Every category where a model named H2O.ai 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%	20 of 99	13%	15	accepted challenger

Movement

This is the first edition on this tier, so no move can be computed for H2O.ai 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 H2O.ai across every prompt where it was named for a mid-market B2B company. Twelve models, six prompts per category.

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

Direct10 labels1

Paraphrase2 labelsNone

Comparative19 labelsNone

Budget-constrained6 labels1

Scale-constrained5 labelsNone

Negative4 labelsNone

First choiceAlternativeMentionNegative46 labels in all, every segment counted; 2 of the 2 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 you want open-source flexibility: H2O.ai, MLflow, and Kubeflow give you control and self-hosting options.” GLM 4.7 FlashX · ML platforms · comparative prompt · alternative

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

“Choose H2O.ai if you want open-source flexibility with enterprise capabilities.” Perplexity Sonar · ML platforms · comparative prompt · alternative

“If you want fast AutoML for tabular problems: H2O.ai” GPT-5.4 mini · ML platforms · comparative 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.

“it may not be a great fit for specialized model development and can get expensive at enterprise tier” Perplexity Sonar · ML platforms · negative prompt · soft negative

“Open-source like H2O.ai for cost-sensitive (free core, but needs expertise)” Grok 4.1 Fast · ML platforms · direct prompt · soft negative

Named alongside

The products named in the same answers as H2O.ai, over the 46 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and H2O.ai was named but was not.

ProductSame answerTook the first choice insteadHead to head

Amazon SageMaker42 of 467Not in the top three

Google Vertex AI42 of 466Not in the top three

Azure Machine Learning39 of 467Not in the top three

DataRobot34 of 460Not in the top three

Databricks27 of 462Not in the top three

Dataiku24 of 460Not in the top three

MLflow15 of 462Not in the top three

Domino Data Lab15 of 461Not in the top three

KNIME13 of 460Not in the top three

Kubeflow8 of 460Not 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 H2O.ai. 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 43 of the 46 answers that named H2O.ai and are not a share of its labels.

Domains cited

g2.com22

checkthat.ai19

learn.g2.com15

thirstysprout.com15

articsledge.com13

tinyctl.dev13

linkedin.com10

softwr.com10

unite.ai10

artificialintelligencecompanies.com9

136 of the 136 domain citations in answers naming H2O.ai came from somebody else's page.

Pages cited

thirstysprout.com/post/best-machine-learning-platforms15

tinyctl.dev/roundups/machine-learning-platforms13

articsledge.com/post/machine-learning-platforms-comparison-azure-ai-vs-aws-sagemaker-vs-go12

checkthat.ai/answers/what-are-the-best-machine-learning-platforms12

checkthat.ai/answers/what-are-the-best-ai-ml-platforms10

artificialintelligencecompanies.com/best/machine-learning-platforms9

godofprompt.ai/blog/machine-learning-platforms-for-small-businesses9

learn.g2.com/best-data-science-ml-platforms9

Pages are listed as the models cited 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 H2O.ai'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 H2O.ai, 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 h2oai.co 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.