How Many Connectors Does Tableau Have?

Trying to count every single Tableau connector is a lot like trying to count the number of apps on your phone - the number is always changing. Tableau connects to a massive and ever-growing list of data sources, from simple spreadsheets to complex cloud data warehouses. This article will break down the different types of connectors Tableau offers, list some of the most popular ones, and explain what you can do if a direct connector for your tool doesn't exist.

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What Exactly is a Tableau Connector?

Think of a data connector as a bridge. On one side, you have your data sitting in a file, a database, or a web application like Salesforce. On the other side, you have Tableau, ready to turn that data into insightful charts and dashboards. The connector is the specialized bridge that allows Tableau to communicate with your specific data source, understand its structure, and pull the information it needs for analysis.

Without connectors, your analytics process would likely involve a lot of tedious manual labor: logging into a platform, exporting a CSV file, cleaning it up in a spreadsheet, and then finally importing that static file into your visualization tool. Data connectors automate this entire process, allowing you to get to the insights much faster.

The Two Main Types of Tableau Connectors

Tableau’s extensive connectivity is powered by two primary types of connectors: native and generic.

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1. Native (or Built-in) Connectors

Native connectors are custom-built by Tableau to connect seamlessly with specific data sources. They are optimized for performance, security, and ease of use. Setting one up is often as simple as entering your username and password.

Tableau bundles these connectors directly into its software, and they cover the most widely used data systems in the business world. These purpose-built connectors provide a more reliable and feature-rich experience, often allowing for live data connections that update in real-time.

Common examples of native connectors include:

• Files: Microsoft Excel, CSV/Text Files (.csv, .txt, .tab), JSON, PDF documents, and spatial files.
• Relational Databases: Microsoft SQL Server, MySQL, PostgreSQL, Oracle, and Teradata.
• Cloud Data Warehouses: Snowflake, Google BigQuery, Amazon Redshift, and Azure Synapse.
• SaaS Applications: Salesforce, Google Analytics, Marketo, and ServiceNow.

2. Generic and Custom Connectors

What happens when you have a data source that isn't on Tableau's long list of native connectors? That’s where generic and custom options come into play. These are more versatile and require a bit more technical setup but open the door to connecting to almost any data system imaginable.

• ODBC &amp, JDBC Connectors: ODBC (Open Database Connectivity) and JDBC (Java Database Connectivity) are universal standards for connecting to databases. If your database has an ODBC or JDBC driver (and most do), you can use these catch-all connectors to link it with Tableau. They act as a universal translator, allowing Tableau to send queries and receive data from sources it doesn't natively support.
• Web Data Connector (WDC): This is a powerful tool for pulling data from the web. The WDC allows developers to build connections to any data that's accessible over HTTP, meaning you can connect to internal web services, JSON data, and third-party APIs that don't have a standard connector. For example, you could use a WDC to pull data from a public weather API or a real-time stock-tracking service.
• Connector SDK: For truly custom needs, Tableau provides a Connector SDK (Software Development Kit). This enables developers to build their own fully native-like connectors for any data source, complete with custom user interfaces and optimized performance.

So... How Many Connectors Does Tableau Actually Have?

While there isn't a permanent, fixed number, as of the latest versions, Tableau offers over 100 native, built-in connectors. This figure doesn't even include the nearly infinite possibilities unlocked by generic ODBC/JDBC connections, the Web Data Connector, and custom-built connectors.

The company regularly adds new connectors and enhances existing ones with each software update, so the list yesterday is likely different from the list today. It's more helpful to think about the connectivity in categories.

File Connectors

These are the workhorses of data analysis and are often the starting point for many projects.

• Microsoft Excel (.xls, .xlsx)
• Text File (.csv, .txt, .tab)
• JSON File
• Microsoft Access
• PDF File
• Statistical File (SAS, SPSS, R)
• Spatial File (Shapefiles, GeoJSON, KML)

Database & Server Connectors

This is where Tableau established itself as a leader in business intelligence, with strong support for virtually every database on the market.

• Amazon Redshift
• Google BigQuery
• Microsoft SQL Server
• MySQL
• Oracle
• PostgreSQL
• SAP HANA
• Snowflake
• Teradata

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SaaS & Application Connectors

As more business operations move to the cloud, Tableau has kept pace by adding direct connectors for major SaaS platforms.

• Salesforce
• Google Analytics
• Google Drive & Sheets
• Dropbox
• Marketo
• Oracle Eloqua
• QuickBooks Online
• ServiceNow ITSM

What To Do When There's No Native Connector

Don't panic if your specific application isn't on the list. You have several solid options to get that data into Tableau. The best path often depends on your technical comfort level and the nature of your data source.

Option 1: Use a Generic ODBC or JDBC Driver

If your data source is some form of database, it almost certainly has an ODBC or JDBC driver available. You'll need to install and configure this driver on your machine, but once you do, you can use Tableau’s generic ODBC/JDBC connector to establish a connection. This is a common solution for connecting to more obscure or legacy database systems.

Option 2: Pull the Data into a Spreadsheet

This is a more manual, but very common, workaround. Many modern applications that lack a direct BI tool connector can still export data to Google Sheets or Excel, often through a third-party automation tool like Zapier or Make.com. You can set up a Zap to create a new row in a Google Sheet every time an event happens in your application (e.g., a new ticket created, a form submitted). Then, simply connect Tableau to that Google Sheet. The downside is that this isn't truly real-time data, and these connections can be brittle.

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Option 3: Use a Data Warehouse for Consolidation

For a more robust and scalable solution, many businesses consolidate their data first. Instead of connecting Tableau to ten different SaaS apps individually, they use an ETL (Extract, Transform, Load) tool like Fivetran to pull data from all those apps into a central data warehouse (like Snowflake or BigQuery). Then, they use Tableau's highly-optimized connector for that single data warehouse. This approach simplifies data management, improves performance, and creates a single source of truth for all your analytics.

Option 4: Leverage the Web Data Connector (WDC)

If you have access to a developer, the WDC is an incredibly flexible option. It can be used to build a lightweight connector for nearly any reachable web API. This puts data from thousands of public and private APIs at your fingertips for visualization in Tableau.

Final Thoughts

Tableau's strength lies not in a fixed number of connectors, but in its flexible and layered approach to data connectivity. With over 100 optimized native connectors and a robust set of generic and custom tools like ODBC and the Web Data Connector, you can get data from almost anywhere into Tableau for analysis. The real decision isn’t if you can connect, but how you choose to do it.

Sometimes, figuring out drivers, pipelines, and developer kits just to create a simple dashboard can feel like overkill. We built Graphed to remove this complexity altogether. You can connect your marketing and sales sources like Google Analytics, Shopify, and Salesforce with just a few clicks. Best of all, instead of spending hours learning a complex interface, you just ask for the report you want in plain English. Graphed builds the real-time dashboard for you in seconds, letting you focus on insights, not setup.