Sigma vs. Omni Analytics

Sigma is the AI runtime layer for analytics, agents, and apps built on live warehouse data. It is a cloud analytics and business intelligence platform that helps business and technical teams explore live data, build reports and applications, and deploy AI agents directly on a cloud data warehouse, using a familiar spreadsheet interface alongside SQL, Python, and AI. - Analytics: Use Sigma for classic business intelligence workloads like pixel-perfect reporting, embedded analytics, and self-service access to data in an Excel-like interface. Build with AI, spreadsheet functions, SQL, or Python.

Omni is the AI analytics platform that helps Condé Nast, Guitar Center, and dbt Labs accelerate AI adoption, improve self-service, and embed AI analytics into their products. Powered by a governed semantic layer, Omni grounds AI in your business metrics and logic to deliver accurate, contextual insights. Users explore data with AI, spreadsheets, SQL, or a point-and-click UI to receive trustworthy, enterprise-grade intelligence across workflows. Every team moves faster: analysts focus on strategy, stakeholders get reliable answers, and product teams build smarter applications.