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Tableau API Documentation

Tableau can help anyone see and understand their data. Connect to almost any database, drag and drop to create visualizations, and share with a click.

API Overview

Tableau is a powerful data visualization and business intelligence platform that enables users to transform raw data into interactive, insightful visualizations. It offers a user-friendly drag-and-drop interface for creating dashboards, reports, and interactive visualizations. Tableau connects to various data sources, including databases, spreadsheets, and cloud services, allowing users to access and analyze data from multiple sources. With its advanced analytics capabilities, Tableau empowers users to explore data, identify trends, and make informed decisions. Tableau API provides a comprehensive set of REST APIs, webhooks, and documentation to enable developers to integrate Tableau with their applications and customize their analytics experience. The extensive documentation includes detailed guides, code samples, and tutorials to help developers get started quickly. The REST APIs allow developers to programmatically interact with Tableau, perform tasks such as creating and managing workbooks, data sources, and visualizations. Webhooks enable developers to receive real-time notifications when specific events occur within Tableau, such as when a workbook is published or a subscription is updated. Tableau also enforces rate limits to ensure fair and efficient usage of its APIs, preventing excessive API calls and potential performance issues.

Authentication

SAML & MFA
SSO Supported

Rate Limits

Developer

100 requests per minute

Explorer

10,000 requests per day

Viewer

50,000 requests per day

FAQs

Details

Popular

Provider

Country HQ

US

API Type

REST

Categories

Dashboards And Data Visualization

Alternatives

Important URLs

Last Updated on

2024-04-03

Created At

2024-03-04

Screenshots

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We do our best to ensure that the data we release is complete, accurate, and useful. However, because we are not able to verify all the data, and because the processing required to make the data useful is complex, we cannot be held liable for omissions or inaccuracies.

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