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Build Stripe-Connected Visualizations in datapine



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

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

CData Connect Cloud provides a pure SQL Server interface for Stripe, allowing you to query data from Stripe 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 Stripe, leveraging server-side processing to return the requested Stripe data quickly.

Configure Stripe Connectivity for datapine

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

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

    Use the OAuth authentication standard to connect to Stripe. To authenticate using OAuth, you will need to register an app to obtain the OAuthClientId, OAuthClientSecret, and CallbackURL connection properties. See the "Getting Started" chapter of the help documentation for a guide to using OAuth.

  4. Click Create & Test
  5. Navigate to the Permissions tab in the Add Stripe 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 Stripe from datapine

Once you configure your connection to Stripe in Connect Cloud, you are ready to connect to Stripe 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. Stripe1)
    • 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 Stripe Data in datapine

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

Having connect to Stripe from datapine, you are now able to visualize and analyze real-time Stripe 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!