Unified Batch and Streaming Data Pipeline with Python API

A Python data processing framework that allows engineers to write transformations once and execute them in both batch and streaming modes, with automatic scaling, state management, and integration with modern data warehouses.

Pathway (63K stars) demonstrates massive adoption for unified batch/streaming. Data teams report maintaining 2-3x redundant logic across batch and streaming pipelines. The convergence of real-time AI has (RAG, recommendations) with batch analytics creates urgent demand for unified processing that traditional tools cannot satisfy.

Data engineers and ML engineers at companies needing both batch analytics and real-time features

Companies with 3+ data engineers maintaining both batch and streaming pipelines ($50K+/month data infrastructure spend)