Supported Enrichment Datastores
Qualytics supports enrichment datastore connectors that help enhance data discovery, profiling, and quality checks. Some connectors include enrichment capabilities, while others provide only standard connectivity.
In this guide, we will cover:
JDBC Connectors
The table below shows the list of JDBC connectors and whether they support enrichment or not:
| No. | Connector | Enrichment Support |
|---|---|---|
| 01. | Athena | ❌ |
| 02. | Big Query | ✅ |
| 03. | Databricks | ✅ |
| 04. | DB2 | ✅ |
| 05. | Dremio | ❌ |
| 06. | Hive | ❌ |
| 07. | MariaDB | ✅ |
| 08. | Microsoft SQL Server | ✅ |
| 09. | MySQL | ✅ |
| 10. | Oracle | ❌ |
| 11. | PostgreSQL | ✅ |
| 12. | Presto | ❌ |
| 13. | Redshift | ✅ |
| 14. | Snowflake | ✅ |
| 15. | Synapse | ✅ |
| 16. | Teradata | ❌ |
| 17. | TimescaleDB | ❌ |
| 18. | Trino | ✅ |
DFS Connectors
The table below shows the list of DFS connectors and whether they support enrichment or not:
| No. | Connector | Enrichment Support |
|---|---|---|
| 01. | Amazon S3 | ✅ |
| 02. | Azure Datalake Storage (ABFS) | ✅ |
| 03. | Google Cloud Storage (GCS) | ✅ |