Salesforce Tableau

Name: Salesforce Tableau
Brand: Salesforce
Rating: 4.4 (12858 reviews)

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Est 1999|Valuation $203.1B|Raised $43.2B|1 Ref Customers

LinkedIn 6.7M|Website|Web traffic 78.5M|FTEs 83,334|HQ San Francisco, California, US

MarketsBusiness Intelligence (BI) and Analytics Data Visualization

Platform CoversData Preparation

01Competitive Landscape

Narrative analysis

Where Tableau tends to perform well - Visualization depth and interactivity are commonly cited strengths. - The product supports many data sources and is used for dashboard design and executive presentation. Where competitors often perform better - **Power BI**: frequently selected for lower incremental cost where Microsoft licensing already exists and for closer Microsoft stack integration. - **Looker**: chosen when a centralized semantic model and governed exploration are primary requirements; Looker pricing is typically quote-based. - **Qlik**: selected in some use cases for associative analytics and alternative deployment models; pricing transparency varies. Customer patterns comparing products - Community discussions often cite Power BI adoption momentum driven by price and Microsoft ecosystem advantages. - Organizations moving from Looker to Tableau commonly note differences in how governed self-service and metric centralization are implemented.

	Salesforce Tableau	Microsoft Power BI	Google Looker (Looker Core)
Starting Price (public list)	Published per-seat pricing available from the vendor across role-based tiers (vendor-published list pricing commonly referenced)	Free desktop offering plus published per-user and premium tiers available from the vendor	Primarily quote-based (custom quote)
Most suitable for	Interactive dashboards, visual storytelling, broad BI use cases	Cost-effective rollout in Microsoft 365/Azure environments; integration with Excel/Teams	Centralized semantic modeling and governed self-service, API-first analytics
Key Strength	Visualization flexibility and a broad connector ecosystem	Price/value and Microsoft ecosystem integration	Strong modeling layer (LookML) and governance patterns
Key Weakness	Cost at scale; governance and content sprawl without process; variable support experiences	Some advanced visualization capabilities differ from Tableau; capacity/licensing complexity at scale	Pricing opacity; requires modeling discipline; less freeform visualization focus

01Competitive Landscape

Narrative analysis

Where Tableau tends to perform well

Visualization depth and interactivity are commonly cited strengths.
The product supports many data sources and is used for dashboard design and executive presentation.

Where competitors often perform better

Power BI: frequently selected for lower incremental cost where Microsoft licensing already exists and for closer Microsoft stack integration.
Looker: chosen when a centralized semantic model and governed exploration are primary requirements; Looker pricing is typically quote-based.
Qlik: selected in some use cases for associative analytics and alternative deployment models; pricing transparency varies.

Customer patterns comparing products

Community discussions often cite Power BI adoption momentum driven by price and Microsoft ecosystem advantages.
Organizations moving from Looker to Tableau commonly note differences in how governed self-service and metric centralization are implemented.

	Salesforce Tableau	Microsoft Power BI	Google Looker (Looker Core)
Starting Price (public list)	Published per-seat pricing available from the vendor across role-based tiers (vendor-published list pricing commonly referenced)	Free desktop offering plus published per-user and premium tiers available from the vendor	Primarily quote-based (custom quote)
Most suitable for	Interactive dashboards, visual storytelling, broad BI use cases	Cost-effective rollout in Microsoft 365/Azure environments; integration with Excel/Teams	Centralized semantic modeling and governed self-service, API-first analytics
Key Strength	Visualization flexibility and a broad connector ecosystem	Price/value and Microsoft ecosystem integration	Strong modeling layer (LookML) and governance patterns
Key Weakness	Cost at scale; governance and content sprawl without process; variable support experiences	Some advanced visualization capabilities differ from Tableau; capacity/licensing complexity at scale	Pricing opacity; requires modeling discipline; less freeform visualization focus