Feature comparison

Pathway is a scalable framework for stream data processing, in-memory data store, and analytics engine which does all the heavy lifting for you.
Pathway for Enterprise is specially tailored towards end-to-end data processing and real time intelligent analytics. Pathway can be used to build microservices with REST API's and to power SQL Business Intelligence dashboards.
Pathway supports table-like data, time series, IoT messages, event streams, things-in-motion, graphs, and ontologies.

Community EditionEnterprise Edition

Programming API

Python programming API
SQL programming API
Incremental table operations: join, filter, group-by, reduce
Write your own incremental data transformers
Support for incremental Map-Reduce with “apply”
Support for pointer-based data structures: trees, graphs, event streams
Support for compositional code logic
Support for advanced join types, windows, and ranges (more coming soon)
Call external libraries & API's when using Pathway

Stream data processing

True streaming data processing engine
Use the same code logic for real-time streaming and for backfilling
Parallel processing support
Distributed processing on more than one machine

User interaction and debugging

Unified execution engine with two runtime modes: streaming and debug
Debug mode working in Jupyter notebooks
Data table introspection & debugging in streaming mode (coming soon)
Support for human-in-the-loop reactive work setup

Data storage and versioning

Data persistency within Pathway: use Pathway as a database
Queryable historical data snapshots
Adaptive support for hot & cold storage
Support for data schema & code schema versioning (coming soon)

Machine Learning Toolkit (pathway.ml.*)

A library of Pathway data transformation routines, including Machine Learning and algorithms covering multiple types of use and data types.
Classification library (already there, and growing)
Unsupervised learning & clustering library (already there, and growing)
Smart table operations: fuzzy join, fuzzy group by
Graph library (already there, and growing)
Time-series library (coming soon)
Geospatial data library & trajectory mining

Connectors & Automations (pathway.io.*)

Allow Pathway to read raw data from data sources upstream, and push BI-ready insights downstream to frontend and to other systems.
Kafka input & output connectors (also Kafka-compatible: Redpanda,... )
CSV directory input & output connectors (use with Amazon S3,...)
Debezium input connector (PostgreSQL, MySQL, MongoDB,...)
PostgreSQL output connector
REST API for fetching data and computation on demand (coming soon)
Use Pathway as a SQL data source: PostgreSQL-compatible SELECT query support
Connectors for custom messaging formats (MQTT/IoT,...)

Pathway Visual Explorer

A powerful frontend dashboarding tool, used for creating control towers and webs of knowledge, with an end-user experience focused around data exploration.
Visualizing outcomes of queries to Pathway
Exploring interconnected data views, covering tables, charts and maps
Accessible to both non-technical and low-code SQL users
Visual no-code dashboard creator
Support for advanced geospatial visualization: paths, routes, transport processes

Support & Deployment

Custom deployment templates and support from our Team.
Self-hosted setup: run Pathway in your own private cloud
Pathway #DeveloperAssist program ()
Hosted solutions
Pathway Helm Chart models
Kubernetes deployment guides
Support with custom deployment
Solutioning for industry use cases


Free to use subject to BSLCommercial
Run it

Our Architecture Diagram

Pathway architecture diagram