IT AI Index
Index Vendors › Dataiku · September 2026 Edition
1 category · Ranked

Dataiku

52Judge labels
7First choices
3Negative labels
12 of 12Models named it
1Category
September 2026 Edition. Every number here is derived from the raw labels under vendor table vv2026-09.2, every buyer segment counted.
Best standing
7% in ML platforms for enterprise buyers
Rank 5 of 99 in the mid-market standingaccepted challenger
3 of 12 models made it the first choice on the direct prompt; 0% of its 15 labels there were negative.
By buyer segmentRead the same way at every buyer size.
In ml platforms · each standing computed within its segment · bars are 0 to 100 · the accent bar is the product's own best reading

Standing by category

Every category where a model named Dataiku 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.
CategoryFunctionShareRankNegative rateLabelsQuadrant
ML platformsData platform6%5 of 990%15accepted challenger

Movement

This is the first edition on this tier, so no move can be computed for Dataiku 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 Dataiku across every prompt where it was named for a mid-market B2B company. Twelve models, six prompts per category.
ModelFirst choiceAlternativeMentionNegativeLabels
Claude Haiku 4.500101
GPT-5.4 mini00000
Gemini 3.5 Flash11002
Perplexity Sonar01102
Grok 4.1 Fast01102
Mistral Small01102
DeepSeek V4 Flash01001
Llama 4 Maverick00000
Qwen 3.7 Flash00101
Kimi K210102
GLM 4.7 FlashX10001
MiniMax M2.501001

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
Direct15 labels3
Paraphrase6 labels1
Comparative18 labelsNone
Budget-constrained5 labels3
Scale-constrained6 labelsNone
Negative2 labelsNone
First choiceAlternativeMentionNegative52 labels in all, every segment counted; 7 of the 7 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.

“Dataiku is often the top choice for mid-market B2B companies” Kimi K2 · ML platforms · direct prompt · first choice
“Dataiku is widely considered the leader in this space” GLM 4.7 FlashX · ML platforms · direct prompt · first choice
“The Best Overall Platform: Dataiku” Gemini 3.5 Flash · ML platforms · direct prompt · first choice
“Best For: Organizations looking to democratize machine learning across both highly technical data scientists and non-technical business analysts.” Gemini 3.5 Flash · 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.

No model argued against it.

Named alongside

The products named in the same answers as Dataiku, over the 52 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Dataiku was named but was not.
ProductSame answerTook the first choice insteadHead to head
Amazon SageMaker50 of 527Not in the top three
Google Vertex AI47 of 526Not in the top three
Azure Machine Learning44 of 528Not in the top three
Databricks32 of 525Not in the top three
DataRobot32 of 521Not in the top three
H2O.ai24 of 520Not in the top three
Domino Data Lab14 of 522Not in the top three
Databricks Mosaic AI12 of 522Not in the top three
MLflow11 of 523Not in the top three
Kubeflow8 of 521Not 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 Dataiku. 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 45 of the 52 answers that named Dataiku and are not a share of its labels.

Domains cited

checkthat.ai24
g2.com23
learn.g2.com21
dataiku.comYour site14
tinyctl.dev13
aiadvisorypractice.com11
guptadeepak.com11
artificialintelligencecompanies.com10
thirstysprout.com10
truefoundry.com10

133 of the 147 domain citations in answers naming Dataiku came from somebody else's page.

Pages cited

Pages are listed as the models cited them.

Names read as Dataiku

What the judge wrote, as written, with how often. The vendor table decides that these count as Dataiku; a claim can dispute any of them.
Dataiku Data Science Studio (DSS) 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 Dataiku'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 Dataiku, 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 dataiku.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.