GTM AI Index

Index › Vendors › Amazon QuickSight · September 2026 Edition

1 category · Named, not ranked

Amazon QuickSight

20Judge labels

0First choices

6Negative labels

9 of 12Models named it

1Category

September 2026 Edition. Every number here is derived from the raw labels under vendor table v2026-09-16.3, every buyer segment counted.

Standing

8 labels, too few to rank

A product needs 10 labels in a category before a share or quadrant is stated. Amazon QuickSight was named 8 times in BI & dashboards, where Microsoft Power BI led with 62%. The labels and the evidence are below, counted exactly.

By buyer segmentRead the same way at every buyer size.

Small business7 of 56

under the label threshold

Mid-market15 of 73

under the label threshold

Enterprise58 of 61

under the label threshold

In bi & dashboards · each standing computed within its segment · bars are 0 to 100 · the accent bar is the product's own best reading

Standing by category

Every category where a model named Amazon QuickSight for a mid-market B2B company. Share is first choices across the direct, paraphrase, budget and scale prompts; rank is within every product named in that category.

Category	Function	Share	Rank	Negative rate	Labels	Quadrant
Dashboards and data visualization	GTM data and infrastructure	0%	15 of 73	12%	8	under 10 labels · led by Microsoft Power BI at 62%

Movement

This is the first edition on this tier, so no move can be computed for Amazon QuickSight yet. The next is due October 1, 2026. From the next edition this section shows, per buyer segment, whether its share moved by more than the measured noise floor.

By model

How each model treated Amazon QuickSight across every prompt where it was named for a mid-market B2B company. Twelve models, six prompts per category.

Model	Alternative	Mention	Negative	Labels
Claude Haiku 4.5	0	0	0	0
GPT-5.4 mini	0	0	0	0
Gemini 3.5 Flash	1	0	1	2
Perplexity Sonar	0	1	0	1
Grok 4.1 Fast	0	0	0	0
Mistral Small	0	0	0	0
DeepSeek V4 Flash	1	2	0	3
Llama 4 Maverick	0	0	0	0
Qwen 3.7 Flash	0	0	0	0
Kimi K2	0	1	0	1
GLM 4.7 FlashX	0	0	0	0
MiniMax M2.5	0	1	0	1

By framing

Which of the six questions produced the naming. By model says how often; this says asked what. The first-choice count on the right carries the marks of the models that produced it.

FramingLabels by classFirst choices

Direct2 labelsNone

Paraphrase0 labelsNone

Comparative9 labelsNone

Budget-constrained4 labelsNone

Scale-constrained1 labelNone

Negative4 labelsNone

First choiceAlternativeMentionNegative20 labels in all, every segment counted; 0 of the 0 first choices count toward share, since the comparative and negative framings do not. The bar is one segment per label class, to scale within the framing.

What the models said for it

Verbatim evidence the judge attached to positive labels.

“Choose Amazon QuickSight if your infrastructure is entirely on AWS” Gemini 3.5 Flash · BI & dashboards · comparative prompt · alternative

“Cheapest Per-Seat for Readers” DeepSeek V4 Flash · BI & dashboards · budget prompt · alternative

And against it

Verbatim evidence attached to negative labels. A warning on a product with few labels is a warning; on a product with many, it is one voice among them.

“Avoid if your data sits outside of AWS.” Gemini 3.5 Flash · BI & dashboards · negative prompt · hard negative

Named alongside

The products named in the same answers as Amazon QuickSight, over the 20 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Amazon QuickSight was named but was not.

ProductSame answerTook the first choice insteadHead to head

Microsoft Power BI19 of 2012Not in the top three

Tableau19 of 203Not in the top three

Looker15 of 200Not in the top three

ThoughtSpot13 of 200Not in the top three

Qlik Sense12 of 200Not in the top three

Sisense12 of 200Not in the top three

Domo11 of 200Not in the top three

Metabase10 of 201Not in the top three

Looker Studio9 of 202Not in the top three

Sigma9 of 200Not in the top three

A head-to-head page exists where both products are in a category's top three. The other rows are the same fact without a page behind them, so they link to the product instead.

What carried it into the answer

The sites and pages cited by the answers that named Amazon QuickSight. A fact about retrieval, not a lever on the model.

Citations exist only for the models that return a source list, four of the twelve in this edition, so these counts come from 1 of the 20 answers that named Amazon QuickSight and are not a share of its labels.

Domains cited

atlassian.com1

cio.com1

domo.com1

holistics.io1

inetsoft.com1

integrate.io1

mopinion.com1

ovaledge.com1

qlik.com1

reportviewers.com1

Ten of the ten domain citations in answers naming Amazon QuickSight came from somebody else's page.

Pages cited

atlassian.com/data/business-intelligence/10-data-visualization-tools1

cio.com/article/222558/top-business-intelligence-bi-tools.html1

domo.com/learn/article/business-intelligence-tools1

holistics.io/blog/business-intelligence-bi-tools1

inetsoft.com/info/top_business_intelligence_tools1

integrate.io/blog/top-business-intelligence-tools1

mopinion.com/business-intelligence-bi-tools-overview1

ovaledge.com/blog/business-intelligence-tools1

Pages are listed as the models cited them.

The company

Amazon Europe Core is the company behind Amazon QuickSight.

Website: amazon.com
Headquarters: Seattle, United States
Founded: 1994
Employees: about 1,500,000 (2023)
Ownership: Public, AMZN on Nasdaq

From Wikidata, fetched September 14, 2026. These describe the company, not the product's standing, and a claimed page can dispute any of them. · Wikidata · Crunchbase

Is this your product?

Claim this page

Claiming is free and changes nothing in the data. A claimed page shows a verified contact who is told when each edition publishes and when Amazon QuickSight's standing changes by more than the noise floor; the right to propose corrections to the vendor table, meaning names the judge wrote that should or should not read as Amazon QuickSight, applied by version and listed in the change log; and a one-line description supplied by the vendor and marked as such.

It does not get any change to labels, shares or verdicts, any preview, or any say over which quotes appear. A verification link goes to your work email; an address at amazon.com is approved on the spot, any other address is reviewed by hand.

Your name and company appear on the claimed page, or the company alone if you ask below. A title and a LinkedIn address appear there too if you give them, and are left off if you do not. Your email address is never published.