# MySQL: how AI models rank it, November 2026

Gane Index, November 2026 Edition. Named in 8 judge labels across 4 categories by 6 of 14 models. Page: https://www.gane.ai/index/it/vendors/mysql

## Standing by category

| Category | Share | Rank | Negative rate | Labels |
|---|---|---|---|---|
| [Managed relational databases](https://www.gane.ai/index/it/it-data/managed-relational-databases/index.md) | 0% | 48 | 33% | 3 |
| [Time series databases](https://www.gane.ai/index/it/it-data/time-series-databases/index.md) | 0% | 77 | 100% | 3 |
| [Data masking and test data management](https://www.gane.ai/index/it/it-data/data-masking-and-test-data/index.md) | 0% | 69 | 0% | 1 |
| [NoSQL databases](https://www.gane.ai/index/it/it-data/nosql-databases/index.md) | 0% | 47 | 0% | 1 |

## What the models said for it

- "Offers built-in masking functions or plugins (like Percona Server's data masking functions)" (Gemini 3.5 Flash, Data masking)
- "Favor open-source engines (PostgreSQL, MySQL, MariaDB)" (Kimi K2, Managed databases)

## And against it

- "Avoid using relational databases for high-scale time series workloads" (Mistral Small, Time series DBs)
- "Traditional relational databases (like MySQL or standard Postgres) often struggle with the high velocity, append-only nature" (Qwen 3.7 Flash, Time series DBs)
- "Single Server instances suffer from poorer performance, slower scaling, and lack of modern Postgres extension support." (Gemini 3.5 Flash, Managed databases)
- "Plain PostgreSQL or MySQL for very large time-series workloads... Use them cautiously" (Perplexity Sonar, Time series DBs)

## By model

| Model | First choice | Alternative | Mention | Warning | Labels |
|---|---|---|---|---|---|
| Claude Haiku 4.5 | 0 | 0 | 0 | 0 | 0 |
| GPT-5.4 mini | 0 | 0 | 0 | 0 | 0 |
| Gemini 3.5 Flash | 0 | 1 | 1 | 1 | 3 |
| Perplexity Sonar | 0 | 0 | 0 | 1 | 1 |
| Grok 4.20 | 0 | 0 | 0 | 0 | 0 |
| Mistral Small | 0 | 0 | 0 | 1 | 1 |
| DeepSeek V4 Flash | 0 | 0 | 0 | 0 | 0 |
| Llama 4 Maverick | 0 | 0 | 0 | 0 | 0 |
| Qwen 3.7 Flash | 0 | 0 | 0 | 1 | 1 |
| Kimi K2 | 0 | 1 | 0 | 0 | 1 |
| GLM 4.7 FlashX | 0 | 0 | 0 | 0 | 0 |
| MiniMax M2.5 | 0 | 0 | 1 | 0 | 1 |
| 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 MySQL, from 24 of the 33 answers that named it (only the models that return a source list).

### Domains cited

- gane.ai/index: 14
- github.com: 12
- g2.com: 10
- tigerdata.com: 8
- influxdata.com: 7
- aws.amazon.com: 6
- acloudfan.com: 5
- cloud.google.com: 5
- linkedin.com: 5
- nora.nerc.ac.uk: 5

### Pages cited

- https://acloudfan.com/2023/03/11/nosql-databases-are-for-large-companies-only: 5
- https://www.gane.ai/index/it/it-data/nosql-databases/smb: 5
- https://nora.nerc.ac.uk/id/eprint/527832/7/N527832CR.pdf: 5
- https://tigerdata.com/learn/the-best-time-series-databases-compared: 4
- https://victoriametrics.com/blog/the-rise-of-open-source-time-series-databases: 4
- https://aws.amazon.com/smart-business/resources-for-smb/sql-vs-nosql: 3
- https://cloud.google.com/sql: 3
- https://cratedb.com/academy/time-series/getting-started/real-life-challenges-with-time-series: 3

## In its own words

What MySQL's own pages state, read 2026-10-05. Stated by the vendor, not checked by the index.

- Positioning: The world's most popular open source database (https://mysql.com/)

## What it publishes

Every page mysql.com exposes, read 2026-10-05: 21 addresses. By kind, pages and the last 90 days:

- case study: 4 pages, 0 in the last 90 days, latest undated
- webinar or virtual event: 1 pages, 0 in the last 90 days, latest undated
- conference or event: 1 pages, 0 in the last 90 days, latest undated
- news or press: 5 pages, 0 in the last 90 days, latest undated

## 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.