Embedded analytics · October 2026 Edition
Luzmo vs Apache Superset
One of fourteen models named Luzmo first on the direct prompt; zero named Apache Superset. Luzmo was named by eleven of the fourteen models and Apache Superset by nine and Luzmo carries 29 labels and Apache Superset 10, so the shares are not directly comparable.
Named in one category this edition.
Named in one category this edition.
First-choice share13%2%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate3%20%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#3#8A position in a field of 19; printed, not drawn.
Labels2910A 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 eight of the fourteen direct answers. Metabase vs Luzmo · Metabase vs Apache Superset · Sisense vs Luzmo
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
Direct10
Paraphrase40
Comparative00
Budget-constrained111 against Luzmo · 2 against Apache Superset
Scale-constrained10
Negative10
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 4.1 Fast | | | | | ||
| 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
1 of 14 modelsApache Superset was named in the answer but not as the choice, or not at all.DeepSeek V4 FlashLuzmo alternatives: GoodData, Sisense
Neither was the first choice, one was named
1 of 14 modelsThe answer put something else first and named one of the two as an alternative.Gemini 3.5 FlashOmni alternatives: Embeddable, Luzmo, Metabase, Qrvey
Neither was named
12 of 14 modelsThe answer made no first choice from these two in this category.Claude Haiku 4.5Sisense alternatives: Holistics, Looker Embedded, Metabase, Power BI Embedded
GPT-5.4 miniSisense alternatives: Looker, Power BI Embedded, ThoughtSpot Embedded
Perplexity SonarThoughtSpot Embedded alternatives: Cube, Looker, Zoho Analytics
Grok 4.1 FastReveal BI alternatives: Bold BI, Domo Everywhere, Power BI Embedded, Tableau, Zoho Analytics
Mistral SmallExplo, Sisense alternatives: Microsoft Power BI Embedded, Tableau Embedded Analytics
Llama 4 MaverickReveal BI alternatives: Cube.dev, Omni.co, Thinklytics Insights, Zoho
Qwen 3.7 FlashSisense alternatives: Looker, Microsoft Power BI Embedded, ThoughtSpot Embedded
Kimi K2Explo alternatives: Looker, Metabase, Power BI Embedded, Preset
GLM 4.7 FlashXMetabase alternatives: Looker, ThoughtSpot Embedded
MiniMax M2.5Microsoft Power BI Embedded alternatives: Cube, Explo, Grow, Looker, Metabase, Sisense, Tableau Embedded Analytics, ThoughtSpot Embedded
GPT-6 LunaMetabase alternatives: Looker Embed, Sisense, ThoughtSpot Embedded
Muse Glimmer 30BSisense alternatives: Reveal BI, Toucan
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 ten points.
Luzmo12%#2 of 17Apache Superset2%#– of 17Mid-marketThe figures above
Luzmo leads by eleven points.
Luzmo13%#3 of 19Apache Superset2%#8 of 19Enterprise
Level: the same share of first choices.
Luzmo0%#13 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. Four of five in this category shown.
“avoid per-viewer pricing like Metabase Pro or Luzmo if user base grows fast” Grok 4.1 Fast · budget prompt · soft negative
“I'd recommend Luzmo or Explo if your top priority is fast, white-labeled dashboard embedding with minimal engineering overhead.” Perplexity Sonar · paraphrase prompt · first choice
“Dedicated embedded analytics platforms (like Luzmo, Toucan, Reveal, Cube) were built from the ground up for embedding.” DeepSeek V4 Flash · negative prompt · first choice
“If you want to get it done in a week with a beautiful, fully white-labeled UX and zero developer headache: Go with Luzmo.” Gemini 3.5 Flash · 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. Five of six in this category shown.
“free options, but embedding typically requires paid tiers or significant engineering work to white-label properly” DeepSeek V4 Flash · budget prompt · soft negative
“it has a steeper learning curve to deploy and configure than Metabase” Gemini 3.5 Flash · budget prompt · soft negative
“If you hit their pricing limits and have engineering capacity, move to Apache Superset.” Qwen 3.7 Flash · budget prompt · first choice
“Apache Superset is the lower-license-cost alternative” GPT-6 Luna · budget prompt · alternative
“Apache Superset is a free SQL-native alternative” Muse Glimmer 30B · budget prompt · alternative
Also compared
Metabase vs LuzmoMetabase vs Apache SupersetSisense vs LuzmoSisense vs Apache SupersetLuzmo vs ExploLuzmo vs ThoughtSpot EmbeddedLuzmo vs CubeLuzmo vs GoodDataExplo vs Apache SupersetThoughtSpot Embedded vs Apache SupersetCube vs Apache SupersetGoodData 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.