Embedded analytics · November 2026 Edition
Sisense vs Apache Superset
Five of fourteen models named Sisense first on the direct prompt; zero named Apache Superset. Sisense was named by fourteen of the fourteen models and Apache Superset by nine and Sisense carries 50 labels and Apache Superset 11, so the shares are not directly comparable.
Named in one category this edition.
Named in one category this edition.
First-choice share11%2%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate24%9%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#3#8A position in a field of 15; printed, not drawn.
Labels5011A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Sisense reading right to left. Rank and label count are printed, not drawn.Metabase vs Sisense · Metabase vs Apache Superset · Luzmo vs Sisense
Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all fourteen models, for a mid-market B2B company; rank is within the category; every quote names the model and the prompt it came from. Both figures come from the embedded analytics page.
By framing
How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
SisenseFirst choices, of fourteen modelsApache Superset
Direct50
Paraphrase001 against Sisense
Comparative60
Budget-constrained014 against Sisense
Scale-constrained001 against Sisense
Negative106 against Sisense · 1 against Apache Superset
Bars are first choices, 0 to 14 each sideModels that argued againstA model can name both, so the two sides of a row do not sum to fourteen.
Every model, every framing
The eighty-four answers behind the chart above, one cell each: where Sisense and Apache Superset stood in it.
| Model | Direct | Paraphrase | Comparative | Budget-constrained | Scale-constrained | Negative |
|---|---|---|---|---|---|---|
| Claude Haiku 4.5 | | | ||||
| GPT-5.4 mini | | | | | | |
| Gemini 3.5 Flash | | | | | ||
| Perplexity Sonar | | | ||||
| Grok 4.20 | | | | | | |
| Mistral Small | | | | |||
| DeepSeek V4 Flash | | | | | | |
| Llama 4 Maverick | | |||||
| Qwen 3.7 Flash | | | | | | |
| Kimi K2 | | | ||||
| GLM 4.7 FlashX | | | | | | |
| MiniMax M2.5 | | | ||||
| GPT-6 Luna | | | | |||
| Muse Glimmer 30B | | | |
Sisense Apache Superset first choice named as an alternative argued againstblank: not namedEach cell is one answer, Sisense on the left and Apache Superset on the right.The direct prompt
The plain question, one answer per model, grouped by where Sisense and Apache Superset stood in it.
Sisense first, Apache Superset not the choice
5 of 14 modelsApache Superset was named in the answer but not as the choice, or not at all.GPT-5.4 miniSisense alternatives: Looker, Metabase, Power BI Embedded, Toucan
Mistral SmallCube, Sisense alternatives: Power BI Embedded, Tableau Embedded Analytics
DeepSeek V4 FlashLuzmo, Sisense alternatives: GoodData, Microsoft Power BI Embedded
Qwen 3.7 FlashSisense alternatives: GoodData, Looker, Luzmo, Qrvey, Zoho Analytics
GLM 4.7 FlashXSisense alternatives: Looker, Power BI Embedded
Neither was the first choice, one was named
5 of 14 modelsThe answer put something else first and named one of the two as an alternative.Claude Haiku 4.5no first choice alternatives: Metabase, Microsoft Power BI Embedded, Omni, Sigma, Sisense
Perplexity SonarQrvey alternatives: Embeddable, GoodData, Holistics, Looker Embedded, Omni, Power BI Embedded, Sigma, Sisense
Grok 4.20Microsoft Power BI Embedded alternatives: Domo Everywhere, Dundas BI, Looker, Qlik Sense Embedded, Qrvey, Sisense, Tableau Embedded Analytics
Kimi K2Microsoft Power BI Embedded alternatives: Embeddable, Looker, Luzmo, Sisense, Tableau Embedded Analytics
Muse Glimmer 30BQrvey alternatives: Dundas BI, Embeddable, Holistics, Luzmo, Omni, Power BI Embedded, Sisense, Zoho Analytics
Neither was named
4 of 14 modelsThe answer made no first choice from these two in this category.Gemini 3.5 FlashLuzmo alternatives: Embeddable, Explo, Omni, Qrvey
Llama 4 Maverickno first choice
MiniMax M2.5Domo Everywhere, Microsoft Power BI Embedded alternatives: Looker, Qlik Embedded Analytics / QAP, Tableau Embedded Analytics
GPT-6 LunaMetabase alternatives: Looker, Power BI Embedded, Sigma
Bold names in an answer are the products the judge labeled a first choice; a model naming several gives each of them that label. The full answer text for every row is in the record.
By buyer segment
The same question asked on behalf of a different buyer. Each standing is computed within its segment and they are never added together. The figures above are the mid-market standing, which is the one the category orders by.
Small business
Level: the same share of first choices.
Sisense0%#12 of 13Apache Superset0%#– of 13Mid-marketThe figures above
Sisense leads by nine points.
Sisense11%#3 of 15Apache Superset2%#8 of 15Enterprise
Sisense leads by thirty points.
Sisense30%#1 of 15Apache Superset0%#– of 15What the models said about Sisense
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“Verdict: Exercise extreme caution, especially for sensitive data” Kimi K2 · negative prompt · hard negative
“Avoid high-end tools like Tableau ($75+/user), Sisense ($399+)” Grok 4.20 · budget prompt · hard negative
“Avoid platforms like Luzmo ($2,000+/month), Sisense” DeepSeek V4 Flash · budget prompt · hard negative
“Sisense is widely considered the premier embedded analytics platform, especially for complex data environments.” DeepSeek V4 Flash · comparative prompt · first choice
“If you're building a SaaS product: start with Sisense, ThoughtSpot Embedded, GoodData, or Qrvey” GPT-5.4 mini · comparative prompt · first choice
“The Best All-Rounder: Sisense ... widely considered the gold standard for mid-market companies” Qwen 3.7 Flash · direct prompt · first choice
What the models said about Apache Superset
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Four of five in this category shown.
“Free software, but high DevOps overhead & manual multi-tenancy setup” Gemini 3.5 Flash · negative prompt · soft negative
“Apache Superset – fully customizable, open-source, and free to deploy.” GLM 4.7 FlashX · budget prompt · first choice
“Open-source like Apache Superset or Metabase can be cost-effective with customization but require more dev work” Grok 4.20 · negative prompt · alternative
“Use Superset only if you have zero budget for software licenses but have plenty of engineering bandwidth” Qwen 3.7 Flash · paraphrase prompt · alternative
Also compared
Metabase vs SisenseMetabase vs Apache SupersetLuzmo vs SisenseLuzmo vs Apache SupersetSisense vs QrveySisense vs Microsoft Power BI EmbeddedSisense vs EmbeddableSisense vs Zoho AnalyticsQrvey vs Apache SupersetMicrosoft Power BI Embedded vs Apache SupersetEmbeddable vs Apache SupersetZoho Analytics vs Apache SupersetAll twenty-eight head-to-head pages and the full embedded analytics standing
Comparisons are drawn for the top eight products in each category, each against each. The output is the models' output; nothing here is a recommendation by the index.