Use Cases

Data Stewards

Provide information such as provenance and usage statistics to help manage security and compliance.

Data Engineers

Trace data quality and impact of changes.

Data Analysts

Self-service analysis to ensure quality of dashboards and reports.

Data Reliability Engineer

Augment monitoring and incident reports of SLAs and data quality.


Features

Flexible

Analyze lineage visually or programmatically in Jupyter Notebooks.

Seamless Integration

Out of the box integration with Snowflake and AWS Redshift.

Open Source

Install from source code, a python package or a Docker Container.

Designed for the Cloud

Designed to be deployed in your account in AWS and GCP.