Small business▼−1Since September 2026: 8% → 6%, −1 point. Inside the 11-point floor: within noise. Read over the models both editions asked.
6%from 8% in September 2026
Inside the floor by 10 pointsRank 5 of 81, unchanged
3 categories · RankedDagster
161Judge labels
16First choices
18Negative 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
14% in Orchestration for mid-market buyers
Rank 3 of 79 in the mid-market standingaccepted challenger
0 of 14 models made it the first choice on the direct prompt; 8% of its 50 labels there were negative.
What the models named instead of Dagster →By buyer segmentRead the same way at every buyer size.
Small business5 of 86
5%48 labels
accepted challenger
Mid-market3 of 79
14%50 labels
accepted challenger
Enterprise4 of 108
9%45 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 Dagster 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 | 14% | 3 of 79 | 8% | 50 | accepted challenger | ▼−4Since September 2026: 18% → 14%, −4 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
| ETL and ELT | Data platform | 0% | 16 of 75 | 10% | 10 | accepted challenger | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
| Data quality and observability | Data platform | 0% | 45 of 110 | 0% | 2 | under 10 labels · led by Metaplane at 31% |
Movement
Since September 2026, Dagster held within the floor in all three categories: no change cleared 11 points.
Best category · Orchestration · by segment
Mid-market▼−4Since September 2026: 18% → 14%, −4 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
14%from 18% in September 2026
Inside the floor by 7 pointsRank 2 of 72, unchanged
Enterprise▲+6Since September 2026: 2% → 8%, +6 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
8%from 2% in September 2026
Inside the floor by 5 pointsRank 9 → 4 of 103
All categories · Mid-market
| Category | September 2026 | Now | Change | Reading | Rank |
|---|---|---|---|---|---|
| Orchestration | 18% | 14% | ▼−4Since September 2026: 18% → 14%, −4 points. Inside the 11-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 2 → 3 of 79 |
| 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 18 → 16 of 75 |
| Data observability | 0% | 0% | newNew since September 2026: not ranked then, 0% now. | New this edition | Rank 45 of 110, 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 Dagster 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 Dagster 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 | 1 | 0 | 0 | 0 | 1 |
| GPT-5.4 mini | 1 | 3 | 1 | 0 | 5 |
| Gemini 3.5 Flash | 2 | 4 | 1 | 1 | 8 |
| Perplexity Sonar | 1 | 1 | 0 | 0 | 2 |
| Grok 4.20 | 0 | 3 | 2 | 2 | 7 |
| Mistral Small | 0 | 3 | 0 | 0 | 3 |
| DeepSeek V4 Flash | 2 | 2 | 3 | 0 | 7 |
| Llama 4 Maverick | 0 | 0 | 2 | 0 | 2 |
| Qwen 3.7 Flash | 2 | 2 | 2 | 0 | 6 |
| Kimi K2 | 0 | 2 | 2 | 1 | 5 |
| GLM 4.7 FlashX | 0 | 3 | 1 | 0 | 4 |
| MiniMax M2.5 | 0 | 3 | 1 | 0 | 4 |
| GPT-6 Luna | 1 | 1 | 0 | 1 | 3 |
| Muse Glimmer 30B | 0 | 2 | 3 | 0 | 5 |
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 labelsNone
Paraphrase46 labels12
Comparative35 labels3not counted in share
Budget-constrained19 labelsNone
Scale-constrained18 labels4
Negative27 labels1not counted in share
First choiceAlternativeMentionNegative161 labels in all, every segment counted; 16 of the 20 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.
“For most mid-sized B2B companies building a modern data stack today, Dagster is the strongest recommendation.” Gemini 3.5 Flash · Orchestration · paraphrase prompt · first choice
“I'd choose Dagster for a mid-sized B2B company because it balances flexibility, modern orchestration” Perplexity Sonar · Orchestration · paraphrase prompt · first choice
“or Dagster if you have solid engineering capacity and want a modern platform that scales well” Claude Haiku 4.5 · 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.
“don't add Airflow or Dagster unless you have workflows beyond scheduled warehouse transformations” GPT-6 Luna · ETL · paraphrase prompt · soft negative
“Less ideal for general mid-sized unless data quality is your top pain—smaller community/ecosystem” Grok 4.20 · Orchestration · paraphrase 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 Dagster, over the 161 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Dagster was named but was not.ShowHide
Named alongside
The products named in the same answers as Dagster, over the 161 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Dagster 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 Dagster. 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 147 of the 161 answers that named Dagster and are not a share of its labels.
Domains cited
kestra.io59
getorchestra.io39
cognism.com36
pracdata.io34
devopsschool.com33
larksuite.com33
ones.com31
teamwork.com27
wrike.com27
airflow.apache.org26
345 of the 345 domain citations in answers naming Dagster came from somebody else's page.
Pages cited
Pages are listed as the models cited them.
Search and answers
dagster.io is not in Google's top ten for any of the category's searches. In the answers, Dagster takes 14% of first choices and Prefect takes 21%.ShowHide
Search and answers
dagster.io is not in Google's top ten for any of the category's searches. In the answers, Dagster takes 14% 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
- 5,400 a month (“dagster”)
- AI search demand for its name, est.
- 143 a month
- Organic visits to its site
- about 23,407 a month
- Searches its site ranks for
- 3,557 · 167 in the top three
- Sites linking to it
- 3,225
- Paid Google search
- No ads found in the estimate; that does not mean it runs none
In answers
This editionShare of first choices
14%
rank 3 of 79 in orchestration
Segment leader
21%
Prefect
- First choices
- 16 across its categories
- Named in
- 161 answers
- Its own site cited
- in 147 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 dagster.io
1,943
subdomains included
Content
1,239
counted in the table below
Documentation
574
Product · Integration
15 · 68
| Kind | Pages | Last 90 days | 2025-10 to 2026-09 | Latest | Categories named |
|---|---|---|---|---|---|
| Glossary or explainer | 733 | 0 | 2024-05-17 | ||
| Report or ebook | 215 | 1 | 2026-09-08 | Data warehouses | |
| Blog | 186 | 6 | 2026-09-17 | ||
| Conference or event | 58 | undated | |||
| Case study | 33 | 1 | 2026-08-04 | ||
| Comparison | 12 | 1 | 2026-09-08 | ||
| Podcast or video | 1 | 0 | 2026-04-02 | ||
| News or press | 1 | undated |
Most recent
- 2026-09-17The data plane is yours dagster hybrid on kubernetes and azure blog
- 2026-09-08Dagster vs airflow comparison
- 2026-09-08How to build data platforms ebook report or ebook
- 2026-08-12Community showcase part 3 blog
- 2026-08-12Orchestration is more than scheduling declarative automation in dagster blog
- 2026-08-04Flo energys data platform for critical energy data case study
Events in person
Upcoming
- November 30, 2026AWS re:Invent 2026Las Vegas · attends
As the event pages on dagster.io state them, read September 28, 2026.
How it is countedHide how it is counted
Every page dagster.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 Dagster
What the judge wrote, as written, with how often. The vendor table decides that these count as Dagster; a claim can dispute any of them.
Dagster (Dagster Cloud) 1
Follow Dagster
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
Dagster is its own company.ShowHide
The company
Dagster is its own company.
ShowHideIn its own words
Stated by the vendor, not checked- Positioning
- AI-native DataOps platform
- For
- engineers
- Price stated
- free tier dagster.io
- Starting price
- $10 dagster.io/pricing
- Free plan or trial
- Get started for free; free 30 day trial dagster.io
- Integrations claimed
- 200 dagster.io/integrations
- Certifications
- SOC 2 Type IIGDPRHIPAASOC 2 Type 2HIPAA compliant
- Hosting
- Cloudon-premhybridEU
- Customers named
- Flo EnergyMagenta TelekomsmavaAyersio Services LimitedChainalysis
What Dagster's own pages state, read September 28, 2026: dagster.io, dagster.io/pricing, dagster.io/security, dagster.io/platform-overview, dagster.io/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 Dagster'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 Dagster, 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 Dagster by email, built from the raw record of the edition. It shows:
- where Dagster 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 Dagster, 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 Dagster 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 Dagster is ranked in a category's top three this edition. Three sizes, one file each, light and dark; the code is under each.
ShowHideDagster is among the products AI models recommend 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.