Every category where a model named Google Colab 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	4%	11 of 99	14%	7	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 Google Colab 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 Google Colab 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	0	0	0	0	0
GPT-5.4 mini	0	0	0	0	0
Gemini 3.5 Flash	0	0	0	0	0
Perplexity Sonar	1	0	0	0	1
Grok 4.1 Fast	1	0	0	0	1
Mistral Small	0	0	0	0	0
DeepSeek V4 Flash	0	1	0	0	1
Llama 4 Maverick	0	0	0	0	0
Qwen 3.7 Flash	0	1	1	1	3
Kimi K2	0	0	0	0	0
GLM 4.7 FlashX	0	1	0	0	1
MiniMax M2.5	0	0	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

Paraphrase0 labelsNone

Comparative2 labels1not counted in share

Budget-constrained14 labels9

Scale-constrained0 labelsNone

Negative2 labelsNone

First choiceAlternativeMentionNegative19 labels in all, every segment counted; 9 of the 10 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.

“Google Colab (free tier) or Kaggle Notebooks are typically the best starting points for companies with limited budgets.” Grok 4.1 Fast · ML platforms · budget prompt · first choice

“Google Colab is the most practical budget option because it has a free tier” Perplexity Sonar · ML platforms · budget prompt · first choice

“Start with Google Colab (free) for experimentation, then graduate to Vertex AI for production.” DeepSeek V4 Flash · ML platforms · budget prompt · alternative

“Google Colab (Pro is paid, Free tier exists) or Kaggle Notebooks” Qwen 3.7 Flash · 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.

“(like DagsHub or basic Colab setups) require data to leave your local network; if you are in healthcare or finance, these might be non-starters” Qwen 3.7 Flash · ML platforms · negative prompt · soft negative

Named alongside

The products named in the same answers as Google Colab, over the 19 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Google Colab was named but was not.

ProductSame answerTook the first choice insteadHead to head

Azure Machine Learning13 of 190Not in the top three

Google Vertex AI12 of 192Not in the top three

Kaggle11 of 190Not in the top three

Amazon SageMaker10 of 190Not in the top three

KNIME8 of 191Not in the top three

MLflow8 of 190Not in the top three

Hugging Face7 of 192Not in the top three

KNIME Analytics Platform5 of 193Not in the top three

Databricks5 of 190Not in the top three

RapidMiner4 of 191Not 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 Google Colab. 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 16 of the 19 answers that named Google Colab and are not a share of its labels.

Domains cited

g2.com14

godofprompt.ai10

softwr.com9

startupstash.com7

devopsschool.com6

reddit.com5

aimultiple.com4

alphasoftware.com4

learn.g2.com4

spotsaas.com4

Sixty-seven of the sixty-seven domain citations in answers naming Google Colab came from somebody else's page.

Pages cited

g2.com/discussions/what-is-the-most-cost-efficient-machine-learning-platform13

godofprompt.ai/blog/machine-learning-platforms-for-small-businesses10

softwr.com/best/machine-learning-for-small-businesses9

startupstash.com/best-low-code-machine-learning-platforms7

devopsschool.com/blog/top-10-machine-learning-platforms-tools-in-2025-features-pros-cons-c5

aimultiple.com/open-source-ai-platforms4

alphasoftware.com/blog/best-low-code-tools-for-machine-learning-prices-features-compared4

spotsaas.com/list/data-science-and-machine-learning-platforms/for-small-business4

Pages are listed as the models cited them.

Names read as Google Colab

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

Colab 1Kaggle / Colab 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 Google Colab'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 Google Colab, 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 google.dev 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.