Data modeling designed for all users

Empower your developers to build flexible models your business will actually use

Have peace of mind with Sigma, like these companies

Deliver trusted insights securely and at scale

Effectively balance governance and self-service and empower teams to run consistent, accurate ad-hoc analysis

Governed

Centralized management of your data

Modular governance with RBAC and approvals ensures scalable change management and reusable data assets that streamline analysis and minimize redundancy.

Modular governance using Role-Based Access Control (RBAC)

Flexible

Governance when you need it, flexibility when you don’t

Flexible modeling that adapts with your use cases, allowing you to create models only when it’s useful—without forcing proprietary modeling languages on your data team.

Spreadsheet UI

Accessible to anyone

Business users know business logic best—empower non-technical users to self-serve, model, and explore data in their own language with GUI-based tools, minimizing ad hoc requests.

Empower non-technical users to self-serve via spreadsheet UI

Unified

Integrated with the ecosystem

Centrally define metrics and business logic for consistent, accurate insights across your data stack—using your data model or our semantic layer.

Agentic AI

Indexed for AI

Ask Sigma indexes data models, metrics, and relationships to accurately answer questions—ensuring every response is grounded in your defined semantics for trusted results.

Start building collaborative data models

Meet with a Sigma expert today and learn how you can unlock consistent, governed metrics with Sigma’s semantic layer.

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Get more out of your data

Create and manage reusable data assets with low-code, visual semantic modeling that can be leveraged by anyone in your organization

Relationships & join pruning

Pre-define join logic between tables and let Sigma intelligently execute those joins.

Entity-relationship diagrams

Visually display all core entities and their relationships for quick understanding.

Reusable metrics & functions

Define metrics once across datasets to capture complex business logic and ensure consistency.

Column-level security

Control column-level access to ensure sensitive data is only visible to authorized users.

Version tagging

Manage multiple versions of a data model for easier iteration and development lifecycles.

Dbt semantic layer integration

Write dbt-compatible SQL, then execute those queries against dbt, all within Sigma.

Materialization

Set materialization schedules for each data model version to improve performance of downstream elements.

Metrics catalog

Explore all available metrics in your data model through a single interface.

Index for AI

Ensure accurate answers with Ask Sigma, where data models, metrics, and relationships are organized for precision.

“The investment we made in Sigma, both in terms of the tool implementation, but more importantly, the data modeling, it’s been tremendous.”

Dharmesh Patel
VP of Analytics and Business Operations, Druva

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Related resources

Video

Get Started with Data Modeling in Sigma

Learn how to use Sigma for flexible data modeling directly within your browser.

Watch the Demo

Blog

Introducing Semantic Modeling with Sigma

Discover how to deliver accurate, unified insights through Sigma’s semantic layer.

Read the Blog

Guide

Data Modeling: Definition, Types & Examples

Read the quick guide on data modeling and why it matters in modern analytics.

Learn More