This table outlines the compatibility of various datasources with quality. Use this information to identify supported quality features by datasource.
| Datasource | Quality access and execution | ||||||
|---|---|---|---|---|---|---|---|
| Deployment Method | Pipeline Engine | Sample Generation | Run Default Rules | Run Custom Rules | Run Data Quality Pipelines | Triggered cataloging on quality pipeline execution | |
| Amazon S3 | On-premise | Precisely Agent | Yes | Yes | Yes | Yes | Yes |
| BigQuery | Cloud | GCP | Yes | Yes | Yes | Yes | Yes |
| Databricks | Cloud | Spark in Databricks | Yes | Yes | Yes | Yes | Yes |
| Databricks | On-premise | Spark in Databricks | Yes | Yes | Yes | Yes | Yes |
| Snowflake | Cloud | Snowpark | Yes | Yes | Yes | Yes | Yes |
| Snowflake | On-premise | Snowpark | Yes | Yes | Yes | Yes | Yes |
| Microsoft SQL Server | On-premise | Precisely Agent | Yes | Yes | Yes | Yes | Yes |
| Oracle | On-premise | Precisely Agent | Yes | Yes | Yes | Yes | Yes |
| Azure SQL Server | On-premise | Precisely Agent | Yes | Yes | Yes | Yes | Yes |
| Microsoft Azure Synapse Analytics | On-premise | Precisely Agent | Yes | Yes | Yes | Yes | Yes |
| PostgreSQL | On-premise | Precisely Agent | Yes | Yes | Yes | Yes | Yes |
| SAP Hana | On-premise | Precisely Agent | Yes | Yes | Yes | Yes | Yes |
For more information, see Supported datasources.
This documentation directs you to step-by-step instructions,
including necessary parameters, and connection settings for each
datasource.
Note:
- Quality supports cross-connection (Oracle & SQL Server) for datasources in on-premise deployment on an Agent.
- Quality enables cross-connection within the same account across cloud environments for Snowflake and Databricks platforms.