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Index › GTM › Products › Legacy SAP BusinessObjects · November 2026 Edition

Dashboards and data visualization · Named, not ranked

Legacy SAP BusinessObjects

–Too few to rank

1/14Models named it

0First choices

1Warnings

November 2026 Edition · all company sizes counted.

Ranked inDashboards and data visualization #61 mid-market

What AI models recommend

Named, too few times to rank.

A product needs 10 labels in a category before a share is stated. Legacy SAP BusinessObjects has 1.

Why models recommend it

No positive label carried a quote.

What gives them pause

“many versions are out of support or in limited maintenance mode”Kimi K2 · Negative question · warning

Also on the shortlist

The products named in the same answers as Legacy SAP BusinessObjects, over the 1 answer that named it, and how often each was the first choice instead.

Product	Named together
Apache Superset	1	View →
Grafana	1	View →
IBM Cognos	1	View →
Looker	1	View →
Metabase	1	View →
MicroStrategy	1	View →
Microsoft Power BI	1	View →
Older IBM Cognos versions	1	View →
Oracle BI	1	View →
Preset	1	View →

A side-by-side page exists where both products are among a category's top eight.

How this is measured

Fourteen AI models from 12 labs are asked the same buying questions six ways, for three company sizes. Standings refresh every edition.

Gane sells AI visibility software. No company can pay to change a result.

Read the method →

Sources returned with these answers

The sites and pages the answers that named Legacy SAP BusinessObjects came back with. A fact about retrieval, not a cause of the answer.

Fourteen of the fourteen models returned a source list in this edition: five return the pages they cited and nine the search results they consulted. These counts come from 1 of the 1 answers that named Legacy SAP BusinessObjects and are not a share of its labels.

Domains cited

datapallas.com1

growdataplatform.ai1

moldstud.com1

reddit.com1

rollstack.com1

sap.com1

trustradius.com1

No domain is on file for Legacy SAP BusinessObjects, so its own site is not marked.

Pages cited

datapallas.com/docs/modernize-legacy-bi1

growdataplatform.ai/blog/navigating-challenges-in-working-bi-solutions-for-common-pitfalls1

moldstud.com/articles/p-top-10-bi-tools-for-data-driven-decision-making-a-comprehensive-gu1

moldstud.com/articles/p-unveiling-the-newest-bi-tools-a-comprehensive-review-for-developer1

reddit.com/r/BusinessIntelligence/comments/1122vjq/tableau_has_been_killed_by_salesforce_p1

reddit.com/r/BusinessIntelligence/comments/g1oji2/what_is_the_worst_software_you_frequentl1

reddit.com/r/dataengineering/comments/14ltv6p/which_are_the_most_inefficient_ineffective1

rollstack.com/blog/bi-tools-top-10-gripes-and-how-to-fix-them1

Pages are listed as the models cited them.

By model

How each model answered on Legacy SAP BusinessObjects across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.

Model	Warning	Labels
Claude Haiku 4.5	0	0
GPT-5.4 mini	0	0
Gemini 3.5 Flash	0	0
Perplexity Sonar	0	0
Grok 4.20	0	0
Mistral Small	0	0
DeepSeek V4 Flash	0	0
Llama 4 Maverick	0	0
Qwen 3.7 Flash	0	0
Kimi K2	1	1
GLM 4.7 FlashX	0	0
MiniMax M2.5	0	0
GPT-6 Luna	0	0
Muse Glimmer 30B	0	0