Pathway is a Python framework and streaming database for building real-time data processing applications that continuously ingest, join, and analyze changing data from multiple sources.
Pathway is a real-time data processing engine designed for building applications that depend on continuously changing data. It ingests streams and batches from sources such as Kafka, message queues, databases, APIs, and files, then maintains a live, queryable view of that data. The platform combines streaming and incremental computation with a relational, SQL-like model, allowing developers to define transformations, joins, aggregations, and enrichment logic that automatically update as new events arrive.
A core capability of Pathway is stateful stream processing with strong consistency guarantees, enabling complex event processing, anomaly detection, and time-based analytics. It supports building low-latency pipelines for use cases like fraud detection, logistics tracking, personalization, monitoring, and operational dashboards. Developers can define logic in Python, integrate with existing data infrastructure, and deploy to production with built-in fault tolerance and recovery.
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