Every category where a model named Databricks Mosaic 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	6%	6 of 99	0%	10	accepted challenger

Movement

This is the first edition on this tier, so no move can be computed for Databricks Mosaic 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 Databricks Mosaic AI 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	1	0	0	1
GPT-5.4 mini	0	0	0	0
Gemini 3.5 Flash	1	0	0	1
Perplexity Sonar	1	1	0	2
Grok 4.1 Fast	0	1	0	1
Mistral Small	0	1	0	1
DeepSeek V4 Flash	0	0	1	1
Llama 4 Maverick	0	0	0	0
Qwen 3.7 Flash	0	0	0	0
Kimi K2	0	1	1	2
GLM 4.7 FlashX	0	0	0	0
MiniMax M2.5	0	1	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

Direct8 labels1

Paraphrase4 labels4

Comparative3 labelsNone

Budget-constrained0 labelsNone

Scale-constrained3 labels1

Negative0 labelsNone

First choiceAlternativeMentionNegative18 labels in all, every segment counted; 6 of the 6 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 one recommendation without more context, I'd pick Databricks Mosaic AI for a mid-sized B2B company” Perplexity Sonar · ML platforms · paraphrase prompt · first choice

“If you want a unified enterprise data + ML platform: Look at Databricks or your native cloud provider” Gemini 3.5 Flash · ML platforms · scale prompt · first choice

“choose Databricks if you're building modern compound AI systems” Claude Haiku 4.5 · ML platforms · paraphrase prompt · first choice

“the strongest default choice in the results is Databricks Mosaic AI Platform if your team is data-engineering-led” Perplexity Sonar · ML platforms · direct 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 Databricks Mosaic AI, over the 18 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Databricks Mosaic AI was named but was not.

ProductSame answerTook the first choice insteadHead to head

Amazon SageMaker15 of 183Not in the top three

Google Vertex AI15 of 182Not in the top three

Azure Machine Learning14 of 185Not in the top three

Dataiku12 of 181Not in the top three

DataRobot9 of 180Not in the top three

MLflow6 of 181Not in the top three

H2O.ai6 of 180Not in the top three

Kubeflow4 of 180Not in the top three

Snowflake Cortex AI4 of 180Not in the top three

KNIME3 of 180Not 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 Databricks Mosaic 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 17 of the 18 answers that named Databricks Mosaic AI and are not a share of its labels.

Domains cited

g2.com11

learn.g2.com11

checkthat.ai9

guptadeepak.com8

trustradius.com7

guideflow.com6

tinyctl.dev6

techvendorindex.com5

valohai.com5

articsledge.com4

Seventy-two of the seventy-two domain citations in answers naming Databricks Mosaic AI came from somebody else's page.

Pages cited

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

guptadeepak.com/tools/top-10-mlops-platforms-20268

learn.g2.com/best-machine-learning-tools7

tinyctl.dev/roundups/machine-learning-platforms6

techvendorindex.com/compare/best-ai-ml-for-mid-market5

trustradius.com/machine-learning5

checkthat.ai/answers/what-are-the-best-ai-ml-platforms4

checkthat.ai/answers/what-are-the-best-machine-learning-platforms4

Pages are listed as the models cited them.

Names read as Databricks Mosaic AI

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

Databricks Mosaic AI Platform 2

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 Databricks Mosaic 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 Databricks Mosaic 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 databricks.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.