Source Datastore
Qualytics connects to Source Datastore using "Datastores," a framework that enables organizations to:
- Connect with Apache Spark-compatible source datastore.
- Support both traditional databases and modern object storage.
- Profile and monitor structured data across systems.
- Ensure secure and fast access to data.
- Scale data quality operations across platforms.
- Manage data quality centrally across all sources.
These source datastore integrations ensure comprehensive quality management across your entire data landscape, regardless of where your data resides.
Understanding Datastores
A Datastore in Qualytics represents any structured source datastore, such as:
- Relational databases (RDBMS)
- Raw files like CSV, XLSX, JSON, Avro, or Parquet
- Cloud storage platforms like AWS S3, Azure Blob Storage, or GCP Cloud Storage
Qualytics integrates with these source datastores through a layered architecture:
Available Datastores Connector
Qualytics supports a range of source datastores, including but not limited to:
| No. | Source Datastores | Enrichment Support |
|---|---|---|
| 1. | Amazon Redshift | Yes |
| 2. | Amazon S3 | Yes |
| 3. | Athena | No |
| 4. | Azure Datalake Storage (ABFS) | Yes |
| 5. | Big Query | Yes |
| 6. | Databricks | Yes |
| 7. | DB2 | Yes |
| 8. | Dremio | No |
| 9. | Google Cloud Storage | Yes |
| 10. | Hive | No |
| 11. | MariaDB | Yes |
| 12. | Microsoft SQL Server | Yes |
| 13. | MySQL | Yes |
| 14. | Oracle | No |
| 15. | PostgreSQL | Yes |
| 16. | Presto | No |
| 17. | Snowflake | Yes |
| 18. | Synapse | Yes |
| 19. | Teradata | No |
| 20. | Timescale DB | No |
| 21. | Trino | Yes |