How to Connect Power BI to AWS RDS

Cody Schneider8 min read

Connecting Power BI directly to your AWS RDS database unlocks real-time business intelligence without the need for manual data exports. While it might sound technical, the process is quite manageable once you know the exact steps to follow. This guide will walk you through everything you need, from gathering your AWS credentials to configuring security settings and finally loading your database information into Power BI so you can start building insightful reports.

What is AWS RDS and Why Connect It to Power BI?

First, let's quickly cover the basics. Amazon Relational Database Service (AWS RDS) is a cloud service that makes it easy to set up, operate, and scale a relational database in the AWS cloud. It supports popular database engines like PostgreSQL, MySQL, MariaDB, Oracle, and Microsoft SQL Server. Essentially, it takes care of the tedious database administration tasks so you can focus on your data.

The magic happens when you connect this cloud database to Power BI. Instead of working with static CSV files or complex server connections, you can pull live data directly from your application's database. This means your sales dashboards, product analytics, and operational reports are always up-to-date, reflecting the most current state of your business.

Benefits of linking RDS and Power BI include:

  • Live Data Visualization: Create interactive dashboards that update automatically as new data comes into your RDS instance.
  • Centralized Reporting: Blend your RDS data with other sources (like spreadsheets, SaaS apps, etc.) within Power BI to get a complete view of your business.
  • No More Manual Exports: Eliminate the error-prone process of downloading reports and shuffling spreadsheets back and forth.

Before You Start: Essential Prerequisites

Gathering a few key pieces of information upfront will make the connection process incredibly smooth. Double-check that you have the following ready to go before opening Power BI.

On the AWS Side

You'll need an active AWS account and an RDS database instance already set up and running. Once that's confirmed, you need to collect specific details from your AWS Management Console:

  • RDS Endpoint: This is the unique host address for your database. You can find it in the "Connectivity & security" tab of your RDS database details page.
  • Port Number: The port your database uses to communicate. This is also found in the "Connectivity & security" tab. Defaults are typically 5432 for PostgreSQL, 3306 for MySQL, and 1433 for SQL Server.
  • Database Name: The name of the specific database you want to connect to on the RDS instance.
  • User Credentials: A username and password that have sufficient permissions to access the specified database. For security, it's a best practice to create a dedicated read-only user for Power BI.
  • Firewall Configuration: Your RDS instance is protected by a VPC Security Group, which acts as a firewall. You must configure it to allow inbound traffic from the IP address of the machine running Power BI Desktop. We'll cover this step-by-step below.

On the Power BI Side

Your local setup needs to be ready as well.

  • Power BI Desktop: Make sure you have the latest version of Power BI Desktop installed on your computer.
  • Necessary Drivers: Depending on the database engine your RDS instance is running, you might need to install a specific data provider. For example, to connect to PostgreSQL, you’ll need to install the Npgsql data provider. If you attempt the connection and it fails with a driver-related error, this is usually the culprit.

Step-by-Step Guide: Connecting Power BI to Your AWS RDS Database

With your prerequisites in hand, you're ready to make the connection. Follow these steps carefully.

Step 1: Get Your AWS RDS Connection Details

Log in to your AWS Management Console and navigate to the RDS service. From your list of databases, click on the instance you want to connect to. Look for the "Connectivity & security" section. Here you will find the two most important details:

  • Endpoint: A long string like mydatabase.c123xyz.us-east-1.rds.amazonaws.com. Copy this value.
  • Port: A number like 5432. Take note of this.

You should also know the specific database name and the username/password you intend to use.

Step 2: Configure Your AWS Security Group (The Most Important Step)

This is where most connection issues happen. Your RDS database is locked down by default and won't accept traffic from unknown sources. You need to explicitly tell it to trust the computer you're working on.

  1. In the same "Connectivity & security" section of your RDS instance, click on the active VPC security group.
  2. This will open the EC2 security group settings. Select the "Inbound rules" tab and click "Edit inbound rules."
  3. Click "Add rule." A new line will appear. You need to configure it correctly:
  4. Click "Save rules."

Warning: Never set the source to 0.0.0.0/0 (Anywhere). This opens your database to the entire internet and poses a significant security risk.

Step 3: Open Power BI and Select a Data Source

Now, open Power BI Desktop. In the "Home" tab on the ribbon, click "Get Data." In the search box that appears, type the name of your database engine. You'll see options like:

  • PostgreSQL database
  • MySQL database
  • SQL Server database

Select the one that matches your AWS RDS instance and click "Connect."

Step 4: Enter Your Connection Details

A dialog box will appear asking for the server and database information you gathered in Step 1.

  • Server: Paste the full Endpoint URL you copied from the AWS console. Make sure to include the port number after a colon, like this: mydatabase.c123xyz.us-east-1.rds.amazonaws.com:5432.
  • Database: Enter the name of the specific database you want to connect to.

There might be an "Advanced options" section, but for an initial connection, you can typically leave it as is. Click "OK."

Step 5: Enter Your Database Credentials

Power BI will now ask you how you want to authenticate. Select the "Database" option on the left. Then, enter the specific User name and Password for the database user you've designated for analysis. Click "Connect."

Step 6: Handle Encryption Pop-Up (If It Appears)

You may see a message that says "Encryption Support," warning you that a secure connection cannot be established. If you haven't explicitly configured SSL/TLS encryption on your RDS instance, this is normal. You can click "OK" to connect using an unencrypted connection. For company data, you should explore configuring SSL on your RDS instance for enhanced security.

Step 7: Navigate and Load Your Data

Success! The Power BI Navigator window will now open, showing you a structured view of your RDS database. You'll see a list of all the tables and views your user has access to.

Check the boxes next to the tables you wish to analyze. A preview of the data will appear on the right. Once you've selected everything you need, you have two options:

  • Load: This will import the selected tables directly into your Power BI data model. This is fine for smaller tables.
  • Transform Data: This is the recommended choice for larger datasets. It opens the Power Query Editor, where you can filter rows, remove unnecessary columns, and clean your data before loading it into your report. This dramatically improves performance.

After you load or transform the data, you can start dragging fields onto the report canvas to build visuals just like with any other data source.

Troubleshooting Common Connection Issues

If you encounter an error, it's typically one of a few common problems.

  • Cannot connect / Timeout error: This is almost always a security group problem. Go back to Step 2 and double-check that the inbound rule has the correct port and, most importantly, the correct IP address under "Source." Keep in mind that your public IP address can change, especially if you're on a home network.
  • Authentication / Password error: This is straightforward - double-check that the username and password are correct. Also, verify that the database user actually has connection permissions within the database itself.
  • "Cannot find the provider" error: This means you need a driver. For PostgreSQL, install the Npgsql provider. For MySQL, you might need the MySQL Connector/NET. A quick search for "Power BI [your database engine] connector" should point you to the right installer.

Final Thoughts

Connecting Power BI to your AWS RDS instance transforms your raw cloud data into a powerful tool for visual analysis. By carefully preparing your credentials, correctly configuring your security group firewall, and entering the details in Power BI, you can establish a live, secure connection for real-time reporting.

Setting up direct data connections is the foundation of powerful analytics, but it can still be a technical hurdle, especially when dealing with dozens of scattered marketing and sales platforms. To help teams get insights faster, we created Graphed. It lets you connect all your data sources like Google Analytics, Shopify, and Salesforce in just a few clicks. From there, you just ask for the dashboards and reports you need in plain English - no manual setup, no wrestling with firewall rules, and no complex configuration required.

Related Articles

How to Connect Facebook to Google Data Studio: The Complete Guide for 2026

Connecting Facebook Ads to Google Data Studio (now called Looker Studio) has become essential for digital marketers who want to create comprehensive, visually appealing reports that go beyond the basic analytics provided by Facebook's native Ads Manager. If you're struggling with fragmented reporting across multiple platforms or spending too much time manually exporting data, this guide will show you exactly how to streamline your Facebook advertising analytics.

Appsflyer vs Mixpanel​: Complete 2026 Comparison Guide

The difference between AppsFlyer and Mixpanel isn't just about features—it's about understanding two fundamentally different approaches to data that can make or break your growth strategy. One tracks how users find you, the other reveals what they do once they arrive. Most companies need insights from both worlds, but knowing where to start can save you months of implementation headaches and thousands in wasted budget.