Small business▲+2Since September 2026: 0% → 2%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
2%from 0% in September 2026
Inside the floor by 9 pointsRank 45 → 25 of 131
2 categories · RankedDataRobot
74Judge labels
6First choices
19Negative labels
13 / 14Models named it
2Categories
October 2026 Edition. Every number here is derived from the raw labels under vendor table v2026-10.8, every buyer segment counted.
Best standing
7% in ML platforms for enterprise buyers
Rank 7 of 107 in the mid-market standingaccepted challenger
2 of 14 models made it the first choice on the direct prompt; 11% of its 19 labels there were negative.
What the models named instead of DataRobot →By buyer segmentRead the same way at every buyer size.
Small business27 of 139
2%20 labels
criticized challenger
Mid-market7 of 107
4%19 labels
accepted challenger
Enterprise6 of 65
7%27 labels
accepted challenger
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 DataRobot 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 | Since September 2026 |
|---|---|---|---|---|---|---|---|
| ML platforms | Data platform | 4% | 7 of 107 | 11% | 19 | accepted challenger | ▲+4Since September 2026: 0% → 4%, +4 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
| AI governance platforms | Data platform | 0% | 56 of 135 | 0% | 2 | under 10 labels · led by Credo AI at 18% |
Movement
Since September 2026, DataRobot held within the floor in its one category: no change cleared 11 points.
Best category · ML platforms · by segment
Mid-market▲+4Since September 2026: 0% → 4%, +4 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
4%from 0% in September 2026
Inside the floor by 7 pointsRank 17 → 7 of 97
Enterprise=heldSince September 2026: 5% → 5%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
5%from 5% in September 2026
Inside the floor by 11 pointsRank 7 → 6 of 55
All categories · Mid-market
| Category | September 2026 | Now | Change | Reading | Rank |
|---|---|---|---|---|---|
| ML platforms | 0% | 4% | ▲+4Since September 2026: 0% → 4%, +4 points. Inside the 11-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 17 → 7 of 107 |
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 DataRobot across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.ShowHide
By model
How each model treated DataRobot across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.
ShowHide| Model | First choice | Alternative | Mention | Negative | Labels |
|---|---|---|---|---|---|
| Claude Haiku 4.5 | 0 | 0 | 2 | 0 | 2 |
| GPT-5.4 mini | 0 | 0 | 0 | 0 | 0 |
| Gemini 3.5 Flash | 0 | 0 | 0 | 0 | 0 |
| Perplexity Sonar | 0 | 1 | 1 | 0 | 2 |
| Grok 4.20 | 0 | 1 | 1 | 0 | 2 |
| Mistral Small | 0 | 1 | 0 | 0 | 1 |
| DeepSeek V4 Flash | 0 | 2 | 1 | 1 | 4 |
| Llama 4 Maverick | 0 | 0 | 0 | 0 | 0 |
| Qwen 3.7 Flash | 1 | 0 | 1 | 1 | 3 |
| Kimi K2 | 0 | 1 | 1 | 0 | 2 |
| GLM 4.7 FlashX | 0 | 1 | 1 | 0 | 2 |
| MiniMax M2.5 | 1 | 0 | 0 | 0 | 1 |
| GPT-6 Luna | 0 | 0 | 0 | 0 | 0 |
| Muse Glimmer 30B | 0 | 0 | 2 | 0 | 2 |
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
Direct16 labels2
Paraphrase12 labels1
Comparative19 labelsNone
Budget-constrained7 labels3
Scale-constrained7 labelsNone
Negative13 labelsNone
First choiceAlternativeMentionNegative74 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.
“I'd suggest starting with Databricks or DataRobot as they balance power with usability” MiniMax M2.5 · ML platforms · direct prompt · first choice
“The Best Overall for Speed & Ease of Use: DataRobot” Qwen 3.7 Flash · ML platforms · direct prompt · first choice
“DataRobot is the best fit if you want the fastest path to usable models with less ML engineering overhead” Perplexity Sonar · ML platforms · direct prompt · alternative
“Platforms that sit in the middle—Databricks, DataRobot, H2O.ai” Kimi K2 · ML platforms · scale 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.
“Avoid enterprise-scale platforms like SageMaker, Dataiku, or DataRobot — they're overkill” DeepSeek V4 Flash · ML platforms · negative prompt · hard negative
“Tools like DataRobot, Alteryx, or RapidMiner promise to make ML easy... they can be problematic for dedicated data science teams.” Qwen 3.7 Flash · ML platforms · negative prompt · soft negative
Named alongside
The products named in the same answers as DataRobot, over the 74 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and DataRobot was named but was not.ShowHide
Named alongside
The products named in the same answers as DataRobot, over the 74 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and DataRobot was named but was not.
ShowHideProductSame answerTook the first choice insteadHead to head
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 DataRobot. 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 65 of the 74 answers that named DataRobot and are not a share of its labels.
Domains cited
g2.com32
checkthat.ai26
learn.g2.com22
it-ai-index.com20
deepusecase.com16
devopsschool.com16
eweek.com14
azumo.com13
dataiku.com13
linkedin.com12
184 of the 184 domain citations in answers naming DataRobot came from somebody else's page.
Pages cited
Pages are listed as the models cited them.
Search and answers
datarobot.com is not in Google's top ten for any of the category's searches. In the answers, DataRobot takes 4% of first choices and Azure Machine Learning takes 21%.ShowHide
Search and answers
datarobot.com is not in Google's top ten for any of the category's searches. In the answers, DataRobot takes 4% of first choices and Azure Machine Learning takes 21%.
ShowHideIn search
Google, US estimatesPosition for “machine learning platform”
–
not in the top ten
Position for “machine learning platforms”
–
not in the top ten
- Searches for its name, Google
- 5,400 a month (“datarobot”)
- AI search demand for its name, est.
- 169 a month
- Organic visits to its site
- about 9,791 a month
- Searches its site ranks for
- 1,516 · 164 in the top three
- Sites linking to it
- 9,335
- Paid Google search
- No ads found in the estimate; that does not mean it runs none
In answers
This editionShare of first choices
4%
rank 7 of 107 in ML platforms
Segment leader
21%
Azure Machine Learning
- First choices
- 6 across its categories
- Named in
- 74 answers
- Its own site cited
- in 65 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
What it publishes
ShowHideAddresses on datarobot.com
2,669
subdomains included
Content
500
counted in the table below
Documentation
1,426
Product · Integration
19 · 5
| Kind | Pages | Last 90 days | 2025-10 to 2026-09 | Latest | Categories named |
|---|---|---|---|---|---|
| Blog | 239 | 21 | 2026-09-24 | ML platforms | |
| News or press | 107 | 2 | 2026-07-22 | ML platforms | |
| Conference or event | 46 | 0 | 2025-11-12 | ||
| Report or ebook | 42 | 0 | 2025-06-16 | ||
| Webinar or virtual event | 33 | 1 | 2026-07-10 | ||
| Case study | 26 | 0 | 2026-06-02 | ||
| Glossary or explainer | 3 | undated | |||
| Comparison | 2 | undated | |||
| Template or tool | 2 | 1 | 2026-07-29 |
Most recent
- 2026-09-24The unsexy ai why your forklift matters more than your chatbot blog
- 2026-09-18Your AI factory is running. What’s it producing? blog
- 2026-09-11Adversarial evaluation for agent assist ship agents that survive production blog
- 2026-09-10Ai production gap blog
- 2026-09-08How much guardrail does your ai agent need blog
- 2026-08-27Agentic ai guardrails what enterprise leaders are accountable for blog
How it is countedHide how it is counted
Every page datarobot.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 DataRobot
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
DataRobot is its own company.ShowHide
The company
DataRobot is its own company.
ShowHideIn its own words
Stated by the vendor, not checked- Positioning
- Unified Agent Workforce Platform for Enterprise
- For
- enterprise
- Free plan or trial
- Try DataRobot datarobot.com
- Certifications
- The exclusive agentic AI partner fully certified to run inside the SAP ecosystem.
- Customers named
- Norfolk Iron & MetalNetAPPBSISanlam
- Not stated on the pages read
- Price, starting price, integrations, hosting
What DataRobot's own pages state, read September 28, 2026: datarobot.com, trust.datarobot.com, datarobot.com/solutions, datarobot.com/customer-stories, datarobot.com/integrations. 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 DataRobot'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 DataRobot, 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 DataRobot by email, built from the raw record of the edition. It shows:
- where DataRobot 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 DataRobot, 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.