Sigma - 2026 Pricing, Features, Reviews & Alternatives

Sigma is a cloud-based, warehouse-native business intelligence and analytics platform that queries cloud data warehouses (including Snowflake and Databricks) directly, without extracting, importing, or copying data. Business users interact through a familiar spreadsheet interface that compiles to SQL at runtime, while technical users access full SQL editors, Python notebooks, and natural language querying in the same workspace. The platform supports analytics workbooks, dashboards, pixel-perfect reports, data apps, embedded analytics, and governed AI applications, all operating on live warehouse data at petabyte scale.

Designed for enterprise and mid-market organizations across financial services, retail, technology, healthcare, logistics, media, and manufacturing, Sigma serves both technical users (data engineers, analysts, data scientists) and non-technical business users in finance, marketing, operations, and sales. A governed semantic layer with reusable data models, metrics, and business logic ensures consistency across all user types. Write-back via Input Tables allows users to capture inputs and trigger warehouse updates directly from workbooks. Embedded analytics options support white-label delivery of analytics to external customers without a separate BI stack.

Sigma's AI capabilities, including Ask Sigma, Sigma Assistant, Sigma Agents, AI Builder, AI Query, Explain Viz, and Formula Assistant, all operate within the customer's existing warehouse compute environment. AI operations inherit warehouse roles, row-level security, and permissions, producing auditable, governed outcomes. MCP integration connects Sigma bidirectionally with third-party AI models and external enterprise systems. Security and compliance features include OAuth, audit logs, SOC 2 Type II, and ISO 27001 certification, with support for private connectivity via PrivateLink and Private Service Connect.