Connecting Your Data: The Basics

Databox’s flexible data architecture enables you to connect to almost all the data sources you care about, ranging from programs like Google Analytics, HubSpot, Zendesk and Salesforce to Google spreadsheets (via Zapier integration), custom data or even Structured Query Language (SQL).

Ways of connecting your data: Cloud sources, Google spreadsheets (Zapier), custom data and SQL

The easiest way to get started is through the use of cloud-based data sources such as Google Analytics, HubSpot and Salesforce. Once you have created a Databox account, we guide you through our on-boarding process. You will be able to select your desired data sources and the metrics you care the most. To build your dashboards please visit the Build dashboards section of our Help section.

Cloud-Based Sources

Databox offers several one-click integrations with Google Analytics, Hubspot, Adobe Analytics, Mixpanel, Localytics, Zendesk, Stripe, QuickBooks, Facebook Ads, Google AdWords, Google AdSense, Intercom and many more - see the whole list here.

Google Spreadsheets (Zapier)

Within the Databox platform, importing data from Google sheets is not directly supported, but you can do it via Zapier integration. More about Zapier integration can be read here and here is a detailed use case for importing Google sheets data into Databox.

Structured Query Language (SQL)

When data needs to be structured and stored in an organized manner, SQL is likely the tool to use. At the moment,  MySQLPostgreSQL, Microsoft Azure SQL, and Amazon Redshift are supported out of the box in Databox. 

Custom Data

With Databox for Developers, you can push any custom data to Databox API with the use of our SDKs. Currently, the libraries are available for Java, PHP, Node.js, Ruby, Python and Go.

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