Identity resolution · November 2026 Edition
Zingg vs Senzing
Zero of fourteen models named Zingg first on the direct prompt; zero named Senzing. Zingg was named by ten of the fourteen models and Senzing by nine and Zingg carries 12 labels and Senzing 13, so the shares are not directly comparable.
Named in one category this edition.
Las Vegas, United States. Named in one category this edition.
First-choice share6%2%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate8%15%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#4#6A position in a field of 17; printed, not drawn.
Labels1213A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Zingg reading right to left. Rank and label count are printed, not drawn.Hightouch Adaptive Identity Resolution vs Zingg · Hightouch Adaptive Identity Resolution vs Senzing · FullContact vs Zingg
Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all fourteen models, for a mid-market B2B company; rank is within the category; every quote names the model and the prompt it came from. Both figures come from the identity resolution page.
By framing
How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
ZinggFirst choices, of fourteen modelsSenzing
Direct001 against Senzing
Paraphrase00
Comparative00
Budget-constrained311 against Zingg · 1 against Senzing
Scale-constrained00
Negative00
Bars are first choices, 0 to 14 each sideModels that argued againstA model can name both, so the two sides of a row do not sum to fourteen.
Every model, every framing
The eighty-four answers behind the chart above, one cell each: where Zingg and Senzing stood in it.
| Model | Direct | Paraphrase | Comparative | Budget-constrained | Scale-constrained | Negative |
|---|---|---|---|---|---|---|
| Claude Haiku 4.5 | | | ||||
| GPT-5.4 mini | ||||||
| Gemini 3.5 Flash | | | | |||
| Perplexity Sonar | ||||||
| Grok 4.20 | | | | |||
| Mistral Small | | | ||||
| DeepSeek V4 Flash | | |||||
| Llama 4 Maverick | | |||||
| Qwen 3.7 Flash | | |||||
| Kimi K2 | | |||||
| GLM 4.7 FlashX | ||||||
| MiniMax M2.5 | ||||||
| GPT-6 Luna | | |||||
| Muse Glimmer 30B | |
Zingg Senzing first choice named as an alternative argued againstblank: not namedEach cell is one answer, Zingg on the left and Senzing on the right.The direct prompt
The plain question, one answer per model, grouped by where Zingg and Senzing stood in it.
Neither was the first choice, one was named
1 of 14 modelsThe answer put something else first and named one of the two as an alternative.Qwen 3.7 FlashHightouch Adaptive Identity Resolution alternatives: Apollo.io, D&B Connect, Zingg
Neither was named
13 of 14 modelsThe answer made no first choice from these two in this category.Claude Haiku 4.5RB2B, Warmly alternatives: Amperity, CaliberMind, CustomerLabs 1PD Ops, Hightouch Adaptive Identity Resolution, Tealium
GPT-5.4 miniHightouch Adaptive Identity Resolution alternatives: Amperity, Leadspace, Salesforce Data Cloud
Gemini 3.5 FlashHubSpot Breeze Intelligence, ZoomInfo alternatives: 6sense, Apollo.io, Leadspace
Perplexity SonarTwilio Segment Unify alternatives: Hightouch Adaptive Identity Resolution, Leadspace, Prospeo, RudderStack Profiles
Grok 4.20FullContact alternatives: Amperity, Dun & Bradstreet, LiveRamp Identity Resolution, Twilio Segment Unify
Mistral SmallWarmly alternatives: Dun & Bradstreet, Informatica MDM, Tealium
DeepSeek V4 FlashHightouch Adaptive Identity Resolution alternatives: FullContact, Prospeo, mParticle IDSync
Llama 4 MaverickHightouch Adaptive Identity Resolution
Kimi K2Twilio Segment Unify alternatives: BlueConic, D&B Connect
GLM 4.7 FlashXOppora, Tomba alternatives: Leadspace
MiniMax M2.5Leadspace alternatives: D&B Connect, FullContact
GPT-6 LunaHubSpot Breeze Intelligence alternatives: Demandbase, RB2B, Twilio Segment Unify
Muse Glimmer 30BHightouch Adaptive Identity Resolution, Warmly alternatives: CustomerLabs 1PD Ops, FullContact, Prospeo
Bold names in an answer are the products the judge labeled a first choice; a model naming several gives each of them that label. The full answer text for every row is in the record.
By buyer segment
The same question asked on behalf of a different buyer. Each standing is computed within its segment and they are never added together. The figures above are the mid-market standing, which is the one the category orders by.
Small business
Mid-marketThe figures above
Enterprise
Level: the same share of first choices.
Zingg0%#– of 13Senzing0%#6 of 13What the models said about Zingg
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Four of five in this category shown.
“if your team doesn't have the engineering bandwidth, Zingg requires ongoing investment to build labeled training data” Claude Haiku 4.5 · budget prompt · soft negative
“Ranked as the top free, open-source identity resolution platform, making it ideal for budget-conscious organizations.” Mistral Small · budget prompt · first choice
“Zingg (Best for ML & Fuzzy Matching): ... Cost: Free & Open Source.” Gemini 3.5 Flash · budget prompt · first choice
“Best Free Option: Zingg ... free, most powerful long-term” Kimi K2 · budget prompt · first choice
What the models said about Senzing
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Five of six in this category shown.
“Senzing: $58,560+ starting price” Kimi K2 · budget prompt · hard negative
“better for data-heavy ops teams, but potentially overkill or pricier” Grok 4.20 · direct prompt · soft negative
“Hightouch or Senzing offer the best combination of capability, scalability, and affordability” DeepSeek V4 Flash · budget prompt · first choice
“Senzing offers entity-centric, evidence-based resolution with embedded SDK for self-managed deployment” Claude Haiku 4.5 · comparative prompt · alternative
“Select Senzing or Tilores if you are a software team building application-level identity logic” Gemini 3.5 Flash · comparative prompt · alternative
Also compared
Hightouch Adaptive Identity Resolution vs ZinggHightouch Adaptive Identity Resolution vs SenzingFullContact vs ZinggFullContact vs SenzingTwilio Segment Unify vs ZinggTwilio Segment Unify vs SenzingZingg vs Salesforce Data CloudZingg vs mParticle IDSyncSalesforce Data Cloud vs SenzingSenzing vs mParticle IDSyncAll twenty-one head-to-head pages and the full identity standing
Comparisons are drawn for the top eight products in each category, each against each. The output is the models' output; nothing here is a recommendation by the index.