Embedded analytics · November 2026 Edition
Sisense vs Microsoft Power BI Embedded
Five of fourteen models named Sisense first on the direct prompt; three named Microsoft Power BI Embedded. Sisense was named by fourteen of the fourteen models and Microsoft Power BI Embedded by thirteen and Sisense carries 50 labels and Microsoft Power BI Embedded 26, so the shares are not directly comparable.
Named in one category this edition.
Named in one category this edition.
First-choice share11%6%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate24%46%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#3#5A position in a field of 15; printed, not drawn.
Labels5026A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Sisense reading right to left. Rank and label count are printed, not drawn.Metabase vs Sisense · Metabase vs Microsoft Power BI Embedded · Luzmo vs Sisense
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.
SisenseFirst choices, of fourteen modelsMicrosoft Power BI Embedded
Direct532 against Microsoft Power BI Embedded
Paraphrase001 against Sisense · 3 against Microsoft Power BI Embedded
Comparative60
Budget-constrained004 against Sisense
Scale-constrained001 against Sisense
Negative106 against Sisense · 7 against Microsoft Power BI 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.
Across every category in the November 2026 Edition, Sisense and Microsoft Power BI Embedded were named in the same answer forty-six times, of the 140 answers naming Sisense and the 72 naming Microsoft Power BI Embedded. In those answers Microsoft Power BI Embedded took the first choice five times and Sisense twelve.
Every model, every framing
The eighty-four answers behind the chart above, one cell each: where Sisense and Microsoft Power BI Embedded 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 4.20 | | | | | | |
| 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 | | |
Sisense Microsoft Power BI Embedded first choice named as an alternative argued againstblank: not namedEach cell is one answer, Sisense on the left and Microsoft Power BI Embedded on the right.The direct prompt
The plain question, one answer per model, grouped by where Sisense and Microsoft Power BI Embedded stood in it.
Sisense first, Microsoft Power BI Embedded an alternative
5 of 14 modelsMicrosoft Power BI Embedded was named in the answer but not as the choice, or not at all.GPT-5.4 miniSisense alternatives: Looker, Metabase, Power BI Embedded, Toucan
Mistral SmallCube, Sisense alternatives: Power BI Embedded, Tableau Embedded Analytics
DeepSeek V4 FlashLuzmo, Sisense alternatives: GoodData, Microsoft Power BI Embedded
Qwen 3.7 FlashSisense alternatives: GoodData, Looker, Luzmo, Qrvey, Zoho Analytics
GLM 4.7 FlashXSisense alternatives: Looker, Power BI Embedded
Microsoft Power BI Embedded first, Sisense an alternative
3 of 14 modelsSisense was named in the answer but not as the choice, or not at all.Grok 4.20Microsoft Power BI Embedded alternatives: Domo Everywhere, Dundas BI, Looker, Qlik Sense Embedded, Qrvey, Sisense, Tableau Embedded Analytics
Kimi K2Microsoft Power BI Embedded alternatives: Embeddable, Looker, Luzmo, Sisense, Tableau Embedded Analytics
MiniMax M2.5Domo Everywhere, Microsoft Power BI Embedded alternatives: Looker, Qlik Embedded Analytics / QAP, Tableau Embedded Analytics
Neither was the first choice, one was named
3 of 14 modelsThe answer put something else first and named one of the two as an alternative.Claude Haiku 4.5no first choice alternatives: Metabase, Microsoft Power BI Embedded, Omni, Sigma, Sisense
Perplexity SonarQrvey alternatives: Embeddable, GoodData, Holistics, Looker Embedded, Omni, Power BI Embedded, Sigma, Sisense
Muse Glimmer 30BQrvey alternatives: Dundas BI, Embeddable, Holistics, Luzmo, Omni, Power BI Embedded, Sisense, Zoho Analytics
Neither was named
3 of 14 modelsThe answer made no first choice from these two in this category.Gemini 3.5 FlashLuzmo alternatives: Embeddable, Explo, Omni, Qrvey
Llama 4 Maverickno first choice
GPT-6 LunaMetabase alternatives: Looker, Power BI Embedded, Sigma
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.
Sisense0%#12 of 13Microsoft Power BI Embedded0%#11 of 13Mid-marketThe figures above
Sisense leads by four points.
Sisense11%#3 of 15Microsoft Power BI Embedded6%#5 of 15Enterprise
Sisense leads by twenty-two points.
Sisense30%#1 of 15Microsoft Power BI Embedded9%#5 of 15What the models said about Sisense
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“Verdict: Exercise extreme caution, especially for sensitive data” Kimi K2 · negative prompt · hard negative
“Avoid high-end tools like Tableau ($75+/user), Sisense ($399+)” Grok 4.20 · budget prompt · hard negative
“Avoid platforms like Luzmo ($2,000+/month), Sisense” DeepSeek V4 Flash · budget prompt · hard negative
“Sisense is widely considered the premier embedded analytics platform, especially for complex data environments.” DeepSeek V4 Flash · comparative prompt · first choice
“If you're building a SaaS product: start with Sisense, ThoughtSpot Embedded, GoodData, or Qrvey” GPT-5.4 mini · comparative prompt · first choice
“The Best All-Rounder: Sisense ... widely considered the gold standard for mid-market companies” Qwen 3.7 Flash · direct prompt · first choice
What the models said about Microsoft Power BI 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.
“Traditional enterprise BI platforms (like Tableau, Power BI, or Looker) often fail mid-market B2B SaaS teams.” Gemini 3.5 Flash · direct prompt · hard negative
“Faces significant criticism (73% negative for small businesses... Issues include complexity and expense” Mistral Small · negative prompt · hard negative
“Best For: Internal dashboards only; avoid if building a customer-facing product.” Qwen 3.7 Flash · negative prompt · hard negative
“I'd recommend starting with Microsoft Power BI or Domo Everywhere” MiniMax M2.5 · direct prompt · first choice
“Top Recommendation: Microsoft Power BI Embedded” Grok 4.20 · direct prompt · first choice
“1. Microsoft Power BI (Best Overall Value)” Kimi K2 · direct prompt · first choice
Also compared
Metabase vs SisenseMetabase vs Microsoft Power BI EmbeddedLuzmo vs SisenseLuzmo vs Microsoft Power BI EmbeddedSisense vs QrveySisense vs EmbeddableSisense vs Zoho AnalyticsSisense vs Apache SupersetQrvey vs Microsoft Power BI EmbeddedMicrosoft Power BI Embedded vs EmbeddableMicrosoft Power BI Embedded vs Zoho AnalyticsMicrosoft Power BI Embedded 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.