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.
Get in touch for bespoke support for PII Catcher
We can help discover, manage and secure sensitive data in your data warehouse.