# Sigma

> Build and run AI apps, dashboards, and agents on governed warehouse data. Sigma lets every team build with chat, a spreadsheet, SQL, or Python.

Sigma is the AI runtime for business. A governed platform where teams build and run AI apps and agents directly on live cloud warehouse data (Snowflake, Databricks, BigQuery, Redshift). Ask in natural language, build agents that act on your data, write back to close the loop, and analyze in a familiar spreadsheet interface, all governed.

## Product
- [Sigma Agents](https://www.sigmacomputing.com/product/agents): Govern data, improve performance, and do it all at scale with Sigma's Agents.
- [AI Toolkit](https://www.sigmacomputing.com/product/ai): Bring AI to analysis and workflows on live warehouse data. Ask questions, build faster, and use LLM functions in spreadsheet cells.
- [AI Applications](https://www.sigmacomputing.com/product/ai-applications): Build powerful AI-driven apps on your cloud data. Take action customized to your team’s needs without writing any code.
- [AI Apps Manifesto](https://www.sigmacomputing.com/product/ai-apps-manifesto): Data analysis in spreadsheets. The way you already know how to. You don’t need coding skills to analyze massive datasets in Sigma. You can do all your work in columns and rows.
- [Architecture](https://www.sigmacomputing.com/product/architecture): Sigma is a spreadsheet UI on top of your cloud data warehouse. Filters, group-bys, pivots, and formulas compile into SQL in your warehouse's dialect, run where the data lives, and return results to the browser.
- [Business Intelligence & Analytics on Warehouse Data](https://www.sigmacomputing.com/product/business-intelligence): Dashboards, spreadsheets, Sigma Reveal, SQL/Python, and Ask Sigma on live warehouse data. Drill into records and standardize metrics with shared models.
- [Data Discovery with Reveal](https://www.sigmacomputing.com/product/data-discovery-reveal): Sigma Reveal is an interactive data discovery tool that lets you pivot, group, and uncover insights instantly. No need for pre-built dashboards, SQL, complex controls, or bias-driven analysis paths.
- [Define once. Trust everywhere. Data Modeling](https://www.sigmacomputing.com/product/data-modeling): Governed metrics and reusable business definitions for scalable analytics and accurate AI context. Built on your cloud data warehouse.
- [Embedded Analytics and Apps](https://www.sigmacomputing.com/product/embedded-analytics): Embed white-label analytics and AI-powered apps in your product. Secure iFrames, themes, and multitenant controls built for scale.
- [Python / SQL](https://www.sigmacomputing.com/product/python-sql): You can now write Python code directly inside of Sigma Workbooks using live data from your warehouse. Combining your Python and SQL skills with the Excel style editor to unlock new layers of analysis not possible with any other tool.
- [Pixel-Perfect Reporting on Live Warehouse Data](https://www.sigmacomputing.com/product/reporting): Build board-ready, paginated reports with layout control, scheduled exports, and bursting. Govern distribution with row-level security.
- [Self-service](https://www.sigmacomputing.com/product/self-service): Get early access to our groundbreaking GPT-powered analytics features, integrated seamlessly within Sigma.
- [No-export spreadsheets on warehouse data](https://www.sigmacomputing.com/product/spreadsheets): A spreadsheet UI connected to live warehouse data. Use formulas, pivots, Input Tables, and audit trails to plan and analyze without exporting files.
- [Bug Bounty Policy & Form](https://www.sigmacomputing.com/product/vdp): If you believe you have discovered a security vulnerability issue, please share the details with Sigma Computing.
- [7 Reasons](https://www.sigmacomputing.com/product/why-sigma): There’s a better way to do business intelligence, and it starts with Sigma. See why teams of all sizes are leaving their legacy platforms behind.
- [Write-back](https://www.sigmacomputing.com/product/write-back): Explore Sigma's ability to allow users to combine real-time data and manual human inputs to perform completely new types of analysis through Input Tables.

## AI Applications
- [Capacity Planning AI Application | Planning on Live Warehouse Data](https://www.sigmacomputing.com/product/ai-applications/capacity-planning): Plan capacity on live warehouse data with governed writeback. Create and lock plans, roll up or split scenarios, track forecast vs actuals, and keep a complete audit trail in Sigma AI Applications.
- [Go-to-Market Operations AI Application | Sigma AI Applications](https://www.sigmacomputing.com/product/ai-applications/go-to-market-operations): Sigma AI Applications power GTM Operations on live warehouse data. Monitor pipeline movement, bookings, new customers, and ASP by region/segment, then ask questions with AI to surface drivers and anomalies—governed, shareable, and always current.
- [Pipeline Forecasting AI Application](https://www.sigmacomputing.com/product/ai-applications/pipeline-forecasting): Forecast pipeline with scenarios, approvals, and an audit trail—directly on live warehouse data. A governed Pipeline Forecasting AI Application in Sigma.
- [Project Management AI Application](https://www.sigmacomputing.com/product/ai-applications/project-management): A Project Management AI Application that keeps tasks, priorities, and statuses aligned. Track project progress, identify bottlenecks, and optimize team efficiency powered by live warehouse data in Sigma.
- [Supply Chain Planning AI Application | Tariff Optimization](https://www.sigmacomputing.com/product/ai-applications/supply-chain-planning): Optimize tariff-adjusted COGS using live bill of materials data. Compare suppliers and countries, run scenarios, and quantify margin impact in a governed Sigma AI Application.

## Use cases
- [For Analysts to Turn Insights into Action at Scale](https://www.sigmacomputing.com/use-cases/analyst): Data analysts turn data into decisions at scale with Sigma's AI, apps, and analytics platform. Spreadsheet simplicity meets enterprise governance and cloud performance.
- [For Analytics Engineers to Build Governed, Impactful Data](https://www.sigmacomputing.com/use-cases/analytics-engineer): Eliminate data silos and ad-hoc requests with Sigma. Empower analytics engineers to turn raw data into consistent, governed assets for analytics and AI.
- [Business Leader Analytics](https://www.sigmacomputing.com/use-cases/business-leader): Get More Out of Your Data 💪Model ALL your data into reusable building blocks using the power of your own cloud data warehouse.
- [Data Engineer Business Intelligence Solutions](https://www.sigmacomputing.com/use-cases/data-engineer): Data Engineers use Sigma. Model your data into reusable building blocks using the power of your own cloud data warehouse. With Sigma you can streamline solving business problems and have more time to focus on higher value initiatives.
- [Role: Developer](https://www.sigmacomputing.com/use-cases/developer): Gain full supply chain visibility, boost profits, forecast demand, and model tariff impacts with Sigma's real-time analytics tools.
- [Sigma for Finance Teams | Real Time financial analytics, reporting and forecasting at scale](https://www.sigmacomputing.com/use-cases/finance): Build live analytics, reports, forecasts, and planning workflows directly on your cloud data. Sigma gives finance teams the governance, automation, and collaboration tools to eliminate manual processes and achieve profitable decision-making.
- [Financial Services Analytics & AI Apps](https://www.sigmacomputing.com/use-cases/financial-services): Governed analytics on live warehouse data for portfolio, risk, lending, and planning. Secure self-service built for financial institutions.
- [Healthcare BI Solutions & Software](https://www.sigmacomputing.com/use-cases/healthcare): Sigma's healthcare analytics software allows for fast and secure access to real-time data to increase patient care and clinical decision making.
- [Manufacturing & Industrials](https://www.sigmacomputing.com/use-cases/manufacturing): Turn factory data into profit. Manufacturing teams use Sigma for real-time production analytics, quality control, and supply chain visibility.
- [Marketing Analytics Software & Tools](https://www.sigmacomputing.com/use-cases/marketing): Sigma's marketing analytics software empowers every marketer to easily access and analyze data across channels and campaigns in real time to drive maximum ROI.
- [Product Manager Business Intelligence Solutions](https://www.sigmacomputing.com/use-cases/product): Business intelligence solutions for product leaders. With Sigma you can streamline solving business problems and have more time to focus on higher value initiatives.
- [Retail and CPG](https://www.sigmacomputing.com/use-cases/retail-and-consumer-goods): With Sigma you can create a complete view of your customers and maximize every marketing dollar spent.
- [Sales & Operations](https://www.sigmacomputing.com/use-cases/sales): Sigma streamlines sales forecasting and territory management with governed data, empowering leaders with real-time analytics and tailored team workflows.
- [Supply Chain Analytics Software](https://www.sigmacomputing.com/use-cases/supply-chain): Gain full supply chain visibility, boost profits, forecast demand, and model tariff impacts with Sigma's real-time analytics tools.

## Comparisons
- [Sigma vs. Excel](https://www.sigmacomputing.com/comparison/sigma-vs-excel): Learn why companies choose Sigma over Excel for scalable, real-time, business intelligence and analytics needs.
- [Sigma vs Hex](https://www.sigmacomputing.com/comparison/sigma-vs-hex): Learn why companies choose Sigma over Hex for enterprise applications and business intelligence.
- [Sigma vs. Looker](https://www.sigmacomputing.com/comparison/sigma-vs-looker): Learn why companies choose Sigma over Looker for their business intelligence and analytics needs.
- [Sigma vs MicroStrategy (now Strategy)](https://www.sigmacomputing.com/comparison/sigma-vs-microstrategy): See why enterprises are replacing Strategy (fka MicroStrategy) with Sigma. Get the self-service, scale, and cloud-native performance MicroStrategy can’t deliver — without compromising on analysis, reporting, or governance.
- [Sigma vs. Omni](https://www.sigmacomputing.com/comparison/sigma-vs-omni): Learn why companies choose Sigma over Omni for their business intelligence and analytics needs.
- [Sigma vs Palantir](https://www.sigmacomputing.com/comparison/sigma-vs-palantir): Learn why companies choose Sigma over Palantir for enterprise applications and business intelligence.
- [Sigma vs. Power BI](https://www.sigmacomputing.com/comparison/sigma-vs-power-bi): Learn why companies choose Sigma over Power BI for their business intelligence and analytics needs.
- [Sigma vs Qlik](https://www.sigmacomputing.com/comparison/sigma-vs-qlik): See why enterprises are replacing Qlik with Sigma. Get the self-service, scale, and cloud-native performance Qlik can’t deliver — without compromising on analysis or reporting.
- [Sigma vs. SAP BusinessObjects](https://www.sigmacomputing.com/comparison/sigma-vs-sap-businessobjects): See why enterprises are replacing SAP BusinessObjects with Sigma. Get the self-service, scale, and cloud-native performance BobJ can’t deliver — without compromising on analysis or reporting.
- [Sigma vs. Tableau](https://www.sigmacomputing.com/comparison/sigma-vs-tableau): Learn why companies choose Sigma over Tableau for their business intelligence and analytics needs.
- [Sigma vs. ThoughtSpot](https://www.sigmacomputing.com/comparison/sigma-vs-thoughtspot): Learn why companies choose Sigma over ThoughtSpot for their business intelligence and analytics needs.

## Customer stories
- [How Bilt Made Sigma Central to its Data Strategy](https://www.sigmacomputing.com/customers/how-bilt-crafted-a-data-stack-with-sigma): "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."
- [Blackstone Leverages Sigma & Snowflake to Perform Data Analytics at Cloud Scale](https://www.sigmacomputing.com/customers/blackstone-leverages-sigma-to-perform-data-analytics-at-cloud-scale): "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."
- [DoorDash Logs a 30% Increase in Queries while Keeping the Snowflake Cost Constant with Sigma](https://www.sigmacomputing.com/customers/doordash-logs-a-30-increase-in-queries-while-keeping-the-snowflake-cost-constant-with-sigma): "The amount of collaboration with Sigma has been really refreshing, and it’s something that we brag about to other vendors."
- [How Duolingo Democratized Data Access While Protecting Sensitive Information](https://www.sigmacomputing.com/customers/how-duolingo-democratized-data-access): "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.'"
- [Moffitt Cancer Center takes One More Step towards its Mission of Improving Cancer Care with Data Democratization through Sigma](https://www.sigmacomputing.com/customers/moffitt-cancer-center-takes-one-more-step-towards-its-mission-of-improving-cancer-care-with-data-democratization-through-sigma): Learn how a leading cancer research center increased its active data self-service users 15X and aims to significantly reduce analytics time with Sigma

## Resources
- [Unlock the Key Differences: Sigma vs. Microsoft Power BI](https://www.sigmacomputing.com/resources/ebooks/sigma-vs-power-bi): Download our free eBook comparing Sigma vs. Microsoft Power BI. Learn how Sigma's cloud-native platform pushes past industry standards to reshape analytics for every click, query, and visualization. Discover which BI platform is right for your business.
- [Data Monetization Made Simple](https://www.sigmacomputing.com/resources/ebooks/data-monetization-made-simple): Learn how to transform untapped data into revenue, efficiency, and innovation with actionable strategies, real-world examples, and expert insights. Download now.
- [High Growth AI Leaders Spill Their Secrets to Success](https://www.sigmacomputing.com/resources/ebooks/high-growth-ai-leaders-spill-their-secrets-to-success): Learn from industry pioneers as they share practical strategies for building successful AI-driven companies, leveraging data analytics, and overcoming implementation challenges. Essential reading for business leaders, tech enthusiasts, and entrepreneurs seeking to harness AI for competitive advantage. Download now for insights from top AI experts and real-world case studies!
- [Leading with Data: The Data Analyst’s Path to Leadership](https://www.sigmacomputing.com/resources/ebooks/data-analysts-path-to-leadership): Learn how data analysts become leaders—protect focus, set clear priorities, and turn data work into business impact. Get the guide.
- [Sigma on Databricks: End-to-End Best Practices Guide](https://www.sigmacomputing.com/resources/ebooks/sigma-on-databricks-end-to-end-best-practices-guide): This guide is designed to help companies deploying Sigma on Databricks for the first time, or looking for guidance when optimizing their data platform.
- [Mastering Embedded Analytics: Your Complete Guide to Seamless Integration and Data-Driven Insights](https://www.sigmacomputing.com/resources/ebooks/mastering-embedded-analytics-your-ultimate-guide): Discover the transformative potential of embedded analytics in your business applications. This comprehensive guide explores the benefits, key components, and best practices for building a robust embedded analytics solution. Learn how to enhance decision-making and operational efficiency with real-time data integration, user-friendly interfaces, and advanced visualization tools. Understand the common challenges and strategies to overcome them, and see how top analytics platforms can seamlessly integrate with your existing systems to drive better business outcomes.
- [The Data Storytelling Playbook: Transforming Insights Into Action](https://www.sigmacomputing.com/resources/ebooks/the-data-storytelling-playbook): Our comprehensive guide on data storytelling for analysts teaches you how to transform data into compelling narratives that drive action. Discover techniques, tools, and real-world examples to elevate your storytelling.
- [The Ultimate Guide To Embedded Analytics](https://www.sigmacomputing.com/resources/ebooks/the-ultimate-guide-to-embedded-analytics): In the age of digital transformation, data's importance has grown exponentially. Enterprises, regardless of their size, face increasing demands from customers seeking access to their data. Historically, businesses have responded by establishing "customer portals" to facilitate secure access to a self-service analytics environment. In today's dynamic market, providing such a service is no longer just an added benefit—it's a necessity.
- [The Ultimate KPI Playbook: What to Measure, Why It Matters, and How to Win](https://www.sigmacomputing.com/resources/ebooks/the-ultimate-kpi-playbook): Master the art of tracking KPIs and metrics with this comprehensive guide. Learn how to drive data-driven decisions across marketing, sales, finance, operations, and customer support, improving efficiency, customer retention, and profitability for measurable business growth.
- [Transform BI with Sigma + Snowflake | 4 Game-Changing Strategies](https://www.sigmacomputing.com/resources/ebooks/four-game-changing-strategies-to-transform-bi-with-sigma-snowflake): Discover how modern teams use Sigma and Snowflake to build real-time, AI-powered, embedded BI. Get the guide with 4 strategies to scale smarter and unlock more value from your data stack.
- [The 2025 State of BI - Sigma x Databricks](https://www.sigmacomputing.com/resources/ebooks/2025-state-of-bi-report-databricks): Discover insights from 500+ data professionals on BI scalability, AI readiness, and the shift from dashboards to workflow-powered analytics. Get benchmarks, strategies, and real-world examples from Sigma + Databricks to future-proof your BI.
- [The Definitive Guide to Exploratory Analysis](https://www.sigmacomputing.com/resources/ebooks/the-definitive-guide-to-exploratory-analysis): Discover how exploratory analysis transforms decision-making. This guide covers its importance, techniques, and roles. Learn how univariate and multivariate analyses reveal patterns and relationships.
- [2025 State of BI Report | Sigma eBook](https://www.sigmacomputing.com/resources/ebooks/2025-state-of-bi-report): BI is at a breaking point. 87% of companies saw data explode, but most BI tools can’t keep up. See what’s failing—and what’s next—in the 2025 State of BI Report.
- [An in-depth look on what makes Sigma so much more capable than Tableau](https://www.sigmacomputing.com/resources/ebooks/sigma-vs-salesforce-tableau): This detailed comparison to Tableau, a legacy BI tool used by many business analysts, will shed light on 6 key areas where Sigma addresses the evolving needs of today’s businesses to solve the gap of business intelligence adoption.
- [How Retailers Use Data in Uncertain Times](https://www.sigmacomputing.com/resources/ebooks/how-retailers-use-data-in-uncertain-times): In an ever-changing retail environment, retail merchandisers are uniquely positioned to use data analytics to improve their store’s bottom line, no matter what disasters may strike.

## Recent blog posts
- [Sigma in the 2026 Gartner® Magic Quadrant™ for Analytics & BI](https://www.sigmacomputing.com/blog/2026-gartner-magic-quadrant-analytics-business-intelligence): Access the report to learn why Sigma is recognized in the 2026 Gartner® Magic Quadrant™ for Analytics and Business Intelligence Platforms.
- [Why Finance Teams Are Moving Their 3 Most Critical Workflows Out Of Spreadsheets](https://www.sigmacomputing.com/blog/finance-workflows-spreadsheets): Budget variance, revenue forecasting, and headcount planning are database problems that don’t belong in spreadsheets. Here’s how finance teams are solving all three in Sigma.
- [What Is Sales Analytics? Types & How It Works](https://www.sigmacomputing.com/blog/sales-analytics): Sales analytics turns CRM and warehouse data into pipeline, forecast, and revenue decisions. Learn the 4 types, key metrics, and how to avoid common pitfalls.
- [7 Agentic AI Use Cases Transforming BI in 2026](https://www.sigmacomputing.com/blog/agentic-ai-use-cases): Explore 7 agentic AI use cases transforming business intelligence in 2026, from metric investigation to automated briefings, all on governed warehouse data.
- [We're Misreading the AI Bill](https://www.sigmacomputing.com/blog/were-misreading-the-ai-bill): The sticker shock is real. The bill is rising because people are finally using AI, not because it got more expensive. The question now is whether it's worth it.
- [Introducing AI Columns | Sigma](https://www.sigmacomputing.com/blog/introducing-ai-columns): AI Columns are in beta for Snowflake and Databricks: run a plain-language prompt on every row to enrich, classify, and summarize data—governed, cached, and no code.
- [Operational Analytics: Definition & How It Works](https://www.sigmacomputing.com/blog/operational-analytics): Operational analytics puts warehouse data into frontline workflows so teams act on live data, not stale exports. Learn how it works and where it drives results.
- [How to Use AI for Data Analysis](https://www.sigmacomputing.com/blog/ai-for-data-analysis): A step-by-step guide on how to use AI for data analysis: from natural-language querying to governed outputs your team can actually trust.
- [What Is AI-Powered Analytics? Benefits & How It Works](https://www.sigmacomputing.com/blog/ai-powered-analytics): AI-powered analytics surfaces patterns, answers questions in plain language, and acts on findings. Learn how it works and why it matters for your team.
- [What Is Agentic Analytics? What it Does & How It Works](https://www.sigmacomputing.com/blog/agentic-analytics): Agentic analytics reasons across steps, applies business logic, and delivers governed answers. Learn how it works and what it takes to run in production.
- [What Is Augmented Analytics? How It Works](https://www.sigmacomputing.com/blog/augmented-analytics): Augmented analytics uses AI and ML to automate data prep, surface patterns, and recommend actions. Learn how it works and why it matters for your team.
- [Introducing Universal Result Cache | Sigma](https://www.sigmacomputing.com/blog/universal-result-cache): Learn how Sigma's Universal Result Cache makes workbooks load faster on every warehouse by reusing query results.
- [Introducing Workbooks as Code | Sigma](https://www.sigmacomputing.com/blog/workbooks-as-code-preview): See how code representation turns every Sigma workbook into a structured spec you can read, write, version, and generate through the REST API.
- [Sigma's Native Integration with Databricks Unity Catalog Semantics](https://www.sigmacomputing.com/blog/sigma-databricks-unity-catalog-semantics): Sigma natively integrates with Databricks Unity Catalog Business Semantics, surfacing governed KPIs, dimensions, and measures directly to analysts—no ETL, no sync pipeline, no version drift.
- [Sigma is a Launch Partner for Databricks Lakehouse // RT](https://www.sigmacomputing.com/blog/sigma-databricks-lakehouse-rt-launch-partner): Sigma is proud to be selected as a Databricks Lakehouse//RT launch partner. Learn how sub-second query performance on the lakehouse changes what's possible for real-time analytics.
- [Meet J.A.K.E.: How Sigma Structures their Comprehensive Cortex Agent](https://www.sigmacomputing.com/blog/meet-jake-sigma-cortex-agent): Learn how Sigma's data team built J.A.K.E., a Snowflake Cortex Agent that combines Semantic Views and Cortex Search Services to power natural language analytics across Sigma Assistant, Sigma Agents, and the Sigma Slack integration.
- [Sigma Tables + Databricks Lakebase: The Foundation for Real-Time Data Apps](https://www.sigmacomputing.com/blog/sigma-tables-databricks-lakebase-real-time-data-apps): Sigma Tables with Databricks Lakebase closes the analytics write gap, turning Sigma into a true read-write application layer on the Databricks Data Intelligence Platform.
- [New on Sigma April-June 2026: Sigma Agents, Sigma Assistant, Code-backed BI & More](https://www.sigmacomputing.com/blog/new-on-sigma-spring-2026): See all the product news Sigma announced since April: Sigma Agents hit public beta, Sigma Assistant unifies AI analysis and building, and code-backed workbooks create the fastest path to migrate from legacy BI.
- [How I Built an AI Expense Management App in Sigma](https://www.sigmacomputing.com/blog/expensigma-ai-app): Sigma Field CTO Greg Bonnette built a complete AI-powered expense management app in a single day — here’s how he did it, what features made it possible, and what the Sigma Agent added in just 10 more minutes.
- [Sigma Named Databricks' 2026 BI Partner of the Year](https://www.sigmacomputing.com/blog/sigma-databricks-partner-of-the-year-2026): Databricks named Sigma its 2026 ISV Business Intelligence Partner of the Year for the second year running—plus four new capabilities Sigma shipped at Data + AI Summit 2026.
- [Migrate Tableau, Power BI & More to Sigma with One AI Agent Prompt](https://www.sigmacomputing.com/blog/migrate-from-legacy-bi-to-sigma): Sigma's open-source migration skills let AI agents like Claude Code automatically convert Tableau, Power BI, Qlik, and ThoughtSpot dashboards into Sigma—with built-in parity verification so every number matches to the cent.
- [Why Sigma Earned Snowflake's "Partner of the Year" Award for 4 Straight Years](https://www.sigmacomputing.com/blog/sigma-snowflake-partner-of-the-year-2026): Learn about the moments, product collaborations, and shared vision that led to Sigma earning Snowflake’s “BI Partner of the Year” 4 times in a row.
- [Sigma Tables: Warehouse-Native Writeback for Real Apps](https://www.sigmacomputing.com/blog/introducing-sigma-tables): Sigma Tables live in your warehouse, not inside a single app. Any app, agent, or external system can read and write to the same governed data warehouse table.
- [How Sigma’s Data Platform Team Manages Snowflake Semantic Views](https://www.sigmacomputing.com/blog/manage-snowflake-semantic-views): Learn how Sigma's internal Data Platform team builds and maintains a semantic layer on Snowflake Semantic Views, and collaborates on it with business stakeholders.
- [Your company is already vibe coding. Do it on a platform you can trust. | Sigma](https://www.sigmacomputing.com/blog/vibe-code-governance): Sigma CEO Mike Palmer on why vibe coding is already happening at your company — and how to govern it responsibly.
- [Introducing Sigma Public: a Platform to Build, Share, and Grow | Sigma](https://www.sigmacomputing.com/blog/introducing-sigma-public): Sigma Public is a free platform where anyone can build, share, and explore AI Apps, agentic analytics, and data visualizations — no license or warehouse required.
- [Why Embedded Analytics Makes Your B2B SaaS Product Harder to Replace | Sigma](https://www.sigmacomputing.com/blog/embedded-analytics-products-defensibility): The products customers can't switch off aren't the ones with the most features — they're the ones customers built something inside. Here's how embedded analytics creates that kind of stickiness.
- [What Embedded Analytics Usage Data Reveals about Churn Risk and Expansion | Sigma](https://www.sigmacomputing.com/blog/embedded-analytics-churn-risk-and-expansion): Every dashboard load, export, and exploration in your embedded analytics layer is a signal. Learn which patterns predict churn — and which predict expansion.
- [Introducing Sigma's Elite and Premier SI Partners | Sigma](https://www.sigmacomputing.com/blog/elite-premier-si-partners): Sigma's SI Partner Program now recognizes Elite and Premier partners — a starting point for customers selecting services partners for deployments, migrations, and AI App builds.
- [What to Know Before You Implement Embedded Analytics: A Practitioner's Guide](https://www.sigmacomputing.com/blog/what-to-know-before-implementing-embedded-analytics): Data modeling, tenant isolation, performance architecture, and licensing determine whether embedded analytics scales or requires expensive rework, and all four decisions happen before implementation starts.

## Documentation
- [Sigma Docs](https://help.sigmacomputing.com): product documentation and how-to guides