Pathway

Pathway is a Coding & Development tool that provides a post-transformer reasoning architecture for building real-time AI/ML applications and data pipelines. It offers a scalable framework for ETL and AI, supporting both streaming and batch workloads.

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At a glance

Pricing

Freemium · Enterprise · Open Source

Free tier

Yes

API

Yes

Skill level

Technical

About

What is Pathway?

Pathway is a robust and scalable data processing framework designed for building and powering AI/ML applications with live data and real-time pipelines. It features a massively parallel post-Transformer reasoning architecture aimed at solving continual learning and enabling generalization over time. The platform offers high-performance input/output connectors, predefined API connectors to over 300 data sources, and Python/SQL programming APIs. Key capabilities include incremental stream and table operations, advanced join types, and support for user-defined functions. Pathway also provides AI Toolkits for time-series operations, LLM extensions, unstructured data parsing, and advanced data indexing, making it suitable for complex AI pipeline development.

Best used for

Ideal for developers and data scientists who need to build scalable AI/ML applications, manage real-time data pipelines, and integrate diverse data sources. Especially valuable for creating high-accuracy RAG pipelines, performing real-time ETL, and developing solutions for fraud detection or IoT analytics.

Common actions

build AI applications

process real-time data

create data pipelines

integrate data sources

develop RAG systems

Capabilities

Key features

Post-transformer reasoning architecture
Real-time data pipelines
ETL framework
Python/SQL programming APIs
AI Toolkits
Advanced data indexing
Self-hosted deployment

Target Audience

developerdata scientist

Integrations

kafkas3postgresqlredpandalogstashslackgoogle-pubsubsharepoint+ 7 more

Pricing & Plans

Freemium · Enterprise · Open Source

Not publicly disclosed. Check pathway.com for current pricing.

FAQs

What is the Pathway Framework?

The Pathway Framework is a scalable and robust data processing framework designed to build and power AI/ML applications using live data and real-time pipelines. It supports both streaming and batch workloads with the same code logic.

Does Pathway offer a free version?

Yes, Pathway offers a Community tier that is free and open under BSL 1.1. It is self-hosted and supports up to 8 GB RAM and 4 cores, suitable for basic RAG pipelines and ETL tasks.

What kind of data sources can Pathway connect to?

Pathway provides high-performance input/output connectors and predefined API connectors to over 300 data sources, including Kafka, PostgreSQL, S3, Google PubSub, SharePoint, Delta Table, and BigQuery.

What are the key features of Pathway's AI Toolkits?

Pathway's AI Toolkits include libraries for time-series operations, an LLM extension pack, an unstructured data parsing toolkit, and advanced data indexing with vector, BM24, and hybrid methods. It also supports custom indexing and local/API-based ML models.

How does Pathway support RAG pipelines?

Pathway offers flexible plans for RAG pipelines, including a 'Pilot' plan for up to 100,000 indexed pages and 1,000 daily retrievals, and an 'Enterprise Pilot' for up to one million pages. It supports various data sources like Google Drive and SharePoint.

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