Sigma Computing Review
VisitThe AI runtime for business
Sigma is a business intelligence and AI application platform for building analytics, apps, and agents on cloud data warehouses.
AI Panel Score
0 AI reviews
The AI runtime for business
Sigma is a business intelligence and AI application platform for building analytics, apps, and agents on cloud data warehouses.
AI Panel Score
0 AI reviews
Sigma works as a spreadsheet-style interface layered on top of a cloud data warehouse. Filters, pivots, group-bys, and formulas that users build in the UI are compiled into SQL in the warehouse's native dialect and executed where the data lives, with results returned to the browser. This means users can analyze large datasets using familiar spreadsheet mechanics without exporting files or waiting on pre-built extracts, and can drill into individual records from dashboards or reports.
The platform includes an AI Toolkit for natural language queries and LLM functions embedded in spreadsheet cells, along with Sigma Agents for governed, scaled interactions with data. Sigma Reveal provides ad hoc data discovery through pivoting and grouping without requiring pre-built dashboards or SQL knowledge. For technical users, Sigma supports writing Python and SQL directly inside workbooks alongside the spreadsheet editor. Additional capabilities include pixel-perfect paginated reporting with scheduled exports and bursting, row-level security, embedded analytics with white-label theming and multitenant controls, and a set of prebuilt AI Applications for use cases like budget variance analysis, demand planning, pipeline forecasting, and territory management.
Lets teams build AI-driven apps on cloud data for use cases like budget variance, demand planning, and territory management, without writing code.
Enables users to ask questions in natural language and use LLM functions inside spreadsheet cells to analyze warehouse data.
Provides governed agents that can act on data at scale to automate analysis and workflows.
Provides governed metrics and reusable business definitions so teams get consistent, trusted data across analytics and AI.
Builds board-ready, paginated reports with layout control, scheduled exports, and bursting for distribution.
An interactive data discovery tool that lets users pivot and group data to uncover insights instantly without pre-built dashboards or SQL.
Allows users to combine live warehouse data with manual entries for planning, forecasting, and closing the loop on analysis.
Lets users analyze massive datasets using familiar columns, rows, formulas, and pivots without writing code.
Allows users to write Python and SQL code directly inside Sigma Workbooks alongside the spreadsheet-style editor for deeper analysis.
Embeds white-label analytics and AI-powered apps into other products using secure iFrames, themes, and multitenant controls.
Connects directly to cloud data warehouses like Snowflake, Databricks, BigQuery, and Redshift so queries run on live data without extraction.
Governs data distribution and access with row-level security controls across reports and applications.
For small teams getting started with self-service analytics; viewer/consumer seats are free while creators pay per user.
For growing teams that need expanded collaboration and analytics capabilities beyond the Essential tier.
For mid-size to larger teams needing broader governance, embedding, and advanced BI functionality.
For large organizations with complex data needs, requiring custom contracts, premium support, and advanced security/compliance features; pricing requires contacting Sigma's sales team.
AI panel reviews are being generated for this product.
Common questions answered by our AI research team
Sigma connects directly to cloud data warehouses including Snowflake, Databricks, BigQuery, and Redshift.
No. Sigma queries your data warehouse directly and is warehouse-native by design, so data stays in place without extraction or copying.
Yes. Input Tables support write-back, letting you combine live warehouse data with manual entries for planning and forecasting workflows.
Sigma's foundation includes SOC 2 Type II security, HIPAA compliance, GDPR privacy, and SSO & SCIM for identity management.
Yes. Users can interact with data through a spreadsheet interface, natural language chat, SQL, or Python, all compiling into queries that run in the warehouse.
