Adding Datasources

Getting Started with Redash

To get the most out of Redash, we recommend following these 5 steps:

You can browse the different sections in the Help Center for a more in depth review of Redash's functions and how-to's but this guide should get you started easily.

Adding Datasources to Redash

To start using Redash, connect at least one data source (full list )

You can add a new datasource from the quick link at the navigation bar:

Or via the Data Source tab in your admin settings:


If you're using the hosted Redash service, you need to allow access from the IP address in your database firewall/security groups (unless it's publicly available).

We recommend using a user with read only permissions for the database (BigQuery is an exception, read more here

Writing Queries

Once you have at least one data source connected, give it a go and write a query in our comfy query editor.

Click "New Query" on the home page or under the Queries menu in the navigation bar. For detailed instructions about writing queries click here, for query actions and options click here.

If it's your first time using a query editor or if you're unsure about the structure of your schema, you can always explore the schema.

Adding Visualizations

Query results (good old tables) are great but visualizations are even better to digest complex info. Redash supports 9 types of visualizations so you should find one that suits your needs (let us know if something is missing).

Click the "New Visualization" button just above the results or view more detailed instructions here.

Creating Dashboards

Combine visualizations and text into thematic dashboards easily and share them in minutes. You can add a new dashboard via the Dashboard menu (bottom item will be New Dashabord) or via the home screen. For more details, click here.

Invite Colleagues

Redash is better together.

This is only for admins - invite your mates to user Redash to enjoy its collaborative nature.

Users can view others' queries for inspiration (or debugging ;) ), fork them to create similar queries of their own, view and create dashboards and share with other in your team insights vie Email, Slack or HipChat.

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