Can Power BI Connect to SQLite Database?

Cody Schneider7 min read

Thinking about connecting Power BI to a SQLite database? The short answer is yes, you can absolutely do it. While Power BI doesn't have a built-in, one-click connector specifically for SQLite like it does for SQL Server or MySQL, the process is straightforward using a generic connector that's already part of the toolbox. This guide will walk you through the entire setup, from installing the right component to pulling your SQLite data into Power BI for analysis.

GraphedGraphed

Still Building Reports Manually?

Watch how growth teams are getting answers in seconds — not days.

Watch Graphed demo video

Why Connect Power BI to SQLite?

You might wonder why you’d need to connect a powerful business intelligence tool like Power BI to a lightweight, file-based database like SQLite. SQLite is incredibly common because it’s serverless, self-contained, and requires zero configuration. It's often used as the embedded database for desktop applications, mobile apps, and small web applications.

Here are a few common scenarios where this connection is valuable:

  • Analyzing Application Data: Many applications store their user data, logs, or other information locally in a .sqlite file. Connecting Power BI lets you analyze this data without having to export it to a different format first.
  • Working with Third-Party Data: Sometimes, business partners or public data sources provide data in SQLite files. This method allows you to directly access and visualize it.
  • Prototyping and Small Projects: For a small business or a single data project, setting up a full-fledged database server can be overkill. SQLite is a simple way to store structured data that you can then analyze with the full power of Power BI.

The goal is to bring the analytical and visualization capabilities of Power BI to the vast amount of data that lives inside these convenient SQLite files.

GraphedGraphed

Still Building Reports Manually?

Watch how growth teams are getting answers in seconds — not days.

Watch Graphed demo video

The Key Component: An ODBC Driver

To make Power BI and SQLite talk to each other, you need a "translator." In this case, that translator is an ODBC (Open Database Connectivity) driver. ODBC is a standard interface that allows applications like Power BI to communicate with various database systems, even if they don't have a native connector.

You’ll need to download and install a specific ODBC driver for SQLite. The most common and reliable one is maintained by Christian Werner. This driver is free and well-supported.

Step 1: Download and Install the Correct SQLite ODBC Driver

The most important part of this step is matching the driver's architecture to your Power BI installation architecture. Power BI Desktop is almost always 64-bit, so you will need the 64-bit ODBC driver.

  1. Go to the official download page for the SQLite ODBC Driver: http://www.ch-werner.de/sqliteodbc/
  2. Look for the 64-bit version of the installer. It will likely be named something like sqliteodbc_w64.exe.
  3. Download the file and run the installer. The installation process is simple - just follow the prompts and accept the default settings.

If you accidentally install the 32-bit driver, Power BI won't be able to "see" it, which is the most common point of failure in this process. Stick with the 64-bit version.

Step 2: Configure the ODBC Data Source

Once the driver is installed, you need to set up a Data Source Name (DSN). A DSN is essentially a saved shortcut that contains all the necessary information to connect to your database file (like the file path). Power BI will use this DSN to find and connect to your SQLite database.

  1. Open the Windows Start Menu and search for "ODBC Data Sources."
  2. Make sure to select the "ODBC Data Sources (64-bit)" application. Running the wrong version is a common mistake that causes connection issues.
  3. In the ODBC Data Source Administrator window, you can create a User DSN (only visible to your user account) or a System DSN (visible to all users on the computer). For most use cases, a User DSN is fine. Click the "User DSN" tab.
  4. Click the "Add..." button. A new window will appear showing a list of available drivers.
  5. Scroll down and select the driver you just installed. It should be named something like "SQLite3 ODBC Driver". Click "Finish."
  6. Now you'll see the SQLite3 ODBC DSN Configuration window. This is where you point the DSN to your specific database file. Fill out the fields as follows:
  7. Click "OK" to save the DSN. You should now see your new DSN listed on the User DSN tab. Click "OK" again to close the administration tool.
GraphedGraphed

Still Building Reports Manually?

Watch how growth teams are getting answers in seconds — not days.

Watch Graphed demo video

Step 3: Connect to the SQLite Database in Power BI Desktop

With the driver installed and the DSN configured, the final steps in Power BI are quite simple.

  1. Open Power BI Desktop.
  2. On the "Home" ribbon, click on "Get Data." From the dropdown, select "More..."
  3. In the "Get Data" window, use the search bar to find "ODBC" or select it from the "Other" category. Select ODBC and click "Connect."
  4. A new ODBC dialog window will appear. From the Data Source Name (DSN) dropdown menu, select the DSN you created in the previous step (e.g., "MyAppDB").
  5. You can leave the "Advanced options" section blank for now. Click "OK."
  6. Because SQLite is a file-based database, it typically doesn’t require credentials. Power BI may ask for authentication. If it does, you can usually proceed with the defaults (Anonymous or Windows authentication) by clicking "Connect."

Power BI will now establish a connection. If successful, you will see the Navigator window. This window will show you all the tables and views available in your SQLite database. You can select the tables you want to import, just as you would with any other data source, and then click "Load" to bring the data into your model or "Transform Data" to open the Power Query Editor for cleaning and shaping.

Troubleshooting Common Issues

Sometimes you might run into a snag. Here are the most frequent problems and how to solve them.

Problem: My DSN doesn't show up in the Power BI dropdown.

This is almost always a 32-bit vs. 64-bit mismatch. You have likely either:

  • Installed the 32-bit ODBC driver instead of the 64-bit one.
  • Configured the DSN using the 32-bit ODBC Administrator instead of the 64-bit one.

Solution: Double-check that you have the 64-bit driver installed and that you are using the "ODBC Data Sources (64-bit)" application to create the DSN.

Problem: I get an architecture mismatch error.

This is the same issue as above. Your Power BI (64-bit) is trying to use a driver from a different architecture (32-bit). Re-install the correct driver and re-create the DSN in the 64-bit administrator tool.

Problem: I get a "Datasource name not found and no default driver specified" error.

This error means Power BI can't find the DSN you selected. This could be because the DSN was created as a User DSN for a different Windows user, or it was corrupted or deleted. Go back to the ODBC Administrator (64-bit) and verify that the DSN exists and is configured correctly.

GraphedGraphed

Still Building Reports Manually?

Watch how growth teams are getting answers in seconds — not days.

Watch Graphed demo video

Alternative Method: Using a Connection String (No DSN)

If you prefer not to set up a DSN, you can connect directly using a connection string in Power BI. This method embeds the connection details directly into your Power BI report.

  1. In Power BI's "Get Data > ODBC" dialog, expand the "Advanced options."
  2. In the "Connection string" field, you'll enter the details manually. The format is simple:
  3. Click "OK." This method bypasses the need for a pre-configured DSN and can be useful for sharing reports, as the path is included directly. However, if the file path changes, you will need to update the query in Power BI.

Final Thoughts

Connecting Power BI to SQLite opens up a wide range of possibilities for analyzing data from applications and smaller projects. By installing the correct 64-bit ODBC driver and configuring a DSN or connection string, you can easily pull your SQLite tables into Power BI and start building insightful reports and dashboards.

Setting up individual data source connections like this is foundational, but it's often just the first step. For many marketing and sales teams, the real challenge is bringing together data from dozens of different platforms - Google Analytics, Shopify, Salesforce, Facebook Ads, and more - without the technical headache. At https://www.graphed.com/register, we handle that part for you. Our platform uses simple natural language to instantly connect your data sources and create live, interactive dashboards. Instead of worrying about drivers and connection strings, you can just ask, "Show me my campaign ROI from Facebook Ads versus sales from Shopify," and get your answer in seconds.

Related Articles