# Feast: how AI models rank it, November 2026

Gane Index, November 2026 Edition. Named in 2 judge labels across 1 category by 2 of 14 models. Page: https://www.gane.ai/index/it/vendors/feast

## Standing by category

| Category | Share | Rank | Negative rate | Labels |
|---|---|---|---|---|
| [ML platforms](https://www.gane.ai/index/it/it-data/ml-platforms/index.md) | 0% | 50 | 0% | 2 |

## 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 | 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 | 1 | 0 | 1 |
| 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 | 1 | 0 | 1 |

## Sources returned with these answers

The sites and pages cited by the answers that named Feast, from 1 of the 3 answers that named it (only the models that return a source list).

### Domains cited

- aistrategy.guide: 1
- aitechtrend.com: 1
- axis-intelligence.com: 1
- ciopages.com: 1
- coursera.org: 1
- g2.com: 1
- hst.ie: 1
- kodekloud-c4ac6d9a.mintlify.app: 1
- ones.com: 1
- panoply.io: 1

### Pages cited

- https://aistrategy.guide/en/capabilities/ml-platforms: 1
- https://aitechtrend.com/best-mlops-platforms: 1
- https://axis-intelligence.com/mlops-platforms-comparison-2025-guide: 1
- https://ciopages.com/buyer-guides/mlops-platform: 1
- https://coursera.org/articles/best-mlops-platforms: 1
- https://g2.com/categories/mlops-platforms: 1
- https://g2.com/categories/mlops-platforms/buyer-guide: 1
- https://hst.ie/blog/mlops-platform-services-vs-custom-ai-engineering-comparing-long-term-business-impact-for-european-smbs: 1

## In its own words

What Feast's own pages state, read 2026-10-06. Stated by the vendor, not checked by the index.

- Positioning: The Open Source Feature Store for Machine Learning (https://feast.dev/)
- For: teams (https://feast.dev/)

## What it publishes

Every page feast.dev exposes, read 2026-09-29: 6981 addresses. By kind, pages and the last 90 days:

- blog: 28 pages, 6 in the last 90 days, latest 2026-09-22
- webinar or virtual event: 56 pages, 0 in the last 90 days, latest 2024-04-22
- conference or event: 4 pages, 0 in the last 90 days, latest undated
- report or ebook: 3 pages, 0 in the last 90 days, latest undated
- comparison: 79 pages, 0 in the last 90 days, latest 2025-03-19
- glossary or explainer: 1 pages, 0 in the last 90 days, latest 2021-01-21
- Recent: 2026-09-22 blog: Scylladb feast online store https://feast.dev/blog/scylladb-feast-online-store
- Recent: 2026-08-20 blog: Aerospike feast benchmark harness results https://feast.dev/blog/aerospike-feast-benchmark-harness-results
- Recent: 2026-08-20 blog: Aerospike feast now available https://feast.dev/blog/aerospike-feast-now-available
- Recent: 2026-07-18 blog: Feast unity catalog integration https://feast.dev/blog/feast-unity-catalog-integration
- Recent: 2026-07-14 blog: Feast ray llm posttrain https://feast.dev/blog/feast-ray-llm-posttrain
- Recent: 2026-07-07 blog: Feast openai compatible api https://feast.dev/blog/feast-openai-compatible-api

## 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.