Load MongoDB Data into Power BI Through using ODBC Connection

MongoDB Data

​​Loading MongoDB data into Power BI through an ODBC connection can provide several benefits. It can make reports easier to manage and share across an organization by putting them all together. It can also combine data from MongoDB databases with other relational data sources. This lets you analyze and report across data with a direct connection; you can do real-time analytics and get up-to-date information in reports and dashboards. Power BI’s flexibility and scalability allow for advanced data modeling and transformation. This can change and improve data, create calculated fields and measures, and build complex data models that can grow as business needs change. Power BI has strong security and access controls that can keep data safe and make sure governance and compliance are met. 

So, putting MongoDB data into Power BI through an ODBC connection can help data reach its full potential and give valuable insights that can help businesses make decisions and grow.

What is Power BI?

​​Microsoft’s Power BI is a set of business analytics tools that help businesses look at data and share what they’ve learned. It makes it easy for users to connect to different data sources, change and shape the data, and make interactive reports and visualizations. Power BI also has more advanced features like machine learning, natural language processing, and predictive analytics.

Power BI Desktop, Power BI Service, Power BI Mobile, and Power BI Report Server are some of the parts of the suite. Power BI Desktop is a Windows program that lets people use data from different sources to visualize reports and data. Power BI Service is a cloud-based platform that allows users to view and share reports and dashboards with others. Power BI Mobile is an app for mobile devices that lets users access and look at reports on the go. Power BI Report Server is an on-premises platform that lets users deploy and manage Power BI reports within their organization’s infrastructure.

Power BI Embedded is another offering in the suite that allows developers to integrate Power BI reports and dashboards into their custom applications. To learn more about the pricing and licensing options for Power BI Embedded, you can visit https://www.epcgroup.net/power-bi-embedded-pricing/ and get a detailed breakdown of the costs and benefits associated with using Power BI Embedded, ensuring to make informed decisions when choosing the right Power BI solution for your needs.

Advantages of Power BI

  • Easy Data Visualization: Power BI makes creating interactive data visualizations and reports easy. Users can easily connect to different data sources, change and shape the data, and create stunning visualizations that are easy to understand and share.
  • Integration with Other Microsoft Programs: Power BI works well with other Microsoft programs like Excel, SharePoint, and Teams. Users can use these tools to access data and make reports and dashboards without leaving the Microsoft environment they are used to.
  • Cloud-Based: Power BI is a cloud-based platform, meaning users can access their data and reports from anywhere. This makes collaborating with team members and sharing reports with stakeholders easy.
  • Natural Language Processing: Power BI offers natural language processing (NLP) capabilities, which means that users can ask questions about their data in plain language and get answers through visualizations and reports.
  • Machine Learning: Power BI has advanced machine learning features that let users do predictive analytics and find trends and patterns in their data.
  • Cost-effective: Power BI offers a cost-effective solution for business intelligence compared to traditional BI tools. It offers a flexible pricing model based on the number of users, which makes it accessible to businesses of all sizes.
  • Dashboards that can be changed: Power BI lets users make dashboards that can be changed and show their data in real-time. This helps users monitor key performance indicators (KPIs) and make informed decisions based on the latest data.

Differences Between Power BI Desktop and Power BI service

Power BI Desktop and Power BI Service are two components of the Power BI suite that serve different purposes. Here are the main differences between the two:

  • Functionality: Power BI Desktop is a Windows application for creating reports and data visualizations. It has advanced data modeling and transformation tools, and lets users make reports and dashboards that are very complicated. On the other hand, Power BI Service is a cloud-based platform used for sharing and collaborating on reports and dashboards. It provides features such as data sharing, security, and collaboration tools.
  • Deployment: Power BI Desktop reports are saved locally on a user’s computer and can be shared as individual files. On the other hand, Power BI Service reports are uploaded to the cloud and can be accessed through a web browser or a mobile app.
  • Data Connectivity: Power BI Desktop can connect to different data sources, such as Excel spreadsheets, SQL databases, and cloud-based services. Power BI Service also works with these data sources, but it works best with data sources in the cloud, like Azure SQL Database, Dynamics 365, and SharePoint Online.
  • Collaboration: The Power BI Service provides advanced collaboration tools that allow users to share reports and dashboards with other users, collaborate on reports in real-time, and manage access to data. Power BI Desktop, on the other hand, does not offer these collaboration features.
  • Licensing: Power BI Desktop is a free application that anyone can download and use. Power BI Service, on the other hand, only lets you use its advanced features and collaboration tools if you pay for a subscription.

Power BI Desktop and Power BI Service are important parts of the Power BI suite, and they work well together. Power BI Desktop is used for creating reports and visualizations, while Power BI Service is used for sharing, collaborating, and managing reports and dashboards in the cloud.

About MongoDB

MongoDB is a popular open-source NoSQL database that was first released in 2009. It is made to store unstructured and semi-structured data like documents, JSON objects, and key-value pairs. It is fast, scalable, and flexible.

Some key features of MongoDB include:

  • Flexible data model: MongoDB’s document-based data model lets users store and manage complex data structures in a single document, which makes it easier to query and retrieve data.
  • Dynamic schema: Unlike traditional relational databases, MongoDB doesn’t force the data to fit into a predefined schema. This allows for greater flexibility and adaptability to changing business requirements.
  • High availability and scalability: MongoDB is made to be highly available and scalable. It has built-in replication and sharding features that let users spread data across multiple nodes and ensure that data is always available.
  • Rich query language: MongoDB has a rich and powerful language that can handle complex queries, indexing, and aggregation operations. This makes it easy for users to access and analyze their data.
  • Community support: MongoDB has a large and active community of developers and users, which provides a lot of support. MongoDB is used a lot in modern web apps, mobile apps, and other data-heavy programs that need to store and access data quickly and easily. a wealth of resources, documentation, and support.

MongoDB is often used in modern web apps, mobile apps, and other data-heavy programs that need to store and access data quickly and easily. It also works with many different programming languages, like Java, Python, Ruby, and Node.js, making adding to different application stacks easy.

About ODBC drivers

Devart ODBC drivers are high-performance ODBC drivers that let users connect to and work with a wide range of relational databases from different vendors, such as Oracle, MySQL, PostgreSQL, SQL Server, SQLite, and many others.

Open Database Connectivity (ODBC) is a standard API that lets programs use a common interface to talk to databases. Devart ODBC drivers use the ODBC API in a way that is optimized for speed and functionality. This lets users access and work with their data using popular programs like Excel, Power BI, Tableau, and other BI and reporting tools.

Advantages of Devart ODBC Drivers

  • ​​High performance: Devart ODBC drivers are designed to provide high performance and low latency, allowing users to work with their data in real time without any delays or slowdowns.
  • Easy to install and set up: Devart ODBC drivers are easy to install and set up, with a simple and intuitive setup wizard that walks users through connecting to their database.
  • A full set of features: Devart ODBC drivers have a full set of features, such as support for transactions, stored procedures, Unicode data, connection pooling, and much more.
  • Compatibility: Devart ODBC drivers work with many programs, including popular business intelligence (BI) and reporting tools, and are available for Windows and Linux.
  • Technical support: Devart provides technical support for its ODBC drivers with a team of experienced professionals who can help users with any issues or questions.

How to Install ODBC driver

​​Here are the general steps for installing a Devart ODBC driver:

  1. Download the Devart ODBC driver installer from the Devart website or the Devart ODBC driver product page.
  2. Run the installer and select the ODBC driver you want to install and any other required components.
  3. Follow the prompts in the installer to configure the ODBC driver and provide any required information, such as the database server name or IP address, port number, authentication credentials, etc.
  4. Once the installation is complete, you can use the ODBC driver to connect to your database from any ODBC-compliant application or tool.

Here are the exact steps you need to take to install the Devart ODBC driver for Oracle on Windows:

  1. Download the Devart ODBC driver installer for Oracle from the Devart website.
  2. Start the installer and choose the “ODBC driver for Oracle” option and any other parts you need.
  3. Follow the instructions in the installer to set up the ODBC driver. You will need to provide information like the name or IP address of the Oracle database server, the port number, and your authentication credentials.
  4. Choose the version of the ODBC driver that works with your system (32-bit or 64-bit), and then click “Finish” to finish the installation.
  5. Open the “System DSN” tab in the “ODBC Data Source Administrator” tool, which you can find in the “Control Panel” under “Administrative Tools.”
  6. Click “Add” to create a new data source and then select the “Devart ODBC Driver for Oracle” from the list of available drivers.
  7. Follow the on-screen instructions to set up the data source settings, which include the name or IP address of the database server, the port number, the authentication credentials, and any other needed information.
  8. Click “Test Connection” to verify that the connection is working properly.
  9. Once the data source is configured, you can use it to connect to your Oracle database from any ODBC-compliant application or tool.

Import From MongoDB to Power BI via ODBC driver

  1. ​​Install and configure MongoDB ODBC Driver on your computer.
  2. Open Power BI and select “Get Data” from the Home ribbon.
  3. In the “Get Data” window, select “ODBC” from the list of available data sources.
  4. In the “ODBC” window, choose the MongoDB ODBC data source you created and set up earlier.
  5. Enter your MongoDB username and password in the “Advanced options” section if required.
  6. Click on “Connect” to establish a connection between Power BI and your MongoDB database.
  7. Choose the collection(s) from your MongoDB database that you want to import into Power BI in the “Navigator” window.
  8. Select the “Load” option to import the data into Power BI.
  9. Once the import process is complete, you can start working with your MongoDB data in Power BI and create reports, dashboards, and visualizations.

Note that the specific steps for importing data from MongoDB to Power BI via the ODBC driver may vary depending on the version of Power BI and the ODBC driver that you are using. You might need to look at the instructions and troubleshooting tips in the documentation Devart, and Power BI give you.


In summary, Devart provides an ODBC driver for MongoDB, allowing users to load MongoDB data into Power BI for reporting, analysis, and visualization. Using this ODBC driver, users can integrate MongoDB data with other relational data sources, perform real-time analytics, and leverage Power BI’s advanced data modeling and transformation capabilities. There are also other Devart ODBC drivers for popular databases such as MySQL, PostgreSQL, SQL Server, and Oracle. These drivers enable users to connect to their data sources directly from Power BI and create reports and visualizations based on real-time data.