Customer data platforms for enterprise buyers
Asked as “customer data platform”, and as “CDP”, on behalf of an enterprise B2B company. 56 first choices recorded across the direct, paraphrase, budget and scale prompts, fourteen models each.
Standing · first-choice share
34%
Contested · Adobe Real-Time CDP 14%
34Salesforce Data Cloud14Adobe Real-Time CDP12Tealium39others
34% of first choices, contested.
Since September 2026▼−7Since September 2026: 41% → 34%, −7 points. Inside the 11-point floor: within noise. Read over the models both editions asked.Salesforce Data Cloud held the lead, −7 points on 41%, 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
Segment35%Contested▼−3Since September 2026: 39% → 36%, −3 points. Inside the 11-point floor: within noise. Read over the models both editions asked.Standing →Mid-marketSegment49%Clear leader▲+3Since September 2026: 48% → 51%, +3 points. Inside the 11-point floor: within noise. Read over the models both editions asked.Standing →Enterprise
Salesforce Data Cloud34%Contested▼−7Since September 2026: 41% → 34%, −7 points. Inside the 11-point floor: within noise. Read over the models both editions asked.This page
Segment35%Contested▼−3Since September 2026: 39% → 36%, −3 points. Inside the 11-point floor: within noise. Read over the models both editions asked.Standing →Mid-marketSegment49%Clear leader▲+3Since September 2026: 48% → 51%, +3 points. Inside the 11-point floor: within noise. Read over the models both editions asked.Standing →EnterpriseSalesforce Data Cloud34%Contested▼−7Since September 2026: 41% → 34%, −7 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
01Salesforce Data Cloud34%22%63endorsed leader▼−7Since September 2026: 41% → 34%, −7 points. Inside the 11-point floor: within noise. Read over the models both editions asked.41% → 34%
Salesforce Data Cloud34%22%63endorsed leader▼−7Since September 2026: 41% → 34%, −7 points. Inside the 11-point floor: within noise. Read over the models both editions asked.41% → 34%02
Adobe Real-Time CDP14%30%56criticized challenger▲+8Since September 2026: 4% → 12%, +8 points. Inside the 11-point floor: within noise. Read over the models both editions asked.4% → 12%
Adobe Real-Time CDP14%30%56criticized challenger▲+8Since September 2026: 4% → 12%, +8 points. Inside the 11-point floor: within noise. Read over the models both editions asked.4% → 12%03
Tealium12%16%44accepted challenger▲+1Since September 2026: 11% → 12%, +1 point. Inside the 11-point floor: within noise. Read over the models both editions asked.11% → 12%
Tealium12%16%44accepted challenger▲+1Since September 2026: 11% → 12%, +1 point. Inside the 11-point floor: within noise. Read over the models both editions asked.11% → 12%04Segment7%36%45criticized challenger▲+4Since September 2026: 4% → 8%, +4 points. Inside the 11-point floor: within noise. Read over the models both editions asked.4% → 8%
Segment7%36%45criticized challenger▲+4Since September 2026: 4% → 8%, +4 points. Inside the 11-point floor: within noise. Read over the models both editions asked.4% → 8%05
Treasure Data4%12%34accepted challenger▼−7Since September 2026: 11% → 4%, −7 points. Inside the 11-point floor: within noise. Read over the models both editions asked.11% → 4%
Treasure Data4%12%34accepted challenger▼−7Since September 2026: 11% → 4%, −7 points. Inside the 11-point floor: within noise. Read over the models both editions asked.11% → 4%06
Hightouch4%11%27accepted challenger▼−3Since September 2026: 7% → 4%, −3 points. Inside the 11-point floor: within noise. Read over the models both editions asked.7% → 4%
Hightouch4%11%27accepted challenger▼−3Since September 2026: 7% → 4%, −3 points. Inside the 11-point floor: within noise. Read over the models both editions asked.7% → 4%07
Amperity2%12%16accepted challenger▲+2Since September 2026: 0% → 2%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 2%
Amperity2%12%16accepted challenger▲+2Since September 2026: 0% → 2%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 2%08
ActionIQ2%25%20criticized challenger=heldSince September 2026: 2% → 2%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.2% → 2%
ActionIQ2%25%20criticized challenger=heldSince September 2026: 2% → 2%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.2% → 2%Show the one product at 0%, ordered by negative rate
09
mParticle0%48%21criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%
mParticle0%48%21criticized 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
Segment vs CensusSegment vs Salesforce Data CloudSegment vs Adobe Real-Time CDPHightouch vs BlueConicHightouch vs RudderStackHightouch vs CensusHightouch vs Salesforce Data CloudHightouch vs Adobe Real-Time CDPBlueConic vs RudderStackBlueConic vs CensusBlueConic vs Salesforce Data CloudBlueConic vs Adobe Real-Time CDPRudderStack vs CensusRudderStack vs Salesforce Data CloudRudderStack vs Adobe Real-Time CDPCensus vs Salesforce Data CloudCensus vs Adobe Real-Time CDPSalesforce Data Cloud vs Adobe Real-Time CDP
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 →
010203040506070809Accepted challengerEndorsed leader
0%First-choice share → · lines at 30% share and 25% negative50%
Key
01Salesforce Data Cloud34%
Salesforce Data Cloud34%02Adobe Real-Time CDP14%
Adobe Real-Time CDP14%03Tealium12%
Tealium12%04Segment7%
Segment7%05Treasure Data4%
Treasure Data4%06Hightouch4%
Hightouch4%07Amperity2%
Amperity2%08ActionIQ2%
ActionIQ2%09mParticle0%
mParticle0%What they warned about
Five of fourteen models held their first choice under the paraphrase. GPT-5.4 mini, Perplexity Sonar, Mistral Small, DeepSeek V4 Flash, Llama 4 Maverick, Qwen 3.7 Flash, Kimi K2, GLM 4.7 FlashX and MiniMax M2.5 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.
Segment36%
16 of 45 labels negative · 11 of 14 models · 4 hard negative
“not recommended for enterprises with unpredictable MTU (monthly tracked users) growth, as overage tiers can double costs” Llama 4 Maverick, negative prompt
Adobe Real-Time CDP30%
17 of 56 labels negative · 10 of 14 models · 6 hard negative
“What to avoid if predictability is the top priority:- Adobe Real-Time CDP often uses custom or quote-based pricing with limited transparency” Perplexity Sonar, budget prompt
Salesforce Data Cloud22%
14 of 63 labels negative · 10 of 14 models · 4 hard negative
“Platforms/Types to Avoid or Be Highly Cautious Of: 1. **Salesforce Data Cloud (formerly CDP)**: - **Issues**: High complexity, steep setup” Grok 4.1 Fast, negative prompt
Tealium16%
7 of 44 labels negative · 6 of 14 models · 2 hard negative
“Rigid segmentation, slow data sync/latency, vendor lock-in post-contract” Grok 4.1 Fast, 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
77 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. 1129 links across 292 sites, every framing counted. Ranked by the number of answers carrying the site or page. 9 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.
56 answers · 107 citations · 13 models
vendor site · Improvado28 answers · 29 citations · 11 models
vendor site · Brevo27 answers · 27 citations · 9 models
vendor site · Rework26 answers · 40 citations · 10 models
24 answers · 39 citations · 10 models
vendor site · Hightouch24 answers · 30 citations · 9 models
vendor site · Gartner24 answers · 25 citations · 10 models
22 answers · 22 citations · 8 models
20 answers · 20 citations · 8 models
19 answers · 19 citations · 9 models
vendor site · Salesforce16 answers · 25 citations · 9 models
16 answers · 18 citations · 6 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.
41 answers · 12 models
28 answers · 11 models
27 answers · 9 models
22 answers · 8 models
20 answers · 8 models
19 answers · 9 models
19 answers · 8 models
16 answers · 6 models
16 answers · 8 models
16 answers · 7 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 customer data platform”, “customer data platform”. 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 |
|---|---|---|---|---|---|---|---|---|
| Salesforce parent site Salesforce Data Cloud 34% | 34% | 320 | 550,000 | 60,632 | ||||
| Adobe parent site Adobe Real-Time CDP 14% | 14% | 284 | 1,220,000 | 117,563 | ||||
| Tealium tealium.com | 12% | 174 | 2,900 | 143 | 9,399 | 32 | ||
| Twilio segment.com Segment 7% | 7% | 408 | 135,000 | 4,343 | 9,086 | 0 | ||
| Microsoft parent site Microsoft Dynamics 365 Customer Insights 7% | 7% | 27 | 2,240,000 | 403,136 | ||||
| Treasure Data treasure.ai | 4% | 84 | 1,600 | 43 | 801 | $82 | 7 | |
| Hightouch hightouch.com | 4% | 363 | 12,100 | 434 | 127,772 | 23 | 7 | |
| Fivetran fivetran.com Census 4% | 4% | 224 | 60,500 | 14,424 | 41,501 company | $126 | 97 | |
| Leadspace leadspace.com | 4% | 40 | 210 | 5 | 633 | |||
| Amperity amperity.com | 2% | 108 | 2,400 | 2,620 | 3,982 | 7 |
Google's top ten for the two searches hold 16 sites; 6 of them are among the sites the models cited here (cdp.com, cxtoday.com, gartner.com, hightouch.com, learn.g2.com, salesforce.com). The first result for “best customer data platform” is gartner.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 customer data platform for an enterprise B2B company?”Paraphrase“Which CDP would you recommend to a large B2B company with thousands of employees?”Comparative“What are the top enterprise-grade customer data platforms and how do they differ?”Budget-constrained“What is the best customer data platform 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 customer data platform. What should we look at?”Negative“Which customer data platforms should a large enterprise avoid or be cautious about?”
Claude Haiku 4.5Salesforce Data CloudSalesforce Data CloudHeldno first choiceOracle Fusion Customer Data Platformagainst: Segmentno first choicenothing named
Three alternatives
ActionIQ, Adobe Real-Time CDP, LeadspaceThree alternatives
ActionIQ, Adobe Real-Time CDP, Treasure DataTwo alternatives
Salesforce Data Cloud, Treasure DataGPT-5.4 miniActionIQ, Treasure DataSalesforce Data CloudChangedno first choiceTealiumno first choicenothing named
Four alternatives
Adobe Real-Time CDP, Amperity, Salesforce Data Cloud, TealiumTwo alternatives
Leadspace, TealiumSix alternatives
ActionIQ, Adobe Real-Time CDP, Salesforce Data Cloud, Segment, Tealium, Treasure DataTwo alternatives
Segment, mParticleGemini 3.5 FlashSalesforce Data CloudSalesforce Data CloudHeldHightouchMicrosoft Dynamics 365 Customer Insightsagainst: Adobe Real-Time CDP, Salesforce Data Cloud, SegmentCensus, Hightouchagainst: Adobe Real-Time CDP, Segment, Tealium, mParticleagainst: Adobe Real-Time CDP, HubSpot, Klaviyo Data Platform, Salesforce Data Cloud, Segment, Snowplow, mParticle
Four alternatives
Adobe Real-Time CDP: B2B Edition, Hightouch, Oracle Unity, Treasure DataFour alternatives
Adobe Real-Time CDP, Census, Hightouch, TealiumFour alternatives
Adobe Real-Time CDP, Oracle Fusion Unity Data Platform, Salesforce Data Cloud, UniphoreThree alternatives
ActionIQ, Census, HightouchPerplexity SonarSalesforce Data CloudAdobe Real-Time CDPChangedno first choiceSalesforce Data Cloudagainst: Adobe Real-Time CDPno first choiceagainst: Adobe Real-Time CDP, Salesforce Data Cloud
Three alternatives
ActionIQ, Adobe Real-Time CDP, Treasure DataThree alternatives
Salesforce Data Cloud, Segment, Treasure DataOne alternative
Microsoft Dynamics 365 Customer InsightsGrok 4.1 FastSalesforce Data CloudSalesforce Data CloudHeldno first choiceTealiumagainst: RudderStack, Segment, mParticleSegment, Tealiumagainst: Adobe Real-Time CDP, Hightouch, Salesforce Data Cloud, Segment, Tealium, Treasure Data
Three alternatives
Adobe Real-Time CDP, Oracle Unity, Treasure DataFour alternatives
Adobe Real-Time CDP, Dun & Bradstreet CDP, Tealium, Treasure DataThree alternatives
ActionIQ, Salesforce Data Cloud, Treasure DataThree alternatives
Adobe Real-Time CDP, Amperity, Salesforce Data CloudMistral SmallTealium, Treasure DataAdobe Real-Time CDPChangedno first choiceAmperityagainst: ActionIQ, Microsoft Dynamics 365 Customer Insightsno first choiceagainst: SAP Customer Data Cloud, Salesforce Data Cloud, Treasure Data
Three alternatives
Adobe Real-Time CDP, Dun & Bradstreet, Salesforce Data CloudDeepSeek V4 FlashSalesforce Data Cloud, Tealiumagainst: Adobe Real-Time CDP, SegmentSalesforce Data CloudChangedno first choiceMicrosoft Dynamics 365 Customer Insightsagainst: Adobe Real-Time CDP, Amperity, Salesforce Data Cloud, Segment, mParticleno first choiceagainst: ActionIQ, Adobe Real-Time CDP, Census, Lytics, Salesforce Data Cloud, Tealium, mParticle
One alternative
Treasure DataFive alternatives
Amperity, Hightouch, Segment, Tealium, Treasure DataEight alternatives
ActionIQ, Adobe Real-Time CDP, Amperity, Hightouch, Salesforce Data Cloud, Segment, Tealium, Treasure DataTwo alternatives
BlueConic, TealiumLlama 4 MaverickLeadspaceImprovadoChangedno first choiceno first choiceno first choiceagainst: Adobe Real-Time CDP, Hightouch, Salesforce Data Cloud, Segment, Tealium, Treasure Data
One alternative
Klaviyo Data PlatformTwo alternatives
Albato, CloudTalkFive alternatives
Adobe Real-Time CDP, Amperity, Salesforce Data Cloud, Segment, TealiumQwen 3.7 FlashSegmentagainst: Adobe Real-Time CDPAdobe Real-Time CDPChangedSalesforce Data CloudBlueConicagainst: Segment, mParticleno first choiceagainst: Basic Oracle/SAP Modules, Entry-level HubSpot, Salesforce Data Cloud, Tealium
Three alternatives
BlueConic, Tealium, mParticleThree alternatives
Salesforce Customer 360, Segment, TealiumFour alternatives
ActionIQ, Adobe Real-Time CDP, Tealium, Treasure DataThree alternatives
Adobe Customer Experience Platform, Bloomreach, RudderStackKimi K2Leadspace, Salesforce Data CloudSalesforce Data CloudChangedno first choiceagainst: mParticleMicrosoft Dynamics 365 Customer Insights, RudderStackagainst: Adobe Real-Time CDP, SAP Customer Data Platform, Salesforce Data Cloud, Segment, Tealium, mParticleSegmentagainst: ActionIQ, Adobe Real-Time CDP, Salesforce Data Cloudagainst: Adobe Real-Time CDP, Salesforce Data Cloud, Segment, Simon Data, Tealium, mParticle
Four alternatives
6sense, Demandbase, Segment, Treasure DataOne alternative
Adobe Real-Time CDPSeven alternatives
Adobe Real-Time CDP, Amperity, Hightouch, Salesforce Data Cloud, Segment, Tealium, Treasure DataOne alternative
HightouchTwo alternatives
Tealium, mParticleGLM 4.7 FlashXAdobe Real-Time CDP, Salesforce Data CloudSalesforce Data Cloud, TealiumChangedno first choiceSalesforce Data Cloudagainst: Segmentno first choicenothing named
Three alternatives
Hightouch, Insider, SegmentOne alternative
Adobe Real-Time CDPThree alternatives
Customer.io Data Pipelines, Microsoft Dynamics 365 Customer Insights, Treasure DataMiniMax M2.5Adobe Real-Time CDP, Salesforce Data Cloud, SegmentAdobe Real-Time CDPChangedTreasure DataCensus, Hightouchagainst: Segmentno first choiceagainst: Adobe Real-Time CDP, Hightouch, Klaviyo Data Platform, Salesforce Data Cloud
Two alternatives
Tealium, mParticleTwo alternatives
Segment, TealiumFive alternatives
Adobe Real-Time CDP, Hightouch, Salesforce Data Cloud, Segment, TealiumTwo alternatives
RudderStack, Salesforce Data CloudOne alternative
HightouchGPT-6 LunaAdobe Real-Time CDPAdobe Real-Time CDPHeldno first choiceTealiumno first choiceagainst: ActionIQ, Adobe Real-Time CDP, Lytics, Oracle Unity, Salesforce Data Cloud, Segment, mParticle
Three alternatives
Hightouch, Salesforce Data Cloud, SegmentTwo alternatives
Hightouch, Salesforce Data CloudTen alternatives
ActionIQ, Adobe Real-Time CDP, Amperity, Hightouch, Oracle Unity, Salesforce Data Cloud, Segment, Tealium, Treasure Data, mParticleOne alternative
SegmentMuse Glimmer 30BSalesforce Data CloudSalesforce Data CloudHeldno first choiceMicrosoft Dynamics 365 Customer Insightsno first choiceagainst: ActionIQ, Adobe Real-Time CDP, Amperity, BlueConic, Blueshift, Dun & Bradstreet, Leadspace, Oracle Unity, SAP Customer Data Platform, Segment, Treasure Data, Zeotap
Three alternatives
Adobe Real-Time CDP, Dun & Bradstreet, Oracle UnityFour alternatives
ActionIQ, Adobe Real-Time CDP, Amperity, TealiumOne alternative
Salesforce Data CloudBold 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 13:06 | yes | 9 | 9 s |
| Direct recommendation | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 07:50 | yes | 1 | 6 s |
| Direct recommendation | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 08:36 | yes | 33 | 31 s |
| Direct recommendation | Perplexity Sonar | sonar | 2026-10-01 13:51 | yes | 19 | 4 s |
| Direct recommendation | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 12:09 | yes | 20 | 8 s |
| Direct recommendation | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 08:07 | yes | 13 | 5 s |
| Direct recommendation | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 09:12 | yes | 22 | 45 s |
| Direct recommendation | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 14:03 | yes | 5 | 2 s |
| Direct recommendation | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 11:51 | no | 0 | 36 s |
| Direct recommendation | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 10:04 | yes | 18 | 24 s |
| Direct recommendation | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 10:44 | yes | 16 | 56 s |
| Direct recommendation | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 12:06 | no | 0 | 13 s |
| Direct recommendation | GPT-6 Luna | gpt-6-luna | 2026-10-01 11:01 | yes | 5 | 15 s |
| Direct recommendation | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 11:23 | yes | 12 | 20 s |
| Paraphrase | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 14:12 | yes | 15 | 9 s |
| Paraphrase | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 09:53 | yes | 3 | 5 s |
| Paraphrase | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 11:12 | yes | 11 | 25 s |
| Paraphrase | Perplexity Sonar | sonar | 2026-10-01 13:05 | yes | 19 | 3 s |
| Paraphrase | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 10:51 | yes | 19 | 7 s |
| Paraphrase | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 08:27 | yes | 5 | 2 s |
| Paraphrase | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 08:30 | yes | 21 | 29 s |
| Paraphrase | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 07:38 | yes | 5 | 2 s |
| Paraphrase | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 11:30 | no | 0 | 35 s |
| Paraphrase | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 11:39 | yes | 18 | 29 s |
| Paraphrase | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 08:39 | yes | 18 | 22 s |
| Paraphrase | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 08:16 | yes | 5 | 35 s |
| Paraphrase | GPT-6 Luna | gpt-6-luna | 2026-10-01 13:02 | yes | 3 | 14 s |
| Paraphrase | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 10:10 | yes | 21 | 36 s |
| Comparative | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 09:11 | yes | 18 | 10 s |
| Comparative | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 10:28 | yes | 8 | 8 s |
| Comparative | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 07:31 | yes | 16 | 32 s |
| Comparative | Perplexity Sonar | sonar | 2026-10-01 10:36 | yes | 20 | 5 s |
| Comparative | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 08:19 | yes | 20 | 8 s |
| Comparative | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 12:48 | yes | 12 | 10 s |
| Comparative | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 09:14 | yes | 21 | 53 s |
| Comparative | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 09:53 | yes | 5 | 2 s |
| Comparative | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 10:02 | yes | 10 | 33 s |
| Comparative | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 13:59 | yes | 14 | 38 s |
| Comparative | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 09:36 | yes | 17 | 52 s |
| Comparative | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 08:09 | yes | 10 | 15 s |
| Comparative | GPT-6 Luna | gpt-6-luna | 2026-10-01 13:02 | yes | 11 | 41 s |
| Comparative | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 10:41 | yes | 14 | 32 s |
| Budget constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 09:28 | yes | 19 | 9 s |
| Budget constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 10:56 | yes | 4 | 5 s |
| Budget constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 12:38 | yes | 13 | 33 s |
| Budget constrained | Perplexity Sonar | sonar | 2026-10-01 11:32 | yes | 20 | 4 s |
| Budget constrained | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 07:54 | yes | 22 | 9 s |
| Budget constrained | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 13:43 | yes | 20 | 7 s |
| Budget constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 08:52 | yes | 25 | 24 s |
| Budget constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 11:56 | yes | 5 | 2 s |
| Budget constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 08:44 | no | 0 | 31 s |
| Budget constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 11:06 | yes | 23 | 35 s |
| Budget constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 11:19 | yes | 17 | 235 s |
| Budget constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 13:38 | yes | 19 | 66 s |
| Budget constrained | GPT-6 Luna | gpt-6-luna | 2026-10-01 11:15 | yes | 2 | 14 s |
| Budget constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 11:41 | yes | 20 | 41 s |
| Scale constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 08:27 | yes | 19 | 10 s |
| Scale constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 11:58 | yes | 6 | 9 s |
| Scale constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 10:01 | no | 0 | 18 s |
| Scale constrained | Perplexity Sonar | sonar | 2026-10-01 10:51 | yes | 16 | 4 s |
| Scale constrained | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 14:07 | yes | 17 | 10 s |
| Scale constrained | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 11:11 | no | 0 | 11 s |
| Scale constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 12:11 | yes | 24 | 40 s |
| Scale constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 12:48 | yes | 5 | 4 s |
| Scale constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 10:31 | yes | 15 | 36 s |
| Scale constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 13:59 | yes | 24 | 43 s |
| Scale constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 11:45 | yes | 15 | 26 s |
| Scale constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 13:50 | yes | 19 | 27 s |
| Scale constrained | GPT-6 Luna | gpt-6-luna | 2026-10-01 09:24 | yes | 4 | 23 s |
| Scale constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 12:15 | yes | 14 | 20 s |
| Negative framing | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 13:00 | yes | 18 | 12 s |
| Negative framing | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 07:32 | yes | 5 | 6 s |
| Negative framing | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 09:54 | yes | 27 | 27 s |
| Negative framing | Perplexity Sonar | sonar | 2026-10-01 11:32 | yes | 22 | 6 s |
| Negative framing | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 12:46 | yes | 25 | 10 s |
| Negative framing | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 10:04 | yes | 12 | 9 s |
| Negative framing | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 10:40 | yes | 25 | 30 s |
| Negative framing | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 08:32 | yes | 5 | 3 s |
| Negative framing | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 08:56 | no | 0 | 40 s |
| Negative framing | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 10:35 | yes | 21 | 29 s |
| Negative framing | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 09:26 | yes | 23 | 70 s |
| Negative framing | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 09:46 | yes | 5 | 15 s |
| Negative framing | GPT-6 Luna | gpt-6-luna | 2026-10-01 10:52 | yes | 3 | 31 s |
| Negative framing | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 12:12 | yes | 19 | 23 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
Adobe read as Adobe Real-Time CDP
Adobe Real-Time CDP B2B Edition read as Adobe Real-Time CDP
Hubspot read as HubSpot
Klaviyo read as Klaviyo Data Platform
Microsoft read as Microsoft Dynamics 365 Customer Insights
Oracle read as Oracle Unity
Oracle Unity Customer Data Platform read as Oracle Unity
Oracle Unity Data Platform read as Oracle Unity
SAP read as SAP Customer Data Platform
Salesforce read as Salesforce Data Cloud
Twilio read as Segment
Unresolved, counted raw
Adobe Customer Experience Platform (Adobe CDP)
Adobe Real-Time CDP: B2B Edition
Basic Oracle/SAP Modules
CDP.com
Customer.io Data Pipelines
Dun & Bradstreet CDP
Entry-level HubSpot
Oracle Fusion Customer Data Platform
Oracle Fusion Unity Data Platform
SAP Customer Data Cloud
Discontinued, still offered
No shut-down product was recommended here.