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⇱ Create Reports from MongoDB Data in Looker Studio

Create Reports from MongoDB Data in Looker Studio

👁 Jerod Johnson
Jerod Johnson
Director, Technology Evangelism
Use CData Connect AI to gain access to live MongoDB data and create custom reports in Looker Studio.

Looker Studio, formerly known as Google Data Studio, empowers users to craft customized reports featuring data visualizations that can be shared with clients while reflecting your brand identity. When combined with CData Connect AI, you gain immediate cloud-to-cloud access to MongoDB data to create visualizations, dashboards, and more. This article provides step-by-step instructions on establishing a virtual database for MongoDB and generating reports from MongoDB data within Looker Studio.

CData Connect AI offers a seamless cloud-to-cloud interface tailored for MongoDB, making it straightforward to construct reports directly from live MongoDB data within Looker Studio without the need for data replication. As you create visualizations, Looker Studio generates queries to retrieve data. With its inherent optimized data processing capabilities, CData Connect AI efficiently channels all supported query operations, including filters, JOINs, and more, directly to MongoDB. This leverages server-side processing to swiftly provide the requested MongoDB data.

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


This article requires a CData Connect AI instance and the CData Connect AI Connector for Looker Studio. Get more information on the CData Connect AI and sign up for a free trial at https://www.cdata.com/cloud.


Configure MongoDB Connectivity for Looker Studio

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

  1. Log into Connect AI, click Sources, and then click Add Connection
    2. 👁 Adding a Connection
  2. Select "MongoDB" from the Add Connection panel
    3. 👁 Selecting a data source
  3. 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.

    👁 Configuring a connection (Salesforce is shown)
  4. Click Save & Test
  5. Navigate to the Permissions tab in the Add MongoDB Connection page and update the User-based permissions. 👁 Updating permissions

With the connection configured, you are ready to connect to MongoDB data from Looker Studio.

Visualize Live MongoDB Data from Looker Studio

The steps below outline connecting to CData Connect AI from Looker Studio to create a new MongoDB data source and build a simple visualization from the data.

  1. Log into Looker Studio, click data sources, create a new data source, and choose CData Connect AI Connector.
    2. 👁 Create a new connection in Looker Studio
  2. Click Authorize and allow access to your Google account. 👁 Granting permissions to the Connector
  3. Click Authorize to authenticate with your CData Connect AI instance 👁 Authenticating with CData Connect AI
  4. In the CData Connect AI Connector in Looker Studio select Connections to import from the dropdown and click Next
    5. 👁 Importing from Connections
  5. Now select a Connection (e.g. MongoDB1) and click Next 👁 Selecting a Connection
  6. Select a Table (e.g. restaurants) or use a Custom Query and click Connect to continue 👁 Selecting a Table
  7. If needed, modify columns, click Create Report, and add the data source to the report.
    8. 👁 Configuring column definitions
  8. Select a visualization style and add it to the report.
  9. Select Dimensions and Measures to customize your visualization.
    10. 👁 Visualizing MongoDB data in Looker Studio

Live Access to MongoDB Data from Cloud Applications

Now you have a direct, cloud-to-cloud connection to live MongoDB data from your Looker Studio workbook. You can create more data sources and new visualizations, build reports, and more — all without replicating MongoDB data.

Try CData Connect AI and get real-time data access to hundreds of SaaS, Big Data, and NoSQL sources directly from your cloud applications.