Identity resolution · RankedZingg
Zingg is an open-source identity resolution tool that uses machine learning to match records across modern data platforms · zingg.ai ↗
Read the same way at every company size.
The standing depends on who is buying. Every model is asked the same questions for each company size.
FullContact is first at 30%.
Hightouch Adaptive Identity Resolution is first at 28%. 0 of 14 models made it the first choice when asked directly.
Salesforce Data Cloud is first at 40%.
Why models recommend it
“Ranked as the top free, open-source identity resolution platform, making it ideal for budget-conscious organizations.”Mistral Small · Budget-constrained question · first choice
“Zingg (Best for ML & Fuzzy Matching): ... Cost: Free & Open Source.”Gemini 3.5 Flash · Budget-constrained question · first choice
“Best Free Option: Zingg ... free, most powerful long-term”Kimi K2 · Budget-constrained question · first choice
“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 · Budget-constrained question · alternative
What gives them pause
“if your team doesn't have the engineering bandwidth, Zingg requires ongoing investment to build labeled training data”Claude Haiku 4.5 · Budget-constrained question · warning
Also on the shortlist
The products named in the same answers as Zingg, over the 25 answers that named it, and how often each was the first choice instead.
| Product | Named together | Picked instead | |
|---|---|---|---|
| 15 | 5 | Compare → | |
| 14 | 3 | View → | |
| 12 | 2 | View → | |
| 11 | 0 | Compare → | |
| 9 | 3 | Compare → | |
| 9 | 0 | View → | |
| 9 | 0 | Compare → | |
| 8 | 3 | Compare → | |
| 8 | 0 | View → | |
| 7 | 0 | View → |
What the models named instead of Zingg →
A side-by-side page exists where both products are among a category's top eight.
At a glance
Stated on Zingg's own site, not checked by Gane.
- For
- Data leaders globally
- Customers named
- Fortnum & Mason, Orthodox Union, Redica Systems, Canadian Football League, CrossroadsCX, DMG Events, Blue Pencil
How this is measured
Fourteen AI models from 12 labs are asked the same buying questions six ways, for three company sizes. Standings refresh every edition.
Gane sells AI visibility software. No company can pay to change a result.
Read the method →Sources returned with these answers
Fourteen of the fourteen models returned a source list in this edition: five return the pages they cited and nine the search results they consulted. These counts come from 25 of the 25 answers that named Zingg and are not a share of its labels.
Domains cited
Seventy-nine of the ninety-three domain citations in answers naming Zingg came from a third party's page. Fourteen were to the publisher's own pages (the Gane Index), which the models cite like any other source; they are not counted as a third party.
Pages cited
Pages are listed as the models cited them.
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 |
What it publishes
| Kind | Pages | Last 90 days | 2025-11 to 2026-10 | Latest | Categories named |
|---|---|---|---|---|---|
| Blog | 47 | undated | Identity, CDP | ||
| Case study | 27 | undated | Identity, CDP | ||
| Conference or event | 15 | 0 | 2022-06-22 | Identity | |
| Comparison | 15 | 0 | 2024-03-16 | CDP, Identity | |
| Report or ebook | 9 | undated | Identity, CDP | ||
| Template or tool | 3 | 0 | 2024-11-28 | ||
| Webinar or virtual event | 1 | undated | |||
| Glossary or explainer | 1 | 0 | 2025-05-12 |
Most recent
- 2025-05-12What is in a name glossary or explainer
- 2024-11-28Spark cluster checklist template or tool
- 2024-03-16Deterministic matching vs probabilistic comparison
- 2022-06-22Conference time conference or event
How it is countedHide how it is counted
Every page zingg.ai exposes, subdomains included. Kind is read from the address and title. The last 90 days, the latest date and the twelve months count pages by when they were published, from the site's feeds, a date in the address, or the page's own publication date, read from up to a hundred of its most recently changed pages; a page that says only when it last changed is counted in its kind but not in when, so the recent counts are a floor, and a kind none of whose pages gives a publication date reads undated. An event counts as online when its address or title says so (webinar, on demand, virtual or online summit); a conference, summit, trade show, expo or roadshow that does not say so is counted as a conference or event, which on a vendor's site is mostly in person. Read October 5, 2026.