Every category where a model named KNIME 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	6%	7 of 99	0%	6	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 KNIME 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 KNIME 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	0	0	0	0
Perplexity Sonar	1	0	0	1
Grok 4.1 Fast	0	0	0	0
Mistral Small	1	0	0	1
DeepSeek V4 Flash	0	1	0	1
Llama 4 Maverick	1	0	0	1
Qwen 3.7 Flash	0	0	0	0
Kimi K2	0	0	0	0
GLM 4.7 FlashX	0	1	0	1
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

Paraphrase0 labelsNone

Comparative8 labelsNone

Budget-constrained8 labels3

Scale-constrained3 labelsNone

Negative5 labels2not counted in share

First choiceAlternativeMentionNegative28 labels in all, every segment counted; 3 of the 5 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.

“start with Kaggle Notebooks (free) or KNIME (open-source) if you need more advanced features” Mistral Small · ML platforms · budget prompt · first choice

“the best overall choice is usually KNIME if you want a free, low-code desktop platform” Perplexity Sonar · ML platforms · budget prompt · first choice

“likely to be one that offers a free or low-cost option, such as KNIME or TensorFlow” Llama 4 Maverick · ML platforms · budget prompt · first choice

“Consider KNIME Cloud or a free tier of Azure ML/Vertex AI if you want a managed experience.” GLM 4.7 FlashX · ML platforms · 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 KNIME, over the 28 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and KNIME was named but was not.

ProductSame answerTook the first choice insteadHead to head

Google Vertex AI20 of 286Not in the top three

Azure Machine Learning18 of 285Not in the top three

Amazon SageMaker17 of 283Not in the top three

DataRobot15 of 281Not in the top three

H2O.ai13 of 280Not in the top three

BigML9 of 281Not in the top three

Google Colab8 of 284Not in the top three

Kaggle8 of 282Not in the top three

MLflow8 of 282Not in the top three

Databricks8 of 281Not 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 KNIME. 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 27 of the 28 answers that named KNIME and are not a share of its labels.

Domains cited

g2.com21

tinyctl.dev13

startupstash.com12

godofprompt.ai11

softwr.com10

checkthat.ai9

dagshub.com9

thirstysprout.com9

reddit.com8

articsledge.com7

109 of the 109 domain citations in answers naming KNIME came from somebody else's page.

Pages cited

tinyctl.dev/roundups/machine-learning-platforms13

startupstash.com/best-low-code-machine-learning-platforms12

godofprompt.ai/blog/machine-learning-platforms-for-small-businesses11

softwr.com/best/machine-learning-for-small-businesses10

dagshub.com/blog/top-deep-learning-platforms9

g2.com/categories/mlops-platforms/small-business9

g2.com/discussions/what-is-the-most-cost-efficient-machine-learning-platform9

thirstysprout.com/post/best-machine-learning-platforms9

Pages are listed as the models cited them.

Names read as KNIME

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

KNIME Cloud 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 KNIME'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 KNIME, 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 knime.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.