| Category | Function | Share | Rank | Negative rate | Labels | Quadrant | Since September 2026 |
|---|---|---|---|---|---|---|---|
| Workflow orchestration | Data platform | 17% | 2 of 79 | 31% | 65 | criticized challenger | ▼−2Since September 2026: 16% → 14%, −2 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
| ETL and ELT | Data platform | 0% | 15 of 75 | 29% | 24 | criticized challenger | =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% | 56 of 107 | 0% | 1 | under 10 labels · led by Azure Machine Learning at 21% | newNew since September 2026: not ranked then, 0% now. |
| Category | September 2026 | Now | Change | Reading | Rank |
|---|---|---|---|---|---|
| Orchestration | 16% | 14% | ▼−2Since September 2026: 16% → 14%, −2 points. Inside the 11-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 3 → 2 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 11 → 15 of 75 |
| ML platforms | 0% | 0% | newNew since September 2026: not ranked then, 0% now. | New this edition | Rank 56 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
| Model | First choice | Alternative | Mention | Negative | Labels |
|---|---|---|---|---|---|
| Claude Haiku 4.5 | 1 | 1 | 2 | 3 | 7 |
| GPT-5.4 mini | 2 | 2 | 0 | 1 | 5 |
| Gemini 3.5 Flash | 0 | 0 | 1 | 6 | 7 |
| Perplexity Sonar | 1 | 1 | 0 | 1 | 3 |
| Grok 4.20 | 2 | 5 | 1 | 1 | 9 |
| Mistral Small | 3 | 1 | 2 | 0 | 6 |
| DeepSeek V4 Flash | 1 | 4 | 3 | 2 | 10 |
| Llama 4 Maverick | 0 | 0 | 2 | 0 | 2 |
| Qwen 3.7 Flash | 1 | 2 | 3 | 2 | 8 |
| Kimi K2 | 1 | 4 | 0 | 3 | 8 |
| GLM 4.7 FlashX | 2 | 1 | 1 | 2 | 6 |
| MiniMax M2.5 | 1 | 3 | 1 | 1 | 6 |
| GPT-6 Luna | 1 | 3 | 0 | 2 | 6 |
| Muse Glimmer 30B | 3 | 1 | 0 | 3 | 7 |
Verbatim evidence the judge attached to positive labels.
“Need scheduled ETL / batch data pipelines and you have Python engineers to operate it → Apache Airflow self-hosted. Lowest license cost and largest community.” Muse Glimmer 30B · Orchestration · budget prompt · first choice
“Most established open-source tool, massive community, rich plugin ecosystem... Choose Airflow for mature, community-driven data orchestration.” Mistral Small · Orchestration · comparative prompt · first choice
“my default is Apache Airflow if you have engineers and mean data pipelines; n8n if you mean automating business apps and APIs.” GPT-6 Luna · Orchestration · budget prompt · first choice
“Maturity: Most established open-source workflow engine... Choose Airflow if you need maximum ecosystem maturity” Kimi K2 · Orchestration · comparative prompt · first choice
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.
“The Budget Trap: Why Apache Airflow is often a bad choice” Gemini 3.5 Flash · Orchestration · budget prompt · hard negative
“Tool to avoid: Apache Airflow (for Real-Time Streaming)” Qwen 3.7 Flash · Orchestration · negative prompt · hard negative
“skip legacy Apache Airflow and adopt Prefect Cloud” Gemini 3.5 Flash · Orchestration · direct prompt · hard negative
“Airflow is built for batch data pipelines with explicit dependencies, not for low-latency event-driven or long-running durable business processes.” Muse Glimmer 30B · Orchestration · negative prompt · soft negative
Citations exist only for the models that return a source list, five of the fourteen in this edition, so these counts come from 220 of the 243 answers that named Apache Airflow and are not a share of its labels.
481 of the 481 domain citations in answers naming Apache Airflow came from somebody else's page.
Pages are listed as the models cited them.
First shown March 2025, as GridGain Systems, verified. 1 more by other advertisers linking to it.
On Google's pages: 1
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.
| Kind | Pages | Last 90 days | 2025-10 to 2026-09 | Latest | Categories named |
|---|---|---|---|---|---|
| News or press | 1,081 | 12 | 2026-09-03 | ||
| Blog | 228 | 1 | 2026-07-01 | ||
| Template or tool | 38 | undated | |||
| Report or ebook | 14 | undated | |||
| Conference or event | 10 | 0 | 2026-06-09 | ||
| Glossary or explainer | 9 | undated | |||
| Case study | 2 | undated | |||
| Webinar or virtual event | 2 | undated |
Every page apache.org 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.
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.
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 Apache Airflow'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 Apache Airflow, applied by version and listed in the change log; and a one-line description supplied by the vendor and marked as such.
A new claim receives the current edition's vendor brief for Apache Airflow by email, built from the raw record of the edition. It shows:
Apache Airflow 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.
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.