IT AI Index

Index › Products › Amazon QuickSight · October 2026 Edition

Amazon · 1 category · Named, not ranked

Amazon QuickSight

15Judge labels

0First choices

5Negative labels

8 / 14Models named it

1Category

October 2026 Edition. Every number here is derived from the raw labels under vendor table v2026-10.8, every buyer segment counted.

Standing

4 labels, too few to rank

A product needs 10 labels in a category before a share or quadrant is stated. Amazon QuickSight was named 4 times in Embedded analytics, where Metabase led with 22%. The labels and the evidence are below, counted exactly.

By buyer segmentRead the same way at every buyer size.

Small business22 of 73

under the label threshold

Mid-market35 of 72

under the label threshold

Enterprise42 of 69

under the label threshold

In embedded analytics · 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	Since September 2026
Embedded analytics	Data platform	0%	35 of 72	25%	4	under 10 labels · led by Metabase at 22%

Movement

This is the first edition on this tier, so no move can be computed for Amazon QuickSight yet. From the next edition this section shows, per buyer segment and per category, 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. Fourteen models, six prompts per category.

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Model	Alternative	Mention	Negative	Labels
Claude Haiku 4.5	0	0	0	0
GPT-5.4 mini	0	1	0	1
Gemini 3.5 Flash	1	0	0	1
Perplexity Sonar	0	0	1	1
Grok 4.1 Fast	0	0	0	0
Mistral Small	0	1	0	1
DeepSeek V4 Flash	0	0	0	0
Llama 4 Maverick	0	0	0	0
Qwen 3.7 Flash	0	0	0	0
Kimi K2	0	0	0	0
GLM 4.7 FlashX	0	0	0	0
MiniMax M2.5	0	0	0	0
GPT-6 Luna	0	0	0	0
Muse Glimmer 30B	0	0	0	0

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

Direct1 labelNone

Paraphrase1 labelNone

Comparative3 labelsNone

Budget-constrained7 labelsNone

Scale-constrained2 labelsNone

Negative1 labelNone

First choiceAlternativeMentionNegative15 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.

“Top Pick: Amazon QuickSight (under AWS)” Gemini 3.5 Flash · Embedded analytics · 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.

“can be cost-effective for sporadic usage ... but it is less mature in customization” Perplexity Sonar · Embedded analytics · budget prompt · soft negative

Named alongside

The products named in the same answers as Amazon QuickSight, over the 15 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.

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ProductSame answerTook the first choice insteadHead to head

ThoughtSpot Embedded9 of 150Not among the top eight

Metabase8 of 154Not among the top eight

GoodData6 of 152Not among the top eight

Qrvey6 of 152Not among the top eight

Looker6 of 150Not among the top eight

Power BI Embedded6 of 150Not among the top eight

Sisense6 of 150Not among the top eight

Luzmo5 of 151Not among the top eight

Tableau Embedded Analytics5 of 150Not among the top eight

Zoho Analytics5 of 150Not among the top eight

A head-to-head page exists where both products are among a category's top eight. 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, five of the fourteen in this edition, so these counts come from 14 of the 15 answers that named Amazon QuickSight and are not a share of its labels.

Domains cited

holistics.io10

luzmo.com8

zoho.com8

cube.dev7

embeddable.com7

omni.co7

peliqan.io7

draxlr.com6

querio.ai6

usedatabrain.com6

Seventy-two of the seventy-two domain citations in answers naming Amazon QuickSight came from somebody else's page.

Pages cited

holistics.io/blog/best-embedded-analytics-tools8

cube.dev/articles/best-embedded-analytics-platforms-20267

omni.co/articles/best-embedded-analytics-tools-20267

peliqan.io/blog/embedded-analytics-tools7

zoho.com/analytics/insightshq/top-embedded-analytics-tools.html7

draxlr.com/blogs/best-embedded-analytics-tools5

domo.com/learn/article/embedded-analytics-tools4

europeanbusinessreview.com/10-embedded-analytics-platforms-compared-by-total-cost4

Pages are listed as the models cited them.

Search and answers

Where Amazon QuickSight stands in Google search beside where it stands in the models' answers.

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In search

Google, US estimates

Searches for its name, Google: 2,900 a month (“amazon quicksight”)
AI search demand for its name, est.: 176 a month
Its own site: It sits on Amazon's site (amazon.com), so there are no site figures for it alone

In answers

This edition

Share of first choices

rank 35 of 72 in embedded analytics

Segment leader

22%

Metabase

First choices: 0 across its categories
Named in: 15 answers
Its own site cited: in 14 of the answers that named it

Search figures are US estimates from DataForSEO, read October 5, 2026; AI search demand is its modeled, directional estimate, not a count of queries to any assistant. The answers are this edition's. Two measurements side by side: neither is read as the cause of the other.

Follow Amazon QuickSight

An email the morning each edition publishes: where this product moved, where it held, and by how much against the noise floor. One address, confirmed by a click; a stop link in every email.

Already following? Everything you follow, with a stop for each.

The company

Amazon is the company behind Amazon QuickSight.

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On record

Company records

Also from Amazon: Amazon API Gateway, Amazon API Gateway HTTP APIs, Amazon AppStream 2.0, Amazon Athena, Amazon Athena Federated Query, Amazon Aurora, Amazon Aurora Serverless, Amazon Bedrock and 46 more

In its own words

Stated by the vendor, not checked

Positioning: AI-powered BI that transforms data into strategic insights for everyone through unified intelligence, actionable analytics, and democratized data access.
aws.amazon.com/quick/quicksight
For: for everyone
aws.amazon.com/quick/quicksight
Integrations claimed: 40 aws.amazon.com/quick/quicksight
Certifications: FedRAMPHIPAAPCI DSSISOSOC
Not stated on the pages read: Price, starting price, free plan or trial, hosting, customers

What Amazon QuickSight's own pages state, read October 5, 2026: aws.amazon.com/quick/quicksight, advertising.amazon.com/measurement-analytics, advertising.amazon.com/insights-and-planning, advertising.amazon.com/fr-fr/measurement-analytics, advertising.amazon.com/th-th/measurement-analytics. A claimed page can correct any of them.

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.

What a new claim receivesHide what a new claim receives

A new claim receives the current edition's vendor brief for Amazon QuickSight by email, built from the raw record of the edition. It shows:

where Amazon QuickSight is named, by buyer and by framing, and which cells hold its first choices;
the claims the models make when they name it, ranked, with the strongest and the weakest quoted;
its vocabulary against the segment leader's, and the pages the models cited;
who was chosen in the answers that did not name Amazon QuickSight, and every reason the record gives;
a battlecard for each top rival: the head-to-head split, why they win, and the reservation quoted against them;
one page of published figures cleared to show a buyer.