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URL: https://www.cdata.com/kb/tech/mongodb-ssis-task-import-2008.rst

⇱ Build Data Flows from MongoDB to SQL Server using SSIS

Build Data Flows from MongoDB to SQL Server using SSIS

👁 Jerod Johnson
Jerod Johnson
Director, Technology Evangelism
Easily back up MongoDB data to SQL Server using the SSIS components for MongoDB.

Using SQL Server as a backup for critical business data provides an essential safety net against loss. Backing up data to SQL Server enables business users to more easily connect that data with features like reporting, analytics, and more.

This example demonstrates how to use the CData SSIS Tasks for MongoDB inside of a SQL Server SSIS workflow to transfer MongoDB data into a Microsoft SQL Server database.

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


Add the Components

To get started, add a new MongoDB source and SQL Server ADO.NET destination to a new data flow task.

👁 The Data Flow task used in this example. (Salesforce is shown.)

Create a New Connection Manager

Follow the steps below to save MongoDB connection properties in a connection manager.

  1. In the Connection Manager window, right-click and then click New Connection. The Add SSIS Connection Manager dialog is displayed.
  2. In the Connection Manager type menu, select MongoDB. The CData MongoDB Connection Manager is displayed.
  3. Configure connection properties.

    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).

Configure the MongoDB Source

Follow the steps below to specify the query to be used to extract MongoDB data.

  1. Double-click the MongoDB source to open the source component editor.
  2. In the Connection Manager menu, select the connection manager previously created.
  3. Specify the query to use for the data extraction. For example: 
    SELECT borough, cuisine FROM restaurants
    👁 The SQL query to retrieve records. (Salesforce is shown.)
  4. Close the MongoDB Source control and connect it to the ADO.NET Destination.

Configure the SQL Server Destination

Follow the steps below to specify the SQL server table to load the MongoDB data into.

  1. Open the ADO.NET Destination and add a New Connection. Enter your server and database information here.
  2. In the Data access mode menu, select "table or view".
  3. In the Table Or View menu, select the table or view to populate.
  4. Configure any properties you wish to on the Mappings screen. 👁 The mappings from the SSIS source component to SQL Server. (Salesforce is shown.)

Run the Project

You can now run the project. After the SSIS Task has finished executing, your database will be populated with MongoDB data.

👁 The completed import. (Salesforce is shown.)

Ready to get started?

Download a free trial of the MongoDB SSIS Component to get started:

 Download Now

Learn more:

👁 MongoDB Icon
MongoDB SSIS Components

Powerful SSIS Source & Destination Components that allows you to easily connect SQL Server with live MongoDB document databases through SSIS Workflows.

Use the MongoDB Data Flow Components to synchronize with MongoDB data. Perfect for data synchronization, local back-ups, workflow automation, and more!