CRM data quality and deduplication for enterprise buyers
Asked as “CRM data quality and deduplication tool”, and as “CRM data cleansing tool”, on behalf of an enterprise B2B company. 57 first choices recorded across the direct, paraphrase, budget and scale prompts, fourteen models each.
Standing · first-choice share
33%
Contested · Cloudingo 19%
33DemandTools19Cloudingo09Openprise39others
33% of first choices, contested.
Since September 2026▲+6Since September 2026: 27% → 33%, +6 points. Inside the 11-point floor: within noise. Read over the models both editions asked.DemandTools held the lead, +6 points on 27%, inside the 11-point floor.
By buyer segment
The same question asked on behalf of a different buyer. Each standing is computed within its segment; they sit side by side and are never added together.
Small business
Insycle39%Contested▲+7Since September 2026: 30% → 37%, +7 points. Inside the 11-point floor: within noise. Read over the models both editions asked.Standing →Mid-marketInsycle43%Clear leader▲+10Since September 2026: 34% → 44%, +10 points. Inside the 11-point floor: within noise. Read over the models both editions asked.Standing →Enterprise
DemandTools33%Contested▲+6Since September 2026: 27% → 33%, +6 points. Inside the 11-point floor: within noise. Read over the models both editions asked.This page
Insycle39%Contested▲+7Since September 2026: 30% → 37%, +7 points. Inside the 11-point floor: within noise. Read over the models both editions asked.Standing →Mid-marketInsycle43%Clear leader▲+10Since September 2026: 34% → 44%, +10 points. Inside the 11-point floor: within noise. Read over the models both editions asked.Standing →EnterpriseDemandTools33%Contested▲+6Since September 2026: 27% → 33%, +6 points. Inside the 11-point floor: within noise. Read over the models both editions asked.This pageThe standing
Share is the count of first choices across the direct, paraphrase, budget and scale prompts, over all fourteen models, for an enterprise B2B company. Ordered by share.
ProductFirst-choice shareNegative rateLabelsQuadrantSince September 2026
01DemandTools33%21%63endorsed leader▲+6Since September 2026: 27% → 33%, +6 points. Inside the 11-point floor: within noise. Read over the models both editions asked.27% → 33%
DemandTools33%21%63endorsed leader▲+6Since September 2026: 27% → 33%, +6 points. Inside the 11-point floor: within noise. Read over the models both editions asked.27% → 33%02
Cloudingo19%17%41accepted challenger▲+15Since September 2026: 5% → 21%, +15 points. Past the 11-point floor: movement. Read over the models both editions asked.5% → 21%
Cloudingo19%17%41accepted challenger▲+15Since September 2026: 5% → 21%, +15 points. Past the 11-point floor: movement. Read over the models both editions asked.5% → 21%03
Openprise9%0%16accepted challenger▲+3Since September 2026: 5% → 8%, +3 points. Inside the 11-point floor: within noise. Read over the models both editions asked.5% → 8%
Openprise9%0%16accepted challenger▲+3Since September 2026: 5% → 8%, +3 points. Inside the 11-point floor: within noise. Read over the models both editions asked.5% → 8%04Insycle5%24%29accepted challenger▼−1Since September 2026: 7% → 6%, −1 point. Inside the 11-point floor: within noise. Read over the models both editions asked.7% → 6%
Insycle5%24%29accepted challenger▼−1Since September 2026: 7% → 6%, −1 point. Inside the 11-point floor: within noise. Read over the models both editions asked.7% → 6%05
Informatica Data Quality4%26%38criticized challenger▼−14Since September 2026: 16% → 2%, −14 points. Past the 11-point floor: movement. Read over the models both editions asked.16% → 2%
Informatica Data Quality4%26%38criticized challenger▼−14Since September 2026: 16% → 2%, −14 points. Past the 11-point floor: movement. Read over the models both editions asked.16% → 2%06
Plauti Deduplicate2%0%10accepted challenger=heldSince September 2026: 2% → 2%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.2% → 2%
Plauti Deduplicate2%0%10accepted challenger=heldSince September 2026: 2% → 2%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.2% → 2%07
ZoomInfo2%14%14accepted challenger=heldSince September 2026: 2% → 2%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.2% → 2%
ZoomInfo2%14%14accepted challenger=heldSince September 2026: 2% → 2%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.2% → 2%08
ZoomInfo Operations2%32%25criticized challenger▼−11Since September 2026: 13% → 2%, −11 points. Inside the 11-point floor: within noise. Read over the models both editions asked.13% → 2%
ZoomInfo Operations2%32%25criticized challenger▼−11Since September 2026: 13% → 2%, −11 points. Inside the 11-point floor: within noise. Read over the models both editions asked.13% → 2%Show the three products at 0%, ordered by negative rate
10
Ataccama ONE0%7%15accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%
Ataccama ONE0%7%15accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%09
Cleanlist0%0%12accepted challenger▼−2Since September 2026: 2% → 0%, −2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.2% → 0%
Cleanlist0%0%12accepted challenger▼−2Since September 2026: 2% → 0%, −2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.2% → 0%11
Cognism0%0%12accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%
Cognism0%0%12accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%The floor is 11 points of share, measured: how far the models move a leader on their own when the same questions are asked twice with nothing changed. A larger change is movement; a smaller one is noise, and both are shown. Movement is read over the twelve models both editions asked; GPT-6 Luna, Muse Glimmer 30B joined this edition and are in the standing but not yet in the comparison. How the floor is measured
Bars are the share of first choices, 0 to 100Every product with at least 10 labels here. Every product name links to its product page.
All twenty-one head-to-head pages: the top seven products, each against each
Insycle vs CloudingoInsycle vs DataGroomrInsycle vs ZoomInfo OperationsDedupely vs DemandToolsDedupely vs CleanlistDedupely vs CloudingoDedupely vs DataGroomrDedupely vs ZoomInfo OperationsDemandTools vs CleanlistDemandTools vs CloudingoDemandTools vs DataGroomrDemandTools vs ZoomInfo OperationsCleanlist vs CloudingoCleanlist vs DataGroomrCleanlist vs ZoomInfo OperationsCloudingo vs DataGroomrCloudingo vs ZoomInfo OperationsDataGroomr vs ZoomInfo Operations
Recommended versus criticized
Every product with at least 10 labels here, on both axes. The 30% line names a quadrant, not the verdict above: that one needs more than 40%.
Criticized challengerCriticized default
Negative label rate →
0102030405060708091011Accepted challengerEndorsed leader
0%First-choice share → · lines at 30% share and 25% negative50%
Key
01DemandTools33%
DemandTools33%02Cloudingo19%
Cloudingo19%03Openprise9%
Openprise9%04Insycle5%
Insycle5%05Informatica Data Quality4%
Informatica Data Quality4%06Plauti Deduplicate2%
Plauti Deduplicate2%07ZoomInfo2%
ZoomInfo2%08ZoomInfo Operations2%
ZoomInfo Operations2%09Cleanlist0%
Cleanlist0%10Ataccama ONE0%
Ataccama ONE0%11Cognism0%
Cognism0%What they warned about
Zero of fourteen models held their first choice under the paraphrase. Claude Haiku 4.5, GPT-5.4 mini, Gemini 3.5 Flash, Perplexity Sonar, Grok 4.1 Fast, Mistral Small, DeepSeek V4 Flash, Llama 4 Maverick, Qwen 3.7 Flash, Kimi K2, GLM 4.7 FlashX, MiniMax M2.5, GPT-6 Luna and Muse Glimmer 30B changed. A high negative share on a product with few labels is a warning. A low share on a product with many labels is salience, not sentiment.
DemandTools21%
13 of 63 labels negative · 9 of 14 models · 5 hard negative
“Avoid for Large User Counts- **DemandTools (Validity)**: ~$11/month per CRM license × thousands of users = massive cost” MiniMax M2.5, budget prompt
Informatica Data Quality26%
10 of 38 labels negative · 8 of 14 models · 1 hard negative
“**Informatica**: $50K-$200K+/year (enterprise-grade, but overkill and requires developers)” MiniMax M2.5, budget prompt
Cloudingo17%
7 of 41 labels negative · 7 of 14 models · 2 hard negative
“"What to Avoid: Basic packages of tools like Cloudingo or other CRM-native plugins that lack robust API orchestration capabilities"” Muse Glimmer 30B, negative prompt
ZoomInfo Operations32%
8 of 25 labels negative · 6 of 14 models · 2 hard negative
“Avoid for Large User Counts... **RingLead/ZoomInfo Operations**: $25K-$85K/year with custom pricing” MiniMax M2.5, budget prompt
What they cite
Citations exist only for the models that return a source list: fourteen of the fourteen in this edition, and all six flagship models on the expanded tier.
Sites the answers cite
82 of 84 answers in this category came back with a source list, from 14 of 14 models: citations where the model returns them, or the search results it consulted. 1236 links across 280 sites, every framing counted. Ranked by the number of answers carrying the site or page. 45 of the 252 answers across every segment cited this index's own page for the category; the method page measures whether that reading tilts an answer.
vendor site · Cleanlist59 answers · 96 citations · 12 models
vendor site · Cognism50 answers · 86 citations · 12 models
vendor site · ZoomInfo43 answers · 70 citations · 11 models
vendor site · SyncMatters33 answers · 36 citations · 12 models
32 answers · 57 citations · 13 models
vendor site · Integrate31 answers · 41 citations · 11 models
vendor site · Data Ladder26 answers · 40 citations · 12 models
24 answers · 29 citations · 10 models
vendor site · Prospeo23 answers · 28 citations · 9 models
vendor site · Clearout23 answers · 24 citations · 10 models
vendor site · Findymail23 answers · 24 citations · 11 models
22 answers · 31 citations · 10 models
Pages the answers cite
The ten pages named in the most answers, by full address. A page here is one the models returned with a recommendation, not one the index endorses.
53 answers · 12 models
31 answers · 10 models
28 answers · 10 models
28 answers · 10 models
26 answers · 10 models
26 answers · 12 models
25 answers · 12 models
23 answers · 11 models
22 answers · 10 models
21 answers · 10 models
Search against answers
Each company's standing in the answers beside its site's footprint in Google search, one row a site: the products the models named on it with their shares, and the share they add up to; monthly searches on Google, and DataForSEO's estimate of AI search demand (modeled from search signals, directional, not a count of queries to any assistant), for the most-searched of the company's and its products' names (the name is in each row's hover text); estimated monthly organic visits to the site; and its best position in Google's top ten for “best crm data quality and deduplication tool”, “crm data quality and deduplication tool”. US estimates from DataForSEO and Google's Ads Transparency Center. A small company's site, or a mid-sized company's site for its flagship, is marked company; a product on a large parent's site (Google, Microsoft) has no site figures. A column with no figures for this category is left out, and an empty cell means none were seen, not none exist. Two measurements side by side: neither is read as the cause of the other.
| Company and products | Share | Own site cited | Name searches, Google | AI search demand, est. | Organic visits | Paid search a month, est. | Google ads, last 30 days | Best Google position |
|---|---|---|---|---|---|---|---|---|
| DemandTools validity.com | 33% | 152 | 590 | 12 | 24,467 | $264 | 120 | |
| Cloudingo cloudingo.com | 19% | 93 | 590 | 4 | 271 | 75 | ||
| Openprise openprisetech.com | 9% | 39 | 590 | 4 | 509 | 1 | ||
| Insycle insycle.com | 5% | 123 | 480 | 4 | 13,246 | |||
| Informatica IDMC informatica.com Informatica Data Quality 4%, Informatica IDMC 2% | 5% | 69 | 210 | 13 | 73,321 | 120 | ||
| DataMatch Enterprise | 4% | |||||||
| LeadAngel leadangel.com | 4% | 93 | 90 | 0 | 369 | 0 | ||
| ZoomInfo zoominfo.com ZoomInfo 2%, ZoomInfo Clean 2% | 4% | 846 | 135,000 | 1,810 | 6,376,738 | $1,140 | 120 | |
| ZoomInfo parent site ZoomInfo Operations 2%, ZoomInfo OperationsOS 2% | 4% | 69 | 135,000 | 1,810 | ||||
| Plauti Deduplicate plauti.com | 2% | 23 | 70 | 2 | 674 | $124 | 24 | 2 |
Google's top ten for the two searches hold 15 sites; 3 of them are among the sites the models cited here (cleanlist.ai, integrate.io, syncmatters.com). The first result for “best crm data quality and deduplication tool” is transformsolution.com.
How they answered
Six framings of the same buying question, each sent to every model in a fresh session with search on. One row per model, so a row shows whether it held its answer under rewording, what it named when cost was the constraint, and what it argued against. Computed from the raw judge labels.ShowHide
How they answered
Six framings of the same buying question, each sent to every model in a fresh session with search on. One row per model, so a row shows whether it held its answer under rewording, what it named when cost was the constraint, and what it argued against. Computed from the raw judge labels.
ShowHideModelDirect“What is the best CRM data quality and deduplication tool for an enterprise B2B company?”Paraphrase“Which CRM data cleansing tool would you recommend to a large B2B company with thousands of employees?”Comparative“What are the top enterprise-grade CRM data quality tools and how do they differ?”Budget-constrained“What is the best CRM data quality and deduplication tool for a large company that needs predictable total cost across thousands of users?”Scale-constrained“We are a 5,000 person company with SSO, SOC 2 and procurement review requirements evaluating a CRM data quality and deduplication tool. What should we look at?”Negative“Which CRM data quality tools should a large enterprise avoid or be cautious about?”
Claude Haiku 4.5DemandToolsZoomInfo OperationsOSChangedagainst: Informatica Data QualityPrizm by DQLabsagainst: LushaIntegrate.ioagainst: Informatica Data Qualityno first choicenothing named
Four alternatives
DataMatch Enterprise, Insycle, Openprise, ZoomInfoTwo alternatives
DemandTools, LeadAngelFive alternatives
Cloudingo, Cognism, DemandTools, Informatica Data Quality, SyncMattersTwo alternatives
DemandTools, WinPure Clean & MatchGPT-5.4 miniDemandToolsInformatica IDMCChangedno first choiceDemandToolsno first choicenothing named
Three alternatives
DataMatch Enterprise, Informatica Data Quality, InsycleTwo alternatives
DemandTools, InsycleTwo alternatives
DataGroomr, Plauti DeduplicateGemini 3.5 FlashDemandToolsDemandTools, OpenpriseChangedno first choiceagainst: Informatica Intelligent Data Management CloudCloudingoagainst: DemandToolsCloudingoagainst: Apollo.io, HubSpot"s standard deduplication, Lusha, Microsoft Dynamics duplicate detection, Salesforce Duplicate Management, ZoomInfo
Four alternatives
Cloudingo, Insycle, Openprise, ZoomInfo OperationsThree alternatives
Informatica Data Quality, Insycle, ZoomInfo OperationsOSSix alternatives
Ataccama ONE, Cloudingo, DemandTools, Insycle, Openprise, SyncariThree alternatives
Duplicate Check, Insycle, Plauti DeduplicateThree alternatives
DemandTools, Insycle, OpenprisePerplexity SonarData LadderInformatica Data QualityChangedno first choiceOpenpriseagainst: Informatica Data Qualityno first choicenothing named
Three alternatives
Ataccama ONE, D&B Connect, Informatica Data QualityThree alternatives
DemandTools, Talend Data Quality, ZoomInfoGrok 4.1 FastDemandToolsagainst: Data Ladder, HubSpot Dedupe, Salesforce Duplicate Management, WinPure Clean & MatchInsycleChangedno first choiceCloudingoagainst: DemandTools, Insycle, ZoomInfo OperationsDemandTools, Insycle, ZoomInfo Operationsagainst: Cloudingo, Insycle, OpenRefine, Pandas, Trifacta Wrangler, ZoomInfo Operations
Two alternatives
Cloudingo, Informatica Data QualityFour alternatives
Cloudingo, Cognism, DemandTools, ZoomInfo OperationsOne alternative
DedupelyTwo alternatives
Cloudingo, OpenpriseMistral SmallCloudingo, DemandToolsLeadAngelChangedInformatica Data QualityOpenpriseno first choiceagainst: Ataccama ONE, Collibra Data Quality, Informatica Data Quality, SAP Data Services, Talend
One alternative
TofuTwo alternatives
Cleanlist, DemandToolsFour alternatives
Cloudingo, DemandTools, Insycle, SAP Data ServicesOne alternative
DemandToolsDeepSeek V4 FlashDataMatch Enterprise, DemandToolsagainst: InsycleDemandToolsChangedAtaccama ONE, Informatica Data Qualityagainst: ZoomInfo OperationsInsycleagainst: DemandTools, Informatica Data Qualityno first choiceagainst: Cloudingo, Informatica Data Quality, Insycleagainst: Apollo.io, Data8, DemandTools, HubSpot's native enrichment, OpenRefine, WinPure Clean & Match
Two alternatives
Openprise, ZoomInfo OperationsTwo alternatives
Informatica Data Quality, ZoomInfo OperationsThree alternatives
DemandTools, Insycle, OpenpriseOne alternative
Integrate.ioThree alternatives
DemandTools, WinPure Clean & Match, ZoomInfo OperationsLlama 4 Maverickno first choiceDemandToolsChangedno first choiceCloudingoHelloGrowthCRMagainst: Cloudingo, Insycle, OpenRefine, ZoomInfo Operations
Three alternatives
Cleanlist, IBM InfoSphere QualityStage, Informatica Data QualityTwo alternatives
Cleanlist, Talend Data QualityTwo alternatives
Cognism, Integrate.ioQwen 3.7 FlashCloudingo, DemandToolsagainst: ZoomInfo Clean Data ServiceZoomInfoChangedDataGroomr, DemandToolsPlauti Deduplicateagainst: DemandToolsno first choiceagainst: Cloudingo, DemandTools, Informatica Data Quality, OpenRefine, Oracle CDH, Pandas, SAP Data Services
Two alternatives
Cognism, MappiaTwo alternatives
DataGroomr, DatablistThree alternatives
Ataccama ONE, Informatica Intelligent Cloud Services, Oracle Enterprise Data QualityOne alternative
CloudingoKimi K2DemandToolsOpenpriseChangedInformatica Intelligent Data Management CloudCloudingoagainst: DemandTools, Talend Data Quality, ZoomInfo Operationsno first choiceagainst: Cloudingo, DataGroomr, DemandTools, OpenRefine, WinPure Clean & Match
Five alternatives
Cloudingo, Data Ladder, DataMatch Enterprise, Informatica Data Quality, ZoomInfo OperationsThree alternatives
DemandTools, Informatica Data Quality, ZoomInfo OperationsSeven alternatives
DataGroomr, DemandTools, IBM InfoSphere Information Server for Data Quality, Oracle Enterprise Data Quality, Plauti Deduplicate, SAP Data Services, TalendOne alternative
DataMatch EnterpriseGLM 4.7 FlashXCloudingo, DemandToolsSAP Data ServicesChangedInformatica Data Quality, Oracle Enterprise Data QualityDemandToolsno first choiceagainst: DemandTools, Insycle, SAS Viya
Three alternatives
DataMatch Enterprise, Insycle, Plauti DeduplicateFive alternatives
Cloudingo, DemandTools, Informatica InfoSphere QualityStage, Insycle, OpenpriseFive alternatives
Ataccama ONE, Cleanlist, DemandTools, HubSpot Breeze Intelligence, Talend Data QualityTwo alternatives
Data Ladder, DataGroomrMiniMax M2.5Cloudingo, DemandToolsLeadAngelChangedInformatica Data QualityCloudingo, Dedupelyagainst: DemandTools, Informatica Data Quality, ZoomInfo OperationsZoomInfo Cleannothing named
One alternative
InsycleThree alternatives
Cleanlist, Informatica Data Quality, ZoomInfoFive alternatives
Cloudingo, DemandTools, Insycle, Qlik Talend Data Quality, SAP Data QualityOne alternative
No DuplicatesTwo alternatives
Dedupely, InsycleGPT-6 LunaOpenpriseDemandToolsChangedCloudingo, DataGroomr, DemandTools, Plauti DeduplicateCloudingoSalesforce Duplicate Managementagainst: Informatica Data Qualityagainst: Cloudingo, DemandTools, Dynamics 365 duplicate detection, Salesforce Duplicate Management
Two alternatives
DemandTools, Salesforce Duplicate ManagementTwo alternatives
Cloudingo, Informatica Data QualityFour alternatives
Informatica MDM, Melissa Clean Suite for CRM, Reltio, Talend Data QualityOne alternative
DemandToolsThree alternatives
Cloudingo, DemandTools, Plauti DeduplicateMuse Glimmer 30BDemandTools, Informatica Data QualityDemandToolsChangedDemandToolsNo Duplicatesagainst: DemandTools, Informatica Data Quality, ZoomInfo OperationsDataMatch Enterpriseagainst: Apollo.io, Cloudingo, DemandTools, HubSpot Breeze Intelligence, Insycle, ZoomInfo, ZoomInfo Operations
Three alternatives
Cleanlist, IBM InfoSphere QualityStage, ZoomInfo OperationsTwo alternatives
Openprise, ZoomInfo OperationsFour alternatives
Cleanlist, Cloudingo, DataMatch Enterprise, Informatica Data QualityThree alternatives
Dedupely, Insycle, VerumTwo alternatives
Cloudingo, ZoomInfo OperationsBold is the first choiceAlternatives are counted; the count opens them.What the answer argued against
The record
One row per call: the version string exactly as returned, whether the model searched, sources cited, and latency. Full answer text is in the free responses file. Download the record
Eighty-four rows: every prompt, every model, every answer.
| Prompt | Model | Version string | Time (UTC) | Searched | Sources | Latency |
|---|---|---|---|---|---|---|
| Direct recommendation | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 09:39 | yes | 18 | 10 s |
| Direct recommendation | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 14:15 | yes | 4 | 5 s |
| Direct recommendation | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 10:14 | yes | 15 | 22 s |
| Direct recommendation | Perplexity Sonar | sonar | 2026-10-01 10:20 | yes | 18 | 3 s |
| Direct recommendation | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 11:43 | yes | 21 | 10 s |
| Direct recommendation | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 12:18 | yes | 10 | 5 s |
| Direct recommendation | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 10:03 | yes | 24 | 23 s |
| Direct recommendation | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 12:09 | yes | 5 | 2 s |
| Direct recommendation | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 08:05 | yes | 16 | 31 s |
| Direct recommendation | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 12:33 | yes | 18 | 32 s |
| Direct recommendation | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 11:33 | yes | 13 | 53 s |
| Direct recommendation | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 11:56 | yes | 15 | 20 s |
| Direct recommendation | GPT-6 Luna | gpt-6-luna | 2026-10-01 13:21 | yes | 3 | 13 s |
| Direct recommendation | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 12:27 | yes | 19 | 27 s |
| Paraphrase | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 11:34 | yes | 18 | 9 s |
| Paraphrase | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 12:57 | yes | 3 | 5 s |
| Paraphrase | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 09:22 | yes | 8 | 19 s |
| Paraphrase | Perplexity Sonar | sonar | 2026-10-01 10:50 | yes | 19 | 2 s |
| Paraphrase | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 07:45 | yes | 18 | 6 s |
| Paraphrase | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 13:54 | yes | 5 | 4 s |
| Paraphrase | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 08:36 | yes | 22 | 29 s |
| Paraphrase | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 08:56 | yes | 5 | 1 s |
| Paraphrase | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 13:12 | yes | 9 | 50 s |
| Paraphrase | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 11:58 | yes | 20 | 16 s |
| Paraphrase | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 11:46 | yes | 9 | 55 s |
| Paraphrase | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 14:11 | yes | 14 | 43 s |
| Paraphrase | GPT-6 Luna | gpt-6-luna | 2026-10-01 09:30 | yes | 3 | 13 s |
| Paraphrase | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 10:17 | yes | 20 | 30 s |
| Comparative | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 11:28 | yes | 17 | 10 s |
| Comparative | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 11:54 | yes | 6 | 15 s |
| Comparative | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 13:40 | yes | 24 | 36 s |
| Comparative | Perplexity Sonar | sonar | 2026-10-01 13:49 | yes | 18 | 8 s |
| Comparative | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 11:24 | yes | 18 | 10 s |
| Comparative | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 13:54 | yes | 6 | 9 s |
| Comparative | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 13:53 | yes | 22 | 49 s |
| Comparative | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 08:02 | yes | 5 | 1 s |
| Comparative | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 12:44 | yes | 14 | 30 s |
| Comparative | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 13:57 | yes | 22 | 36 s |
| Comparative | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 08:19 | yes | 21 | 75 s |
| Comparative | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 10:52 | yes | 16 | 30 s |
| Comparative | GPT-6 Luna | gpt-6-luna | 2026-10-01 10:01 | yes | 9 | 38 s |
| Comparative | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 09:37 | yes | 10 | 31 s |
| Budget constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 11:07 | yes | 17 | 9 s |
| Budget constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 13:45 | yes | 4 | 5 s |
| Budget constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 12:48 | yes | 23 | 34 s |
| Budget constrained | Perplexity Sonar | sonar | 2026-10-01 12:23 | yes | 24 | 3 s |
| Budget constrained | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 11:56 | yes | 22 | 7 s |
| Budget constrained | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 12:38 | yes | 18 | 8 s |
| Budget constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 11:21 | yes | 24 | 36 s |
| Budget constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 10:38 | yes | 5 | 1 s |
| Budget constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 12:30 | yes | 19 | 79 s |
| Budget constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 12:01 | yes | 24 | 39 s |
| Budget constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 09:30 | yes | 20 | 69 s |
| Budget constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 12:45 | yes | 20 | 59 s |
| Budget constrained | GPT-6 Luna | gpt-6-luna | 2026-10-01 13:10 | yes | 2 | 20 s |
| Budget constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 10:50 | yes | 17 | 27 s |
| Scale constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 07:45 | yes | 18 | 15 s |
| Scale constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 11:58 | no | 0 | 8 s |
| Scale constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 08:21 | yes | 16 | 30 s |
| Scale constrained | Perplexity Sonar | sonar | 2026-10-01 08:46 | yes | 20 | 6 s |
| Scale constrained | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 08:31 | yes | 18 | 8 s |
| Scale constrained | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 09:18 | no | 0 | 7 s |
| Scale constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 07:26 | yes | 21 | 75 s |
| Scale constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 11:44 | yes | 5 | 2 s |
| Scale constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 08:59 | yes | 17 | 51 s |
| Scale constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 10:26 | yes | 24 | 33 s |
| Scale constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 12:12 | yes | 22 | 97 s |
| Scale constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 08:32 | yes | 13 | 29 s |
| Scale constrained | GPT-6 Luna | gpt-6-luna | 2026-10-01 12:32 | yes | 6 | 21 s |
| Scale constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 07:57 | yes | 14 | 30 s |
| Negative framing | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 11:47 | yes | 25 | 12 s |
| Negative framing | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 08:09 | yes | 7 | 9 s |
| Negative framing | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 13:55 | yes | 21 | 35 s |
| Negative framing | Perplexity Sonar | sonar | 2026-10-01 11:51 | yes | 21 | 4 s |
| Negative framing | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 12:39 | yes | 21 | 9 s |
| Negative framing | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 09:03 | yes | 5 | 6 s |
| Negative framing | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 14:08 | yes | 22 | 49 s |
| Negative framing | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 12:22 | yes | 5 | 1 s |
| Negative framing | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 10:31 | yes | 10 | 44 s |
| Negative framing | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 09:32 | yes | 24 | 25 s |
| Negative framing | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 12:30 | yes | 20 | 74 s |
| Negative framing | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 07:43 | yes | 17 | 38 s |
| Negative framing | GPT-6 Luna | gpt-6-luna | 2026-10-01 12:52 | yes | 3 | 30 s |
| Negative framing | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 10:52 | yes | 22 | 33 s |
Normalization in this category
Every judgment call made between the raw labels and the numbers above, listed so it is visible and reversible.
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Category-scoped readings
Ataccama read as Ataccama ONE
Collibra read as Collibra Data Quality
Experian read as Experian Data Quality
Informatica read as Informatica Data Quality
Informatica (IDMC) read as Informatica Data Quality
Informatica Cloud Data Quality read as Informatica Data Quality
Native Salesforce Duplicate Management read as Salesforce Duplicate Management
Plauti read as Plauti Deduplicate
Qlik Talend read as Talend Data Quality
Salesforce read as Salesforce Duplicate/Matching Rules
Salesforce Duplicate Rules read as Salesforce Duplicate Management
WinPure read as WinPure Clean & Match
Unresolved, counted raw
Aqua
D&B
Dedup by Insycle
Dynamics 365 duplicate detection
HelloGrowthCRM
HubSpot Dedupe
HubSpot"s standard deduplication
HubSpot's native enrichment (formerly Clearbit/Breeze)
IBM InfoSphere Information Governance Catalog and Quality
IBM InfoSphere Information Server for Data Quality
Informatica InfoSphere QualityStage
Mappia
Melissa Clean Suite for CRM
Microsoft Dynamics duplicate detection
Oracle CDH
Oracle EDQ
Plauti Data Management (PDM)
Prizm by DQLabs
Qlik Talend Data Quality
Quest Data Intelligence
SAP
Salesforce native data quality tools
ZoomInfo Clean
ZoomInfo Clean Data Service
Discontinued, still offered
No shut-down product was recommended here.