# Datafold: how AI models rank it, November 2026

Gane Index, November 2026 Edition. Named in 10 judge labels across 2 categories by 6 of 14 models. Page: https://www.gane.ai/index/it/vendors/datafold

## Standing by category

| Category | Share | Rank | Negative rate | Labels |
|---|---|---|---|---|
| [Data catalogs and governance](https://www.gane.ai/index/it/it-data/data-catalogs-and-governance/index.md) | 2% | 13 | 0% | 1 |
| [Data quality and observability](https://www.gane.ai/index/it/it-data/data-quality-and-observability/index.md) | 0% | 28 | 22% | 9 |

## What the models said for it

- "Option A: Modern Agile Tools (Recommended)
*Examples: Atlan, Monte Carlo, Datafold, Immuta.*" (Qwen 3.7 Flash, Data catalogs)
- "Specifically strong if you use CI/CD (GitHub Actions/GitLab)." (Qwen 3.7 Flash, Data observability)
- "Catch problems before they hit production | Datafold" (Qwen 3.7 Flash, Data observability)
- "Datafold: testing / diffing / transformation assurance." (GPT-5.4 mini, Data observability)

## And against it

- "Emerging or niche tools (e.g., older mentions of Bigeye, Acceldata, Databand): These have fewer public complaints but mixed adoption." (Grok 4.20, Data observability)
- "can be a good fit for diffing and analytical data validation, but be cautious if you need broad, always-on observability" (GPT-5.4 mini, Data observability)

## By model

| Model | First choice | Alternative | Mention | Warning | Labels |
|---|---|---|---|---|---|
| Claude Haiku 4.5 | 0 | 0 | 1 | 0 | 1 |
| GPT-5.4 mini | 0 | 1 | 0 | 1 | 2 |
| Gemini 3.5 Flash | 0 | 0 | 0 | 0 | 0 |
| Perplexity Sonar | 0 | 0 | 0 | 0 | 0 |
| Grok 4.20 | 0 | 0 | 1 | 1 | 2 |
| Mistral Small | 0 | 0 | 0 | 0 | 0 |
| DeepSeek V4 Flash | 0 | 1 | 0 | 0 | 1 |
| Llama 4 Maverick | 0 | 0 | 0 | 0 | 0 |
| Qwen 3.7 Flash | 1 | 2 | 0 | 0 | 3 |
| Kimi K2 | 0 | 0 | 0 | 0 | 0 |
| GLM 4.7 FlashX | 0 | 0 | 1 | 0 | 1 |
| 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 Datafold, from 21 of the 25 answers that named it (only the models that return a source list).

### Domains cited

- research.isg-one.com: 14
- datakitchen.io: 8
- datastackindex.com: 8
- g2.com: 8
- integrate.io: 7
- dqlabs.ai: 5
- getorchestra.io: 5
- techtarget.com: 5
- vibereference.com: 5
- algoscale.com: 4

### Pages cited

- https://research.isg-one.com/buyers-guide/analytics_and_data/data_observability/2024: 12
- https://research.isg-one.com/market-perspectives/isg-buyers-guide-for-data-observability-classifies-and-rates-software-providers: 10
- https://integrate.io/blog/top-data-observability-tools: 7
- https://techtarget.com/news/7-expert-recommended-data-observability-tools/842088: 5
- https://vibereference.com/backend-and-data/data-observability-platforms: 5
- https://algoscale.com/data-engineering/best-data-observability-tools: 4
- https://ciopages.com/buyer-guides/data-quality-observability: 4
- https://datamation.com/big-data/data-observability-tools: 4

## In its own words

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

- Positioning: The data engineering automation platform. AI-powered migrations delivered in weeks with guaranteed outcomes, plus data quality tools for CI/CD testing, monitoring, and AI agent integrations via MCP. (https://datafold.com/)
- For: data teams (https://datafold.com/)
- Price stated: Transparent pricing based on # of objects, timeline and quality contractually ensured. (https://datafold.com/)
- Certifications: SOC 2, HIPAA, GDPR
- Hosting: AWS, GCP, Azure
- Customers named: CHG Healthcare, Faire, Eventbrite, Rocket Money, AstraZeneca, Evri, Typeform, Moody's

## What it publishes

Every page datafold.com exposes, read 2026-10-05: 573 addresses. By kind, pages and the last 90 days:

- blog: 179 pages, 0 in the last 90 days, latest 2026-05-08
- case study: 24 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: 22 pages, 0 in the last 90 days, latest 2023-05-11
- report or ebook: 1 pages, 0 in the last 90 days, latest 2023-09-22
- comparison: 16 pages, 0 in the last 90 days, latest 2025-06-27
- template or tool: 2 pages, 0 in the last 90 days, latest 2025-01-07
- glossary or explainer: 12 pages, 0 in the last 90 days, latest 2025-02-18
- podcast or video: 4 pages, 0 in the last 90 days, latest 2024-04-01
- news or press: 2 pages, 0 in the last 90 days, latest undated
- Recent: 2026-05-08 blog: 9 ways to screw up data migration https://www.datafold.com/blog/9-ways-to-screw-up-data-migration
- Recent: 2026-04-13 blog: Datafold joins databricks delivery provider program https://www.datafold.com/blog/datafold-joins-databricks-delivery-provider-program
- Recent: 2026-04-03 blog: The modern data stack open source edition https://www.datafold.com/blog/the-modern-data-stack-open-source-edition
- Recent: 2026-03-19 blog: Informatica to databricks migration guide https://www.datafold.com/resources/informatica-to-databricks-migration-guide
- Recent: 2026-03-19 blog: Informatica to snowflake migration guide https://www.datafold.com/resources/informatica-to-snowflake-migration-guide
- Recent: 2026-03-19 blog: Ssis to snowflake migration guide https://www.datafold.com/resources/ssis-to-snowflake-migration-guide

## 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.