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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:

datastore datastore

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