Embedded analytics · October 2026 Edition
Metabase vs Cube
Two of fourteen models named Metabase first on the direct prompt; zero named Cube. Metabase was named by fourteen of the fourteen models and Cube by ten and Metabase carries 40 labels and Cube 20, so the shares are not directly comparable.
Named in two categories this edition.
Named in three categories this edition.
First-choice share22%2%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate12%0%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#1#6A position in a field of 19; printed, not drawn.
Labels4020A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Metabase 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 Sisense · Metabase vs Luzmo · Metabase 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.
MetabaseFirst choices, of fourteen modelsCube
Direct20
Paraphrase101 against Metabase
Comparative022 against Metabase
Budget-constrained90
Scale-constrained01
Negative022 against Metabase
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 Metabase 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 | | | |
Metabase Cube first choice named as an alternative argued againstblank: not namedEach cell is one answer, Metabase on the left and Cube on the right.The direct prompt
The plain question, one answer per model, grouped by where Metabase and Cube stood in it.
Metabase first, Cube not the choice
2 of 14 modelsCube was named in the answer but not as the choice, or not at all.GLM 4.7 FlashXMetabase alternatives: Looker, ThoughtSpot Embedded
GPT-6 LunaMetabase alternatives: Looker Embed, Sisense, ThoughtSpot Embedded
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.Claude Haiku 4.5Sisense alternatives: Holistics, Looker Embedded, Metabase, Power BI Embedded
Gemini 3.5 FlashOmni alternatives: Embeddable, Luzmo, Metabase, Qrvey
Perplexity SonarThoughtSpot Embedded alternatives: Cube, Looker, Zoho Analytics
Kimi K2Explo alternatives: Looker, Metabase, Power BI Embedded, Preset
MiniMax M2.5Microsoft Power BI Embedded alternatives: Cube, Explo, Grow, Looker, Metabase, Sisense, Tableau Embedded Analytics, ThoughtSpot Embedded
Neither was named
7 of 14 modelsThe answer made no first choice from these two in this category.GPT-5.4 miniSisense alternatives: Looker, Power BI Embedded, ThoughtSpot Embedded
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
Qwen 3.7 FlashSisense alternatives: Looker, Microsoft Power BI Embedded, 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
Metabase leads by forty-six points.
Metabase46%#1 of 17Cube0%#– of 17Mid-marketThe figures above
Enterprise
The order flips: Cube leads at enterprise.
Cube2%#– of 15Metabase0%#15 of 15What the models said about Metabase
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“self-hosted Metabase for embedding (security, performance)” DeepSeek V4 Flash · negative prompt · hard negative
“often cited as the fastest path to a first embedded dashboard but hits limits on serious multi-tenant isolation” Kimi K2 · comparative prompt · soft negative
“Deep embedding features gated to paid tiers; multi-tenant isolation weaker than dedicated embedded platforms” DeepSeek V4 Flash · comparative prompt · soft negative
“Metabase (especially with static embeds) and Querio are the top recommendations for companies with limited budgets” Mistral Small · budget prompt · first choice
“the best embedded analytics platform is likely the open-source self-hosted version of Metabase, which is completely free” Grok 4.1 Fast · budget prompt · first choice
“Start with Metabase if you want to test the waters cost-effectively and have engineering resources” Kimi K2 · 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 SisenseMetabase vs LuzmoMetabase vs ExploMetabase vs ThoughtSpot EmbeddedMetabase vs GoodDataMetabase vs Apache SupersetSisense vs CubeLuzmo vs CubeExplo vs CubeThoughtSpot Embedded vs CubeCube 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.