How to integrate MySQL with Power BI

Integrate Power BI and MySQL
Integrate Power BI and MySQL

Learn how to quickly and efficiently connect MySQL with Power BI for smooth data access.

Read and write MySQL data effortlessly. Query, sync, and manage databases and tables — almost no coding required. You can do it all using the high-performance MySQL ODBC Driver for Power BI (often referred to as the MySQL Connector). We'll walk you through the entire setup.

Ready to dive in? Download the product to jump right in, or follow the step-by-step guide below to see how it works.

Video Tutorial

This video covers the following topics and more, so please watch carefully. After watching the video, follow the steps outlined in this article:

  • How to download and install the required PowerPack for MySQL integration in Power BI
  • How to configure the connection for MySQL
  • Features of the ZappySys JDBC Bridge Driver (Authentication / Query Language / Examples / Driver UI)
  • How to use the MySQL in Power BI

Prerequisites

Before we begin, make sure you meet the following prerequisite: Java Runtime Environment (JRE) or Java Development Kit (JDK) must be installed on your system.

If your JDBC Driver targets a different Java version (e.g., 11 / 17 / 21), install the corresponding or newer Java version.

If you already have a JRE installed, you can try using it too. However, if you experience any issues, we recommend using one of the distributions mentioned above (you can install an additional JRE next to the existing one; just don't forget to configure the default Java in the Windows Environment Variables).

Download MySQL JDBC driver

To connect to MySQL in , you will have to download JDBC driver for it, which we will use in later steps. Let's perform these little steps right away:

  1. Visit MySQL website or MVN Repository.
  2. Download the JDBC driver, and save it locally, e.g. to D:\Drivers\JDBC\mysql-connector-j.jar.
  3. Done! That was easy, wasn't it? Let's proceed to the next step.

Create data source using MySQL ODBC Driver

Step-by-step instructions

To get data from MySQL using Power BI, we first need to create an ODBC data source. We will later read this data in Power BI. Perform these steps:

  1. Download and install ODBC PowerPack (if you haven't already).

  2. Search for odbc and open the ODBC Data Sources (64-bit):

    Open ODBC Data Source
  3. Create a User data source (User DSN) based on the ZappySys JDBC Bridge Driver driver:

    ZappySys JDBC Bridge Driver
    Create new User DSN for ZappySys JDBC Bridge Driver
    • Create and use a User DSN if the client application runs under a User Account. This is the ideal option at design time (e.g., when developing in Visual Studio). Use it for both types of applications (64-bit and 32-bit).
    • Create and use a System DSN if the client application runs under a System Account (e.g., as a Windows Service). This is usually the required option in a production environment. If your Windows Service is a 32-bit application, you must use the 32-bit ODBC Data Source Administrator to configure this
    When deployed to production, Power BI runs under a Service Account. Therefore, for the production environment, you must create and use a System DSN.
  4. Now, we need to configure the JDBC connection in the new ODBC data source. Simply enter the Connection string, credentials, configure other settings, and then click Test Connection button to test the connection:

    MysqlDSN
    jdbc:mysql://mysql-instance-host-name:3306/MyDatabase
    D:\Drivers\JDBC\mysql-connector-j.jar
    root
    ****************
    []
    JDBC-ODBC Bridge driver data source settings

    Use these values when setting parameters:

    • Connection string: jdbc:mysql://mysql-instance-host-name:3306/MyDatabase
    • JDBC driver file(s): D:\Drivers\JDBC\mysql-connector-j.jar
    • User name: root
    • User password: ****************
    • Connection parameters: []

  5. You should see a message saying that connection test is successful:

    ODBC connection test is successful

    Otherwise, if you are getting an error, check out our Community for troubleshooting tips.

  6. We are at the point where we can preview a SQL query. For more SQL query examples visit JDBC Bridge documentation:

    MysqlDSN
    SELECT * FROM `orders`
    JDBC ODBC Bridge data source preview
    SELECT * FROM `orders`
    You can also click on the <Select Table> dropdown and select a table from the list.

    The ZappySys JDBC Bridge Driver acts as a transparent intermediary, passing SQL queries directly to the JDBC driver, which then handles the query execution. This means the Bridge Driver simply relays the SQL query without altering it.

    Some JDBC drivers don't support INSERT/UPDATE/DELETE statements, so you may get an error saying "action is not supported" or a similar one. Please, be aware, this is not the limitation of ZappySys JDBC Bridge Driver, but is a limitation of the specific JDBC driver you are using.

  7. Click OK to finish creating the data source.

Video Tutorial

Connect to MySQL data in Power BI

Import data from a table or view

  1. Once you open Power BI Desktop click Get Data to get data from ODBC:

    Power Bi Get Data
  2. A window opens, and then search for "odbc" to get data from ODBC data source:

    Power Bi ODBC Get Data
  3. Another window opens and asks to select a Data Source we already created. Choose MysqlDSN and continue:

    MysqlDSN
    Power Bi Select ZappySys Driver DSN
  4. Most likely, you will be asked to authenticate to a newly created DSN. Just select Windows authentication option together with Use my current credentials option:

    MysqlDSN
    Power Bi DSN Authentication
  5. Finally, you will be asked to select a table or view to get data from. Select one and load the data!

    Power Bi Load DSN Table Data
  6. Finally, finally, read extracted data from MySQL in a Power BI report:

    Power Bi Extracted DSN Table Data

Import data using a SQL query

If you wish to import MySQL data from SQL query rather than a table then you can use advanced options during import steps (as below). After selecting DSN you can click on advanced options to see SQL Query editor.

MysqlDSN
SELECT * FROM `orders`
Get REST API data in Power BI Desktop using SQL query and ODBC
Consider using Custom Objects feature in ODBC data source to encapsulate SQL query in a Virtual Table. This way, you can see a virtual table in Power BI table list where you can import multiple objects using the same connection rather than creating a new connection for each custom SQL query.

Publish Power BI report to Power BI service

Here are the instructions on how to publish a Power BI report to Power BI service from Power BI Desktop application:

  1. First of all, go to Power BI Desktop, open a Power BI report, and click Publish button:

    Publish Power BI report to Power BI service
  2. Then select the Workspace you want to publish report to and hit Select button:

    Publish Power BI report to workspace
  3. Finally, if everything went right, you will see a window indicating success:

    Successful Power BI report publishing

What's next? If you need to periodically refresh Power BI semantic model (dataset) to ensure data accuracy and up-to-dateness, you can accomplish that by using Microsoft On-premises data gateway. Proceed to the next section - Refresh the Power BI semantic model via the gateway - and learn how to do that.

Refresh the Power BI semantic model (dataset) via the gateway

Power BI allows you to refresh semantic models (previously known as "datasets") that are based on data sources residing on-premises. This is achieved using the Microsoft On-premises data gateway. It acts as a secure bridge between Power BI cloud services and your local MySQL ODBC data source:

Power BI and On-premises data gateway diagram

There are two types of On-premises data gateways:

Standard mode
  • Supports Power BI and other Microsoft Cloud services
  • Installs as a Windows service
  • Starts automatically
  • Supports centralized user access control
  • Supports the Direct Query feature
  • Ideal for enterprise solutions
Personal mode
  • Supports Power BI services only
  • Cannot run as a Windows service
  • Stops when you sign out of Windows
  • Does not support access control
  • Does not support the Direct Query feature
  • Best for individual use and POC solutions

You can download the On-premises data gateway directly from the Microsoft Fabric or Power BI portals:

Download Power BI On-premises data gateway
We recommend using Personal mode for quick POCs or personal use, and Standard mode for production scenarios.

Below are instructions on how to refresh the semantic model using both gateway types.

Use the Standard mode gateway (recommended)

Best for enterprise production environments where multiple users need to share the same gateway connection.

Follow these steps to refresh a Power BI semantic model using the On-premises data gateway (Standard mode):

  1. Go to Power BI My workspace, hover your mouse cursor over your semantic model, and click Settings:

    Configure Power BI semantic model settings
  2. If you see this view, it means you must install the On-premises data gateway (Standard mode):

    On-premises data gateway is not installed
  3. Download On-premises data gateway (standard mode) and run the installer.

  4. Once the configuration window opens, sign in:

    Signing in to on-premises data gateway standard
    Sign in with the same email address you use for Microsoft Fabric.
  5. Select Register a new gateway on this computer (or migrate an existing one):

    Registering or migrating on-premises data gateway standard
  6. Name your gateway, enter a Recovery key, and click the Configure button:

    Naming on-premises data gateway standard
    Save your Recovery Key in a safe place (like a password manager). If you lose it, you cannot restore or migrate this gateway later.
  7. Once Microsoft gateway is installed, check if it registered correctly:

    • Go back to Power BI portal

    • Click Gear icon on top-right

    • And then hit Manage connections and gateways menu item

    Manage On-premise data gateways in Microsoft Fabric or Power BI
  8. Continue by clicking the On-premises data gateway tab and selecting Standard mode gateways from the dropdown menu:

    Access On-premises data gateway list (Standard mode) in Power BI

    If your gateway is not listed, the registration may have failed. To resolve this:

    • Wait a couple of minutes and refresh Power BI portal page
    • Restart the machine where On-premises data gateway is installed
    • Check firewall settings
  9. Success! The gateway is now Online and ready to handle requests.

  10. Now, return to your semantic model settings in the Power BI portal. Refresh the page, and you should see your newly created gateway. Click the arrow icon to expand the options, and then click the Add to gateway link:

    ODBC{"connectionstring":"dsn=MysqlDSN"}
    Using On-premises Data Gateway Standard for Power BI Semantic Model
  11. Once you do that, you will create a new gateway connection. Give it a name, set the Authentication method, Privacy level, and click the Create button:

    dsn=MysqlDSN
    Create new connection in Power BI On-premises data gateway
    In this example, we use the least restrictive Privacy level.

    If your connection uses a full connection string, you may hit a length limitation when entering it into the field. To create the connection, you will need to shorten it manually. Check the section about the limitation of a full connection string on how to accomplish this.

    On-premises data gateway (Personal mode) does not have this limitation.

  12. Select the newly created connection to map it to your dataset:

    ODBC{"connectionstring":"dsn=MysqlDSN"}
    Selecting gateway connection in Power BI semantic model
  13. Finally, you can refresh the semantic model:

    Refreshing Power BI semantic model using On-premises Data Gateway

Use the Personal mode gateway (POC)

Best for single-user scenarios, quick tests (POC), or when you don't have administrative rights to install the Standard gateway.

Follow these steps to refresh a Power BI semantic model using the On-premises data gateway (Personal mode):

  1. Go to Power BI My workspace, hover your mouse cursor over your semantic model, and click Settings:

    Configure Power BI semantic model settings
  2. If you see this view, it means you must install the On-premises data gateway (Personal mode):

    On-premises data gateway is not installed
  3. Install On-premises data gateway (personal mode) and sign-in:

    Sign-in to On-premises data gateway personal
    Use the same email address you use when logging in into your account.
  4. Once Microsoft gateway is installed, check if it registered correctly:

    • Go back to Power BI portal

    • Click Gear icon on top-right

    • And then hit Manage connections and gateways menu item

    Manage On-premise data gateways in Microsoft Fabric or Power BI
  5. Continue by clicking On-premises data gateway tab and select Personal mode option from the dropdown:

    Access On-premises data gateway list (Personal mode) in Power BI

    If your gateway is not listed, the registration may have failed. To resolve this:

    • Wait a couple of minutes and refresh Power BI portal page
    • Restart the machine where On-premises data gateway is installed
    • Check firewall settings
  6. The On-premises data gateway is now Online and ready to receive requests.

  7. Return to your semantic model Settings, expand Data source credentials, click Edit credentials, select the Authentication method and the Privacy level, and then click the Sign in button:

    dsn=MysqlDSN
    Use On-premises data gateway personal for Power BI semantic model
  8. Finally, you are ready to refresh your semantic model:

    Refreshing Power BI semantic model using On-premises Data Gateway

Advanced topics

Editing query in Power BI

There will be a time you need to change the initial query after importing data into Power BI. Don't worry, just right-click on your table and click Edit query menu item:

Edit query in Power BI to get REST API data
Refer to Power Query M reference for more information on how to use its advanced features in your queries.

Using parameters for dynamic queries

In the real world, many values of your REST / SOAP API call may be coming from parameters. If that's the case for you can try to edit script manually as below. In below example its calling SQL Query with POST method and passing some parameters. Notice below where paraAPIKey is Power BI Parameter (string type). You can use parameters anywhere in your script just like the normal variable.

To use a parameter in Power BI report, follow these simple steps:

  1. Firstly, you need to Edit query of your table (see previous section)

  2. Then just create a new parameter by clicking Manage Parameters dropdown, click New Parameter option, and use it in the query:

                    
                                = Odbc.Query("dsn=MysqlDSN",
                                             "SELECT ProductID, ProductName, UnitPrice, UnitsInStock
                                              FROM Products
                                              WHERE UnitPrice > " & Text.From(MyParameter) & "
                                              ORDER BY UnitPrice")
                            
                    
    Use parameter in Power BI to get REST API data
    Refer to Power Query M reference for more information on how to use its advanced features in your queries.

Using DirectQuery (live connection)

By default, Power BI imports MySQL data into its internal cache. However, if you require real-time data, you can use the DirectQuery mode.

Since the native Power BI ODBC connector limits you to Import mode, we must bridge the connection via Microsoft SQL Server. To do this, we configure the ZappySys Data Gateway and create a Linked Server pointing to it:

Architecture diagram: Power BI (DirectQuery) connected to SQL Server, bridging to ZappySys Data Gateway via Linked Server, and finally fetching data from MySQL Service
This method requires an existing Microsoft SQL Server instance to act as the bridge.

Follow these steps to use DirectQuery:

  1. Configure ZappySys Data Gateway and create a Linked Server in SQL Server.

  2. Once the Linked Server is ready, open Power BI Desktop.

  3. Click Get Data and select SQL Server.

  4. Enter your SQL Server instance name and a valid database name (e.g., master).

  5. Under Data Connectivity mode, select DirectQuery.

  6. Expand Advanced options and enter your SQL query using the OPENQUERY syntax below (replace [LINKED_SERVER_NAME] with your actual Linked Server name):

    SELECT * FROM OPENQUERY([LS_TO_MYSQL_IN_GATEWAY], 'SELECT * FROM `orders`')
    DirectQuery option for Power BI (read MySQL data example using SQL Server Linked Server and ZappySys Data Gateway)
    SELECT * FROM OPENQUERY([LS_TO_MYSQL_IN_GATEWAY], 'SELECT * FROM `orders`')
  7. Click OK and load the data. Your MySQL data is now linked live rather than imported.
Avoid using DirectQuery unless it is required for very large datasets or real-time data needs. Data is fetched on demand, which can impact performance compared to the cached Import mode.

Using full ODBC connection string

In the previous steps we used a very short format of ODBC connection string - a DSN. Yet sometimes you don't want a dependency on an ODBC data source (and an extra step). In those times, you can define a full connection string and skip creating an ODBC data source entirely. Let's see below how to accomplish that in the below steps:

  1. Open ODBC data source configuration and click Copy settings:
    ZappySys JDBC Bridge Driver - Configuration [Version: 2.0.1.10418]
    ZappySys JDBC Bridge Driver - MySQL
    Read and write MySQL data effortlessly. Query, sync, and manage databases and tables — almost no coding required.
    MysqlDSN
    Copy connection string for ODBC application
  2. The window opens, telling us the connection string was successfully copied to the clipboard: Successful connection string copying for ODBC application
  3. Then just paste the connection string into your script:
    MysqlDSN
    DRIVER={ZappySys JDBC Bridge Driver};JdbcConnectionString='jdbc:mysql://mysql-instance-host-name:3306/MyDatabase';ClassName='';DriverPath='D:\Drivers\JDBC\mysql-connector-j.jar';UserName='root';UserPassword='****************';ConnParams='[]'
    Use full connection string in Power BI Desktop to read API data
  4. You are good to go! The script will execute the same way as using a DSN.
The DSN defined in the Data source name (DSN) field will be ignored.

Have in mind that a full connection string has length limitations.

Proceed to the next step to find out the details.

Handling limitations of using a full connection string

Despite using a full ODBC connection string may be very convenient it comes with a limitation: it's length is limited to 1024 symbols (or sometimes more). It usually happens when API provider generates a very long Refresh Token when OAuth is at play. If you are using such a long ODBC connection string, you may get this error:

"Connection string exceeds maximum allowed length of 1024"

But there is a solution to this by storing the full connection string in a file. Follow the steps below to achieve this:

  1. Open your ODBC data source.
  2. Click Copy settings button to copy a full connection string (see the previous section on how to accomplish that).
  3. Then create a new file, let's say, in C:\temp\odbc-connection-string.txt.
  4. Continue by pasting the copied connection string into a newly created file and save it.
  5. Finally, the last step! Just construct a shorter ODBC connection string using this format:
    DRIVER={ZappySys JDBC Bridge Driver};SettingsFile=C:\temp\odbc-connection-string.txt
  6. Our troubles are over! Now you should be able to use this connection string in Power BI with no problems.
This feature requires ODBC PowerPack v1.9.0 or later.

Optional: Centralized data access via ZappySys Data Gateway

In some situations, you may need to provide MySQL data access to multiple users or services. Configuring the data source on a Data Gateway creates a single, centralized connection point for this purpose.

This configuration provides two primary advantages:

  • Centralized data access
    The data source is configured once on the gateway, eliminating the need to set it up individually on each user's machine or application. This significantly simplifies the management process.
  • Centralized access control
    Since all connections route through the gateway, access can be governed or revoked from a single location for all users.
Data Gateway
Local ODBC
data source
Simple configuration
Installation Single machine Per machine
Connectivity Local and remote Local only
Connections limit Limited by License Unlimited
Central data access
Central access control
More flexible cost

To achieve this, you must first create a data source in the Data Gateway (server-side) and then create an ODBC data source in Power BI (client-side) to connect to it.

Let's not wait and get going!

Create MySQL data source in the gateway

In this section we will create a data source for MySQL in the Data Gateway. Let's follow these steps to accomplish that:

  1. Search for gateway in the Windows Start Menu and open ZappySys Data Gateway Configuration:

    Open ZappySys Data Gateway Service Manager
  2. Go to the Users tab and follow these steps to add a Data Gateway user:

    • Click the Add button
    • In the Login field enter a username, e.g., john
    • Then enter a Password
    • Check the Is Administrator checkbox
    • Click OK to save
    Data Gateway - Add User
  3. Now we are ready to add a data source:

    • Click the Add button
    • Give the Data source a name (have it handy for later)
    • Then select Native - ZappySys JDBC Bridge Driver
    • Finally, click OK
    MysqlDSN
    ZappySys JDBC Bridge Driver
    Data Gateway - Add data source
  4. When the ZappySys JDBC Bridge Driver configuration window opens, go back to ODBC Data Source Administrator where you already have the MySQL ODBC data source created and configured, and follow these steps on how to Import data source configuration into the Gateway:

    • Open ODBC data source configuration and click Copy settings:
      ZappySys JDBC Bridge Driver - Configuration [Version: 2.0.1.10418]
      ZappySys JDBC Bridge Driver - MySQL
      Read and write MySQL data effortlessly. Query, sync, and manage databases and tables — almost no coding required.
      MysqlDSN
      Copy connection string for ODBC application
    • The window opens, telling us the connection string was successfully copied to the clipboard: Successful connection string copying for ODBC application
    • Then go to Data Gateway configuration and in data source configuration window click Load settings:

      MysqlDSN
      ZappySys JDBC Bridge Driver - Configuration [Version: 2.0.1.10418]
      ZappySys JDBC Bridge Driver - MySQL
      Read and write MySQL data effortlessly. Query, sync, and manage databases and tables — almost no coding required.
      MysqlDSN
      Load configuration in ZappySys Data Gateway data source
    • Once a window opens, just paste the settings by pressing CTRL+V or by clicking right mouse button and then Paste option.
  5. Once done, go to the Network Settings tab and Add a firewall rule for inbound traffic:

    Data Gateway - Add firewall rule for inbound connections
    • This will initially allow all inbound traffic.
    • Click Edit IP filters to restrict access to specific IP addresses or ranges.
  6. Crucial Step: After creating or modifying the data source, you must:

    • Click the Save button to persist your changes.
    • Hit Yes when prompted to restart the Data Gateway service.

    This ensures all changes are properly applied:

    ZappySys Data Gateway - Save Changes
    Skipping this step may cause the new settings to fail, preventing you from connecting to the data source.

Create ODBC data source to connect to the gateway

In this part we will create an ODBC data source to connect to the ZappySys Data Gateway from Power BI. To achieve that, let's perform these steps:

  1. Search for odbc and open the ODBC Data Sources (64-bit):

    Open ODBC Data Source
  2. Create a User data source (User DSN) based on the ODBC Driver 17 for SQL Server driver:

    ODBC Driver 17 for SQL Server
    Create new User DSN for ODBC Driver 17 for SQL Server
    If you don't see the ODBC Driver 17 for SQL Server driver in the list, choose a similar version.
  3. Then set a Name for the data source (e.g. Gateway) and the address of the Data Gateway:

    ZappySysGatewayDSN
    localhost,5000
    ODBC driver for SQL Server - Setting hostname and port
    Make sure you separate the hostname and port with a comma, e.g. localhost,5000.
  4. Proceed with the authentication part:

    • Select SQL Server authentication
    • In the Login ID field enter the user name you created in the Data Gateway, e.g., john
    • Set Password to the one you configured in the Data Gateway
    ODBC driver for SQL Server - Selecting SQL Authentication
  5. Then set the default database property to MysqlDSN (the one we used in the Data Gateway):

    MysqlDSN
    MysqlDSN
    ODBC driver for SQL Server - Selecting database
    Make sure to type the data source name manually or copy/paste it directly into the field. Using the dropdown might fail because the Trust server certificate option is not enabled yet (next step).
  6. Continue by checking the Trust server certificate option:

    ODBC driver for SQL Server - Trusting certificate
  7. Once you do that, test the connection:

    ODBC driver for SQL Server - Testing connection
  8. If the connection is successful, everything is good:

    ODBC driver for SQL Server - Testing connection succeeded
  9. Done!

We are ready to move to the final step. Let's do it!

Access data in Power BI via the gateway

Finally, we are ready to read data from MySQL in Power BI via the Data Gateway. Follow these final steps:

  1. Go back to Power BI.

  2. Once you open Power BI Desktop click Get Data to get data from ODBC:

    Power Bi Get Data
  3. A window opens, and then search for "odbc" to get data from ODBC data source:

    Power Bi ODBC Get Data
  4. Another window opens and asks to select a Data Source we already created. Choose ZappySysGatewayDSN and continue:

    ZappySysGatewayDSN
    Power Bi Select ZappySys Driver DSN
  5. When the ODBC driver authentication window opens, configure the following:

    • Enter the User name (e.g., john)
    • Enter the Password that you configured in ZappySys Data Gateway
    • Hit the Connect button
    dsn=ZappySysGatewayDSN
    Configure access to ZappySys Data Gateway data source in Power BI
    Make sure the Database tab is selected; otherwise, Power BI won't be able to connect to the ZappySys Data Gateway.
  6. Read the data the same way we discussed at the beginning of this article.

  7. That's it!

Now you can connect to MySQL data in Power BI via the Data Gateway.

Troubleshooters & resources (JDBC Bridge Driver)

Below are some useful community articles to help you troubleshoot and configure the ZappySys JDBC Bridge Driver:

Conclusion

In this article we showed you how to connect to MySQL in Power BI and integrate data without writing complex code — all of this was powered by MySQL ODBC Driver. It's worth noting that ZappySys JDBC Bridge Driver allows you to connect not only to MySQL, but to any Java application that supports JDBC (just use a different JDBC driver and configure it appropriately).

Download ODBC PowerPack now or ping us via chat if you have any questions or are looking for a specific feature (you can also reach out to us by submitting a ticket):

Explore Power BI connectors

All
Big Data & NoSQL
Database
CRM & ERP
Marketing
Collaboration
Cloud Storage
Reporting
Commerce
API & Files

More MySQL integrations

All
Data Integration
Database
BI & Reporting
Productivity
Programming Languages
Automation & Scripting
ODBC applications