Build the data pipes to connect not just user events, but all your data.
Define workflows in code.
Author all standard or custom data pipelines in Python for maintenance, versioning, portability, extensibility and collaboration.
Build scheduled, dependency-based data pipelines to centralize and route data from any source to any destination.
Fuel data warehousing, ETL, analytics, experimentation, targeting, sessionization, data infrastructure maintenance and more.