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Sigma Computing Review

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Sigma is a business intelligence and AI application platform for building analytics, apps, and agents on cloud data warehouses.

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About Sigma Computing

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.

Features

AI

  • AI Applications

    Lets teams build AI-driven apps on cloud data for use cases like budget variance, demand planning, and territory management, without writing code.

  • Ask Sigma (Natural Language AI)

    Enables users to ask questions in natural language and use LLM functions inside spreadsheet cells to analyze warehouse data.

  • Sigma Agents

    Provides governed agents that can act on data at scale to automate analysis and workflows.

Analytics

  • Data Modeling

    Provides governed metrics and reusable business definitions so teams get consistent, trusted data across analytics and AI.

  • Pixel-Perfect Reporting

    Builds board-ready, paginated reports with layout control, scheduled exports, and bursting for distribution.

  • Sigma Reveal

    An interactive data discovery tool that lets users pivot and group data to uncover insights instantly without pre-built dashboards or SQL.

Core

  • Input Tables / Write-back

    Allows users to combine live warehouse data with manual entries for planning, forecasting, and closing the loop on analysis.

  • Spreadsheet Interface

    Lets users analyze massive datasets using familiar columns, rows, formulas, and pivots without writing code.

Customization

  • SQL and Python in Workbooks

    Allows users to write Python and SQL code directly inside Sigma Workbooks alongside the spreadsheet-style editor for deeper analysis.

Integration

  • Embedded Analytics and Apps

    Embeds white-label analytics and AI-powered apps into other products using secure iFrames, themes, and multitenant controls.

  • Live Warehouse Connectivity

    Connects directly to cloud data warehouses like Snowflake, Databricks, BigQuery, and Redshift so queries run on live data without extraction.

Security

  • Row-Level Security & Governance

    Governs data distribution and access with row-level security controls across reports and applications.

Preview

Sigma Computing desktop previewSigma Computing mobile preview

Pricing Plans

Essential

$25/monthly

For small teams getting started with self-service analytics; viewer/consumer seats are free while creators pay per user.

  • Per-user pricing at entry-level tier
  • Free viewer seats
  • Core self-service exploration and visualization
  • Connects to cloud data warehouses (Snowflake, BigQuery, etc.)
Popular

Pro

$50/monthly

For growing teams that need expanded collaboration and analytics capabilities beyond the Essential tier.

  • Expanded collaboration features
  • Advanced data exploration tools
  • Higher usage limits than Essential

Business

$75/monthly

For mid-size to larger teams needing broader governance, embedding, and advanced BI functionality.

  • Advanced governance and security controls
  • Embedded analytics capabilities
  • Greater scalability for larger user bases

Enterprise

Contact sales

For large organizations with complex data needs, requiring custom contracts, premium support, and advanced security/compliance features; pricing requires contacting Sigma's sales team.

  • Custom pricing based on users, usage, and contract length
  • Enterprise-grade security and compliance
  • Custom branding and embedded analytics
  • Dedicated support and professional services options

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Buyer Questions

Common questions answered by our AI research team

Integration

Which cloud data warehouses does Sigma connect to?

Sigma connects directly to cloud data warehouses including Snowflake, Databricks, BigQuery, and Redshift.

Features

Does Sigma copy or extract my data?

No. Sigma queries your data warehouse directly and is warehouse-native by design, so data stays in place without extraction or copying.

Features

Can I write data back into the warehouse?

Yes. Input Tables support write-back, letting you combine live warehouse data with manual entries for planning and forecasting workflows.

Security

What compliance certifications does Sigma have?

Sigma's foundation includes SOC 2 Type II security, HIPAA compliance, GDPR privacy, and SSO & SCIM for identity management.

Features

Can I interact with data using SQL or Python?

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.

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