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URL: https://www.cdata.com/kb/tech/mongodb-cloud-datapine.rst

⇱ Build MongoDB-Connected Visualizations in datapine


Build MongoDB-Connected Visualizations in datapine

πŸ‘ Dibyendu Datta
Dibyendu Datta
Lead Technology Evangelist
Use CData Connect AI and datapine to build visualizations and dashboards with access to live MongoDB data.

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

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

About MongoDB Data Integration

Accessing and integrating live data from MongoDB has never been easier with CData. Customers rely on CData connectivity to:

MongoDB's flexibility means that it can be used as a transactional, operational, or analytical database. That means CData customers use our solutions to integrate their business data with MongoDB or integrate their MongoDB data with their data warehouse (or both). Customers also leverage our live connectivity options to analyze and report on MongoDB directly from their preferred tools, like Power BI and Tableau.

For more details on MongoDB use case and how CData enhances your MongoDB experience, check out our blog post: The Top 10 Real-World MongoDB Use Cases You Should Know in 2024.


Getting Started


Configure MongoDB Connectivity for datapine

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

  1. Log into Connect AI, click Sources, and then click Add Connection
  2. πŸ‘ Adding a Connection
  3. Select "MongoDB" from the Add Connection panel
  4. πŸ‘ Selecting a data source
  5. Enter the necessary authentication properties to connect to MongoDB.

    Set the Server, Database, User, and Password connection properties to connect to MongoDB. To access MongoDB collections as tables you can use automatic schema discovery or write your own schema definitions. Schemas are defined in .rsd files, which have a simple format. You can also execute free-form queries that are not tied to the schema.

    πŸ‘ Configuring a connection (Salesforce is shown)
  6. Click Save & Test
  7. Navigate to the Permissions tab in the Add MongoDB Connection page and update the User-based permissions. πŸ‘ Updating permissions

Add a Personal Access Token

When connecting to Connect AI through the REST API, the OData API, or the Virtual SQL Server, a Personal Access Token (PAT) is used to authenticate the connection to Connect AI. It is best practice to create a separate PAT for each service to maintain granularity of access.

  1. Click on the Gear icon () at the top right of the Connect AI app to open the settings page.
  2. On the Settings page, go to the Access Tokens section and click Create PAT.
  3. Give the PAT a name and click Create. πŸ‘ Creating a new PAT
  4. The personal access token is only visible at creation, so be sure to copy it and store it securely for future use.

With the connection configured and a PAT generated, you are ready to connect to MongoDB data from datapine.

Connecting to MongoDB from datapine

Once you configure your connection to MongoDB in Connect AI, you are ready to connect to MongoDB 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. MongoDB1)
    • Set Host / IP to "tds.cdata.com"
    • Set Username to your Connect AI username (e.g. [email protected])
    • Set Password to the corresponding PAT
    • Set Database Port to "14333"
    πŸ‘ Configuring the connection to CData Connect AI
  5. In the Data Schema step, select the tables and fields to visualize and click "Save and Proceed" πŸ‘ Selecting tables and fields to visualize (Salesforce is shown)
  6. In the References step, define any relationships between your selected tables and click "Save and Proceed" πŸ‘ Defining foreign key relationships
  7. In the Data Transfer step, click "Go to Analyzer"

Visualize MongoDB Data in datapine

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

πŸ‘ Visualizing data in datapine (Salesforce is shown)

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