Sigma Review, Pricing & Alternatives (2026)

Sigma Computing is an independent private company founded in 2014 by Rob Woollen and Jason Frantz. It sells cloud business intelligence and data application software that connects directly to cloud warehouses. The company reported more than 1,350 customers, over $100 million in annual recurring revenue, 83% fiscal year growth, and more than 250 customers above $100,000 in annual recurring revenue in 2025. On May 2026, Sigma announced an $80 million Series E at a $3 billion valuation, with company reported figures of $200 million ARR, more than 2,000 customers, and growth above 100% year over year. Sigma is proprietary software. Its documented deployment model is cloud only, with no on premises option published.

A normal Sigma workflow begins with a connection to Snowflake, Databricks, BigQuery, Redshift, PostgreSQL, or another supported source. A user selects governed tables or data models, then explores warehouse data in a spreadsheet style grid using formulas, pivots, charts, dashboards, and controls. Builders can add SQL, Python, reusable models, input tables, actions, workflows, and applications. Input Tables allow forecasts, decisions, and other user inputs to be written back to supported warehouses. Sigma also provides embedded analytics, API connectors, warehouse writeback, and administrative controls. Sigma Assistant answers natural language questions and can build AI Apps. Sigma Agents provide no code agents that operate within warehouse security and governance.

Sigma normally runs queries against live warehouse data instead of maintaining a separate extract for analysis. That design keeps warehouse permissions and compute central to the product, while Sigma supplies the workbook and application layer. Documented capabilities include spreadsheet formulas, SQL, Python, materialization, writeback, embedding, APIs, actions, and AI features. An April 2025 company announcement highlighted Ask Sigma, actions, enhanced data models, Redshift Input Tables, and Snowflake and Databricks OAuth write access. In May 2026, Sigma announced AI Apps, Sigma Agents, and additional Sigma Assistant capabilities alongside its Series E. These releases extend the product beyond dashboards into governed operational applications, although they do not remove dependence on the connected warehouse.

Sigma does not publish dollar prices, seat costs, or public usage allowances. Quote only, order form pricing applies, with a free trial and free Sigma Public service also available. Organizations created on or after March 4, 2025 use View, Act, Analyze, and Build tiers. View covers prepared workbook and report consumption, controls, drill paths, aggregated underlying data, PDF and PNG export, comments, Sigma Assistant, and chart explanations. Act adds forms, Input Table editing, advanced actions, broader underlying data access, scheduling, alerts, and exports. Analyze adds ad hoc analysis and AI formula assistance. Build adds creation, modeling, materialization, SQL, Python, integrations, credentials, APIs, and administration. Older organizations may use Lite, Essential, or Pro.

Budgeting is difficult because Sigma publishes no tier prices or public usage allowances, and usage based billing can charge credits for specified billable events or user activity. Warehouse compute also remains a material cost because queries run in the customer’s warehouse. Sigma is a poor standalone choice without a cloud warehouse and offers no on premises deployment. Looker has a stronger code defined semantic layer, while Sigma has the more approachable spreadsheet workflow and native writeback. Tableau offers deeper visualization tooling, and Power BI generally costs less for Microsoft centered organizations. Teams that already operate a cloud warehouse and want spreadsheet analysis, writeback, and governed data applications should pick Sigma.