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 58 → 8 of 81
1 category · Named, not rankedMage
11Judge labels
1First choices
1Negative labels
6 / 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.
Standing
4 labels, too few to rank
A product needs 10 labels in a category before a share or quadrant is stated. Mage was named 4 times in Orchestration, where Prefect led with 21%. The labels and the evidence are below, counted exactly.
By buyer segmentRead the same way at every buyer size.
Small business9 of 86
2%7 labels
under the label threshold
Mid-market26 of 79
0%4 labels
under the label threshold
Enterprisenot named
0%
No model named it for this buyer.
In orchestration · 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 Mage 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 |
|---|---|---|---|---|---|---|---|
| Workflow orchestration | Data platform | 0% | 26 of 79 | 25% | 4 | under 10 labels · led by Prefect at 21% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
Movement
Since September 2026, Mage held within the floor in its one category: no change cleared 11 points.
Best category · Orchestration · by segment
Mid-market=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 24 → 26 of 72
EnterprisegoneNot named this edition; 0% in September 2026.
0%from 0% in September 2026
Inside the floor by 11 pointsNot ranked
All categories · Mid-market
| Category | September 2026 | Now | Change | Reading | Rank |
|---|---|---|---|---|---|
| Orchestration | 0% | 0% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 24 → 26 of 79 |
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 Mage 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 Mage 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 | 0 | 0 | 0 |
| GPT-5.4 mini | 0 | 0 | 0 | 0 | 0 |
| Gemini 3.5 Flash | 0 | 0 | 0 | 1 | 1 |
| Perplexity Sonar | 0 | 0 | 0 | 0 | 0 |
| Grok 4.20 | 0 | 1 | 0 | 0 | 1 |
| Mistral Small | 0 | 0 | 0 | 0 | 0 |
| DeepSeek V4 Flash | 0 | 0 | 0 | 0 | 0 |
| Llama 4 Maverick | 0 | 0 | 0 | 0 | 0 |
| Qwen 3.7 Flash | 0 | 0 | 0 | 0 | 0 |
| Kimi K2 | 0 | 1 | 0 | 0 | 1 |
| GLM 4.7 FlashX | 0 | 0 | 1 | 0 | 1 |
| MiniMax M2.5 | 0 | 0 | 0 | 0 | 0 |
| GPT-6 Luna | 0 | 0 | 0 | 0 | 0 |
| Muse Glimmer 30B | 0 | 0 | 0 | 0 | 0 |
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
Direct0 labelsNone
Paraphrase5 labels1
Comparative2 labelsNone
Budget-constrained3 labelsNone
Scale-constrained0 labelsNone
Negative1 labelNone
First choiceAlternativeMentionNegative11 labels in all, every segment counted; 1 of the 1 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.
“Mage AI (open-source, self-host free): Notebook-style UI for ETL/pipelines—easiest for beginners/non-engineers.” Grok 4.20 · Orchestration · budget prompt · alternative
“Mage is an excellent alternative that can get you productive even faster” Kimi K2 · Orchestration · paraphrase 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.
“Be Cautious of Licensing Changes ... they carry a distinct business risk” Gemini 3.5 Flash · Orchestration · negative prompt · soft negative
Named alongside
The products named in the same answers as Mage, over the 11 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Mage was named but was not.ShowHide
Named alongside
The products named in the same answers as Mage, over the 11 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Mage 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 Mage. 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 10 of the 11 answers that named Mage and are not a share of its labels.
Domains cited
getorchestra.io7
kestra.io7
checkthat.ai6
prefect.io6
cognism.com4
devopsschool.com4
getbruin.com4
airbyte.com3
dataengineeringcentral.substack.com3
datamation.com3
Forty-seven of the forty-seven domain citations in answers naming Mage came from somebody else's page.
Pages cited
Pages are listed as the models cited them.
Search and answers
mage.ai is not in Google's top ten for any of the category's searches. In the answers, Mage takes 0% of first choices and Prefect takes 21%.ShowHide
Search and answers
mage.ai is not in Google's top ten for any of the category's searches. In the answers, Mage takes 0% of first choices and Prefect takes 21%.
ShowHideIn search
Google, US estimatesPosition for “workflow orchestration tool”
–
not in the top ten
Position for “workflow orchestration tools”
–
not in the top ten
- Searches for its name, Google
- 40,500 a month (“mage”)
- AI search demand for its name, est.
- 39,740 a month
- Organic visits to its site
- about 10,334 a month
- Searches its site ranks for
- 1,026 · 15 in the top three
- Sites linking to it
- 1,615
- Paid Google search
- No ads found in the estimate; that does not mean it runs none
Ads on Google
None found in Google's ad transparency records for the US
In answers
This editionShare of first choices
0%
rank 26 of 79 in orchestration
Segment leader
21%
Prefect
- First choices
- 1 across its categories
- Named in
- 11 answers
- Its own site cited
- in 10 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 mage.ai
819
subdomains included
Content
321
counted in the table below
Documentation
358
Product · Integration
70 · 0
| Kind | Pages | Last 90 days | 2025-10 to 2026-09 | Latest | Categories named |
|---|---|---|---|---|---|
| Blog | 157 | 1 | 2026-09-01 | ETL, AI coding | |
| Report or ebook | 100 | undated | |||
| Glossary or explainer | 55 | undated | |||
| Comparison | 8 | 0 | 2026-05-06 | ||
| Case study | 1 | 0 | 2025-05-22 |
Most recent
- 2026-09-01Data pipeline monitoring reliability production guide blog
- 2026-05-12Build data pipelines with your ai coding assistant meet mage agent blog
- 2026-05-06Mage vs dbt fivetran choosing the right stack for ai ready data pipelines comparison
- 2026-04-08The real cost of tool sprawl why your modern data stack is slowing you down blog
- 2026-03-25Why your ai is confidently wrong the silent data gap problem blog
- 2026-03-18Mage vs airflow for ml and llm workflows comparison
How it is countedHide how it is counted
Every page mage.ai 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. Read September 29, 2026.
Names read as Mage
What the judge wrote, as written, with how often. The vendor table decides that these count as Mage; a claim can dispute any of them.
Mage AI 2Mage.ai 1
Follow Mage
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
Mage is its own company.ShowHide
The company
Mage is its own company.
ShowHideIn its own words
Stated by the vendor, not checked- Positioning
- AI data engineering platform that runs production pipelines, checks data quality, fixes failures, and optimizes performance.
- For
- data teams
- Price stated
- Starter: $29 / month + $0.50 per CPU-hour; Team: $100 / month + $0.50 per CPU-hour; Enterprise: Contact sales; Additional AI usage is $0.12 per credit. mage.ai/pricing
- Starting price
- 29 mage.ai/pricing
- Free plan or trial
- Start building free mage.ai
- Certifications
- SOC 2 Type IISOC 2 Type II certification
- Not stated on the pages read
- Integrations, hosting, customers
What Mage's own pages state, read October 5, 2026: mage.ai, mage.ai/pricing, mage.ai/legal/security, mage.ai/platform, mage.ai/partners. 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 Mage'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 Mage, 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 Mage by email, built from the raw record of the edition. It shows:
- where Mage 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 Mage, 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.