CRM data quality and deduplication for small business buyers
Asked as “CRM data quality and deduplication tool”, and as “CRM data cleansing tool”, on behalf of a small B2B company. 54 first choices recorded across the direct, paraphrase, budget and scale prompts, fourteen models each.
Standing · first-choice share
39%
Contested · Dedupely 17%
39Insycle17Dedupely09Cleanlist35others
39% of first choices, contested.
Since September 2026▲+7Since September 2026: 30% → 37%, +7 points. Inside the 11-point floor: within noise. Read over the models both editions asked.Insycle held the lead, +7 points on 30%, 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.This pageMid-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.Standing →
Insycle39%Contested▲+7Since September 2026: 30% → 37%, +7 points. Inside the 11-point floor: within noise. Read over the models both editions asked.This pageMid-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.Standing →The standing
Share is the count of first choices across the direct, paraphrase, budget and scale prompts, over all fourteen models, for a small B2B company. Ordered by share.
ProductFirst-choice shareNegative rateLabelsQuadrantSince September 2026
01Insycle39%4%46endorsed leader▲+7Since September 2026: 30% → 37%, +7 points. Inside the 11-point floor: within noise. Read over the models both editions asked.30% → 37%
Insycle39%4%46endorsed leader▲+7Since September 2026: 30% → 37%, +7 points. Inside the 11-point floor: within noise. Read over the models both editions asked.30% → 37%02
Dedupely17%4%26accepted challenger▲+3Since September 2026: 17% → 20%, +3 points. Inside the 11-point floor: within noise. Read over the models both editions asked.17% → 20%
Dedupely17%4%26accepted challenger▲+3Since September 2026: 17% → 20%, +3 points. Inside the 11-point floor: within noise. Read over the models both editions asked.17% → 20%03
Cleanlist9%0%31accepted challenger▼−10Since September 2026: 19% → 9%, −10 points. Inside the 11-point floor: within noise. Read over the models both editions asked.19% → 9%
Cleanlist9%0%31accepted challenger▼−10Since September 2026: 19% → 9%, −10 points. Inside the 11-point floor: within noise. Read over the models both editions asked.19% → 9%04
WinPure Clean & Match6%0%21accepted challenger▲+4Since September 2026: 0% → 4%, +4 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 4%
WinPure Clean & Match6%0%21accepted challenger▲+4Since September 2026: 0% → 4%, +4 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 4%05
HubSpot Operations Hub6%13%23accepted challenger=heldSince September 2026: 6% → 7%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.6% → 7%
HubSpot Operations Hub6%13%23accepted challenger=heldSince September 2026: 6% → 7%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.6% → 7%06DemandTools4%34%41criticized challenger▲+4Since September 2026: 0% → 4%, +4 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 4%
DemandTools4%34%41criticized challenger▲+4Since September 2026: 0% → 4%, +4 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 4%07
DataGroomr2%8%12accepted challenger=heldSince September 2026: 2% → 2%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.2% → 2%
DataGroomr2%8%12accepted 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
Apollo.io2%24%17accepted challenger=heldSince September 2026: 2% → 2%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.2% → 2%
Apollo.io2%24%17accepted challenger=heldSince September 2026: 2% → 2%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.2% → 2%09
Salesforce Duplicate/Matching Rules2%30%10criticized challenger▲+2Since September 2026: 0% → 2%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 2%
Salesforce Duplicate/Matching Rules2%30%10criticized challenger▲+2Since September 2026: 0% → 2%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 2%10
ZoomInfo Operations2%64%14criticized challenger▲+2Since September 2026: 0% → 2%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 2%
ZoomInfo Operations2%64%14criticized challenger▲+2Since September 2026: 0% → 2%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 2%Show the three products at 0%, ordered by negative rate
13
Informatica Data Quality0%100%11criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%
Informatica Data Quality0%100%11criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%11
Cloudingo0%32%22criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%
Cloudingo0%32%22criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%12
OpenRefine0%27%11criticized challenger▼−2Since September 2026: 2% → 0%, −2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.2% → 0%
OpenRefine0%27%11criticized challenger▼−2Since September 2026: 2% → 0%, −2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.2% → 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 →
01020304050607080910111213Accepted challengerEndorsed leader
0%First-choice share → · lines at 30% share and 25% negative50%
Key
01Insycle39%
Insycle39%02Dedupely17%
Dedupely17%03Cleanlist9%
Cleanlist9%04WinPure Clean & Match6%
WinPure Clean & Match6%05HubSpot Operations Hub6%
HubSpot Operations Hub6%06DemandTools4%
DemandTools4%07DataGroomr2%
DataGroomr2%08Apollo.io2%
Apollo.io2%09Salesforce Duplicate/Matching Rules2%
Salesforce Duplicate/Matching Rules2%10ZoomInfo Operations2%
ZoomInfo Operations2%11Cloudingo0%
Cloudingo0%12OpenRefine0%
OpenRefine0%13Informatica Data Quality0%
Informatica Data Quality0%What they warned about
Five of fourteen models held their first choice under the paraphrase. Claude Haiku 4.5, GPT-5.4 mini, Perplexity Sonar, Mistral Small, DeepSeek V4 Flash, Llama 4 Maverick, Qwen 3.7 Flash, MiniMax M2.5 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.
Informatica Data Quality100%
11 of 11 labels negative · 10 of 14 models · 10 hard negative
“"Tools to Avoid or Be Very Cautious About… Examples: Informatica, Talend, Precisely - Why to avoid: These are enterprise-grade tools requiring dedicated data engineers"” Muse Glimmer 30B, negative prompt
DemandTools34%
14 of 41 labels negative · 8 of 14 models · 2 hard negative
“enterprise tools (such as DemandTools) are frequently criticized for being difficult to use without a dedicated data team” GLM 4.7 FlashX, negative prompt
Ataccama ONE100%
5 of 5 labels negative · 5 of 14 models · 5 hard negative
“Enterprise tools like Informatica or Ataccama are designed for complex data teams ... likely massive overkill for 30 people.” DeepSeek V4 Flash, scale prompt
Oracle Enterprise Data Quality100%
5 of 5 labels negative · 5 of 14 models · 5 hard negative
“Examples to Avoid: Talend, Informatica, SAP Master Data Governance, Oracle, and Ataccama.” Qwen 3.7 Flash, negative 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
78 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. 1130 links across 241 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 · Cleanlist54 answers · 92 citations · 11 models
45 answers · 86 citations · 11 models
vendor site · ZoomInfo37 answers · 44 citations · 11 models
vendor site · Cognism35 answers · 41 citations · 11 models
vendor site · Prospeo32 answers · 41 citations · 10 models
vendor site · Clearout32 answers · 32 citations · 12 models
28 answers · 28 citations · 11 models
vendor site · Integrate27 answers · 28 citations · 12 models
18 answers · 33 citations · 7 models
vendor site · Insycle18 answers · 29 citations · 8 models
16 answers · 19 citations · 9 models
vendor site · Oppora16 answers · 16 citations · 11 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.
49 answers · 11 models
32 answers · 12 models
29 answers · 10 models
28 answers · 11 models
27 answers · 12 models
27 answers · 11 models
21 answers · 11 models
16 answers · 11 models
15 answers · 10 models
14 answers · 9 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 |
|---|---|---|---|---|---|---|---|---|
| Insycle insycle.com | 39% | 123 | 480 | 4 | 13,246 | |||
| Dedupely dedupe.ly | 17% | 55 | 210 | 178 | 421 | 7 | ||
| Cleanlist cleanlist.ai | 9% | 99 | 1,900 | 0 | 16,279 | 3 | 3 | |
| HubSpot parent site HubSpot Operations Hub 6%, HubSpot CRM 2% | 7% | 306 | 368,000 | 9,776 | ||||
| WinPure Clean & Match winpure.com | 6% | 38 | 0 | 3,248 | 6 | |||
| DemandTools validity.com | 4% | 152 | 590 | 12 | 24,467 | $264 | 120 | |
| DataGroomr datagroomr.com | 2% | 37 | 320 | 0 | 517 | 17 | ||
| Apollo.io apollo.io | 2% | 1000 | 33,100 | 396 | 111,608 | 94 | ||
| Koalify koalify.io | 2% | 12 | 1,300 | 2 | 403 | 5 | ||
| Zoho parent site Zoho CRM 2% | 2% | 332 | 49,500 | 660 |
Google's top ten for the two searches hold 15 sites; 2 of them are among the sites the models cited here (cleanlist.ai, integrate.io). 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 a small B2B company?”Paraphrase“Which CRM data cleansing tool would you recommend to a small business that sells to other businesses?”Comparative“What are the top CRM data quality tools for a small team and how do they differ?”Budget-constrained“What is the best CRM data quality and deduplication tool for a small company with a tight budget?”Scale-constrained“We are a 30 person company evaluating a CRM data quality and deduplication tool. What should we look at?”Negative“Which CRM data quality tools should a small business avoid or be cautious about?”
Claude Haiku 4.5DedupelyWinPure Clean & MatchChangedApollo.io, CleanlistDedupelyno first choiceagainst: Ataccama ONE, Dedupely, Informatica Data Quality, Make, Talend Cloud, Zapier
Two alternatives
Datablist, WinPure Clean & MatchFour alternatives
Clearout, Cloudingo, DemandTools, OpenRefineFour alternatives
DemandTools, HubSpot Breeze Intelligence, HubSpot Operations Hub, LushaFour alternatives
HubSpot Operations Hub, Insycle, OpenRefine, WinPure Clean & MatchGPT-5.4 miniInsycleHubSpot's Data Hub / Smart CRM data enrichment features, InsycleChangedCloudingo, Plauti DeduplicateHubSpot CRM, HubSpot Operations Hubagainst: DataGroomr, Plauti Deduplicateno first choiceagainst: Insycle
Four alternatives
Cloudingo, Dedupely, Koalify, Plauti DeduplicateFour alternatives
D&B Optimizer, DemandTools, DupeCatcher, ZoomInfo OperationsTwo alternatives
Data8, InsycleGemini 3.5 FlashInsycleagainst: DemandTools, ZoomInfo OperationsInsycleHeldInsycleagainst: Cloudingo, Plauti DeduplicateDedupelyagainst: DemandTools, Openprise, ZoomInfo OperationsDataGroomr, Koalifyagainst: Cloudingo, Insycleagainst: DemandTools, Experian Aperture Data Studio, IBM InfoSphere, Informatica Data Quality, LeanData, Melissa Data, SAP Data Quality, Talend Data Quality, Traction Complete, ZoomInfo Operations
Three alternatives
DataGroomr, Dedupely, KoalifyFive alternatives
Apollo.io, Clay, Clearout, Dedupely, HubSpot Operations HubFour alternatives
Clearout, DataGroomr, Dedupely, KoalifyThree alternatives
Insycle, Koalify, OpenRefineTwo alternatives
Dedupely, Plauti DeduplicatePerplexity SonarZoomInfo OperationsInsycleChangedCleanlist, DemandToolsDedupelyagainst: DemandToolsno first choicenothing named
Two alternatives
Cleanlist, WinPure Clean & MatchTwo alternatives
Cleanlist, DemandToolsThree alternatives
Clearout, Validity Engage, WinPure Clean & MatchOne alternative
WinPure Clean & MatchGrok 4.1 FastInsycleagainst: CloudingoInsycleHeldInsycleagainst: Informatica Data QualityHubSpot Operations Hub, Salesforce Duplicate/Matching RulesInsycleagainst: DemandTools, HubSpot Operations Hub, Informatica IDQ or Cloud MDM, Oracle Enterprise Data Quality, SAS Viya, Talend Data Quality
Three alternatives
Dedupely, DupeCatcher, HubSpot Operations HubOne alternative
DemandToolsFour alternatives
Cleanlist, Cloudingo, DemandTools, WinPure Clean & MatchTwo alternatives
DataGroomr, OpenRefineFour alternatives
Cleanlist, Cloudingo, Dedupely, KoalifyMistral SmallDemandToolsDatacareChangedCleanlistCleanlist, WinPure Clean & Matchno first choiceagainst: Apollo.io, Ataccama ONE, Collibra Data Quality, Informatica Data Quality, Oracle Enterprise Data Quality, Precisely, SAP, Talend, ZoomInfo, ZoomInfo Operations
One alternative
CleanlistTwo alternatives
DemandTools, FindymailFour alternatives
Apollo.io, Cognism, DemandTools, MetaplaneTwo alternatives
Cloudingo, DemandToolsDeepSeek V4 FlashDedupely, Insycleagainst: HubSpot Operations Hub, Salesforce Duplicate/Matching RulesInsycleChangedCloudingo, Insycleagainst: ZoomInfo OperationsDedupelyagainst: PipedriveInsycleagainst: Ataccama ONE, DemandTools, Informatica Data Qualityagainst: DemandTools, Experian Aperture Data Studio, Informatica Data Quality, SAS Viya, ZoomInfo
Two alternatives
WinPure Clean & Match, folk CRMThree alternatives
DemandTools, WinPure Clean & Match, ZoomInfoThree alternatives
Apollo.io, Clay, LushaThree alternatives
CleanSmart, HubSpot Operations Hub, InsycleFour alternatives
Cleanlist, Cloudingo, Dedupely, KoalifyLlama 4 MaverickDemandToolsCleanlistChangedno first choiceCleanlistno first choicenothing named
One alternative
TofuThree alternatives
DemandTools, Oppora, WinPure Clean & MatchThree alternatives
Apollo.io, Dedupely, Plauti Duplicate CheckQwen 3.7 FlashInsycleCleanlistChangedCleanlist, Insycleagainst: DemandToolsApollo.ioagainst: Salesforce Duplicate/Matching Rulesno first choiceagainst: Acxiom, Ataccama ONE, Dun & Bradstreet, Epsilon, Experian Data Quality, Informatica Data Quality, Oracle Enterprise Data Quality, SAP Master Data Governance, Talend
Three alternatives
Cleanlist, Cloudingo, ZoomInfo OperationsFour alternatives
DemandTools, NeverBounce, WinPure Clean & Match, ZeroBounceFour alternatives
HubSpot Operations Hub, NeverBounce, Pipedrive, Snov.ioKimi K2Insycleagainst: ZoomInfo OperationsInsycleHeldInsycleagainst: Cloudingo, DemandToolsDedupelyagainst: Cloudingo, DemandToolsHubSpot's deduplication manageragainst: ZoomInfo Operationsagainst: Collibra Data Quality, DemandTools, Informatica Data Quality, Oracle Enterprise Data Quality, SAP, TIBCO Clarity, Talend
One alternative
DemandToolsTwo alternatives
Cloudingo, DemandToolsTwo alternatives
DataGroomr, DedupelyFive alternatives
HubSpot Operations Hub, Insycle, Pipedrive, Salesforce Duplicate Management, Zoho CRMGLM 4.7 FlashXInsycleagainst: DemandTools, Informatica Data QualityInsycleHeldagainst: OpenRefineCleanlistDedupelyagainst: OpenRefineno first choiceagainst: DemandTools, Salesforce Duplicate/Matching Rules
Five alternatives
Cleanlist, Clearout, Cloudingo, Dedupely, WinPure Clean & MatchThree alternatives
DataGroomr, HubSpot – Operations Hub, Salesforce – Duplicate Rules & Matching RulesThree alternatives
DataGroomr, Melissa Clean Suite, WinPure Clean & MatchOne alternative
InsycleMiniMax M2.5HubSpot Operations HubInsycleChangedCleanlist, Clearoutagainst: CloudingoDedupelyno first choiceagainst: Apollo.io, Informatica Data Quality, Precisely, Talend, ZoomInfo, ZoomInfo Operations
Four alternatives
DemandTools, DupeCatcher, WinPure Clean & Match, ZoomInfoOne alternative
DatablistOne alternative
DemandToolsFour alternatives
DataGroomr, HubSpot CRM, Pipedrive, Zoho CRMGPT-6 LunaInsycleagainst: CloudingoInsycleHeldHubSpot Operations Hub, Salesforce Duplicate Managementagainst: DemandToolsZoho CRMno first choiceagainst: Apollo.io, Clay, HubSpot Operations Hub, Salesforce Data Cloud
One alternative
HubSpot Operations HubThree alternatives
DataGroomr, Dedupely, InsycleFour alternatives
Dedupely, HubSpot Operations Hub, OpenRefine, Salesforce Duplicate/Matching RulesMuse Glimmer 30BInsycleCleanlist, WinPure Clean & MatchChangedInsycleDatablist, Insycleagainst: ZoomInfono first choiceagainst: Anomalo, Apollo.io, Ataccama ONE, Bigeye, Collibra Data Quality, IBM InfoSphere QualityStage, Informatica Data Quality, Monte Carlo, OpenRefine, Oracle Enterprise Data Quality, Pandas, Precisely, SAP, Talend, ZoomInfo
One alternative
DedupelyFour alternatives
Cloudingo, DemandTools, Insycle, Quadient Data CleanerFour alternatives
Cleanlist, DemandTools, LeadAngel, WinPure Clean & MatchThree alternatives
OpenRefine, Pipedrive, Zoho CRMBold 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 10:37 | yes | 9 | 7 s |
| Direct recommendation | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 09:03 | yes | 2 | 4 s |
| Direct recommendation | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 09:11 | yes | 17 | 22 s |
| Direct recommendation | Perplexity Sonar | sonar | 2026-10-01 09:09 | yes | 18 | 3 s |
| Direct recommendation | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 11:05 | yes | 24 | 7 s |
| Direct recommendation | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 12:43 | yes | 5 | 3 s |
| Direct recommendation | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 13:11 | yes | 23 | 33 s |
| Direct recommendation | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 13:07 | yes | 5 | 2 s |
| Direct recommendation | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 10:25 | yes | 5 | 27 s |
| Direct recommendation | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 08:31 | yes | 15 | 26 s |
| Direct recommendation | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 11:23 | yes | 22 | 85 s |
| Direct recommendation | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 11:42 | yes | 5 | 12 s |
| Direct recommendation | GPT-6 Luna | gpt-6-luna | 2026-10-01 12:22 | yes | 3 | 13 s |
| Direct recommendation | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 08:52 | yes | 22 | 31 s |
| Paraphrase | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 09:28 | yes | 9 | 7 s |
| Paraphrase | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 11:52 | yes | 2 | 5 s |
| Paraphrase | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 10:51 | yes | 16 | 23 s |
| Paraphrase | Perplexity Sonar | sonar | 2026-10-01 08:55 | yes | 19 | 3 s |
| Paraphrase | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 08:52 | yes | 22 | 5 s |
| Paraphrase | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 10:59 | yes | 5 | 3 s |
| Paraphrase | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 07:51 | yes | 24 | 27 s |
| Paraphrase | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 10:15 | yes | 5 | 1 s |
| Paraphrase | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 07:27 | yes | 8 | 41 s |
| Paraphrase | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 12:15 | yes | 15 | 18 s |
| Paraphrase | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 07:52 | yes | 14 | 23 s |
| Paraphrase | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 13:36 | yes | 17 | 60 s |
| Paraphrase | GPT-6 Luna | gpt-6-luna | 2026-10-01 08:03 | yes | 3 | 17 s |
| Paraphrase | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 11:37 | yes | 13 | 16 s |
| Comparative | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 08:42 | yes | 16 | 10 s |
| Comparative | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 07:45 | yes | 8 | 7 s |
| Comparative | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 09:35 | yes | 23 | 24 s |
| Comparative | Perplexity Sonar | sonar | 2026-10-01 13:36 | yes | 27 | 7 s |
| Comparative | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 07:55 | yes | 22 | 8 s |
| Comparative | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 10:13 | yes | 8 | 6 s |
| Comparative | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 09:31 | yes | 23 | 40 s |
| Comparative | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 09:17 | yes | 5 | 2 s |
| Comparative | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 09:08 | yes | 13 | 46 s |
| Comparative | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 11:30 | yes | 15 | 27 s |
| Comparative | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 09:59 | yes | 21 | 55 s |
| Comparative | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 10:25 | yes | 21 | 36 s |
| Comparative | GPT-6 Luna | gpt-6-luna | 2026-10-01 10:25 | yes | 6 | 32 s |
| Comparative | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 10:55 | yes | 23 | 45 s |
| Budget constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 08:46 | yes | 9 | 9 s |
| Budget constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 11:53 | yes | 3 | 5 s |
| Budget constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 11:03 | yes | 12 | 21 s |
| Budget constrained | Perplexity Sonar | sonar | 2026-10-01 11:36 | yes | 25 | 3 s |
| Budget constrained | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 07:51 | yes | 22 | 7 s |
| Budget constrained | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 10:11 | yes | 5 | 4 s |
| Budget constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 13:51 | yes | 24 | 33 s |
| Budget constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 09:24 | yes | 5 | 2 s |
| Budget constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 12:47 | no | 0 | 27 s |
| Budget constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 11:12 | yes | 19 | 25 s |
| Budget constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 10:43 | yes | 24 | 65 s |
| Budget constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 13:21 | yes | 15 | 24 s |
| Budget constrained | GPT-6 Luna | gpt-6-luna | 2026-10-01 12:50 | yes | 4 | 14 s |
| Budget constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 11:15 | yes | 22 | 26 s |
| Scale constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 11:11 | no | 0 | 6 s |
| Scale constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 09:40 | no | 0 | 10 s |
| Scale constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 08:52 | yes | 19 | 28 s |
| Scale constrained | Perplexity Sonar | sonar | 2026-10-01 10:10 | yes | 25 | 8 s |
| Scale constrained | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 10:14 | yes | 15 | 8 s |
| Scale constrained | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 08:58 | no | 0 | 7 s |
| Scale constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 10:42 | yes | 25 | 30 s |
| Scale constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 10:52 | yes | 5 | 2 s |
| Scale constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 09:49 | no | 0 | 38 s |
| Scale constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 11:55 | yes | 19 | 21 s |
| Scale constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 11:36 | yes | 15 | 85 s |
| Scale constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 11:41 | no | 0 | 9 s |
| Scale constrained | GPT-6 Luna | gpt-6-luna | 2026-10-01 09:02 | yes | 1 | 17 s |
| Scale constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 08:13 | yes | 14 | 23 s |
| Negative framing | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 12:32 | yes | 37 | 12 s |
| Negative framing | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 08:30 | yes | 4 | 5 s |
| Negative framing | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 09:24 | yes | 22 | 21 s |
| Negative framing | Perplexity Sonar | sonar | 2026-10-01 09:05 | yes | 24 | 3 s |
| Negative framing | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 12:35 | yes | 21 | 11 s |
| Negative framing | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 10:07 | yes | 8 | 5 s |
| Negative framing | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 12:18 | yes | 24 | 23 s |
| Negative framing | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 11:59 | yes | 5 | 3 s |
| Negative framing | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 09:30 | yes | 9 | 41 s |
| Negative framing | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 10:52 | yes | 22 | 30 s |
| Negative framing | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 09:19 | yes | 22 | 216 s |
| Negative framing | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 10:01 | yes | 13 | 25 s |
| Negative framing | GPT-6 Luna | gpt-6-luna | 2026-10-01 12:27 | yes | 4 | 16 s |
| Negative framing | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 10:41 | yes | 10 | 22 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
HubSpot read as HubSpot Operations Hub
HubSpot Data Hub read as HubSpot Operations Hub
HubSpot Data Hub (Pro+ tiers) read as HubSpot Operations Hub
HubSpot Data Quality read as HubSpot Operations Hub
HubSpot Data Quality tools read as HubSpot Operations Hub
HubSpot Native Tools read as HubSpot Operations Hub
Informatica read as Informatica Data Quality
Informatica Cloud Data Quality read as Informatica Data Quality
Informatica Cloud Data Quality (IDMC) read as Informatica Data Quality
Oracle read as Oracle Enterprise Data Quality
Plauti read as Plauti Deduplicate
Plauti (Duplicate Check) read as Plauti Deduplicate
Qlik Talend read as Talend Data Quality
Salesforce read as Salesforce Duplicate/Matching Rules
WinPure read as WinPure Clean & Match
Unresolved, counted raw
Apimie
D&B Optimizer
DataDoctor
DataPulse
Datacare
HubSpot – Operations Hub
HubSpot's Data Hub / Smart CRM data enrichment features
HubSpot's built-in deduplication
HubSpot's deduplication manager
Informatica IDQ or Cloud MDM
LeadRealty
LinkFinder AI
Native CRM Tools
OwnBackup
Plauti's Duplicate Check
Quadient Data Cleaner
ReachForce
SAP
Salesforce – Duplicate Rules & Matching Rules
Talend Cloud
Zoho
Discontinued, still offered
No shut-down product was recommended here.