Available Datastore Connectors

Qualytics provides verified connectors to integrate with your data platforms: JDBC connectors for relational databases, native connectors that read a platform's own storage directly, 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 Datastores

Want to check which connectors can be used for enrichment datastores? See the Supported Connectors 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	Multi-Schema Discovery
1.	Amazon Redshift
2.	Athena
3.	BigQuery
4.	Databricks
5.	DB2
6.	Dremio
7.	Fabric Analytics
8.	Hive
9.	MariaDB
10.	Microsoft SQL Server
11.	MySQL
12.	Oracle
13.	PostgreSQL
14.	Presto
15.	SAP HANA
16.	Snowflake
17.	Synapse
18.	Teradata
19.	Timescale DB
20.	Trino

Native Connectors

Native connectors read a platform's own data files directly instead of sending queries to its query engine, which is faster on large tables. Table and partition information still comes from the platform's metadata service.

No.	Connector	Multi-Schema Discovery
1.	AWS Glue Native
2.	Hive Native

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
1.	Amazon S3
2.	Azure Datalake Storage (ABFS)
3.	Google Cloud Storage