TRUSTED BY TEAMS THAT NEED SELF-SERVICE AND GOVERNANCE.
Self-service without the ticket queue or the security incident
Sigma gives every team a governed way to explore, build, and act on live warehouse data without turning your data org into a report factory.
Work at the grain of the data
Explore trillion-row tables with row-level detail, build pivot tables as deep as needed, and drill anywhere in a spreadsheet interface your org already understands.
Define metrics once. Enforce them everywhere.
Keep defined metrics, relationships, and permissions once without exporting to uncontrolled spreadsheets.
Agentic analytics for self-service
Point-and-click agents in workbooks give governed chat grounded in your semantic layer to get answers, write data, and trigger actions.
One platform for every skill level
Self-service works best when everyone can operate in their native language. Spreadsheets for most, SQL/Python for power users, and Agentic AI to level up everyone.
Transformation
Move your data team up the stack
Data Team publish certified metrics and relationships once, then business users inherit those definitions and explore safely. This shifts Data Teams from fulfilling ad hoc tickets to building scalable, strategic infrastructure.
Transformation
Level up your business teams' data literacy
Familiar spreadsheet skills become analytical superpowers. Teams pivot, filter, and drill live warehouse data. No SQL required, no exports, and no waiting on tickets.
Transformation
Keep engineers in flow with SQL and Python
Stop juggling notebooks and BI. Write SQL or Python alongside spreadsheets where technical and non-technical users share one semantic layer via interactive workbooks.
Transformation
Agentic self-service with Sigma Agents
Sigma Agents go beyond ask and answer. Teams can parse live data, write to input tables, approve forecasts, update records, trigger workflows via API actions, and ask questions—all in natural language, all code-free, all grounded in governed data.
How to roll out self-service without breaking governance
A proven path for VPs of Data and CDAOs: keep the warehouse as the control plane, add a reusable semantic layer, and scale exploration—with cost and auditability intact.
01
No extracts. No secondary security model.
Inherit security and governance from your data platform so policies travel with the data.
02
Define reusable semantics
Build data models, relationships, and metrics once. Publish approved definitions so "revenue" stays consistent across every team and workbook.
03
Enable governed exploration
Give teams the ability to explore data with guardrails. And without needing a developer every time a question changes.
04
Add the agentic layer
Sigma's AI Assistants remove the next bottlenecks: discovery, formula friction, and build time while keeping work transparent and editable.
What self-service looks like in practice
High-scale teams use Sigma to expand access, reduce ad-hoc demand, and keep sensitive data governed—without slowing the business down.
"Post-Sigma, real-time dashboards and automated data pipelines improved decision-making speed by 40%. This shift led to a 15% increase in revenue from optimized campaigns."
"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.'"
"Sigma data apps are eliminating the boundary between data entry and data consumption... We are moving a lot faster than we were before."
"Sigma’s approach to AI is the right one. It’s not about replacing analysis. It’s about speeding up the time to insight—and keeping people in the loop."
"Since Sigma, we’re able to have a lot more trust in our metrics. Now we know when people go into Sigma, the data is up to date. People know what they're doing, they understand the data."
"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."
"The amount of collaboration with Sigma has been really refreshing, and it’s something that we brag about to other vendors."
The controls technical leaders care about
Execute AI across analysis and build workflows—without creating parallel systems or setup overhead.
Data models, metrics, and permissions—built for reuse
Create a governed semantic layer with relationships, reusable metrics, versioning, and approvals, allowing teams to move fast without redefining logic in 50 dashboards.
See Data Modeling
Query consolidation and caching reduce cost-per-user at scale
Sigma is built to reduce redundant queries and improve responsiveness with caching and evaluation strategies. This means cost-per-user can drop as adoption grows.
Read how Sigma's Query Engine works
Row/column security + audit logs
Security and compliance teams can trust Sigma's self-service at scale because we can enforce row-level and column-level access, then monitor activity with audit logs and usage analytics.
see data modeling
Enterprise-Grade Analytics for Sales & Ops Scale
Sigma is built for business teams that need flexibility without sacrificing governance or performance.
Zero-copy query model
Sigma doesn't require you to duplicate warehouse tables into a separate store to get interactivity. Results can be reused via cache paths instead of persisting a separate copy.
Private connectivity (AWS/Azure/GCP)
Support for PrivateLink / Private Service Connect patterns when your security team wants to keep traffic off the public internet.
Auth or service account
Run per-user (OAuth) or via a service account. Choose what fits your governance model and auditing requirements.
Role-aware access control
Dynamically map users/teams to warehouse roles so row/column policies are enforced at query time.
Audit logs for admin events
Track key admin activities (logins, permission changes, connection changes, and more) for operational visibility.
Compliance artifacts in the Trust Center
SOC 2 Type II, ISO/IEC 27001, GDPR/CCPA posture, and other reports live in one place for review.
LLM Superpowers in
a Spreadsheet Cell
Select the right model for the job. Write a prompt.
Get results in a column. No code, no engineering queue.
Get results in a column. No code, no engineering queue.
Sigma Library
Browse AI apps, templates, and interactive workbooks you can copy, customize, and roll out.
learn more
For ArchitectsSigma's Query Engine
How Sigma reduces redundant warehouse load while staying fast at scale.
learn more
Enable governed exploration
Build governed metrics and relationships that business teams can safely reuse.
learn more
Embed Ask Sigma
Put natural-language self-service inside your product or portal.
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