Every category where a model named MotherDuck 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	2%	5 of 41	0%	7	under 10 labels · led by Snowflake at 47%

Movement

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

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

Direct4 labelsNone

Paraphrase2 labelsNone

Comparative10 labels4not counted in share

Budget-constrained8 labels1

Scale-constrained2 labels1

Negative5 labels2not counted in share

First choiceAlternativeMentionNegative31 labels in all, every segment counted; 2 of the 8 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.

“If your data is under 1 Terabyte, choose MotherDuck. It is the most modern, low-overhead, and cost-predictable choice on the market.” Gemini 3.5 Flash · Data warehouses · budget prompt · first choice

“MotherDuck, which offers a modern cloud data warehouse alternative with a "scale-up" serverless architecture powered by DuckDB.” Llama 4 Maverick · Data warehouses · negative prompt · alternative

“a lightweight option like MotherDuck is also positioned as a strong fit for startups and lean teams” Perplexity Sonar · Data warehouses · 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.

No model argued against it.

Named alongside

The products named in the same answers as MotherDuck, over the 31 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and MotherDuck was named but was not.

ProductSame answerTook the first choice insteadHead to head

Google BigQuery31 of 3117Not in the top three

Snowflake29 of 311Not in the top three

Amazon Redshift28 of 311Not in the top three

ClickHouse Cloud18 of 311Not in the top three

Databricks9 of 310Not in the top three

Azure Synapse Analytics7 of 310Not in the top three

Databricks SQL6 of 310Not in the top three

Microsoft Fabric6 of 310Not in the top three

PostgreSQL6 of 310Not in the top three

Firebolt5 of 310Not 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 MotherDuck. 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 24 of the 31 answers that named MotherDuck and are not a share of its labels.

Domains cited

atlan.com16

clickhouse.com15

fortegrp.com14

motherduck.comYour site10

blog.dataddo.com9

checkthat.ai9

domo.com9

g2.com9

tinyctl.dev9

trustradius.com9

Ninety-nine of the 109 domain citations in answers naming MotherDuck came from somebody else's page.

Pages cited

atlan.com/best-cloud-data-warehouses16

fortegrp.com/insights/best-cloud-data-warehouse14

clickhouse.com/resources/engineering/top-5-cloud-data-warehouses13

clickhouse.com/blog/cloud-data-warehouses-cost-performance-comparison10

blog.dataddo.com/best-cloud-data-warehouse-solutions-and-how-to-choose-the-right-one9

domo.com/learn/article/best-data-warehouse-platforms9

g2.com/categories/data-warehouse/small-business9

motherduck.com/learn/cloud-data-warehouse-startup-guide9

Pages are listed as the models cited them.

Names read as MotherDuck

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

Firebolt/MotherDuck 1MotherDuck (Serverless DuckDB) 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 MotherDuck'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 MotherDuck, 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 motherduck.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.