How to connect data sources

Connect your data sources to start building your data trust foundation.

Getting Started with Data Source Connections

Time Required: 5-15 minutes per data source Prerequisites: Admin credentials and network access to your data sources

What You'll Need Before Starting:

Review the specific connector documentation for your data source (see links below):

• Network connectivity (VPC access if needed)

• The right permissions assigned to the credentials you will use

• Connection details (host, port, database names etc. specific to your data source)

If you have any questions or issues with connecting your data sources, please initiate a live chat with us from the bottom right of our app page and we'll get someone to walk you through the connection options.

Recommended Connection Order

🎯 Start Here: We highly recommend connecting your Data Warehouses or Relational Databases first so you can see your tables immediately within Decube's Catalog module.

Why this order?

1. Data Warehouses/Databases → Immediate catalog visibility and data quality monitoring

2. Transformation Tools → Add lineage and pipeline monitoring

3. Business Intelligence → Complete end-to-end data observability

4. Data Lake → File-level governance

Security & Network Access

If your data sources are not publicly accessible, you may need to allow Decube to access your VPC via secure methods:

Enabling VPC AccessIP WhitelistingSSH Tunneling

Below are quick links to each data source we support.

Data Warehouses

• Snowflake

• Redshift

• Google Big Query

• Databricks

• Azure Synapse

• ClickHouse

• Microsoft Fabric

Relational Databases

• PostgreSQL

• MySQL

• SingleStore

• Microsoft SQL Server

• Oracle

• SAP HANA

Transformation tools

• dbt

• dbt Core

• Fivetran

• Airflow

• AWS Glue

• Azure Data Factory

• Apache Spark

• OpenLineage

Business Intelligence

• Tableau

• Looker

• PowerBI

Data Lake

• AWS S3

• Azure Data Lake Storage (ADLS)

• Google Cloud Storage (GCS)

SaaS

• Salesforce