G2 Vendor Directory

Cube vs. Tableau

A side-by-side comparison based on G2 review data.

MetricCube

by Cube

Tableau

by Salesforce

Overall rating4.64.4
Review count274,234
Ease of use9.08.5
Ease of setup8.78.5
Quality of support9.78.6
Meets requirements9.08.9
NPS81.48148155.724442
Small Business51.9%21.4%
Mid-Market40.7%36.8%
Enterprise7.4%41.9%
Total page views31112,496
Total LLM citations1,61950,535

Cube

Cube is the agentic analytics platform — built on a semantic layer. Cube is the AI-native generation of business intelligence. It's one platform for two use cases: internal BI, where data teams and business users analyze their own company's data, and embedded analytics, where software companies ship analytics inside their own products. The same governed semantic layer powers both. What makes AI answers trustworthy in production is the semantic layer underneath them. Cube was built around the semantic layer from day one rather than retrofitting one onto a dashboard- or notebook-first tool.

Pros

  • Ease of Use
  • Powerful BI
  • Customization
  • Innovation
  • Integrations
  • Performance

Tableau

Tableau is the world’s leading AI-powered analytics platform. Whether you are a business user or an analyst, Tableau turns trusted data into actionable insights. With our flexible, interoperable platform, you can: Turn data into action at scale with human and agent collaboration. Tableau Next delivers agentic AI for faster data-insight-action workflows. It surfaces insights, provides proactive recommendations, and helps you take action in the flow of work. Scale data-driven insights with complete operational confidence. Tableau Cloud enables fully managed analytics at scale.

Pros

  • Ease of Use
  • Data Visualization
  • Visualization
  • Features
  • Intuitive
  • User Interface