IT AI Index
Index Vendors › Alteryx · September 2026 Edition
2 categories · Named, not ranked

Alteryx

10Judge labels
0First choices
4Negative labels
8 of 12Models named it
2Categories
September 2026 Edition. Every number here is derived from the raw labels under vendor table vv2026-09.2, every buyer segment counted.
Standing
3 labels, too few to rank
A product needs 10 labels in a category before a share or quadrant is stated. Alteryx was named 3 times in ML platforms and 1 other category, where Azure Machine Learning led with 17%. The labels and the evidence are below, counted exactly.
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 Alteryx 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 platform0%78 of 9950%2under 10 labels · led by Azure Machine Learning at 17%
ETL and ELTData platform0%52 of 66100%1under 10 labels · led by Airbyte at 32%

Movement

This is the first edition on this tier, so no move can be computed for Alteryx 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 Alteryx across every prompt where it was named for a mid-market B2B company. Twelve models, six prompts per category.
ModelFirst choiceAlternativeMentionNegativeLabels
Claude Haiku 4.500000
GPT-5.4 mini00000
Gemini 3.5 Flash00011
Perplexity Sonar00000
Grok 4.1 Fast00011
Mistral Small00101
DeepSeek V4 Flash00000
Llama 4 Maverick00000
Qwen 3.7 Flash00000
Kimi K200000
GLM 4.7 FlashX00000
MiniMax M2.500000

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
Direct2 labelsNone
Paraphrase0 labelsNone
Comparative2 labelsNone
Budget-constrained4 labelsNone
Scale-constrained0 labelsNone
Negative2 labelsNone
First choiceAlternativeMentionNegative10 labels in all, every segment counted; 0 of the 0 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.

No positive label carried a quote.

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.

“enterprise low-code platforms like Alteryx or DataRobot charge steep enterprise licensing fees” Gemini 3.5 Flash · ML platforms · budget prompt · soft negative
“High cost, steep curve, missing features” Grok 4.1 Fast · ETL · negative prompt · soft negative

Named alongside

The products named in the same answers as Alteryx, over the 10 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Alteryx was named but was not.
ProductSame answerTook the first choice insteadHead to head
Amazon SageMaker7 of 102Not in the top three
Azure Machine Learning7 of 101Not in the top three
Google Vertex AI6 of 102Not in the top three
Databricks4 of 101Not in the top three
DataRobot4 of 100Not in the top three
Dataiku3 of 101Not in the top three
H2O.ai3 of 101Not in the top three
Kubeflow3 of 100Not in the top three
MLflow3 of 100Not in the top three
Informatica PowerCenter2 of 101Not 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 Alteryx. 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 6 of the 10 answers that named Alteryx and are not a share of its labels.

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 Alteryx'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 Alteryx, 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 alteryx.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.