Embedded analytics · October 2026 Edition
ThoughtSpot Embedded vs Cube
One of fourteen models named ThoughtSpot Embedded first on the direct prompt; zero named Cube. ThoughtSpot Embedded was named by eleven of the fourteen models and Cube by ten and ThoughtSpot Embedded carries 36 labels and Cube 20, so the shares are not directly comparable.
Named in one category this edition.
Named in three categories this edition.
First-choice share5%2%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate19%0%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#5#6A position in a field of 19; printed, not drawn.
Labels3620A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, ThoughtSpot Embedded 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 ThoughtSpot Embedded · Metabase vs Cube · Sisense vs ThoughtSpot Embedded
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.
ThoughtSpot EmbeddedFirst choices, of fourteen modelsCube
Direct101 against ThoughtSpot Embedded
Paraphrase101 against ThoughtSpot Embedded
Comparative22
Budget-constrained002 against ThoughtSpot Embedded
Scale-constrained11
Negative023 against ThoughtSpot Embedded
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 ThoughtSpot Embedded and Cube 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 | | |
ThoughtSpot Embedded Cube first choice named as an alternative argued againstblank: not namedEach cell is one answer, ThoughtSpot Embedded on the left and Cube on the right.The direct prompt
The plain question, one answer per model, grouped by where ThoughtSpot Embedded and Cube stood in it.
ThoughtSpot Embedded first, Cube an alternative
1 of 14 modelsCube was named in the answer but not as the choice, or not at all.Perplexity SonarThoughtSpot Embedded alternatives: Cube, Looker, Zoho Analytics
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.GPT-5.4 miniSisense alternatives: Looker, Power BI Embedded, ThoughtSpot Embedded
Qwen 3.7 FlashSisense alternatives: Looker, Microsoft Power BI Embedded, ThoughtSpot Embedded
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
Neither was named
8 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
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
Mistral SmallExplo, Sisense alternatives: Microsoft Power BI Embedded, Tableau Embedded Analytics
DeepSeek V4 FlashLuzmo alternatives: GoodData, Sisense
Llama 4 MaverickReveal BI alternatives: Cube.dev, Omni.co, Thinklytics Insights, Zoho
Kimi K2Explo alternatives: Looker, Metabase, Power BI Embedded, Preset
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
Level: the same share of first choices.
ThoughtSpot Embedded0%#12 of 17Cube0%#– of 17Mid-marketThe figures above
ThoughtSpot Embedded leads by four points.
ThoughtSpot Embedded5%#5 of 19Cube2%#6 of 19Enterprise
Level: the same share of first choices.
ThoughtSpot Embedded2%#10 of 15Cube2%#– of 15What the models said about ThoughtSpot Embedded
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“Avoid: Looker, Domo, ThoughtSpot, and GoodData if budget is your primary constraint” DeepSeek V4 Flash · budget prompt · hard negative
“ThoughtSpot — embedded but still iframe/API oriented, with limitations around flexibility and governance overhead” Perplexity Sonar · negative prompt · soft negative
“were primarily built for internal analyst teams, not customer-facing embedding” Grok 4.1 Fast · negative prompt · soft negative
“I would choose ThoughtSpot Embedded for a typical mid-market B2B company that wants a mature platform and quicker adoption.” Perplexity Sonar · direct prompt · first choice
“ThoughtSpot is positioned as an AI-native analytics platform... ThoughtSpot wins on pure AI and ease of use” GLM 4.7 FlashX · comparative prompt · first choice
“Best overall balance for product-led customer facing analytics: Sigma Embedded or ThoughtSpot Embedded” Muse Glimmer 30B · paraphrase 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
Metabase vs ThoughtSpot EmbeddedMetabase vs CubeSisense vs ThoughtSpot EmbeddedSisense vs CubeLuzmo vs ThoughtSpot EmbeddedLuzmo vs CubeExplo vs ThoughtSpot EmbeddedExplo vs CubeThoughtSpot Embedded vs GoodDataThoughtSpot Embedded vs Apache SupersetCube vs GoodDataCube 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.