Sigma is AI-app runtime
Governed AI apps, agents and workflows on warehouse data are the headline story.
Sigma is built to query cloud warehouses directly and turn data into dashboards, reports, apps and agents. Nectari is stronger when the requirement is ERP reporting, financial statements, controlled delivery and a reporting layer around finance and operations.
Governed AI apps, agents and workflows on warehouse data are the headline story.
Financial statements, operational analytics and distribution are central.
Sigma pushes logic to the warehouse; Nectari organizes reporting around the ERP.
Choose Sigma when the organization wants governed AI apps, dashboards and embedded analytics directly on cloud warehouse data. Choose Nectari when the requirement is broader ERP reporting, financial statements, report books and operational delivery around the source system.
Default to Nectari when the goal is finance-ready ERP reporting and repeatable delivery across business audiences. Choose Sigma only when warehouse-native analytics apps and agent experiences are the primary program.
Both are modern, but they solve different problems.
| Business requirement | Nectari | Sigma |
|---|---|---|
| Interactive dashboards | ✓ YesInteractive dashboards, workbooks, filtering, drill-down, alerts and browser-based consumption. | ✓ YesDashboards and analysis are core product surfaces. |
| Warehouse-native architecture | ! ERP-centeredNectari is built around ERP reporting and operational data delivery. | ✓ Core strengthSigma queries the cloud data warehouse directly. |
| AI apps and agents | ! Reporting contextNectari can support AI-assisted reporting workflows, but not the same app runtime model. | ✓ Core strengthAI apps and agents are a major platform focus. |
| ERP-ready business models | ✓ IncludedGoverned models organized around ERP terminology, dimensions, measures and business processes. | ! Customer modeledSigma models typically reflect the warehouse and semantic layer design the customer builds. |
| Financial statements | ✓ Purpose-builtIncome statement, balance sheet, cash flow, trial balance, account structures and comparative reporting. | ! Possible with modelingStatements can be built, but they are not the core product pattern. |
| Embedded analytics | ! Possible through platform useNectari can be consumed broadly, but is not centered on low-code embedded analytics. | ✓ Core strengthWhite-label embedded analytics is a product pillar. |
| Spreadsheet familiarity | ✓ Native add-inCreate refreshable financial and operational reports directly in desktop Excel. | ✓ Familiar UIUsers can build with chat, a spreadsheet UI, SQL or Python. |
| Governance and lineage | ✓ Reusable and governedBusiness-oriented restrictions can be centrally managed across reporting content. | ✓ Warehouse-controlledPermissions, lineage, audit and change management live in one control plane. |
| Pixel-perfect reporting | ✓ StrongAudit-ready reporting and scheduled output are part of Nectari's value. | ✓ Dedicated reporting moduleSigma offers pixel-perfect reports alongside dashboards. |
| Operational reporting breadth | ✓ Broad coverageFinance, operations and executive reporting from one governed layer. | ✓ StrongSigma supports analytics, apps and agents across business processes. |
| Security and governance | ✓ Reusable and governedBusiness-oriented restrictions can be centrally managed across reporting content. | ✓ Inherited controlsSecurity and governance are inherited from the warehouse and control plane. |
| ERP transactions | ✓ Wizard-driven frameworkCreate or update supported ERP transactions through connector-specific web services using reusable workbook templates. | ✓ Not the focusSigma is an analytics and app runtime, not an ERP transaction framework. |
| Best fit | ✓ ERP intelligence platformBest when finance and operational reporting must be delivered quickly and governed centrally. | ✓ AI app platformBest when data teams want to build governed apps and agents on warehouse data. |
Sigma capabilities vary by warehouse architecture, semantic model and embedding scope. Validate current requirements for each deployment.
That matters when the organization wants formal ERP reporting and not only warehouse-native app experiences.
App-first analytics are powerful, but many finance teams still need formal reporting around ERP data, statements and scheduled output.
Yes. Sigma competes in modern BI, AI apps and warehouse-native analytics.
Yes. Sigma can be the better fit when governed AI apps and agents are central.
Yes. Nectari is broader on financial statements, controlled distribution and ERP-centered reporting.
Sigma can be a fit when the organization already lives in cloud warehouses and wants to build analytics products there. If ERP reporting speed, finance-ready outputs and governed distribution are priorities, Nectari is usually the safer choice.
See how Nectari handles financial statements, operational analytics, real-time or near-real-time data, AI Copilot, DataSync, OLAP, Excel, security and distribution from one governed platform.