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 Edition | Enterprise 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 | ||
Licensing | Free to use subject to BSL | Commercial |
| Run it |
Our Architecture Diagram
