How to connect a Data Source
How to connect a native Data Source
By connecting your Data Source to Databox, you are establishing a connection between the Data Source's API and the Databox system. This allows Databox to start making regular data syncs to keep your Databox reports up-to-date. View the full list of integrated Data Sources here.
How to connect a custom Data Source
If a native integration to your Data Source is not available, your first step should be to submit a Data Source request. These requests are tracked and help determine the prioritization of the development of new Data Source integrations.
Below are 4 ways to report on data from a Data Source that is not yet integrated with Databox.
IN THIS SECTION
The Google Sheets Data Source allows you to store and sync custom data with Databox. You can manually update a Google Sheet with your data, or you can set up exports from certain Data Sources to the Google Sheet in order to automate the process. Learn more about the Google Sheets Data Source here.
The Excel Data Source allows you to store and sync custom data with Databox. You can manually update an Excel workbook with your data, or you can set up exports from certain Data Sources to the Excel in order to automate the process. Learn more about the Excel Data Source here.
SQL (Structured Query Language)
When data from a database needs to be stored and accessed in a pre-defined manner, SQL is likely the tool to use. Currently, MySQL, PostgreSQL, Microsoft Azure and Amazon Redshift are supported SQL Data Sources in Databox.
You can connect 1,000+ Data Sources to Databox through the Zapier Data Source. Learn how to connect Zapier and set up Zaps to sync your data here.
With Databox for Developers, you can push any custom data to the Databox API through the use of our SDKs. Currently, libraries are available for Java, PHP, Ruby, Node.js, Go, and Python.