Set Up a Data Source

Configure a data source with Zing

Zing is built to query your own data, so you’ll want to set up a data source. While we provide a sample data set to help you get situated, adding your own data source (or sources) will make it possible to start asking questions of your company’s data from your phone or the web.

Adding a Data Source

The easiest way to set up a dataset is from the Zing web console,

  • Once you are logged in, tap data sources then the new data source button.
  • In the modal, select the data source type (such as Postgres, BigQuery, etc.)
  • Enter your database credentials, such as hostname, port, database name, username, and password
  • Press save
  • Zing will validate that your database credentials are valid once you press save and will add the source. It is then available immediately to query. If your credentials are invalid you’ll be prompted to check and resubmit.

You can also add database credentials directly from the Zing web, iOS, and Android apps by tapping the sources tab in the mobile app, then add new data source and following the steps above.

Once a data source as been added, it will immediately be available to all users that you have invited to your organization in the top of their Zing app in the tables section.

Note: You can set up multiple data sources with an organization, even across data source types. Zing will show the tables and views across data sources in the app.

Supported Data Sources

Database Type Supported? Notes
PostgreSQL Yes Zing also supports cloud-hosted versions of this such as Amazon RDS and Google Cloud SQL
mySQL Yes
Snowflake Yes
Google BigQuery Yes Setup only via web app (not mobile app)
Google Sheets Yes
Trino / Presto / Starburst Yes
Amazon Redshift Yes
Microsoft SQL Server Yes Setup only via web app
Azure SQL Yes Setup only via web app
Databricks Yes Setup only via web app

Choosing what tables and views are visible

By default, all tables and views in your database are marked as ‘visible’ (including newly added tables), but you can exclude tables or views from visible and queryable in Zing if you’d like.

This is useful for excluding tables from other people in your organization which might be unnecessary for them (e.g. detailed server logs), or in simplifying the set of tables shown in Zing to be more streamlined.

To turn off tables or views:

  • First connect to your data source.

  • Then you’ll see a ’tables’ list and you can turn on/off all or individual tables/views.

  • Tap ‘Save’

Data Source Security

Two things you should to to ensure your database’s connection to Zing is secure:

  1. Security best practices are to provide Zing read-only access (instead of full access) to your database. Zing doesn’t need write permissions and best security protocols dictate minimizing permissions. You see how to do this on StackOverflow for Postgres and mySQL.

  2. When you make a data source accessible to the internet for Zing to be able to connect, it is best practice to limit the IP addresses that your database server will respond to.

    This ensures that other IP addresses cannot access your database and only authorized IPs (such as Zing) are able to do so.

    Zing’s IP address to whitelist is:

Additionally, if your database supports SSL, you should turn that on.


Configure PostgreSQL with Zing


Configure MySQL with Zing

Google BigQuery

Configure Google BigQuery with Zing Data

Google Cloud SQL

Configure Google Cloud SQL with Zing

Google Sheets

Configure Google Sheets with Zing

Excel, CSVs and JSONs

Import Microsft Excel, Comma Seperated Value and JSON files to Zing


Configure Snowflake as a data source for Zing Data

Trino / Starburst Enterprise / Starburst Galaxy

Configure Starburst-Trino with Zing


Configure Databricks as a data source for Zing Data

Mozart Data

Configure Mozart Data with Zing

Amazon Redshift

Configure Amazon Redshift with Zing

Microsoft SQL Server

Configure MS SQL Server with Zing


Configure Clickhouse with Zing


Configure Amplitude with Zing Data

Google Analytics 4

Configure Google Analytics 4 (GA4) with Zing Data via BigQuery