Every category where a model named Snowflake 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
Data warehouse and reverse ETL for marketing	GTM data and infrastructure	21%	3 of 83	10%	70	accepted challenger	▲+1Since September 2026: 20% → 21%, +1 point. Inside the 11-point floor: within noise. Read over the models both editions asked.
Data management platforms	GTM data and infrastructure	0%	20 of 159	11%	19	accepted challenger	▼−2Since September 2026: 2% → 0%, −2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
Customer intelligence and data science	GTM data and infrastructure	0%	75 of 142	0%	1	under 10 labels · led by Amplitude at 18%	=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.

Movement

Since September 2026, Snowflake held within the floor in all three categories: no change cleared 11 points.

Best category · Warehouse & ETL · by segment

Small business▲+5Since September 2026: 4% → 8%, +5 points. Inside the 11-point floor: within noise. Read over the models both editions asked.

8%from 4% in September 2026

Inside the floor by 6 pointsRank 4 → 3 of 92

Mid-market▲+1Since September 2026: 20% → 21%, +1 point. Inside the 11-point floor: within noise. Read over the models both editions asked.

21%from 20% in September 2026

Inside the floor by 10 pointsRank 3 of 81, unchanged

Enterprise▲+1Since September 2026: 30% → 30%, +1 point. Inside the 11-point floor: within noise. Read over the models both editions asked.

30%from 30% in September 2026

Inside the floor by 10 pointsRank 2 of 79, unchanged

All categories · Mid-market

Category	September 2026	Now	Change	Reading	Rank
DMP	2%	0%	▼−2Since September 2026: 2% → 0%, −2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.	Within noise	Rank 12 → 20 of 159
Warehouse & ETL	20%	21%	▲+1Since September 2026: 20% → 21%, +1 point. Inside the 11-point floor: within noise. Read over the models both editions asked.	Within noise	Rank 3 of 83, unchanged
Customer intel	0%	0%	=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.	Within noise	Rank 137 → 75 of 142

Shares here are read over the models both editions asked, so they can differ by a point or two from the standing above, which counts every model in this edition.

The floor is 11 points of share, measured: how far the models move a leader on their own when the same questions are asked twice with nothing changed. A larger change is movement; a smaller one is noise, and both are shown. Movement is read over the twelve models both editions asked; GPT-6 Luna, Muse Glimmer 30B joined this edition and are in the standing but not yet in the comparison. How the floor is measured · The editions

By model

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

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Model	First choice	Alternative	Mention	Negative	Labels
Claude Haiku 4.5	0	3	1	0	4
GPT-5.4 mini	3	2	2	0	7
Gemini 3.5 Flash	3	3	1	0	7
Perplexity Sonar	2	1	2	1	6
Grok 4.1 Fast	2	3	1	3	9
Mistral Small	3	1	1	0	5
DeepSeek V4 Flash	2	4	0	2	8
Llama 4 Maverick	0	1	1	0	2
Qwen 3.7 Flash	3	4	0	1	8
Kimi K2	4	1	2	0	7
GLM 4.7 FlashX	5	1	1	0	7
MiniMax M2.5	3	2	1	1	7
GPT-6 Luna	1	1	4	0	6
Muse Glimmer 30B	3	1	2	1	7

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

Direct40 labels21

Paraphrase43 labels13

Comparative70 labels28not counted in share

Budget-constrained32 labels6

Scale-constrained36 labels18

Negative51 labels7not counted in share

First choiceAlternativeMentionNegative272 labels in all, every segment counted; 58 of the 93 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.

“Snowflake + dbt Cloud + Hightouch is the most generally "best" marketing data warehouse + reverse ETL stack for a mid-market B2B company.” GPT-5.4 mini · Warehouse & ETL · direct prompt · first choice

“Snowflake is ideal for mid-sized B2B companies offering scalability, cross-cloud flexibility, and strong marketing platform integrations” MiniMax M2.5 · Warehouse & ETL · paraphrase prompt · first choice

“Snowflake is the most popular for mid-market B2B companies due to its ease of use, strong performance, and excellent integrations.” Mistral Small · Warehouse & ETL · paraphrase prompt · first choice

“Mid-market B2B with HubSpot/Salesforce CRM, ad platforms and a lean data team usually lands on Snowflake for long term governance” Muse Glimmer 30B · Warehouse & ETL · direct prompt · first choice

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 Snowflake and enterprise ETL tools” DeepSeek V4 Flash · Warehouse & ETL · budget prompt · hard negative

“like Snowflake, Amazon Redshift, or Oracle Database if your team is small, your data volume is modest... cost and management complexity can outweigh the benefits” Perplexity Sonar · DMP · negative prompt · soft negative

“General Purpose Warehouses: (e.g., Snowflake via partner templates) — More control, harder setup, higher engineering overhead.” Qwen 3.7 Flash · Warehouse & ETL · scale prompt · soft negative

“Snowflake lacks a permanent free tier (only 30-day trial), making it less ideal for long-term budget use.” MiniMax M2.5 · Warehouse & ETL · budget prompt · soft negative

Named alongside

The products named in the same answers as Snowflake, over the 272 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Snowflake was named but was not.

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ProductSame answerTook the first choice insteadHead to head

BigQuery235 of 27258Compare →

Hightouch204 of 27282Compare →

Census179 of 27211Compare →

Fivetran141 of 2720Not among the top eight

Amazon Redshift133 of 2722Not among the top eight

dbt95 of 2721Not among the top eight

Databricks SQL Warehouse84 of 2721Not among the top eight

Airbyte81 of 2721Compare →

RudderStack Reverse ETL80 of 2724Compare →

Segment56 of 2722Not 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 Snowflake. 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 247 of the 272 answers that named Snowflake and are not a share of its labels.

Domains cited

improvado.io160

guideflow.com98

hightouch.com97

leadjourney.io67

airbyte.com59

cdp.com59

supermetrics.com57

aboutmartech.com55

portermetrics.com54

funnel.io52

758 of the 758 domain citations in answers naming Snowflake came from somebody else's page.

Pages cited

improvado.io/blog/best-reverse-etl-tools91

guideflow.com/blog/reverse-etl-tools90

leadjourney.io/blog/best-marketing-data-warehouse67

supermetrics.com/blog/marketing-data-warehousing52

airbyte.com/top-etl-tools-for-sources/reverse-etl-tools51

zoho.com/dataprep/top-reverse-etl-tools.html48

aboutmartech.com/blog/reverse-etl-tools47

portermetrics.com/en/compare/7-best-marketing-data-warehouse-reporting-and-dashobards-tool41

Pages are listed as the models cited them.

Search and answers

snowflake.com is not in Google's top ten for any of the category's searches. In the answers, Snowflake takes 21% of first choices and Hightouch takes 40%.

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In search

Google, US estimates

Position for “marketing data warehouse and reverse etl stack”

–

not in the top ten

Position for “best marketing data warehouse and reverse etl stack”

–

not in the top ten

Searches for its name, Google: 368,000 a month (“snowflake”)
AI search demand for its name, est.: 37,077 a month
Organic visits to its site: about 718,749 a month
Searches its site ranks for: 40,654 · 5,633 in the top three
Sites linking to it: 27,971
Paid Google search: 1 searches its ads show for, about 2 clicks and $0 a month (estimate)

Ads on GoogleDetailLess

118+ ads · 94 text, 21 image, 3 video · 118 shown in the last 30 days

First shown January 2022, as Snowflake Inc., verified. Ads started 2025-10 to 2026-09: 60 in the year, 58 before. 2 more by other advertisers linking to it.

On Google's pages: 1 2 3 4

In answers

This edition

Share of first choices

21%

rank 3 of 83 in Warehouse & ETL

Segment leader

40%

Hightouch

First choices: 58 across its categories
Named in: 272 answers
Its own site cited: in 247 of the answers that named it

Search figures are US estimates from DataForSEO, read September 28, 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.

What it publishes

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Addresses on snowflake.com

11,795

subdomains included

Content

4,358

counted in the table below

Documentation

146

Product · Integration

145 · 1,508

Kind	Pages	Last 90 days	Latest
Blog	1,589	7	2026-09-28
Report or ebook	900	undated
Webinar or virtual event	633	1	2026-09-11
Case study	386	undated
Podcast or video	315	undated
News or press	242	undated
Conference or event	139	9	2026-10-27
Glossary or explainer	131	0	2026-04-02
Comparison	18	1	2026-09-03
Template or tool	5	0	2025-12-09

Most recent

2026-10-27Rotterdam conference or event
2026-10-15New York City conference or event
2026-09-30London conference or event
2026-09-29Toronto conference or event
2026-09-29Berlin conference or event
2026-09-28Scaling mission ai lessons public sector blog

Events in person

Upcoming

October 22, 2026Snowflake Forum MadridKinépolis (Pozuelo), Madrid, Spain · hosts
November 5, 2026Snowflake Forum ZurichThe Circle Convention Center Zurich Airport, Zürich, Switzerland · hosts

As the event pages on snowflake.com state them, read September 28, 2026.

How it is countedHide how it is counted

Every page snowflake.com exposes, subdomains included. Kind is read from the address and title. The last 90 days, the latest date and the twelve months count pages by when they were published, from the site's feeds, a date in the address, or the page's own publication date, read from up to a hundred of its most recently changed pages; a page that says only when it last changed is counted in its kind but not in when, so the recent counts are a floor, and a kind none of whose pages gives a publication date reads undated. An event counts as online when its address or title says so (webinar, on demand, virtual or online summit); a conference, summit, trade show, expo or roadshow that does not say so is counted as a conference or event, which on a vendor's site is mostly in person. Read September 29, 2026.

Names read as Snowflake

What the judge wrote, as written, with how often. The vendor table decides that these count as Snowflake; a claim can dispute any of them.

Snowflake Data Cloud 1

Follow Snowflake

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

Snowflake Inc. is the company behind Snowflake.

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On record

Wikidata

Website: snowflake.com
Headquarters: San Mateo, United States
Founded: 2012
Employees: about 1,400 (2019)
Ownership: Public, SNOW on New York Stock Exchange

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

In its own words

Stated by the vendor, not checked

Positioning: The Snowflake AI Data Cloud - Mobilize Data, Apps, and AI
snowflake.com
For: organizations
snowflake.com
Price stated: Discover Snowflake pricing editions tailored to your security and compliance needs. Discover how you only pay for the storage and compute resources you use. snowflake.com/pricing
Free plan or trial: start for free snowflake.com
Customers named: Under ArmourNovo NordiskUnited RentalsBooking.comFanaticsAT&TCanvaPenske
Not stated on the pages read: Starting price, integrations, certifications, hosting

What Snowflake's own pages state, read September 28, 2026: snowflake.com, snowflake.com/pricing, trust.snowflake.com, snowflake.com/en/product, snowflake.com/en/customers. 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 Snowflake'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 Snowflake, 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 Snowflake by email, built from the raw record of the edition. It shows:

where Snowflake 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 Snowflake, 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.

Badges

Wins only: a badge exists where Snowflake is ranked in a category's top three this edition. Three sizes, one file each, light and dark; the code is under each.

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Snowflake is among the products AI models recommend first in Data warehouse and reverse ETL for marketing this edition. Each badge says so in the buyer's words, names the edition, and links to the standing. The next edition issues a new badge; this one stays true as a record of October 2026.

Wide · 320 × 104 Website, beside other badges

Show the code

<a href="https://gtm-ai-index.com/gtm-data/data-warehouse-reverse-etl/"><img src="https://gtm-ai-index.com/badges/2026-10/snowflake--data-warehouse-reverse-etl-wide.svg" alt="Among AI models' top three in Data warehouse and reverse ETL for marketing, October 2026 Edition, GTM AI Recommendation Index" width="320" height="104"></a>

Copy the code as it is. The link is part of the badge: it points at the Data warehouse and reverse ETL for marketing standing, where the claim can be checked.

Square · 240 × 240 LinkedIn, slides

Show the code

<a href="https://gtm-ai-index.com/gtm-data/data-warehouse-reverse-etl/"><img src="https://gtm-ai-index.com/badges/2026-10/snowflake--data-warehouse-reverse-etl-square.svg" alt="Among AI models' top three in Data warehouse and reverse ETL for marketing, October 2026 Edition, GTM AI Recommendation Index" width="240" height="240"></a>

Copy the code as it is. The link is part of the badge: it points at the Data warehouse and reverse ETL for marketing standing, where the claim can be checked.

Compact · 200 × 56 Email signature, footer

Show the code

<a href="https://gtm-ai-index.com/gtm-data/data-warehouse-reverse-etl/"><img src="https://gtm-ai-index.com/badges/2026-10/snowflake--data-warehouse-reverse-etl-compact.svg" alt="Among AI models' top three in Data warehouse and reverse ETL for marketing, October 2026 Edition, GTM AI Recommendation Index" width="200" height="56"></a>

Copy the code as it is. The link is part of the badge: it points at the Data warehouse and reverse ETL for marketing standing, where the claim can be checked.

Badges read on light and dark pages. Alt text carries the claim, the category, the edition and the index, so it stays a citation where the image does not load.