# Snowflake: how AI models rank it, November 2026

Gane Index, November 2026 Edition. Named in 88 judge labels across 4 categories by 14 of 14 models. Page: https://www.gane.ai/index/gtm/vendors/snowflake

## Standing by category

| Category | Share | Rank | Negative rate | Labels |
|---|---|---|---|---|
| [Data warehouse and reverse ETL for marketing](https://www.gane.ai/index/gtm/gtm-data/data-warehouse-reverse-etl/index.md) | 20% | 3 | 22% | 68 |
| [Data management platforms](https://www.gane.ai/index/gtm/gtm-data/data-management-platforms/index.md) | 0% | 19 | 12% | 16 |
| [Customer intelligence and data science](https://www.gane.ai/index/gtm/gtm-data/customer-intelligence-and-data-science/index.md) | 0% | 125 | 33% | 3 |
| [Identity resolution](https://www.gane.ai/index/gtm/gtm-data/identity-resolution/index.md) | 0% | 66 | 0% | 1 |

## What the models said for it

- "For most mid-sized B2B companies, Snowflake + Census + Segment + Fivetran + dbt is a robust, scalable, and maintainable stack." (Mistral Small, Warehouse & ETL)
- "Choose Snowflake or Databricks if your primary challenge is analytical processing speed, centralizing scattered databases" (Gemini 3.5 Flash, DMP)
- "Choose Snowflake if you need multi-cloud flexibility or have broader organizational data needs beyond marketing" (Kimi K2, Warehouse & ETL)
- "What to use instead: Snowflake or Google BigQuery. Both offer serverless auto-scaling, low maintenance" (Gemini 3.5 Flash, Warehouse & ETL)

## And against it

- "Snowflake, BigQuery, Redshift, Databricks are excellent for analytics but: Data is only accessible to technical SQL users" (Kimi K2, Warehouse & ETL)
- "Using Snowflake, BigQuery, or Databricks directly for marketing activation... they offer zero native activation" (Qwen 3.7 Flash, Warehouse & ETL)
- "Cost and lock-in are the recurring complaints... often seen as one of the most expensive cloud data warehouses." (Muse Glimmer 30B, Warehouse & ETL)
- "can become expensive to migrate away from due to proprietary storage formats and integration dependencies" (DeepSeek V4 Flash, DMP)

## By model

| Model | First choice | Alternative | Mention | Warning | Labels |
|---|---|---|---|---|---|
| Claude Haiku 4.5 | 0 | 3 | 1 | 0 | 4 |
| GPT-5.4 mini | 3 | 2 | 0 | 2 | 7 |
| Gemini 3.5 Flash | 4 | 3 | 0 | 1 | 8 |
| Perplexity Sonar | 2 | 1 | 1 | 0 | 4 |
| Grok 4.20 | 1 | 3 | 1 | 2 | 7 |
| Mistral Small | 4 | 1 | 0 | 0 | 5 |
| DeepSeek V4 Flash | 1 | 4 | 0 | 2 | 7 |
| Llama 4 Maverick | 0 | 3 | 4 | 0 | 7 |
| Qwen 3.7 Flash | 4 | 1 | 0 | 3 | 8 |
| Kimi K2 | 3 | 2 | 1 | 3 | 9 |
| GLM 4.7 FlashX | 2 | 1 | 1 | 2 | 6 |
| MiniMax M2.5 | 2 | 3 | 2 | 1 | 8 |
| GPT-6 Luna | 1 | 2 | 1 | 1 | 5 |
| Muse Glimmer 30B | 1 | 0 | 1 | 1 | 3 |

## Sources returned with these answers

The sites and pages cited by the answers that named Snowflake, from 234 of the 273 answers that named it (only the models that return a source list).

### Domains cited

- gane.ai/index: 84
- skyvia.com: 82
- hightouch.com: 80
- improvado.io: 71
- aboutmartech.com: 67
- datachannel.co: 63
- hevodata.com: 60
- leadjourney.io: 52
- toolradar.com: 52
- g2.com: 51

### Pages cited

- https://skyvia.com/blog/best-reverse-etl-tools: 59
- https://leadjourney.io/blog/best-marketing-data-warehouse: 52
- https://datachannel.co/blogs/top-reverse-etl-tools-2024: 49
- https://hevodata.com/etl-tools/reverse-etl: 49
- https://toolradar.com/guides/best-reverse-etl-tools: 46
- https://darwinapps.com/blog/9-best-reverse-etl-tools-for-crm-and-ad-platform-sync-in-2026: 43
- https://improvado.io/blog/best-reverse-etl-tools: 39
- https://zoho.com/dataprep/top-reverse-etl-tools.html: 39

## The company

Snowflake Inc.; https://www.snowflake.com; San Mateo, United States; founded 2012; about 1,400 employees (2019); public, SNOW on New York Stock Exchange. From Wikidata, fetched 2026-09-14.

## In its own words

What Snowflake's own pages state, read 2026-09-28. Stated by the vendor, not checked by the index.

- Positioning: The Snowflake AI Data Cloud - Mobilize Data, Apps, and AI (https://snowflake.com/)
- For: organizations (https://snowflake.com/)
- Price stated: Discover Snowflake pricing editions tailored to your security and compliance needs. Discover how you only pay for the storage and compute resources you use. (https://www.snowflake.com/pricing/?lang=ja)
- Free plan or trial: start for free (https://snowflake.com/)
- Customers named: Under Armour, Novo Nordisk, United Rentals, Booking.com, Fanatics, AT&T, Canva, Penske

## What it publishes

Every page snowflake.com exposes, read 2026-09-29: 11795 addresses. By kind, pages and the last 90 days:

- blog: 1589 pages, 7 in the last 90 days, latest 2026-09-28
- case study: 386 pages, 0 in the last 90 days, latest undated
- webinar or virtual event: 633 pages, 1 in the last 90 days, latest 2026-09-11
- conference or event: 139 pages, 9 in the last 90 days, latest 2026-10-27
- report or ebook: 900 pages, 0 in the last 90 days, latest undated
- comparison: 18 pages, 1 in the last 90 days, latest 2026-09-03
- template or tool: 5 pages, 0 in the last 90 days, latest 2025-12-09
- glossary or explainer: 131 pages, 0 in the last 90 days, latest 2026-04-02
- podcast or video: 315 pages, 0 in the last 90 days, latest undated
- news or press: 242 pages, 0 in the last 90 days, latest undated
- Recent: 2026-10-27 conference or event: Rotterdam https://www.snowflake.com/en/world-tour/rotterdam
- Recent: 2026-10-15 conference or event: New York City https://www.snowflake.com/en/world-tour/nyc
- Recent: 2026-09-30 conference or event: London https://www.snowflake.com/en/world-tour/london
- Recent: 2026-09-29 conference or event: Toronto https://www.snowflake.com/en/world-tour/toronto
- Recent: 2026-09-29 conference or event: Berlin https://www.snowflake.com/en/world-tour/berlin
- Recent: 2026-09-28 blog: Scaling mission ai lessons public sector https://www.snowflake.com/en/blog/scaling-mission-ai-lessons-public-sector/

## Record

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