# Data Connectors

For data that changes frequently (eg 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](https://docs.rootcause.ai/data-connectors/postgresql), [MySQL](https://docs.rootcause.ai/data-connectors/mysql), [MongoDB](https://docs.rootcause.ai/data-connectors/mongodb)
* **Data Warehouses:** [Snowflake](https://docs.rootcause.ai/data-connectors/snowflake)
* **Cloud Storage:** [Amazon S3](https://docs.rootcause.ai/data-connectors/s3), [Azure Data Lake](https://docs.rootcause.ai/data-connectors/azure-data-lake)
* **APIs:** [REST API](https://docs.rootcause.ai/data-connectors/rest-api), [Google Analytics](https://docs.rootcause.ai/data-connectors/google-analytics)

**To connect a data source:**

1. Navigate to **Data** → **Datasets**
2. Click **New Connection**
3. Select your connector type
4. Enter connection credentials
5. Test the connection to verify it works
6. Import data

(SCREENSHOT: Connector selection grid showing available connector types with icons)