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Embedded analytics · October 2026 Edition

Explo vs Cube

Two of fourteen models named Explo first on the direct prompt; zero named Cube. Explo was named by nine of the fourteen models and Cube by ten and Explo carries 19 labels and Cube 20, so the shares are not directly comparable.

Explo

accepted challenger

Named in one category this edition.

Cube

accepted challenger

Named in three categories this edition.

First-choice share7%2%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate5%0%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#4#6A position in a field of 19; printed, not drawn.
Labels1920A 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 Cube · 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 modelsCube
Direct20
Paraphrase20
Comparative12
Budget-constrained00
Scale-constrained01
Negative121 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 Cube stood in it.
ModelDirectParaphraseComparativeBudget-constrainedScale-constrainedNegative
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 Cube first choice named as an alternative argued againstblank: not namedEach cell is one answer, Explo on the left and Cube on the right.

The direct prompt

The plain question, one answer per model, grouped by where Explo and Cube stood in it.

Explo first, Cube not the choice

2 of 14 modelsCube 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

2 of 14 modelsThe answer put something else first and named one of the two as an alternative.
Perplexity SonarThoughtSpot Embedded alternatives: Cube, Looker, Zoho Analytics
MiniMax M2.5Microsoft Power BI Embedded alternatives: Cube, Explo, Grow, Looker, Metabase, Sisense, Tableau Embedded Analytics, ThoughtSpot Embedded

Neither was named

10 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
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 six points.
Explo6%#4 of 17
Cube0%#– of 17
The full small business standing →
Mid-marketThe figures above
Explo leads by five points.
Explo7%#4 of 19
Cube2%#6 of 19
The full mid-market standing →
Enterprise
The order flips: Cube leads at enterprise.
Cube2%#– of 15
Explo0%#– of 15
The full enterprise standing →

What 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 Cube

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Three of four in this category shown.

“Cube: An industry-standard "headless" semantic layer with an open-source core. It is excellent for high-concurrency, complex multi-tenancy, and has a native AI-agent API.” Gemini 3.5 Flash · scale prompt · first choice
“Choose Cube or Omni if you are building a modern SaaS application that needs scalable, highly secure multi-tenancy” Gemini 3.5 Flash · comparative prompt · first choice
“Choose Cube if you need strong multi-tenant isolation and row-level security for SaaS embedding.” Perplexity Sonar · comparative prompt · first choice
Also compared

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.