A product needs 10 labels in a category before a share is stated. Azkaban has 5.
No positive label carried a quote.
“Why to avoid: Built by LinkedIn a decade ago... has a very small active open-source community today.”Gemini 3.5 Flash · Negative question · warning
“LinkedIn's workflow scheduler has fallen behind modern requirements... Better alternatives exist”MiniMax M2.5 · Negative question · warning
“Legacy tools Luigi and Azkaban rank at the bottom across all metrics”Claude Haiku 4.5 · Negative question · warning
“Older Hadoop scheduler, largely superseded by more modern solutions”GLM 4.7 FlashX · Negative question · warning
The products named in the same answers as Azkaban, over the 9 answers that named it, and how often each was the first choice instead.
| Product | Named together | Picked instead | |
|---|---|---|---|
| 9 | 2 | View → | |
| 9 | 1 | View → | |
| 9 | 0 | View → | |
| 8 | 1 | View → | |
| 5 | 0 | View → | |
| 5 | 0 | View → | |
| 5 | 0 | View → | |
| 4 | 0 | View → | |
| 4 | 0 | View → | |
| 3 | 1 | View → |
A side-by-side page exists where both products are among a category's top eight.
Fourteen AI models from 12 labs are asked the same buying questions six ways, for three company sizes. Standings refresh every edition.
Gane sells AI visibility software. No company can pay to change a result.
Read the method →Fourteen of the fourteen models returned a source list in this edition: five return the pages they cited and nine the search results they consulted. These counts come from 7 of the 9 answers that named Azkaban and are not a share of its labels.
No domain is on file for Azkaban, so its own site is not marked.
Pages are listed as the models cited them.
| Model | First choice | Alternative | Mention | Warning | Labels |
|---|---|---|---|---|---|
| Claude Haiku 4.5 | 0 | 0 | 0 | 1 | 1 |
| 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 | 0 | 0 | 0 | 0 |
| 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 | 0 | 0 | 1 | 1 |
| GLM 4.7 FlashX | 0 | 0 | 0 | 1 | 1 |
| MiniMax M2.5 | 0 | 0 | 0 | 1 | 1 |
| GPT-6 Luna | 0 | 0 | 0 | 0 | 0 |
| Muse Glimmer 30B | 0 | 0 | 0 | 0 | 0 |