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Available Datastore Connectors

Qualytics provides verified connectors to integrate with your data platforms — JDBC connectors for relational databases and DFS connectors for distributed file systems and cloud object storage.

Each connector page contains step-by-step instructions for adding a source datastore and configuring connection properties.

Enrichment Support

Want to check which connectors can be used as enrichment datastores? See the Supported Enrichment Datastores page.

JDBC Connectors

JDBC (Java Database Connectivity) connectors allow Qualytics to connect to relational databases. Data is organized as Tables in a Schema and accessed using standard SQL.

Multi-Schema Discovery

The Multi-Schema Discovery column indicates whether the connector supports discovering and creating multiple datastores from different schemas in a single operation. See the Multiple-Schema documentation for details.

No. Connector Logo Multi-Schema Discovery
1. Amazon Redshift Redshift
2. Athena Athena
3. BigQuery BigQuery
4. Databricks Databricks
5. DB2 DB2
6. Dremio Dremio
7. Fabric Analytics Fabric
8. Hive Hive
9. MariaDB MariaDB
10. Microsoft SQL Server SQL Server
11. MySQL MySQL
12. Oracle Oracle
13. PostgreSQL PostgreSQL
14. Presto Presto
15. Snowflake Snowflake
16. Synapse Synapse
17. Teradata Teradata
18. Timescale DB Timescale
19. Trino Trino

DFS Connectors

DFS (Distributed File System) connectors allow Qualytics to connect to cloud object storage and distributed file systems. Data is organized as Files in a Folder and supports formats like AVRO, Parquet, CSV, and JSON.

No. Connector Logo
1. Amazon S3 S3
2. Azure Datalake Storage (ABFS) ABFS
3. Google Cloud Storage GCS