# Zingg: how AI models rank it, November 2026

Gane Index, November 2026 Edition. Named in 12 judge labels across 1 category by 10 of 14 models. Page: https://www.gane.ai/index/gtm/vendors/zingg

## Standing by category

| Category | Share | Rank | Negative rate | Labels |
|---|---|---|---|---|
| [Identity resolution](https://www.gane.ai/index/gtm/gtm-data/identity-resolution/index.md) | 6% | 5 | 8% | 12 |

## What the models said for it

- "Ranked as the top free, open-source identity resolution platform, making it ideal for budget-conscious organizations." (Mistral Small, Identity)
- "Zingg (Best for ML & Fuzzy Matching): ... Cost: Free & Open Source." (Gemini 3.5 Flash, Identity)
- "Best Free Option: Zingg ... free, most powerful long-term" (Kimi K2, Identity)
- "Zingg Community may cost less in licensing: it's open source and supports entity matching, but you'll need to operate and maintain it yourself" (GPT-6 Luna, Identity)

## And against it

- "if your team doesn't have the engineering bandwidth, Zingg requires ongoing investment to build labeled training data" (Claude Haiku 4.5, Identity)

## By model

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

## Sources returned with these answers

The sites and pages cited by the answers that named Zingg, from 25 of the 25 answers that named it (only the models that return a source list).

### Domains cited

- g2.com: 15
- gane.ai/index: 14
- itechguides.com: 10
- tilores.io: 9
- usermaven.com: 9
- directmail.io: 8
- prospeo.io: 8
- acxiom.com: 7
- redpointglobal.com: 7
- sourceforge.net: 6

### Pages cited

- https://itechguides.com/best/identity-resolution-software: 10
- https://usermaven.com/blog/identity-resolution-software: 9
- https://directmail.io/blog/best-identity-resolution-platforms-2026: 8
- https://tilores.io/content/best-identity-resolution-platforms-2026: 8
- https://acxiom.com/wp-content/uploads/2025/08/martech-intelligence-report-identity-resolution-platforms.pdf: 7
- https://prospeo.io/s/identity-resolution-software: 7
- https://redpointglobal.com/blog/best-identity-resolution-platforms: 7
- https://g2.com/categories/identity-resolution: 6

## In its own words

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

- Positioning: Open Source Master Data Management (MDM) for entity resolution and golden record. (https://www.zingg.ai/)
- For: Data leaders globally (https://zingg.ai/)
- Customers named: Fortnum & Mason, Orthodox Union, Redica Systems, Canadian Football League, CrossroadsCX, DMG Events, Blue Pencil

## What it publishes

Every page zingg.ai exposes, read 2026-10-05: 314 addresses. By kind, pages and the last 90 days:

- blog: 47 pages, 0 in the last 90 days, latest undated
- case study: 27 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: 15 pages, 0 in the last 90 days, latest 2022-06-22
- report or ebook: 9 pages, 0 in the last 90 days, latest undated
- comparison: 15 pages, 0 in the last 90 days, latest 2024-03-16
- template or tool: 3 pages, 0 in the last 90 days, latest 2024-11-28
- glossary or explainer: 1 pages, 0 in the last 90 days, latest 2025-05-12
- Recent: 2025-05-12 glossary or explainer: What is in a name https://www.learningfromdata.zingg.ai/p/what-is-in-a-name
- Recent: 2024-11-28 template or tool: Spark cluster checklist https://docs.zingg.ai/latest/stepbystep/installation/installing-from-release/spark-cluster-checklist
- Recent: 2024-03-16 comparison: Deterministic matching vs probabilistic https://www.learningfromdata.zingg.ai/p/deterministic-matching-vs-probabilistic
- Recent: 2022-06-22 conference or event: Conference time https://www.learningfromdata.zingg.ai/p/conference-time

## 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.