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Datasources

A datasource is configuration that allows you to connect to a data source. It is a way to connect to a data source and retrieve data from it, store data in it or perform other operations on it. A datasource can be a database, an API, or a file.

Supported Datasources​

Relational Databases​

  • PostgreSQL: Fully supported.
  • MySQL: Coming soon.
  • MSSQL: Coming soon.
  • CockroachDB: Distributed SQL database compatible with PostgreSQL.
  • SQLite: Self-contained, high-reliability, embedded, SQL database engine.
  • Oracle: Multi-model database management system.

NoSQL / Others​

  • MongoDB: NoSQL document database.
  • Firestore: Flexible, scalable database for mobile, web, and server development from Firebase.
  • Neo4j: Graph database management system.

APIs & Services​

  • REST API: Connect to any HTTP/HTTPS endpoint.
  • Stripe: Payment processing platform.
  • Slack: Messaging program specifically designed for output.
  • Twilio: Communication APIs for SMS and Voice.
  • SendGrid: Email delivery service.
  • Notion: All-in-one workspace for notes, tasks, wikis, and databases.
  • Jira: Issue tracking and project management tool.
  • Google Analytics: Web analytics service offered by Google.

Datasource Management​

Datasources can be managed from the Datasources page. You can add, update, delete and test datasources from this page.

1. Add Datasource​

Click on the Add datasource button to add a new datasource. You will be presented with a form to fill in the details of the datasource.

Add Datasource

2. Update Datasource​

Click on the Update button to update an existing datasource. You will be presented with a form to fill in the details of the datasource.

Update Datasource

3. Delete Datasource​

Click on the Delete button to delete an existing datasource.

4. Test Datasource​

Click on the Test button to test the connection to the datasource.