Embedded analytics · October 2026 Edition
Explo vs Apache Superset
Two of fourteen models named Explo first on the direct prompt; zero named Apache Superset. Explo was named by nine of the fourteen models and Apache Superset by nine and Explo carries 19 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 share7%2%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate5%20%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#4#8A position in a field of 19; printed, not drawn.
Labels1910A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Explo 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 Explo · Metabase vs Apache Superset · Sisense vs Explo
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.
ExploFirst choices, of fourteen modelsApache Superset
Direct20
Paraphrase20
Comparative10
Budget-constrained012 against Apache Superset
Scale-constrained00
Negative101 against Explo
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 Explo 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 | | |
Explo Apache Superset first choice named as an alternative argued againstblank: not namedEach cell is one answer, Explo on the left and Apache Superset on the right.The direct prompt
The plain question, one answer per model, grouped by where Explo and Apache Superset stood in it.
Explo 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.Mistral SmallExplo, Sisense alternatives: Microsoft Power BI Embedded, Tableau Embedded Analytics
Kimi K2Explo alternatives: Looker, Metabase, Power BI Embedded, Preset
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.MiniMax M2.5Microsoft Power BI Embedded alternatives: Cube, Explo, Grow, Looker, Metabase, Sisense, Tableau Embedded Analytics, ThoughtSpot Embedded
Neither was named
11 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
Gemini 3.5 FlashOmni alternatives: Embeddable, Luzmo, Metabase, Qrvey
Perplexity SonarThoughtSpot Embedded alternatives: Cube, Looker, Zoho Analytics
Grok 4.1 FastReveal BI alternatives: Bold BI, Domo Everywhere, Power BI Embedded, Tableau, Zoho Analytics
DeepSeek V4 FlashLuzmo alternatives: GoodData, Sisense
Llama 4 MaverickReveal BI alternatives: Cube.dev, Omni.co, Thinklytics Insights, Zoho
Qwen 3.7 FlashSisense alternatives: Looker, Microsoft Power BI Embedded, ThoughtSpot Embedded
GLM 4.7 FlashXMetabase alternatives: Looker, 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
Explo leads by four points.
Explo6%#4 of 17Apache Superset2%#– of 17Mid-marketThe figures above
Enterprise
Level: the same share of first choices.
Explo0%#– of 15Apache Superset0%#– of 15What the models said about Explo
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Four of five in this category shown.
“Recommendation: Avoid new commitments; existing customers should plan migration.” Kimi K2 · negative prompt · hard negative
“Sisense and Explo are the strongest contenders, with Sisense leading for technical flexibility and Explo for rapid, customer-facing deployment.” Mistral Small · direct prompt · first choice
“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
“look for embedded-first or developer-first analytics platforms (such as *Explo*, *Vizzly*, *Tremor*, *Embeddable*, or *Cube*)” Gemini 3.5 Flash · negative 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 ExploMetabase vs Apache SupersetSisense vs ExploSisense vs Apache SupersetLuzmo vs ExploLuzmo vs Apache SupersetExplo vs ThoughtSpot EmbeddedExplo vs CubeExplo vs GoodDataThoughtSpot 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.