Embedded analytics · November 2026 Edition
Luzmo vs Apache Superset
Two of fourteen models named Luzmo first on the direct prompt; zero named Apache Superset. Luzmo was named by thirteen of the fourteen models and Apache Superset by nine and Luzmo carries 35 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 share17%2%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate6%9%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#2#8A position in a field of 15; printed, not drawn.
Labels3511A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Luzmo reading right to left. Rank and label count are printed, not drawn.Sisense was named alongside these two in ten of the fourteen direct answers. Metabase vs Luzmo · 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.
LuzmoFirst choices, of fourteen modelsApache Superset
Direct20
Paraphrase60
Comparative00
Budget-constrained012 against Luzmo
Scale-constrained00
Negative101 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 Luzmo 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 | | | | |
Luzmo Apache Superset first choice named as an alternative argued againstblank: not namedEach cell is one answer, Luzmo on the left and Apache Superset on the right.The direct prompt
The plain question, one answer per model, grouped by where Luzmo and Apache Superset stood in it.
Luzmo first, Apache Superset not the choice
2 of 14 modelsApache Superset was named in the answer but not as the choice, or not at all.Gemini 3.5 FlashLuzmo alternatives: Embeddable, Explo, Omni, Qrvey
DeepSeek V4 FlashLuzmo, Sisense alternatives: GoodData, Microsoft Power BI Embedded
Neither was the first choice, one was named
3 of 14 modelsThe answer put something else first and named one of the two as an alternative.Qwen 3.7 FlashSisense alternatives: GoodData, Looker, Luzmo, Qrvey, Zoho 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
9 of 14 modelsThe answer made no first choice from these two in this category.Claude Haiku 4.5no first choice alternatives: Metabase, Microsoft Power BI Embedded, Omni, Sigma, Sisense
GPT-5.4 miniSisense alternatives: Looker, Metabase, Power BI Embedded, Toucan
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
Mistral SmallCube, Sisense alternatives: Power BI Embedded, Tableau Embedded Analytics
Llama 4 Maverickno first choice
GLM 4.7 FlashXSisense alternatives: Looker, Power BI Embedded
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
Luzmo leads by eight points.
Luzmo8%#4 of 13Apache Superset0%#– of 13Mid-marketThe figures above
Luzmo leads by fifteen points.
Luzmo17%#2 of 15Apache Superset2%#8 of 15Enterprise
Level: the same share of first choices.
Luzmo0%#10 of 15Apache Superset0%#– of 15What the models said about Luzmo
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Five of six in this category shown.
“Avoid platforms like Luzmo ($2,000+/month)” DeepSeek V4 Flash · budget prompt · hard negative
“Luzmo (€1,995+/month)” Grok 4.20 · budget prompt · hard negative
“Luzmo is an embedded analytics platform built specifically for SaaS companies that need customer-facing dashboards with white-label control” Claude Haiku 4.5 · paraphrase prompt · first choice
“Luzmo — if you want to get customer-facing analytics live fast at a predictable mid-market price point” DeepSeek V4 Flash · direct prompt · first choice
“the default recommendation is Luzmo if customer-facing analytics is a core product feature” Perplexity Sonar · paraphrase 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 LuzmoMetabase vs Apache SupersetLuzmo vs SisenseLuzmo vs QrveyLuzmo vs Microsoft Power BI EmbeddedLuzmo vs EmbeddableLuzmo vs Zoho AnalyticsSisense vs Apache SupersetQrvey 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.