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 |