# AWS Glue Data Quality: how AI models rank it, November 2026

Gane Index, November 2026 Edition. Named in 1 judge label across 1 category by 1 of 14 models. Page: https://www.gane.ai/index/it/vendors/aws-glue-data-quality

## Standing by category

| Category | Share | Rank | Negative rate | Labels |
|---|---|---|---|---|
| [Data quality and observability](https://www.gane.ai/index/it/it-data/data-quality-and-observability/index.md) | 0% | 74 | 0% | 1 |

## By model

| Model | First choice | Alternative | Mention | Warning | Labels |
|---|---|---|---|---|---|
| Claude Haiku 4.5 | 0 | 0 | 1 | 0 | 1 |
| GPT-5.4 mini | 0 | 0 | 0 | 0 | 0 |
| Gemini 3.5 Flash | 0 | 0 | 0 | 0 | 0 |
| 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 | 0 | 0 |
| GLM 4.7 FlashX | 0 | 0 | 0 | 0 | 0 |
| MiniMax M2.5 | 0 | 0 | 0 | 0 | 0 |
| GPT-6 Luna | 0 | 0 | 0 | 0 | 0 |
| Muse Glimmer 30B | 0 | 0 | 0 | 0 | 0 |

## Sources returned with these answers

The sites and pages cited by the answers that named AWS Glue Data Quality, from 1 of the 2 answers that named it (only the models that return a source list).

### Domains cited

- acceldata.io: 1
- algoscale.com: 1
- ciopages.com: 1
- datakitchen.io: 1
- dataopsleadership.substack.com: 1
- datastackindex.com: 1
- getorchestra.io: 1
- reddit.com: 1
- research.isg-one.com: 1
- sota.io: 1

### Pages cited

- https://acceldata.io/montecarlo-vs-acceldata: 1
- https://algoscale.com/data-engineering/best-data-observability-tools: 1
- https://ciopages.com/buyer-guides/data-quality-observability: 1
- https://datakitchen.io/blog/1-billion-ivc-investment-this-is-not-going-to-end-well: 1
- https://datakitchen.io/blog/stop-paying-the-data-quality-tax: 1
- https://dataopsleadership.substack.com/p/data-observability-is-a-terrible: 1
- https://datastackindex.com/data-observability/quality-testing: 1
- https://getorchestra.io/blog/top-monte-carlo-data-observability-alternatives-in-2026: 1

## Record

- Method: https://www.gane.ai/index/it/methodology
- License: CC BY 4.0. Cite as Gane Index, November 2026 Edition, www.gane.ai/index/it.
