AI Indexes
IT AI Index
Index › Products › SAS Viya · October 2026 Edition
1 category · Ranked

SAS Viya

22Judge labels
0First choices
5Negative labels
12 / 14Models named it
1Category
October 2026 Edition. Every number here is derived from the raw labels under vendor table v2026-10.8, every buyer segment counted.
Best standing
0% in ML platforms for enterprise buyers
Rank 84 of 107 in the mid-market standing
0 of 14 models made it the first choice on the direct prompt; 50% of its 2 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 SAS Viya 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 rateLabelsQuadrantSince September 2026
ML platformsData platform0%84 of 10750%2under 10 labels · led by Azure Machine Learning at 21%newNew since September 2026: not ranked then, 0% now.

Movement

Since September 2026, SAS Viya held within the floor in its one category: no change cleared 11 points.

Best category · ML platforms · by segment

Small business=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
0%from 0% in September 2026
Inside the floor by 11 pointsRank 83 → 115 of 131
Mid-marketnewNew since September 2026: not ranked then, 0% now.
0%from 0% in September 2026
Inside the floor by 11 pointsRank 78 of 97, unchanged
Enterprise=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
0%from 0% in September 2026
Inside the floor by 11 pointsRank 17 → 12 of 55

All categories · Mid-market

CategorySeptember 2026NowChangeReadingRank
ML platforms0%0%newNew since September 2026: not ranked then, 0% now.New this editionRank 84 of 107, unchanged

Shares here are read over the models both editions asked, so they can differ by a point or two from the standing above, which counts every model in this edition.

The floor is 11 points of share, measured: how far the models move a leader on their own when the same questions are asked twice with nothing changed. A larger change is movement; a smaller one is noise, and both are shown. Movement is read over the twelve models both editions asked; GPT-6 Luna, Muse Glimmer 30B joined this edition and are in the standing but not yet in the comparison. How the floor is measured · The editions

By model

How each model treated SAS Viya across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.
ShowHide
ModelFirst choiceAlternativeMentionNegativeLabels
Claude Haiku 4.500000
GPT-5.4 mini00000
Gemini 3.5 Flash00000
Perplexity Sonar00000
Grok 4.2000000
Mistral Small00000
DeepSeek V4 Flash00112
Llama 4 Maverick00000
Qwen 3.7 Flash00000
Kimi K200000
GLM 4.7 FlashX00000
MiniMax M2.500000
GPT-6 Luna00000
Muse Glimmer 30B00000

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
Direct3 labelsNone
Paraphrase3 labelsNone
Comparative9 labelsNone
Budget-constrained0 labelsNone
Scale-constrained1 labelNone
Negative6 labelsNone
First choiceAlternativeMentionNegative22 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.

“Difficult for non-technical users... Expensive, particularly in enterprise licensing” DeepSeek V4 Flash · ML platforms · negative prompt · soft negative

Named alongside

The products named in the same answers as SAS Viya, over the 22 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and SAS Viya was named but was not.
ShowHide
ProductSame answerTook the first choice insteadHead to head
Databricks Mosaic AI18 of 227Not among the top eight
Google Vertex AI16 of 222Not among the top eight
Amazon SageMaker15 of 222Not among the top eight
Azure Machine Learning13 of 221Not among the top eight
DataRobot8 of 220Not among the top eight
Dataiku8 of 220Not among the top eight
H2O.ai7 of 220Not among the top eight
IBM watsonx.ai5 of 220Not among the top eight
Snowflake Cortex AI5 of 220Not among the top eight
MLflow4 of 221Not among the top eight
A head-to-head page exists where both products are among a category's top eight. 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 SAS Viya. A fact about retrieval, not a lever on the model.

Citations exist only for the models that return a source list, five of the fourteen in this edition, so these counts come from 22 of the 22 answers that named SAS Viya and are not a share of its labels.

Domains cited

g2.com19
checkthat.ai8
learn.g2.com7
linkedin.com7
deepusecase.com6
guptadeepak.com6
prompts.ai6
research.oz.spotlightar.com6
dagshub.com5
devopsschool.com5

Seventy-five of the seventy-five domain citations in answers naming SAS Viya came from somebody else's page.

Pages cited

Pages are listed as the models cited them.

Search and answers

sas.com is not in Google's top ten for any of the category's searches. In the answers, SAS Viya takes 0% of first choices and Azure Machine Learning takes 21%.
ShowHide

In search

Google, US estimates
Position for “machine learning platform”
–
not in the top ten
Position for “machine learning platforms”
–
not in the top ten
Searches for its name, Google
2,400 a month (“sas viya”)
AI search demand for its name, est.
89 a month
Organic visits to its site
about 431,607 a month
Searches its site ranks for
42,961 · 4,091 in the top three
Sites linking to it
43,521
Paid Google search
No ads found in the estimate; that does not mean it runs none
Ads on GoogleDetailLess
42+ ads · 25 video, 17 image · 42 shown in the last 30 days

First shown July 2025, as SAS Institute Inc., verified. Ads started 2025-11 to 2026-10: 32 in the year, 10 before. 78 more by other advertisers linking to it.

On Google's pages: 1 2 3 4

In answers

This edition
Share of first choices
0%
rank 84 of 107 in ML platforms
Segment leader
21%
Azure Machine Learning
First choices
0 across its categories
Named in
22 answers
Its own site cited
in 22 of the answers that named it

Search figures are US estimates from DataForSEO, read September 28, 2026; AI search demand is its modeled, directional estimate, not a count of queries to any assistant. The answers are this edition's. Two measurements side by side: neither is read as the cause of the other.

What it publishes

ShowHide
Addresses on sas.com
25,696
subdomains included
Content
8,152
counted in the table below
Documentation
138
Product · Integration
1,878 · 15
KindPagesLast 90 days2025-10 to 2026-09LatestCategories named
Blog6,337432026-09-29
Glossary or explainer62562026-09-28ETL
Report or ebook54812026-07-09
Webinar or virtual event47632026-09-01
Conference or event9622026-08-28
News or press3622026-09-28
Template or tool1702023-10-16
Podcast or video16162026-09-16
Comparison112026-08-05

Most recent

How it is countedHide how it is counted

Every page sas.com exposes, subdomains included. Kind is read from the address and title. The last 90 days, the latest date and the twelve months count pages by when they were published, from the site's feeds, a date in the address, or the page's own publication date, read from up to a hundred of its most recently changed pages; a page that says only when it last changed is counted in its kind but not in when, so the recent counts are a floor, and a kind none of whose pages gives a publication date reads undated. An event counts as online when its address or title says so (webinar, on demand, virtual or online summit); a conference, summit, trade show, expo or roadshow that does not say so is counted as a conference or event, which on a vendor's site is mostly in person. Read September 29, 2026.

Follow SAS Viya

An email the morning each edition publishes: where this product moved, where it held, and by how much against the noise floor. One address, confirmed by a click; a stop link in every email.

Already following? Everything you follow, with a stop for each.

The company

SAS Viya is its own company.
ShowHide

In its own words

Stated by the vendor, not checked
Positioning
SAS Viya brings data, analytics and AI together in a single platform designed for enterprise scale. Build, deploy and govern AI faster — turning insight into decisions across your organization.
For
organizations
Free plan or trial
Free SAS Viya Trial sas.com
Customers named
Georgia-PacificPosten BringLiverpool FCDB InsuranceERGOErasmus MCUlta BeautyOrlando Magic
Not stated on the pages read
Price, starting price, integrations, certifications, hosting

What SAS Viya's own pages state, read October 5, 2026: sas.com, sas.com/en_ae/solutions/ai.html. A claimed page can correct any of them.

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 SAS Viya'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 SAS Viya, applied by version and listed in the change log; and a one-line description supplied by the vendor and marked as such.

What a new claim receivesHide what a new claim receives

A new claim receives the current edition's vendor brief for SAS Viya by email, built from the raw record of the edition. It shows:

  • where SAS Viya is named, by buyer and by framing, and which cells hold its first choices;
  • the claims the models make when they name it, ranked, with the strongest and the weakest quoted;
  • its vocabulary against the segment leader's, and the pages the models cited;
  • who was chosen in the answers that did not name SAS Viya, and every reason the record gives;
  • a battlecard for each top rival: the head-to-head split, why they win, and the reservation quoted against them;
  • one page of published figures cleared to show a buyer.
The subscriber app

A verification link goes to your work email; an address at sas.com is approved on the spot, any other is reviewed by hand. Your email is never published. Claiming gives no say over labels, shares, verdicts or which quotes appear.