How is Sigma different from SAP BusinessObjects?

SAP BusinessObjects is a long-standing, largely on-premise platform built around the universe semantic layer and managed by IT. Sigma is a cloud-native platform that runs on your data warehouse and puts self-service in business users' hands through a spreadsheet interface.

Does Sigma offer modern AI apps and agents beyond reporting?

Yes. Where BusinessObjects centers on enterprise reporting, Sigma adds AI apps with writeback and agentic workflows on the cloud warehouse, governed under one control plane, so a modernization effort lands on a platform built for acting on data rather than only reporting it.

Is Sigma a good BusinessObjects alternative?

For teams modernizing off on-premise BI onto a cloud warehouse, Sigma fits the destination architecture. BusinessObjects remains embedded in many SAP-centric environments, so the move usually pairs with a broader shift toward cloud data.

Does Sigma replace the BusinessObjects universe?

Sigma offers a governed semantic layer through data models, defined and maintained without the universe's specialist tooling. Shared metrics and relationships live there while business users explore on top, which removes much of the IT round-trip BusinessObjects requires.

Is Sigma easier to use than BusinessObjects?

For business users, yes. BusinessObjects reporting tools carry a dated experience and usually involve IT. Sigma's spreadsheet interface lets users build and drill on their own, with SQL and Python available for technical needs.

Does Sigma work with SAP data?

Sigma runs on cloud data warehouses, so SAP data landed in Snowflake, Databricks, or BigQuery is available to Sigma like any other source. Teams typically pair a move to Sigma with a pipeline that brings SAP data into the warehouse.

Can we migrate from BusinessObjects to Sigma?

Yes, usually as part of a cloud migration. SAP data moves into the warehouse, Sigma connects to it, and the priority reports are rebuilt first, with the universe logic translated into Sigma's data models.

How is Sigma different from SAP BusinessObjects?

SAP BusinessObjects is a long-standing, largely on-premise platform built around the universe semantic layer and managed by IT. Sigma is a cloud-native platform that runs on your data warehouse and puts self-service in business users' hands through a spreadsheet interface.

Does Sigma offer modern AI apps and agents beyond reporting?

Yes. Where BusinessObjects centers on enterprise reporting, Sigma adds AI apps with writeback and agentic workflows on the cloud warehouse, governed under one control plane, so a modernization effort lands on a platform built for acting on data rather than only reporting it.

Is Sigma a good BusinessObjects alternative?

For teams modernizing off on-premise BI onto a cloud warehouse, Sigma fits the destination architecture. BusinessObjects remains embedded in many SAP-centric environments, so the move usually pairs with a broader shift toward cloud data.

Does Sigma replace the BusinessObjects universe?

Sigma offers a governed semantic layer through data models, defined and maintained without the universe's specialist tooling. Shared metrics and relationships live there while business users explore on top, which removes much of the IT round-trip BusinessObjects requires.

Is Sigma easier to use than BusinessObjects?

For business users, yes. BusinessObjects reporting tools carry a dated experience and usually involve IT. Sigma's spreadsheet interface lets users build and drill on their own, with SQL and Python available for technical needs.

Does Sigma work with SAP data?

Sigma runs on cloud data warehouses, so SAP data landed in Snowflake, Databricks, or BigQuery is available to Sigma like any other source. Teams typically pair a move to Sigma with a pipeline that brings SAP data into the warehouse.

Can we migrate from BusinessObjects to Sigma?

Yes, usually as part of a cloud migration. SAP data moves into the warehouse, Sigma connects to it, and the priority reports are rebuilt first, with the universe logic translated into Sigma's data models.

Why teams choose Sigma vs SAP BusinessObjects

Sigma is the enterprise leader in self-service analytics and operational workflows.

Book a demo Start a free trial

Print-ready reports on live data
Paginated, pixel-perfect reports built on warehouse data and scheduled out as PDF or Excel.
Self-service the business uses
People explore and build in a spreadsheet interface instead of requesting a new report.
Live warehouse data, with no batch reloads
Reports read current data in the warehouse, without scheduled refreshes or upgrades to manage.

Fulfillment OpsSave as

Fulfillment

DC: All

On-time delivery

87.1%

8.7 ptsvs week 37

Orders shipped

48,210

3.2%vs week 37

Avg. days to ship

2.6

0.4 daysvs week 37

On-time delivery by week

Shipments by DC

DC	Shipped	On time
Reno	9,820	81.4%
Columbus	12,410	94.2%
Dallas	11,035	93.8%
Atlanta	8,760	95.1%
Allentown	6,185	96.0%
Phoenix	5,940	95.7%

Trusted by teams across industries

How Sigma and SAP BusinessObjects compare

As of March 26, 2026.

Operational ReportsSAP BusinessObjectsPaginated reporting via Crystal Reports and Webi. However, Crystal requires legacy desktop applications to design reports, and both tools are tied to the sunsetting on-prem architectureSigmaPixel-perfect paginated reporting designed for cloud-native workflows without desktop requirements. Design, generate, and distribute reports end-to-end at cloud scale.

Dashboard LayoutSAP BusinessObjectsWebi offers basic dashboards, more customization requires SAP Dashboards (Xcelsius/Lumira), though with limited configurability.SigmaFlexible layout and design allow for granular control and easy-to-understand interfaces for end users.

Data ModelsSAP BusinessObjectsRelies on Universe Designer, of which many features are being sunset in BobJ BI 2024 with maintenance ending in 2027, creating uncertainty for customersSigmaGUI-based semantic layer for governed access to data across your organization. Sigma natively integrates with dbt, Snowflake Semantic Views, and Databricks Unity Catalog metric views, allowing externally built metrics to flow directly into Sigma without re-definition.

Spreadsheet InterfaceSAP BusinessObjectsRequires add-on Analysis for Office, which will be deprecated with BobJ BI 4.3 in 2027.SigmaFamiliar spreadsheet UI for accessible analysis and no-code AI App building without added licenses or waiting on IT.

Administration & GovernanceSAP BusinessObjectsRequires complex administration and maintenance overhead.SigmaCloud-native security with row- and role-level controls simplify user management and compliance.

Ad-hoc AnalysisSAP BusinessObjectsRequires Analysis for Office but limited by scale and hardware.SigmaEnables advanced tabular analysis and visualization on live data at cloud scale.

Required SkillsSAP BusinessObjectsTraps development behind a steep learning curve. Creating or altering reports requires highly specialized IT training in legacy tools like Web Intelligence (WebI).SigmaUsers build complex logic using familiar spreadsheet functions, standard SQL, or even Python on a single, governed canvas.

AI ApplicationsSAP BusinessObjectsBuilt for the era of static, paginated PDFs. Cannot support interactive data applications, live scenario modeling, or governed writeback without disconnected third-party tools.SigmaMove beyond read-only dashboards. Empower all teams to build interactive, no-code AI Apps, safely writing decisions and actions to your cloud data warehouse.

Straight from the source

Sigma on G2 Sigma on Gartner Peer Insights

“We’re migrating from Power BI and legacy reporting tools such as Jasper and Crystal Reports, and Sigma has made it significantly easier to create, share, manage, and maintain dashboards and workbooks. Just as importantly, the end-user experience is fast and responsive.”
Simon IdrisVP Engineering · Mid-Market (51-1000 emp.) · G2 (opens in a new tab)
“Sigma is solving our ability to transition from legacy BI tools that rely on On-Prem SQL data to our cloud-based data platform and makes it easy to pull in that data. The simplicity of it allows us to build solutions very quickly”
Jack YoungData Application Developer · Enterprise (> 1000 emp.) · G2 (opens in a new tab)
“The combination of a spreadsheet-style user experience and direct access to our governed data in Databricks is one of Sigma's biggest strengths. Business users can filter, group, drill into detail, and explore data without needing SQL knowledge or waiting for every question to become a development request.”
VP, Data and AnalyticsMiscellaneous · Gartner Peer Insights (opens in a new tab)
“What I like about Sigma is that interactive dashboards make it easy to filter, drill down and explore data. … Recently added Sigma assistant feature lets end users query the data in the reports and dashboards in plain language, and that makes it super easy and convenient for non-technical users.”
EngineerSoftware · Gartner Peer Insights (opens in a new tab)
“Since migrating to Sigma, we can analyze large datasets without limits, which has greatly improved decision-making across teams. … As an online BI platform, Sigma provides continuous upgrades without server installations, reducing support needs for our IT department”
Director of OperationsBanking · Gartner Peer Insights (opens in a new tab)
“The writeback capabilities let us take transformed data and make it available in more ways for our firm. This has allowed us to deliver reports to key third parties and incorporate Sigma output into other key processes.”
Data AnalystFinance (non-banking) · Gartner Peer Insights (opens in a new tab)
“One of the standout features for me is Sigma's drill-through functionality. It enables users to effortlessly explore data from high-level dashboards down to granular transaction-level details. This is especially useful when working with large datasets, where traditional tools are often slow or unusable.”
Data AnalystHealthcare and Biotech · Gartner Peer Insights (opens in a new tab)

AI, Apps, and Agents with all the BI that you expect

Print-ready reports

Pixel-perfect reports on live data

Rebuild paginated, print-ready reports on live warehouse data with Pixel Perfect Reporting, then schedule them out as PDF or Excel.

Q3 Board Report.pdf2/ 12−100%+

NORTHWINDBoard of directors · Confidential

Section 1 · Performance

Q3 at a glance

$11.33MRevenue▲ 3.0% vs plan71.2%Gross margin▲ 0.4 pts YoY118%Net retention▲ 4 pts YoY

Revenue vs plan, $M

Plan Actual

9.69.810.711.3

Q4 FY26Q1Q2Q3

By region, $M

Region	Plan	Actual	Var
North America	5.00	5.21	+4.2%
EMEA	3.40	3.64	+7.1%
APAC	2.60	2.48	−4.6%
Total	11.00	11.33	+3.0%

Gross margin, YTD

Jan · 69.8%Sep · 71.2%

Revenue closed $11.33M, 3.0% ahead of plan, led by EMEA renewals. APAC finished 4.6% short after two enterprise deals moved into Q4.

2 of 12

234

NORTHWINDBoard of directors · Confidential

Section 1 · Performance

Q3 at a glance

$11.33MRevenue▲ 3.0% vs plan71.2%Gross margin▲ 0.4 pts YoY118%Net retention▲ 4 pts YoY

Revenue vs plan, $M

Plan Actual

9.69.810.711.3

Q4 FY26Q1Q2Q3

By region, $M

Region	Plan	Actual	Var
North America	5.00	5.21	+4.2%
EMEA	3.40	3.64	+7.1%
APAC	2.60	2.48	−4.6%
Total	11.00	11.33	+3.0%

Gross margin, YTD

Jan · 69.8%Sep · 71.2%

Revenue closed $11.33M, 3.0% ahead of plan, led by EMEA renewals. APAC finished 4.6% short after two enterprise deals moved into Q4.

2 of 12

Familiar formulas

We excel in the cloud

Analyze billions of rows of live warehouse data using spreadsheet formulas you already know. No stale extracts, row limits, or proprietary coding languages. Ask Sigma Assistant if you have a question.

Sales detail

Sales by region and product

Rolled up from 48,213,906 order lines

Region	Product	Sum of Revenue	Sum of Cost	Margin %
East	Laptops	$184,612,409	$141,238,774	23.5%
	Monitors	$72,418,236	$51,907,412	28.3%
	Docks	$31,806,551	$19,622,908	38.3%
	East total	$288,837,196	$212,769,094	26.3%
Central	Laptops	$121,344,870	$94,817,263	21.9%
	Monitors	$48,706,129	$35,588,417	26.9%
	Docks	$22,391,046	$14,066,372	37.2%
	Central total	$192,442,045	$144,472,052	24.9%
West	Laptops	$209,517,338	$158,326,045	24.4%
	Monitors	$88,143,702	$62,019,554	29.6%
	Docks	$39,228,815	$23,471,906	40.2%
	West total	$336,889,855	$243,817,505	27.6%
Total		$818,169,096	$601,058,651	26.5%

Live data

Live on your warehouse, with no extracts

Every query runs in your warehouse, so analysis reads current data at full detail. There are no extracts to schedule or reload, and drilling from a total to the rows behind it takes a click.

Digital Commerce

Digital commerce

WEB_EVENTS · 3,812,447,209 rows, live on the warehouse

Date range

Jan 1, 2023 – Oct 9, 2026

Channel

AllWebApp

Metro

All

Events

Every page view, cart, and order since 2023

Sessions

212.6M

18%vs last year

17.9 events per session

Device mix

iOS46%
Web33%
Android21%

Return rate

Target 7.0%

8.4%

Sessions by metro

Click a metro to filter

Conversion funnel

All metros

Page views2.96B17%↓

Product views504.9M46%↓

Add to cart231.9M31%↓

Checkout71.4M58%↓

Purchase41.2M

Events by day and hour

All metros, all years

Governed AI

AI that works on the data you trust

Sigma Assistant answers questions and builds workbooks, and Sigma Agents take action on live warehouse data, with each person’s permissions applied to every step.

Configure agent

Hi there!

I'm here to help you configure your Renewal Risk agent. What would you like to adjust?

Add more data sources

How can I help you build your agent?

AI can make mistakes. Please double-check responses.

Renewal Risk

Flags renewal risk, explains the drivers, and alerts the account's CSM.

Data sourcesAccount Health

Tools

InstructionsNormal text ƒxGreeting

You are a Renewal Risk Agent for customer success managers.

Your Focus

Find accounts renewing in the next 120 days, rate their churn risk, and explain the drivers behind it.

Data

Use Account Health via database_execute_query for every risk question.

How to Respond

Lead with the accounts most at risk
Back every rating with usage and ticket data

Inherited controls

The security your warehouse already enforces

Sigma applies your warehouse roles and row- and column-level policies at query time. Version tags and workbook history show what changed, and who changed it, before it reaches everyone.

Store SalesStaging

Store sales

Q3 2026

Net sales

$12.4M

7.2%vs Q2 2026

Orders

184,000

4.8%vs Q2 2026

Avg. order value

$67.40

$1.60vs Q2 2026

Net sales by month

AprMayJunJulAugSep

Returns peak online

Return rate by channel, Q3 2026

Online
Marketplace
In store
Pickup

Avg. 5.1%

More reasons teams choose Sigma

Write back to the warehouse
Input Tables let people add forecasts, corrections and notes beside live data. Each entry lands in a warehouse table, with a history of who changed what and when.
Dashboards anyone can explore
Viewers filter, drill and pivot on the dashboard itself, down to row-level detail, so a new question doesn’t become a new request.
Analytics and apps inside your product
Embed live dashboards and apps in your own product, with each customer’s data kept apart by the same warehouse security.

What teams build on Sigma

Live data, apps that write back, and agents, on the warehouse they already run

View all

30K+ users onboarded. 30% more queries.DoorDash Logs a 30% Increase in Queries while Keeping the Snowflake Cost Constant with Sigma

700+ active users. Days to Hours in time savings.Blackstone Leverages Sigma & Snowflake to Perform Data Analytics at Cloud Scale

91% active user adoption. 300+ concurrent ab tests.How Duolingo Democratized Data Access While Protecting Sensitive Information

Related resources

All comparison posts

SAP BusinessObjects Alternatives You Need To Consider In 2025
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Read the post: SAP BusinessObjects Alternatives You Need To Consider In 2025
Retire On-Prem BI and Modernize Your Enterprise Reporting
Discover how data teams can retire on-prem era BI systems like MicroStrategy (dba Strategy) and SAP BusinessObjects. Learn how Sigma modernizes enterprise reporting with live cloud data, governed self-service, and faster migrations—so you can scale analytics without the bottlenecks.
Watch the webinar: Retire On-Prem BI and Modernize Your Enterprise Reporting
It’s Time: When To Admit You Need To Migrate From Legacy Business Intelligence Tools
Learn the hidden costs of continuing with legacy business intelligence tools and how they affect your data analysis, measurement, and outcomes.
Read the post: It’s Time: When To Admit You Need To Migrate From Legacy Business Intelligence Tools

Sigma and SAP BusinessObjects FAQ

What teams ask when they compare Sigma with SAP BusinessObjects.

How is Sigma different from SAP BusinessObjects?
SAP BusinessObjects is a long-standing, largely on-premise platform built around the universe semantic layer and managed by IT. Sigma is a cloud-native platform that runs on your data warehouse and puts self-service in business users' hands through a spreadsheet interface.
Does Sigma offer modern AI apps and agents beyond reporting?
Yes. Where BusinessObjects centers on enterprise reporting, Sigma adds AI apps with writeback and agentic workflows on the cloud warehouse, governed under one control plane, so a modernization effort lands on a platform built for acting on data rather than only reporting it.
Is Sigma a good BusinessObjects alternative?
For teams modernizing off on-premise BI onto a cloud warehouse, Sigma fits the destination architecture. BusinessObjects remains embedded in many SAP-centric environments, so the move usually pairs with a broader shift toward cloud data.
Does Sigma replace the BusinessObjects universe?
Sigma offers a governed semantic layer through data models, defined and maintained without the universe's specialist tooling. Shared metrics and relationships live there while business users explore on top, which removes much of the IT round-trip BusinessObjects requires.
Is Sigma easier to use than BusinessObjects?
For business users, yes. BusinessObjects reporting tools carry a dated experience and usually involve IT. Sigma's spreadsheet interface lets users build and drill on their own, with SQL and Python available for technical needs.
Does Sigma work with SAP data?
Sigma runs on cloud data warehouses, so SAP data landed in Snowflake, Databricks, or BigQuery is available to Sigma like any other source. Teams typically pair a move to Sigma with a pipeline that brings SAP data into the warehouse.
Can we migrate from BusinessObjects to Sigma?
Yes, usually as part of a cloud migration. SAP data moves into the warehouse, Sigma connects to it, and the priority reports are rebuilt first, with the universe logic translated into Sigma's data models.

Why teams choose Sigma vs SAP BusinessObjects

Print-ready reports on live data

Self-service the business uses

Live warehouse data, with no batch reloads

Pixel-perfect reports on live data

We excel in the cloud

Live on your warehouse, with no extracts

AI that works on the data you trust

The security your warehouse already enforces

Write back to the warehouse

Dashboards anyone can explore

Analytics and apps inside your product

SAP BusinessObjects Alternatives You Need To Consider In 2025

Retire On-Prem BI and Modernize Your Enterprise Reporting

It’s Time: When To Admit You Need To Migrate From Legacy Business Intelligence Tools

Get started