Ready to get started?

Learn more about CData Connect Cloud or sign up for free trial access:

Free Trial

Build BigCommerce-Connected Visualizations in datapine



Use CData Connect Cloud and datapine to build visualizations and dashboards with access to live BigCommerce data.

datapine is a browser-based business intelligence platform. When paired with the CData Connect Cloud, you get access to your BigCommerce data directly from your datapine visualizations and dashboards. This article describes connecting to BigCommerce in CData Connect Cloud and building a simple BigCommerce-connected visualization in datapine.

CData Connect Cloud provides a pure SQL Server interface for BigCommerce, allowing you to query data from BigCommerce without replicating the data to a natively supported database. Using optimized data processing out of the box, CData Connect Cloud pushes all supported SQL operations (filters, JOINs, etc.) directly to BigCommerce, leveraging server-side processing to return the requested BigCommerce data quickly.

Configure BigCommerce Connectivity for datapine

Connectivity to BigCommerce from datapine is made possible through CData Connect Cloud. To work with BigCommerce data from datapine, we start by creating and configuring a BigCommerce connection.

  1. Log into Connect Cloud, click Connections and click Add Connection
  2. Select "BigCommerce" from the Add Connection panel
  3. Enter the necessary authentication properties to connect to BigCommerce.

    BigCommerce authentication is based on the standard OAuth flow. To authenticate, you must initially create an app via the Big Commerce developer platform where you can obtain an OAuthClientId, OAuthClientSecret, and CallbackURL. These three parameters will be set as connection properties to your driver.

    Additionally, in order to connect to your BigCommerce Store, you will need your StoreId. To find your Store Id please follow these steps:

    1. Log in to your BigCommerce account.
    2. From the Home Page, select Advanced Settings > API Accounts.
    3. Click Create API Account.
    4. A text box named API Path will appear on your screen.
    5. Inside you can see a URL of the following structure: https://api.bigcommerce.com/stores/{Store Id}/v3.
    6. As demonstrated above, your Store Id will be between the 'stores/' and '/v3' path paramters.
    7. Once you have retrieved your Store Id you can either click Cancel or proceed in creating an API Account in case you do not have one already.
  4. Click Create & Test
  5. Navigate to the Permissions tab in the Add BigCommerce Connection page and update the User-based permissions.

Add a Personal Access Token

If you are connecting from a service, application, platform, or framework that does not support OAuth authentication, you can create a Personal Access Token (PAT) to use for authentication. Best practices would dictate that you create a separate PAT for each service, to maintain granularity of access.

  1. Click on your username at the top right of the Connect Cloud app and click User Profile.
  2. On the User Profile page, scroll down to the Personal Access Tokens section and click Create PAT.
  3. Give your PAT a name and click Create.
  4. The personal access token is only visible at creation, so be sure to copy it and store it securely for future use.

Connecting to BigCommerce from datapine

Once you configure your connection to BigCommerce in Connect Cloud, you are ready to connect to BigCommerce from datapine.

  1. Log into datapine
  2. Click Connect to navigate to the "Connect" page
  3. Select MS SQL Server as the data source
  4. In the Integration step, fill in the connection properties and click "Save and Proceed"
    • Set the Internal Name
    • Set Database Name to the name of the connection we just configured (e.g. BigCommerce1)
    • Set Host / IP to "tds.cdata.com"
    • Set Username to your Connect Cloud username (e.g. user@mydomain.com)
    • Set Password to the corresponding PAT
    • Set Database Port to "14333"
  5. In the Data Schema step, select the tables and fields to visualize and click "Save and Proceed"
  6. In the References step, define any relationships between your selected tables and click "Save and Proceed"
  7. In the Data Transfer step, click "Go to Analyzer"

Visualize BigCommerce Data in datapine

After connecting to CData Connect Cloud, you are ready to visualize your BigCommerce data in datapine. Simply select the dimensions and measures you wish to visualize!

Having connect to BigCommerce from datapine, you are now able to visualize and analyze real-time BigCommerce data no matter where you are. To get live data access to 100+ SaaS, Big Data, and NoSQL sources directly from datapine, try CData Connect Cloud today!