
Static and Dynamic data connections ✅ ❌ ✅ (Enterprise version only) ❌ ❌ ❌
Custom document and data ingestion & transformation workflows ✅ ❌ ❌ ❌ ❌ ❌
Over 350 Connectors ✅ ❌ ❌ ❌ ❌ ❌
Build-in VectorDB options ✅ ❌ ✅ ✅ ✅ ✅
Compatible to different LLM models ✅ ❌ ✅ ✅ ✅ ✅
Scales to Millions ✅ ✅ ✅ ❌ ❌ ❌

You can learn more about the comparison between the different RAG frameworks here.

Use Cases

Real-time Analytics

Gain a competitive edge with real-time data insights.

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Real-time ETL

Build real-time data pipelines with ease.

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Document Answering

Effortlessly extract and organize unstructured data from PDFs, docs, and more into SQL tables - in real-time. Answer questions such as:
"What is the net income for Q1 for all companies?"

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PDF to SQL table
Accurate Slides Search

Improved Efficiency: Instantly find specific information with a few keywords or descriptive prompts.

Enhanced Organization: Organize your slide library by topic, project, or other criteria and improve Knowledge management

Enhanced reliability: Automatic updates whenever a new slide is added or removed and improved Accuracy

Try it out

Who use Pathway?

Pathway is trusted by a diverse range of professionals and organizations who need to unlock the full potential of real-time data and AI. Whether you're a data scientist, developer, or enterprise, Pathway simplifies complex workflows and accelerates innovation:

Pathway is designed to empower anyone who works with dynamic, real-time data, from startups to large enterprises, making it the ideal framework for transforming data into actionable insights. Plus, with a vibrant and growing community of over 20k stars on GitHub, Pathway is backed by a collaborative network of users and contributors, ensuring continuous support and innovation.

Live Data FrameworkAI Pipelines

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db-schenker logotype
intel logotype
nato logotype
F1 logotype
la-poste logotype
transdev logotype
cma-cgm logotype
Mazars logotype
CLS logotype