Tableau

Visual analytics platform owned by Salesforce, sold per user

Overview

Tableau is a visual analytics platform known for drag-and-drop exploration and high-quality interactive charts. Salesforce completed its acquisition of Tableau on 1 August 2019, combining what it described as the world’s number one CRM with Tableau’s analytics platform.[4] The product family includes Tableau Cloud with browser-based web authoring, Tableau Desktop and Prep Builder for authoring and data preparation, Tableau Pulse, and Tableau Next, an agentic analytics product built on Salesforce’s data and AI platform.[3] Salesforce publishes starting prices for Tableau Cloud from US$15 per user per month billed annually, with Tableau Next from US$40 per user per month; CRM Analytics, a separate analytics product inside Salesforce, starts at US$140.[3] Tableau’s strengths are visual exploration and an extensive user community. Its main limitations are cost compared with Power BI for large audiences, and a product direction increasingly tied to the Salesforce platform, which matters less to organisations that do not use Salesforce CRM.

What Tableau does

  • Drag-and-drop visual exploration
  • Tableau Cloud with web authoring
  • Tableau Pulse metrics
  • Tableau Next agentic analytics
  • Slack integration
  • Tableau Desktop and Prep Builder

Tableau pricing

Tableau Cloud from US$15 per user per month, billed annually (entry role). Tableau Next from US$40 per user per month, billed annually. CRM Analytics from US$140 per user per month. Higher-capacity and enterprise editions are quoted.

Tableau strengths and limitations

Strengths

  • Strong visual exploration
  • Desktop and browser authoring
  • Large user community and training ecosystem
  • Integration with Salesforce data and Slack
  • Deep visual exploration tools for analysts
  • Choice of hosted or self-hosted deployment

Limitations

  • Full authoring roles cost more than the entry price
  • Direction tied to Salesforce platform
  • Annual billing on published prices
  • Data preparation is a separate tool
  • Role-based licensing makes total cost depend on user mix
  • Every deployment needs at least one Creator licence

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