How Many Data Sources Are Available in Power BI?

Power BI’s ability to connect to a massive range of data sources is a major reason for its popularity in the business intelligence world. If you've ever wondered just how many different platforms, files, and databases it can pull from, you're in the right place. This article breaks down the data sources available in Power BI by category, explains how they work, and gives you a clear picture of what's possible.

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Why Data Connectivity is So Important

Modern businesses don’t have one single source of truth, they have dozens. Your sales data lives in a CRM like Salesforce, your website traffic is in Google Analytics, your ad spend is spread across Facebook and Google Ads, your financial data is in an accounting system, and important operational metrics might be tucked away in an old SQL database or even a collection of Excel spreadsheets.

The value of a business intelligence tool like Power BI isn’t just in its ability to create slick charts and graphs. Its real power comes from its ability to act as a central hub, connecting to all these scattered data sources and bringing them together in one place. Effective data connectivity turns isolated datasets into a cohesive, holistic view of your business performance, allowing you to see how your marketing efforts impact sales or how operational efficiency affects customer satisfaction.

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So, Exactly How Many Data Sources Are There?

If you’re looking for a precise number, you’ll find it’s a moving target. Microsoft is constantly adding new native connectors and updating existing ones. As of today, Power BI supports well over 150 unique connectors, and that number continues to grow with each monthly update.

However, the exact count is less important than the sheer breadth and variety of the available connections. It's more helpful to think about the sources in categories, as this gives you a better sense of Power BI's flexibility and where it fits into your existing tech stack. Most business needs can be met by the available connectors, and for everything else, there are powerful generic options that act as a catch-all.

Breaking Down Power BI Data Sources by Category

Power BI groups its data connectors into several logical categories inside the “Get Data” window. Let’s explore the most common ones and what they mean for your business.

1. Flat Files: The Universal Starting Point

These are the most basic and common data sources for any analysis task. "Flat files" are simple files that store data in plain text or binary format. They are the universal language of data export, meaning almost any application in the world can give you its data in one of these formats.

• Excel (.xlsx, .xls): The undisputed king of business data. Every team uses it, from marketing to finance. Power BI has a robust connector for Excel, allowing you to pull data from specific tables, ranges, or entire sheets.
• Text/CSV (.csv, .txt): The CSV (Comma Separated Values) is the simplest form of structured data. It’s the go-to format for exporting large datasets from SaaS tools, CRMs, or any system that doesn’t have a direct Power BI connector.
• XML and JSON (.xml, .json): These are commonly used for data exchange on the web, especially via APIs. If you're pulling data from a web service, chances are it will be in one of these structured formats. Power BI can parse them and transform their nested structures into clean tables.
• Folder: A powerful feature that allows you to connect to a folder of files (e.g., a folder of monthly sales CSV reports) and combine them into a single table. Power BI automatically appends new files added to the folder upon refresh.

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2. Databases: The Core of Business Operations

For businesses with more formal data infrastructure, databases are the central repository for transactional data. Power BI connects to almost every major database system on the market, giving you direct access to your core operational data.

• SQL Server: As a Microsoft product, Power BI has first-class integration with SQL Server. This is arguably its most seamless and powerful database connector.
• Azure SQL Database: The cloud-based version of SQL Server, also with excellent integration.
• MySQL, PostgreSQL, Oracle, SAP HANA: Power BI provides native connectors for all the other giants in the database world. Whether your data is in an open-source system or an enterprise-grade Oracle database, you can likely connect to it directly.
• Amazon Redshift & Google BigQuery: It also plays nice with competitors' cloud data warehouses, acknowledging that many businesses operate in multi-cloud environments.

When connecting to databases, you often get to choose between Import mode (which copies the data into your Power BI file) and DirectQuery mode (which queries the database live). DirectQuery is great for real-time dashboards with massive datasets, while Import offers faster performance for smaller datasets.

3. Power Platform: Microsoft's Own Ecosystem

Microsoft encourages users to stay within its ecosystem by offering powerful integrations between its Power Platform products. These connectors allow you to build complex, layered data models and reports.

• Power BI Datasets: Allows you to connect a new Power BI report to an existing, published dataset. This is huge for large teams, as it enables them to build multiple reports from a single, certified source of truth.
• Dataverse: The underlying data platform for Dynamics 365 and Power Apps. If your company uses these for CRM or custom business app development, this connector is essential.
• Power BI Dataflows: Lets you perform data transformation and cleaning in the cloud, creating reusable data "flows" that can feed into multiple Power BI datasets.

4. Azure: Tapping into the Microsoft Cloud

For companies heavily invested in Microsoft's cloud platform, Power BI provides a suite of connectors designed for Azure data services. These are built for handling Big Data scenarios and advanced analytics.

• Azure Synapse Analytics: Microsoft's unified analytics platform that combines data warehousing and Big Data analytics.
• Azure Blob Storage & Azure Data Lake Storage: These connectors let you pull data from files (like CSVs or Parquet files) stored in Microsoft's cloud storage solutions.
• Azure Cosmos DB: For connecting to Microsoft's globally-distributed, multi-model NoSQL database.

5. Online Services: Connecting to Your SaaS Stack

This is one of the most valuable categories for marketing, sales, and operations teams. These connectors pull data directly from the cloud-based apps you use every day, often saving you hours of manual exporting and importing.

• Salesforce: Connect directly to Objects and Reports in your Salesforce account to build sales pipeline dashboards and performance reports.
• Google Analytics: Pull website metrics directly into Power BI to combine with sales and spending data for ROI analysis.
• Dynamics 365, SharePoint Online, Zendesk, QuickBooks Online: These are just a few examples of the dozens of connectors available for popular CRM, collaboration, customer service, and accounting platforms.

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What to Do When a Power BI Connector Doesn’t Exist?

Even with hundreds of options, you may find a niche tool vital to your business that doesn't have a pre-built Power BI connector. Don't worry, you still have options.

1. See if a Web API is Available: Many modern apps, even without a formal Power BI connector, offer an API (Application Programming Interface). You can often use Power BI’s generic Web Connector to pull data from an API source, usually returned in JSON or XML format.
2. Use the ODBC/OLEDB Connector: This is a generic, decades-old standard for connecting to databases. If your application or database has an ODBC driver, you can likely use this fallback connector to establish a connection.
3. Export to a Supported Format: This is the most common workaround. Simply export the data from your application as a CSV or Excel file and save it in a location Power BI can access, like a local folder, SharePoint site, or Blob Storage. While effective, this process introduces a manual step and your data will only be as new as your last export.
4. Leverage a Data Integration Tool: Services like Make or Zapier can act as a bridge. You can create an automation that pulls data from your unsupported tool and pushes it into something Power BI can connect to, like a Google Sheet, an Azure SQL database, or even just emails a CSV to be saved in a folder.

Final Thoughts

Power BI's real strength lies in its extensive connectivity, allowing it to serve as the analytical brain for your entire business ecosystem. While the exact number of connectors is always growing, what’s more important is understanding the different types - from simple files and standard databases to the wide array of online SaaS platforms - and knowing you have flexible options like the Web and Folder connectors to handle almost any requirement.

While the depth of Power BI is incredible, we know that getting all those connectors set up, managing data models, and writing DAX formulas can feel like a full-time job. That's why we created Graphed. We provide native connections to the marketing and sales data sources you care about most - like Google Analytics, Salesforce, and Shopify - so you don't have to navigate complex setup processes. Instead of struggling with data wrangling, you can simply ask questions in plain English to build real-time dashboards and get instant answers about your business performance.