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
Represent a wide range of data artifacts and relationships among them using a generic data model
Seamless Integration
Integrate with any data tools and platforms regardless of their capabilities of built-in meta-data instrumentation.
Open Source
Run your own instance by downloading the latest Docker container.
Designed for the Cloud
Supports AWS Glue, LakeFormation, Athena, EMR and Redshift.Also supports Google Cloud Storage, DataProc and BigQuery