Freemium
Leading digital analytics platform for product insights and customer journey analytics
analyticsproduct analyticscustomer insights
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Pricing
Freemium
Use cases
Data engineers building real-time ETL pipelines to process live data streams from sources like Kafka and S3 (verified: 2026-01-29)., AI developers implementing high-accuracy RAG pipelines for document search and social media sentiment analysis (verified: 2026-01-29)., System architects deploying log monitoring solutions that require sub-millisecond latency for serving real-time query features (verified: 2026-01-29).
Strengths
The framework provides high-performance input and output connectors for cloud file systems, databases, and over 300 predefined API data sources (verified: 2026-01-29)., Users develop applications using a Python programming API that includes a Table API for building and powering AI/ML applications (verified: 2026-01-29)., The system supports deployment on AWS, Azure, and GCP via standard packaging tools including pip, poetry, and Docker containers (verified: 2026-01-29).
Limitations
The Community tier restricts hardware usage to a maximum of 8 GB RAM and 4 CPU cores for self-hosted installations (verified: 2026-01-29)., Access to enterprise data source connectors for Sharepoint, Delta Table, and BigQuery requires a paid license key or enterprise subscription (verified: 2026-01-29).
Last verified
Jan 29, 2026
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Strengths
- The framework provides high-performance input and output connectors for cloud file systems, databases, and over 300 predefined API data sources (verified: 2026-01-29).
- Users develop applications using a Python programming API that includes a Table API for building and powering AI/ML applications (verified: 2026-01-29).
- The system supports deployment on AWS, Azure, and GCP via standard packaging tools including pip, poetry, and Docker containers (verified: 2026-01-29).
Limitations
- The Community tier restricts hardware usage to a maximum of 8 GB RAM and 4 CPU cores for self-hosted installations (verified: 2026-01-29).
- Access to enterprise data source connectors for Sharepoint, Delta Table, and BigQuery requires a paid license key or enterprise subscription (verified: 2026-01-29).
FAQ
What are the hardware limitations for users running the free Community version of the Pathway framework?
The Community tier of Pathway limits hardware usage to 8 GB of RAM and 4 CPU cores. This version is available as a self-hosted installation under the BSL 1.1 license and deploys using pip, poetry, or Docker on major cloud providers (verified: 2026-01-29).
Which specific data connectors and integrations are available for enterprise-level data processing and monitoring?
Enterprise users access specialized connectors for Sharepoint, Delta Table, Iceberg, BigQuery, and Elastic Search. Additionally, the platform provides monitoring and traces through OpenTelemetry compatibility and Grafana integration for monitored instances (verified: 2026-01-29).
How does the framework handle real-time data serving for AI and machine learning applications?
Pathway includes a REST API endpoint for serving query and answer features with sub-millisecond latency. This architecture allows developers to power AI/ML applications with live data and real-time pipelines using a Python-based Table API (verified: 2026-01-29).
