Data Connectivity

Create connectors to data sources that are not currently supported by Tableau, including websites and custom applications.

Web Data Connector (WDC)

Data Connectivity

The WDC is a collection of APIs that enable developers to connect Tableau to any data on the web.

ODBC Connection

Data Connectivity

Tableau lets you connect to ODBC-compliant sources using its built-in ODBC connector.

Web Data Connector (WDC)

The WDC is a collection of APIs that enables developers to connect Tableau to any data on the web.

Use Cases: Create custom connections to data on the web and make that data available in Tableau.

Benefits: Create your own WDC that reads data from virtually any site that publishes data in JSON, XML, or HTML. Allows for interactivity with your user through forms for selection and filtering.

Examples of existing WDCs: Reddit, Jira, Strava, Twitter, Facebook, Blockspring.

Level of Support: Tableau-supported

Resources:

ODBC (Open Database Connectivity)

ODBC is supported by a wide array of data sources. Tableau lets you connect to any of these ODBC-compliant sources using its built-in ODBC connector.

Tableau and ODBC: Learn ODBC basics and how Tableau works with ODBC drivers Learn More

Customizing and Tuning: Learn how to customize your ODBC connection to improve performance with Tableau Learn More

Level of Support: As-Is

Hyper API

Data Connectivity

Create custom scripts that interact with extract (.hyper) files.

Extract API

Data Connectivity

Create custom scripts that pull your data into Tableau data extracts.

Hyper API

Create custom scripts that interact with extract (.hyper) files.

Use Cases: Connect to data sources with the Hyper API and write the data into extract files (in the .hyper file format for Tableau 10.5 and later). Write custom scripts that update data in existing extract files or read data from them.

Benefits: If you can connect to your data, you can use the Hyper API to create data extracts that improve performance and provide offline access. If you have data sources that are not currently supported, you can use the Hyper API to get the data into Tableau. If you want to update data within extract files, you can use the Hyper API to update the extract. If you need to access data from an extract, you can now write a script that reads the data from the extract.

Level of Support: Tableau-supported

Resources:

Extract API

Create custom scripts that pull your data into Tableau data extracts.

Use Cases: Connect to data sources with the Extract API and write the data into extract files (in the .hyper file format for Tableau 10.5 and later).

Benefits: If you can connect to your data, you can use the Extract API to create data extracts that improve performance and provide offline access. If you have data sources that are not currently supported, you can use the Extract API to get the data into Tableau. Runs on MacOS, Windows, and Linux systems, and your choice of programming language (C, C++, Java, and Python).

Level of Support: Tableau-supported

Resources:

  • Help Extract API 2.0 for .hyper format
  • Samples (.hyper format)
  • Help Tableau SDK for .tde format, if you are using Tableau 10.4 and earlier
  • Samples (.tde format)

More resources

Community

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GitHub

Find Tableau's repositories to get the latest APIs and samples, submit issues, and more.

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Support

Learn more about support for our APIs and developer tools.

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