GTM AI Index

Index › Vendors › Google Cloud-native stacks · September 2026 Edition

1 category · Named, not ranked

Google Cloud-native stacks

1Judge labels

0First choices

1Negative labels

1 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

1 label, too few to rank

A product needs 10 labels in a category before a share or quadrant is stated. Google Cloud-native stacks was named 1 time in DMP, where Segment led with 18%. The labels and the evidence are below, counted exactly.

By buyer segmentRead the same way at every buyer size.

Small businessnot named

No model named it for this buyer.

Mid-market150 of 183

under the label threshold

Enterprisenot named

No model named it for this buyer.

In dmp · 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 Google Cloud-native stacks 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
Data management platforms	GTM data and infrastructure	0%	150 of 183	100%	1	under 10 labels · led by Segment at 18%

Movement

This is the first edition on this tier, so no move can be computed for Google Cloud-native stacks 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 Google Cloud-native stacks across every prompt where it was named for a mid-market B2B company. Twelve models, six prompts per category.

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

Direct0 labelsNone

Paraphrase0 labelsNone

Comparative0 labelsNone

Budget-constrained0 labelsNone

Scale-constrained0 labelsNone

Negative1 labelNone

First choiceAlternativeMentionNegative1 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.

No positive label carried a quote.

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.

“have thinner hybrid support, so they are less ideal for mixed on-prem/cloud environments” Perplexity Sonar · DMP · negative prompt · soft negative

Named alongside

The products named in the same answers as Google Cloud-native stacks, over the 1 answer that named it. Took the first choice instead counts the answers where the other product was the first choice and Google Cloud-native stacks was named but was not.

ProductSame answerTook the first choice insteadHead to head

AWS-native stacks1 of 10Not in the top three

Azure-native stacks1 of 10Not in the top three

Cassandra1 of 10Not in the top three

Databricks1 of 10Not in the top three

Informatica IDMC1 of 10Not in the top three

ScyllaDB1 of 10Not in the top three

Snowflake1 of 10Not 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 Google Cloud-native stacks. 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 1 answers that named Google Cloud-native stacks and are not a share of its labels.

Domains cited

affroom.com1

amplitude.com1

domo.com1

estuary.dev1

gartner.com1

improvado.io1

linkedin.com1

matillion.com1

omr.com1

oro.open.ac.uk1

Ten of the ten domain citations in answers naming Google Cloud-native stacks came from somebody else's page.

Pages cited

affroom.com/blog/best-data-management-platforms1

amplitude.com/compare/best-customer-data-platforms1

domo.com/learn/article/best-data-management-platforms1

estuary.dev/blog/data-management-tools1

gartner.com/reviews/market/data-management-platforms1

improvado.io/blog/data-governance-tools1

improvado.io/blog/enterprise-data-management-tools1

improvado.io/blog/top-25-best-database-management-software1

Pages are listed as the models cited them.

The company

Google Search is the company behind Google Cloud-native stacks.

Website: google.com
Headquarters: United States
Founded: 1997

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

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 Google Cloud-native stacks'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 Google Cloud-native stacks, 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 google.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.