Small business▼−2Since September 2026: 23% → 21%, −2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
21%from 23% in September 2026
Inside the floor by 9 pointsRank 1 → 2 of 81
3 categories · RankedPrefect
160Judge labels
31First choices
13Negative labels
14 / 14Models named it
3Categories
October 2026 Edition. Every number here is derived from the raw labels under vendor table v2026-10.8, every buyer segment counted.
Best standing
22% in Orchestration for small business buyers
Rank 1 of 79 in the mid-market standingaccepted challenger
2 of 14 models made it the first choice on the direct prompt; 5% of its 55 labels there were negative.
What the models named instead of Prefect →By buyer segmentRead the same way at every buyer size.
Small business2 of 86
22%54 labels
accepted challenger
Mid-market1 of 79
21%55 labels
accepted challenger
Enterprise2 of 108
13%44 labels
accepted challenger
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 Prefect 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 | 21% | 1 of 79 | 5% | 55 | accepted challenger | =heldSince September 2026: 24% → 24%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
| ETL and ELT | Data platform | 0% | 22 of 75 | 0% | 3 | under 10 labels · led by Fivetran at 40% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
| ML platforms | Data platform | 0% | 73 of 107 | 0% | 1 | under 10 labels · led by Azure Machine Learning at 21% | newNew since September 2026: not ranked then, 0% now. |
Movement
Since September 2026, Prefect held within the floor in all three categories: no change cleared 11 points.
Best category · Orchestration · by segment
Mid-market=heldSince September 2026: 24% → 24%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
24%from 24% in September 2026
Inside the floor by 11 pointsRank 1 of 72, unchanged
Enterprise▲+8Since September 2026: 6% → 15%, +8 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
15%from 6% in September 2026
Inside the floor by 3 pointsRank 5 → 2 of 103
All categories · Mid-market
| Category | September 2026 | Now | Change | Reading | Rank |
|---|---|---|---|---|---|
| Orchestration | 24% | 24% | =heldSince September 2026: 24% → 24%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 1 of 79, unchanged |
| ETL | 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 19 → 22 of 75 |
| ML platforms | 0% | 0% | newNew since September 2026: not ranked then, 0% now. | New this edition | Rank 73 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 Prefect 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 Prefect 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 | 2 | 0 | 0 | 2 |
| GPT-5.4 mini | 1 | 3 | 1 | 0 | 5 |
| Gemini 3.5 Flash | 3 | 2 | 2 | 1 | 8 |
| Perplexity Sonar | 0 | 1 | 1 | 0 | 2 |
| Grok 4.20 | 2 | 3 | 0 | 1 | 6 |
| Mistral Small | 0 | 2 | 2 | 0 | 4 |
| DeepSeek V4 Flash | 0 | 3 | 3 | 0 | 6 |
| Llama 4 Maverick | 0 | 0 | 2 | 0 | 2 |
| Qwen 3.7 Flash | 3 | 2 | 0 | 0 | 5 |
| Kimi K2 | 1 | 2 | 1 | 1 | 5 |
| GLM 4.7 FlashX | 1 | 2 | 0 | 0 | 3 |
| MiniMax M2.5 | 2 | 1 | 2 | 0 | 5 |
| GPT-6 Luna | 0 | 2 | 0 | 0 | 2 |
| Muse Glimmer 30B | 0 | 3 | 1 | 0 | 4 |
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
Direct19 labels3
Paraphrase33 labels14
Comparative38 labels8not counted in share
Budget-constrained22 labels6
Scale-constrained22 labels8
Negative26 labels1not counted in share
First choiceAlternativeMentionNegative160 labels in all, every segment counted; 31 of the 40 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.
“the best default choice is usually Prefect if you want a modern, Python-friendly orchestration tool with a relatively fast time to value” GPT-5.4 mini · Orchestration · direct prompt · first choice
“Prefect | Python devs, dynamic flows | Easy UI, auto-retries, hybrid deploy. ... | Excellent starter.” Grok 4.20 · Orchestration · scale prompt · first choice
“Start with Prefect. It typically offers the fastest return on investment for mid-sized teams” Qwen 3.7 Flash · Orchestration · paraphrase prompt · first choice
“we recommend starting with a Modern Task Orchestrator (likely Prefect or Dagster)” Qwen 3.7 Flash · Orchestration · scale prompt · first choice
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.
“Better UX than Airflow, but sparse documentation/StackOverflow support makes troubleshooting hard.” Grok 4.20 · Orchestration · negative prompt · soft negative
“excellent alternatives to Airflow. However ... they carry a distinct business risk” Gemini 3.5 Flash · Orchestration · negative prompt · soft negative
“Prefect/Dagster | Long-running business processes with complex state” Kimi K2 · Orchestration · negative prompt · soft negative
Named alongside
The products named in the same answers as Prefect, over the 158 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Prefect was named but was not.ShowHide
Named alongside
The products named in the same answers as Prefect, over the 158 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Prefect 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 Prefect. 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 142 of the 158 answers that named Prefect and are not a share of its labels.
Domains cited
kestra.io66
larksuite.com39
getorchestra.io38
cognism.com35
ones.com35
devopsschool.com34
pracdata.io34
wrike.com33
teamwork.com31
kanerika.com30
375 of the 375 domain citations in answers naming Prefect came from somebody else's page.
Pages cited
Pages are listed as the models cited them.
Search and answers
Where Prefect stands in Google search beside where it stands in the models' answers.ShowHide
Search and answers
Where Prefect stands in Google search beside where it stands in the models' answers.
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
- 14,800 a month (“prefect”)
- AI search demand for its name, est.
- 1,159 a month
- Organic visits to its site
- about 8,198 a month
- Searches its site ranks for
- 596 · 120 in the top three
- Sites linking to it
- 2,788
- Paid Google search
- 8 searches its ads show for, about 36 clicks and $691 a month (estimate)
In answers
This editionShare of first choices
21%
rank 1 of 79 in orchestration
First choices
31
across its categories
- Named in
- 158 answers
- Its own site cited
- in 142 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 prefect.io
1,178
subdomains included
Content
197
counted in the table below
Documentation
903
Product · Integration
16 · 1
| Kind | Pages | Last 90 days | 2025-10 to 2026-09 | Latest | Categories named |
|---|---|---|---|---|---|
| Blog | 161 | 5 | 2026-09-09 | ||
| Conference or event | 19 | undated | |||
| Comparison | 8 | 1 | 2026-07-22 | ||
| Case study | 6 | 0 | 2026-04-23 | ||
| Glossary or explainer | 3 | 0 | 2026-06-10 |
Most recent
- 2026-09-09Is your mcp server actually good blog
- 2026-08-31Fastmcp 4 is ga blog
- 2026-08-20Mcp auth explained blog
- 2026-07-22Loops vs graphs comparison
- 2026-07-21What the c in mcp means blog
- 2026-07-09How i run my sales week through ai agents instead of apps blog
Events in person
Last twelve months
- September 15, 2026 to September 18, 2026dbt Summit 2026Las Vegas · sponsored
- September 15, 2026The Welcome Party after partyAlexxa's at Paris, Las Vegas, Las Vegas · hosted
- April 2, 2026 to April 3, 2026MCP Dev Summit North AmericaNew York, United States · sponsored
- March 10, 2026PyAI Conference 2026Shack15, Ferry Building, San Francisco · hosted
As the event pages on prefect.io state them, read September 28, 2026.
How it is countedHide how it is counted
Every page prefect.io 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.
Names read as Prefect
What the judge wrote, as written, with how often. The vendor table decides that these count as Prefect; a claim can dispute any of them.
Prefect (Prefect Cloud) 1Prefect Cloud 1Prefect/Airflow 1
Follow Prefect
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
Prefect is its own company.ShowHide
The company
Prefect is its own company.
ShowHideIn its own words
Stated by the vendor, not checked- Positioning
- Workflow orchestration for Data, ML, and Agents
- For
- data, ML, and agents
- Price stated
- 0 prefect.io
- Starting price
- 0 prefect.io
- Free plan or trial
- Start free prefect.io
- Certifications
- SOC 2 Type IIHIPAAGDPRSOC 2 Type II certifiedGDPR compliantHIPAA ready
- Hosting
- KubernetesECSyour own VPCserverlessGCP us-east1AWS us-east-1
- Customers named
- RampWHOOPBarstool SportsCash AppSeven.One EntertainmentSnorkel AIFlatiron HealthClearcover
- Not stated on the pages read
- Integrations
What Prefect's own pages state, read September 28, 2026: prefect.io, prefect.io/pricing, prefect.io/security, prefect.io/platform, prefect.io/customers. 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 Prefect'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 Prefect, 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 Prefect by email, built from the raw record of the edition. It shows:
- where Prefect 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 Prefect, 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.
Badges
Wins only: a badge exists where Prefect is ranked in a category's top three this edition. Three sizes, one file each, light and dark; the code is under each.ShowHide
Badges
Wins only: a badge exists where Prefect is ranked in a category's top three this edition. Three sizes, one file each, light and dark; the code is under each.
ShowHideAI models recommend Prefect first in Workflow orchestration this edition. Each badge says so in the buyer's words, names the edition, and links to the standing. The next edition issues a new badge; this one stays true as a record of October 2026.
Wide · 320 × 104 Website, beside other badges
Square · 240 × 240 LinkedIn, slides
Compact · 200 × 56 Email signature, footer
Badges read on light and dark pages. Alt text carries the claim, the category, the edition and the index, so it stays a citation where the image does not load.