Data Connectors

For data that changes frequently — sales transactions, user events, operational metrics — file uploads become tedious. Data connectors solve this by establishing a live link to your source systems.

Once connected, you can refresh data on demand or schedule automatic syncs. Your analyses stay current without manual intervention.

Available connectors:

• Databases: PostgreSQL, MySQL, MongoDB

• Data Warehouses: Snowflake (Beta)

• Cloud Storage: Amazon S3, Azure Data Lake

• APIs: REST API, Google Analytics

Coming soon: BigQuery, Azure Synapse, Databricks

To connect a data source:

1. Navigate to Data → Datasets and click + Import Data Sources

2. In the Import Manager, locate the connector type and click Setup

3. Enter connection credentials

4. Configure a sync schedule and save

The import manager. Select a connector type to begin the connection setup.

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Next steps

Once your data is connected:

1. Create a Data View to transform and combine your datasets

2. Tag columns with Ontology Concepts to link related data across sources

3. Build a Digital Twin using your prepared Data View