Sigma Computing

Sigma Computing is a cloud-native analytics and AI applications platform that lets business users analyze governed cloud data through a spreadsheet-style interface while supporting dashboards, reporting, embedded analytics, data applications, and operational workflows. Sigma queries data directly in the connected data platform rather than requiring a separate analytics extract layer.

1. Analytics workflow: users can explore live warehouse data with spreadsheet-style tables, pivots, charts, formulas, SQL, and dashboards. Sigma pushes queries to the underlying data platform, allowing teams to work with governed warehouse data while retaining spreadsheet-like interaction.
2. AI capabilities: Sigma Assistant supports natural-language analysis and can generate charts and tables, while AI formula tools can write, correct, and explain calculations. Sigma also provides Sigma Agents for task-specific analysis and automated actions, but agents and Assistant’s dashboard/application-building modes remain public beta features as of August 2026.
3. Operational fit: Input Tables let users enter or update data that is stored in the connected warehouse, while Actions can update input tables, call APIs or stored procedures, and support workflows such as forecasting, approvals, reconciliation, and operational applications. Embedded analytics extends these capabilities into customer-facing products.
4. Commercial considerations: Sigma uses View, Act, Analyze, and Build license tiers, with pricing provided by quote. It also applies usage-based credits to selected billable activities, including collaborative data inputs, integration actions such as API or stored-procedure calls, and report exports.

Sigma is particularly relevant to organizations that want spreadsheet-style analysis, governed cloud data, operational applications, and emerging agentic workflows to operate within the same warehouse-connected environment.