Every category where a model named Domino Data Lab 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
ML platforms	Data platform	0%	25 of 99	0%	4	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 Domino Data Lab 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 Domino Data Lab across every prompt where it was named for a mid-market B2B company. Twelve models, six prompts per category.

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

Paraphrase8 labelsNone

Comparative5 labelsNone

Budget-constrained5 labels3

Scale-constrained4 labelsNone

Negative4 labelsNone

First choiceAlternativeMentionNegative27 labels in all, every segment counted; 3 of the 3 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.

“you generally want platforms with strong auditability and on-premise options (e.g., Domino Data Lab, H2O.ai)” DeepSeek V4 Flash · ML platforms · negative prompt · alternative

“The User-Experience Leader: Domino Data Lab” Qwen 3.7 Flash · ML platforms · paraphrase 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 Domino Data Lab, over the 27 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Domino Data Lab was named but was not.

ProductSame answerTook the first choice insteadHead to head

Amazon SageMaker26 of 273Not in the top three

Google Vertex AI23 of 271Not in the top three

Databricks20 of 274Not in the top three

DataRobot20 of 270Not in the top three

Azure Machine Learning19 of 270Not in the top three

H2O.ai15 of 270Not in the top three

Dataiku14 of 271Not in the top three

MLflow11 of 272Not in the top three

Kubeflow5 of 271Not in the top three

KNIME3 of 270Not 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 Domino Data Lab. 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 22 of the 27 answers that named Domino Data Lab and are not a share of its labels.

Domains cited

g2.com13

dataiku.com10

artificialintelligencecompanies.com9

checkthat.ai9

thirstysprout.com7

aiadvisorypractice.com6

learn.g2.com6

linkedin.com6

ciopages.com5

techtarget.com5

Seventy-six of the seventy-six domain citations in answers naming Domino Data Lab came from somebody else's page.

Pages cited

artificialintelligencecompanies.com/best/machine-learning-platforms9

checkthat.ai/answers/what-are-the-best-ai-ml-platforms7

dataiku.com/blog/enterprise-machine-learning-platforms-how-to-choose7

thirstysprout.com/post/best-machine-learning-platforms7

g2.com/categories/mlops-platforms/small-business4

guptadeepak.com/tools/top-10-mlops-platforms-20264

learn.g2.com/best-data-science-ml-platforms4

linkedin.com/pulse/analyzing-2024-gartner-magic-quadrant-data-science-machine-learning-1uo4

Pages are listed as the models cited them.

Names read as Domino Data Lab

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

Domino 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 Domino Data Lab'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 Domino Data Lab, 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 domino.ai 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.