Business intelligence & analytics

Live access to every row, plus reusable models so work doesn’t splinter across dashboards.

Live access to every single row

Analyze billions of rows down to the individual transaction. Queries run directly on the warehouse, giving you the granular "why" behind every metric without needing any extracts.

Spreadsheet ease with scalable results

Harness the full power of your cloud data warehouse through the familiar spreadsheet UI. Perform lookups and pivots on billions of rows of live data without any row limitations.

Move seamlessly from insight to action

Break down technical barriers by using formulas, code, or natural language in one unified workspace. Move from data exploration to execution instantly by choosing the tool that works best for you.

Trusted by 2,000+ leading enterprises around the world

Built for how you actually work

A unified workspace for all users.

SPREADSHEET UI

Spreadsheet logic meets SQL power

Analyze warehouse data using the interface you already know. Type formulas, add columns, and pivot data—and Sigma will translate every action into optimized SQL for you.

Excel-Native Logic: Use standard Excel-like formulas on live data

Billion-Row Pivots: Aggregate billions of rows instantly with drag-and-drop ease.

Cell-Level Control: Format and calculate data at the lowest level of granularity.

See our 200+ spreadsheet functions

VISUAL ANALYTICS

A connected canvas for your data

Click on any chart element to drill down into the underlying records or pivot to a new dimension. No pre-defined paths required.

Unrestricted Drilling: Explore data hierarchies dynamically without setup

Linked Visuals: Automatically update the entire dashboard by filtering one chart.

Rich Library: Choose from dozens of chart types, from Sankey diagrams to geospatial maps

How to create a data element

SIGMA REVEAL

Flexible exploration without pre-built queries

Start reacting to your data in real time. Pivot, group, and drill into live data to uncover unexpected patterns without pre-modeling a single query.

Direct Manipulation: Click, drag, and pivot data directly to see new insights emerge instantly.

Context Retention: Keep your analysis path visible with breadcrumbs that track every grouping and filter.

Zero-Model Exploration: Ship interactive experiences faster without needing to pre-define every possible path for user analysis.

Try Sigma Reveal without signing up

SQL & PYTHON

Code and click in harmony

Bridge the gap between technical and business teams. Use SQL and Python for complex modeling, then let anyone explore the results in a singular app or workbook.

Integrated Code Elements: Write custom SQL or Python directly in your workbook.

Cross-Element Variables: Reference values across SQL, Python, and UI elements for cohesive, complex analyses.

Interactive Handoff: Turn code-driven models into flexible tables that non-technical users can pivot and filter.

How to use Python in Sigma

ASK SIGMA

Chat with your data

Move beyond rigid lookups with a conversational interface that feels human. Ask Sigma enables teams to go from a simple question to full-scale analysis in seconds.

Seamless Actionability: Extend your answers into analysis. Instantly transition from a chat response to drilling, filtering, or building within an app or workbook.

Conversational Follow-ups: Refine your analysis through natural language. Ask follow-up questions to explore new dimensions without starting over.

Agent Integrations: Bring your intelligence. Integrate your pre-built warehouse agents to maximize the value of your technology investments.

Sigma's AI Assistants

Trusted by Data-Driven Teams

See how leading companies democratize data exploration with Sigma

91%

Active user adoption across business units

300+

Concurrent AB tests driving product innovation

"We've been able to see people create new dashboards in relatively quick time periods. Now we're seeing people say, 'Oh, I just have this idea. Let me go see how it looks in the data.'"

Jonathan Burket

Engineering Director, Duolingo

READ THE STORY

5,000

Rebuilt over 5,000 dashboards

30,000

Onboarded over 30,000 users to the Sigma platform

"The amount of collaboration with Sigma has been really refreshing, and it’s something that we brag about to other vendors."

READ THE STORY

700+

active users on Sigma

Billion Row Datasets

analyzed, globally

"I think the biggest value driver for Sigma is that you're not using specialized Python developers to analyze billion row records anymore. You're just adding an Excel user."

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A man wearing a blue shirt and a beard is standing in front of a window.

Druva left Looker behind for faster performance with Sigma.

Dharmesh Patel

VP of Analytics and Business Operations, Druva

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Learn how Clay moved from fragmented data processes to a unified, accessible analytics system with Sigma, enabling faster, smarter business decisions across the organization.

Josh Hanson

Data Scientist, Clay

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Yamaha Motor Finance replaced spreadsheets and manual reporting with Sigma’s governed, cloud-native platform. See how they transformed FP&A, enabled self-service, and scaled financial modeling with Snowflake and Sigma.

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Everything you need to analyze, report, and act

One platform for dashboards, reports, embedded analytics, and AI-powered insights.

Automate workflows with AI-powered logic.

Analyze billions of records using the skills you know best.

Batch deliver highly formatted, audit-ready reports to thousands of recipients.

PDF export

Bursting

Paginated reports

Give your customers the insights they need. Integrate white-label analytics seamlessly into your products.

Customer self-service

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Architecture FAQ

The questions that usually come up once someone starts mapping Sigma into their warehouse and governance model.

Data Modeling in Sigma

Data models can help businesses make more informed decisions by providing a structured way to analyze and interpret data. By using a data model, a business can better understand relationships between different pieces of data, identify trends, and forecast future outcomes.

Best practices when working with large data sets

Ensuring optimal performance when using Sigma on top of large datasets comes with some best practices. First, what constitutes a large dataset is dependent on aspects such as warehouse size, the use case, and the intended workbook load time or performance. Often datasets that require performance to be improved are 100+ million rows, or have more than 30 columns. Let’s look at the easiest ways to achieve the greatest lift when it comes to performance improvement and optimization.

How to Use Metrics and Governance in Sigma

Metrics in Sigma provide a way to ensure consistent metric logic across tables, visualizations, and pivot tables. These metrics are calculations that are used to support a variety of use cases, including financial performance, customer behavior, operational efficiency, and more. They include: revenue, customer retention, net promoter score (NPS), conversion rate, cost per acquisition, and return on investment.

Business intelligence & analytics