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Identity resolution · November 2026 Edition

Zingg vs mParticle IDSync

Zero of fourteen models named Zingg first on the direct prompt; zero named mParticle IDSync. Zingg was named by ten of the fourteen models and mParticle IDSync by seven and Zingg carries 12 labels and mParticle IDSync 10, so the shares are not directly comparable.

Zingg

accepted challenger

Named in one category this edition.

mParticle IDSync

accepted challenger

By mparticle. 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%20%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#4#7A position in a field of 17; printed, not drawn.
Labels1210A 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 mParticle IDSync · 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 modelsmParticle IDSync
Direct00
Paraphrase00
Comparative001 against mParticle IDSync
Budget-constrained301 against Zingg
Scale-constrained01
Negative001 against mParticle IDSync
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 mParticle IDSync stood in it.
ModelDirectParaphraseComparativeBudget-constrainedScale-constrainedNegative
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 mParticle IDSync first choice named as an alternative argued againstblank: not namedEach cell is one answer, Zingg on the left and mParticle IDSync on the right.

The direct prompt

The plain question, one answer per model, grouped by where Zingg and mParticle IDSync stood in it.

Neither was the first choice, one was named

2 of 14 modelsThe answer put something else first and named one of the two as an alternative.
DeepSeek V4 FlashHightouch Adaptive Identity Resolution alternatives: FullContact, Prospeo, mParticle IDSync
Qwen 3.7 FlashHightouch Adaptive Identity Resolution alternatives: Apollo.io, D&B Connect, Zingg

Neither was named

12 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
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
Zingg leads by two points.
Zingg2%#– of 12
mParticle IDSync0%#– of 12
The full small business standing →
Mid-marketThe figures above
Zingg leads by four points.
Zingg6%#4 of 17
mParticle IDSync2%#7 of 17
The full mid-market standing →
Enterprise
Level: the same share of first choices.
Zingg0%#– of 13
mParticle IDSync0%#– of 13
The full enterprise standing →

What 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 mParticle IDSync

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Five of five in this category shown.

“Choose a broader enterprise CDP like Tealium or mParticle if you want an all-in-one suite and can accept more vendor-managed logic.” GPT-5.4 mini · comparative prompt · soft negative
“Require significant engineering resources to implement and maintain” Kimi K2 · negative prompt · soft negative
“Look at vendors with flexible pricing and strong martech integrations like mParticle, Segment, or Optimove.” Grok 4.20 · scale prompt · first choice
“Choose mParticle if real-time event-level identity for product personalization is your priority.” DeepSeek V4 Flash · comparative prompt · alternative
“Strong Alternative for Product-Led or Multi-Channel B2B: mParticle” DeepSeek V4 Flash · direct prompt · alternative
Also compared

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.