Sigma Computing provides a spreadsheet-like interface for cloud data warehouse analytics, targeting users comfortable with Excel but needing enterprise scale. Pricing is consumption-based through compute credits. The familiar spreadsheet interface (rows, columns, formulas) connects directly to Snowflake, BigQuery, Databricks, and Redshift—no data extraction or copying. Formulas reference live warehouse data with pushdown computation at warehouse scale. Features include pivot tables, conditional formatting, and Excel-like functions operating on billions of rows. AI features include formula suggestions and automated insights. Collaboration enables real-time co-editing similar to Google Sheets. The approach bridges the gap between self-service analytics and data warehouse power, particularly for finance teams accustomed to spreadsheet workflows. Page should cover: spreadsheet interface capabilities, supported warehouses and connection setup, formula language reference, comparison with traditional BI tools, pricing model explanation, use cases for finance and operations teams, and Excel migration path.