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
Data warehouses	Data platform	47%	1 of 41	28%	65	criticized default
ETL and ELT	Data platform	0%	22 of 66	0%	3	under 10 labels · led by Airbyte at 32%
ML platforms	Data platform	0%	28 of 99	0%	3	under 10 labels · led by Azure Machine Learning at 17%

Movement

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

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

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

Direct36 labels21

Paraphrase42 labels21

Comparative38 labels18not counted in share

Budget-constrained30 labels4

Scale-constrained30 labels9

Negative33 labels1not counted in share

First choiceAlternativeMentionNegative209 labels in all, every segment counted; 55 of the 74 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 is a popular choice among mid-sized companies due to its near-zero maintenance, ecosystem maturity, and marketplace integrations.” Llama 4 Maverick · Data warehouses · direct prompt · first choice

“For most mid-sized B2B companies, Snowflake is the top recommendation due to its ease of use, scalability, and strong ecosystem.” Mistral Small · Data warehouses · paraphrase prompt · first choice

“Snowflake is the most common "best default" because it tends to balance ease of use, governance, performance, and ecosystem fit” GPT-5.4 mini · Data warehouses · direct prompt · first choice

“Snowflake is often the best choice for mid-market B2B companies with 20-100 engineers and diverse data workloads.” Mistral Small · Data warehouses · 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 for tight budgets” DeepSeek V4 Flash · Data warehouses · budget prompt · hard negative

“Snowflake is also powerful, but you should watch warehouse usage, autosuspend/autoresume settings, cloud-services charges, and serverless features” GPT-5.4 mini · Data warehouses · negative prompt · soft negative

“Traditional cloud data warehouses like Snowflake and BigQuery, which may not be suitable for operational workloads or real-time analytics.” Llama 4 Maverick · Data warehouses · negative prompt · soft negative

“Budget Warning: ... many new users underestimate their compute bills ... you must actively monitor usage to avoid surprise invoices.” Qwen 3.7 Flash · Data warehouses · budget prompt · soft negative

Named alongside

The products named in the same answers as Snowflake, over the 209 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.

ProductSame answerTook the first choice insteadHead to head

Google BigQuery198 of 20955Compare →

Amazon Redshift184 of 2094Not in the top three

Databricks95 of 2090Not in the top three

Azure Synapse Analytics62 of 2090Not in the top three

ClickHouse Cloud49 of 2090Compare →

Microsoft Fabric38 of 2090Not in the top three

Databricks SQL31 of 2090Not in the top three

MotherDuck29 of 2098Not in the top three

Firebolt18 of 2090Not in the top three

PostgreSQL12 of 2091Not 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 Snowflake. 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 159 of the 209 answers that named Snowflake and are not a share of its labels.

Domains cited

clickhouse.com70

atlan.com67

fortegrp.com55

domo.com50

scnsoft.com41

g2.com40

motherduck.com38

blog.dataddo.com34

valiotti.com33

tech-insider.org29

457 of the 457 domain citations in answers naming Snowflake came from somebody else's page.

Pages cited

atlan.com/best-cloud-data-warehouses61

clickhouse.com/resources/engineering/top-5-cloud-data-warehouses57

fortegrp.com/insights/best-cloud-data-warehouse55

domo.com/learn/article/best-data-warehouse-platforms49

scnsoft.com/data/data-warehouse/cloud37

blog.dataddo.com/best-cloud-data-warehouse-solutions-and-how-to-choose-the-right-one34

clickhouse.com/blog/cloud-data-warehouses-cost-performance-comparison33

g2.com/categories/data-warehouse/small-business30

Pages are listed as the models cited them.

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 (Cortex & Snowpark) 1Snowflake (Snowpark / Cortex) 1

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.

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 snowflake.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.