Yellowfin BI vs. Cube

Yellowfin BI is a data analytics platform that helps users make faster decisions, trusted by over 29,000 organizations and 3 million end-users worldwide for over two decades. Built for both embedded and enterprise BI use cases, with strong data security and governance, it can be deployed on-premise, in the cloud, or in hybrid environments. The platform uses AI to proactively surface trends and outliers, answer questions asked in natural language, and transform data into interactive stories and live reports that decision-makers actually use.

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.