Publish your data for consumers to use directly

Collaborate with other data engineers by subscribing to their data

Automatically trigger refresh of data with dependencies

Use built-in connectors to load data from external sources or export data to external destinations

Leverage the Python ecosystem for data processing and transformations

Debug complex data problems through lineage, provenance and full reproducibility of every operation

Implement data models to make source data easier to consume

Implement data quality checks to guarantee correctness

Monitor data usage and improve consumption metrics