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Index › Finance › Products › Apache Superset · November 2026 Edition

Financial reporting and dashboards · Named, not ranked

Apache Superset

Apache Superset is a dashboard and data visualization tool for exploring larger datasets with SQL

–Too few to rank

6/14Models named it

0First choices

5Warnings

November 2026 Edition · all company sizes counted.

Ranked inFinancial reporting and dashboards #28 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. Apache Superset has 4.

Why models recommend it

“For flexibility & control: Look at open-source options like Apache Superset, Metabase, or LibreOffice Base.”MiniMax M2.5 · Negative question · alternative

“Open-source reporting tools (JasperReports, Metabase, Apache Superset)”Kimi K2 · Negative question · alternative

“Open-source reporting tools favored by startups and engineering teams.”Gemini 3.5 Flash · Comparative question · alternative

“Look at frameworks like Cube.js, Tremor, or Apache Superset”Gemini 3.5 Flash · Negative question · alternative

What gives them pause

No model argued against it.

Also on the shortlist

The products named in the same answers as Apache Superset, over the 11 answers that named it, and how often each was the first choice instead.

Product	Named together	Picked instead
Metabase	11	0	View →
Microsoft Power BI	10	2	View →
Tableau	7	0	View →
Looker Studio	6	1	View →
IBM Cognos Analytics	5	0	View →
Looker	5	0	View →
Microsoft Excel	4	0	View →
Qlik Sense	4	0	View →
Google Sheets	3	0	View →
Oracle Analytics	3	0	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 Apache Superset 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 6 of the 11 answers that named Apache Superset and are not a share of its labels.

Domains cited

basedash.com2

dev.to2

reddit.com2

usepalm.com2

alium.io1

analytics8.com1

anodot.com1

appsassociates.com1

arxiv.org1

assets.contenthub.wolterskluwer.com1

No domain is on file for Apache Superset, so its own site is not marked.

Pages cited

reddit.com/r/BusinessIntelligence/comments/g1oji2/what_is_the_worst_software_you_frequentl2

usepalm.com/blog/why-reporting-tools-work-so-poorly-in-enterprises-a-closer-look2

alium.io/research/top-complaints-bi1

analytics8.com/blog/bi-tool-comparison-choosing-the-best-analytics-tool-for-business1

anodot.com/blog/5-critical-shortcomings-of-traditional-bi-tools1

appsassociates.com/blog/power-bi-security-and-row-level-access-in-enterprise-organizations1

arxiv.org/html/2410.12104v11

assets.contenthub.wolterskluwer.com/api/public/content/Wolters-Kluwer-CCH-Tagetik-BARC-stu1

Pages are listed as the models cited them.

By model

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

Model	Alternative	Labels
Claude Haiku 4.5	0	0
GPT-5.4 mini	0	0
Gemini 3.5 Flash	2	2
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	1	1
GPT-6 Luna	0	0
Muse Glimmer 30B	0	0