Data management platforms
Asked as “data management platform for audiences”, and as “DMP”, on behalf of a mid-market B2B company. 41 first choices recorded across the direct, paraphrase, budget and scale prompts, fourteen models each.
Standing · first-choice share
37%
Contested · BlueConic 12%
37Segment12BlueConic12Hightouch39others
37% of first choices, contested.
Since September 2026▲+25Since September 2026: 18% → 42%, +25 points. Past the 11-point floor: movement. Read over the models both editions asked.Segment held the lead, +25 points on 18%, past the 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
Segment28%Contested▲+14Since September 2026: 16% → 30%, +14 points. Past the 11-point floor: movement. Read over the models both editions asked.Standing →Mid-marketSegment37%Contested▲+25Since September 2026: 18% → 42%, +25 points. Past the 11-point floor: movement. Read over the models both editions asked.This pageEnterprise
Salesforce Data Cloud21%Contested▲+3Since September 2026: 20% → 23%, +3 points. Inside the 11-point floor: within noise. Read over the models both editions asked.Standing →
Segment28%Contested▲+14Since September 2026: 16% → 30%, +14 points. Past the 11-point floor: movement. Read over the models both editions asked.Standing →Mid-marketSegment37%Contested▲+25Since September 2026: 18% → 42%, +25 points. Past the 11-point floor: movement. Read over the models both editions asked.This pageEnterpriseSalesforce Data Cloud21%Contested▲+3Since September 2026: 20% → 23%, +3 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 mid-market B2B company. Ordered by share.
ProductFirst-choice shareNegative rateLabelsQuadrantSince September 2026
01Segment37%7%42endorsed leader▲+25Since September 2026: 18% → 42%, +25 points. Past the 11-point floor: movement. Read over the models both editions asked.18% → 42%
Segment37%7%42endorsed leader▲+25Since September 2026: 18% → 42%, +25 points. Past the 11-point floor: movement. Read over the models both editions asked.18% → 42%02
Hightouch12%0%18accepted challenger▼−4Since September 2026: 11% → 6%, −4 points. Inside the 11-point floor: within noise. Read over the models both editions asked.11% → 6%
Hightouch12%0%18accepted challenger▼−4Since September 2026: 11% → 6%, −4 points. Inside the 11-point floor: within noise. Read over the models both editions asked.11% → 6%03
BlueConic12%0%12accepted challenger▲+10Since September 2026: 2% → 12%, +10 points. Inside the 11-point floor: within noise. Read over the models both editions asked.2% → 12%
BlueConic12%0%12accepted challenger▲+10Since September 2026: 2% → 12%, +10 points. Inside the 11-point floor: within noise. Read over the models both editions asked.2% → 12%04
Tealium Customer Data Hub2%19%21accepted challenger▼−9Since September 2026: 9% → 0%, −9 points. Inside the 11-point floor: within noise. Read over the models both editions asked.9% → 0%
Tealium Customer Data Hub2%19%21accepted challenger▼−9Since September 2026: 9% → 0%, −9 points. Inside the 11-point floor: within noise. Read over the models both editions asked.9% → 0%05Salesforce Data Cloud2%37%19criticized challenger▲+1Since September 2026: 2% → 3%, +1 point. Inside the 11-point floor: within noise. Read over the models both editions asked.2% → 3%
Salesforce Data Cloud2%37%19criticized challenger▲+1Since September 2026: 2% → 3%, +1 point. Inside the 11-point floor: within noise. Read over the models both editions asked.2% → 3%06
Lotame Spherical2%40%15criticized challenger=heldSince September 2026: 4% → 3%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.4% → 3%
Lotame Spherical2%40%15criticized challenger=heldSince September 2026: 4% → 3%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.4% → 3%Show the ten products at 0%, ordered by negative rate
16
Salesforce Audience Studio0%75%12criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%
Salesforce Audience Studio0%75%12criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%14
Oracle BlueKai0%60%15criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%
Oracle BlueKai0%60%15criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%15
Adobe Audience Manager0%57%23criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%
Adobe Audience Manager0%57%23criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%13
Adobe Real-Time CDP0%53%17criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%
Adobe Real-Time CDP0%53%17criticized 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
Permutive0%18%11accepted challenger▼−2Since September 2026: 2% → 0%, −2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.2% → 0%
Permutive0%18%11accepted challenger▼−2Since September 2026: 2% → 0%, −2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.2% → 0%07
Snowflake0%11%19accepted challenger▼−2Since September 2026: 2% → 0%, −2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.2% → 0%
Snowflake0%11%19accepted challenger▼−2Since September 2026: 2% → 0%, −2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.2% → 0%10
Collibra0%9%11accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%
Collibra0%9%11accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%08
Databricks Lakehouse0%0%14accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%
Databricks Lakehouse0%0%14accepted 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
BigQuery Lab in the set0%0%10accepted challenger▼−5Since September 2026: 5% → 0%, −5 points. Inside the 11-point floor: within noise. Read over the models both editions asked.5% → 0%
BigQuery Lab in the set0%0%10accepted challenger▼−5Since September 2026: 5% → 0%, −5 points. Inside the 11-point floor: within noise. Read over the models both editions asked.5% → 0%11
Fivetran0%0%10accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%
Fivetran0%0%10accepted 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.
BigQuery is made by Google, whose model Gemini 3.5 Flash is in the set. On the four share prompts that model made it the first choice zero times of 4; the other thirteen models zero times of 52. Lab treatment is defined on the method page; the row is marked, not excluded.
All fifteen head-to-head pages: the top six products, each against each
Segment vs Salesforce Data CloudSegment vs Lotame SphericalHightouch vs BlueConicHightouch vs Tealium Customer Data HubHightouch vs Salesforce Data CloudHightouch vs Lotame SphericalBlueConic vs Tealium Customer Data HubBlueConic vs Salesforce Data CloudBlueConic vs Lotame SphericalTealium Customer Data Hub vs Salesforce Data CloudTealium Customer Data Hub vs Lotame SphericalSalesforce Data Cloud vs Lotame Spherical
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 →
01020304050607080910111213141516Accepted challengerEndorsed leader
0%First-choice share → · lines at 30% share and 25% negative50%
Key
01Segment37%
Segment37%02Hightouch12%
Hightouch12%03BlueConic12%
BlueConic12%04Tealium Customer Data Hub2%
Tealium Customer Data Hub2%05Salesforce Data Cloud2%
Salesforce Data Cloud2%06Lotame Spherical2%
Lotame Spherical2%07Snowflake0%
Snowflake0%08Databricks Lakehouse0%
Databricks Lakehouse0%09BigQuery0%
BigQuery0%10Collibra0%
Collibra0%11Fivetran0%
Fivetran0%12Permutive0%
Permutive0%13Adobe Real-Time CDP0%
Adobe Real-Time CDP0%14Oracle BlueKai0%
Oracle BlueKai0%15Adobe Audience Manager0%
Adobe Audience Manager0%16Salesforce Audience Studio0%
Salesforce Audience Studio0%What they warned about
Three 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, Qwen 3.7 Flash, GLM 4.7 FlashX, 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.
Adobe Audience Manager57%
13 of 23 labels negative · 8 of 14 models · 8 hard negative
“Do not buy a traditional DMP... the traditional DMP market (historically dominated by players like Adobe Audience Manager, Salesforce Audience Studio, and Oracle’s defunct BlueKai) is virtually obsolete.” Gemini 3.5 Flash, paraphrase prompt
Oracle BlueKai60%
9 of 15 labels negative · 7 of 14 models · 7 hard negative
“**Oracle BlueKai** and **Salesforce Audience Studio (Krux)** have been **sunset/end-of-life**” DeepSeek V4 Flash, paraphrase prompt
Adobe Real-Time CDP53%
9 of 17 labels negative · 5 of 14 models · 3 hard negative
“What to Avoid for Mid-Market — enterprise-focused, with pricing and complexity that typically don't fit mid-market budgets” DeepSeek V4 Flash, direct prompt
Salesforce Audience Studio75%
9 of 12 labels negative · 4 of 14 models · 8 hard negative
“the traditional DMP market (historically dominated by players like Adobe Audience Manager, Salesforce Audience Studio, and Oracle’s defunct BlueKai) is virtually obsolete” Gemini 3.5 Flash, paraphrase 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
75 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. 1081 links across 355 sites, every framing counted. Ranked by the number of answers carrying the site or page. 26 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.
31 answers · 38 citations · 13 models
28 answers · 46 citations · 12 models
26 answers · 47 citations · 9 models
vendor site · Improvado24 answers · 32 citations · 11 models
vendor site · Decentriq24 answers · 30 citations · 10 models
vendor site · ZoomInfo23 answers · 37 citations · 11 models
vendor site · HubSpot23 answers · 23 citations · 9 models
17 answers · 21 citations · 10 models
vendor site · Matillion16 answers · 28 citations · 9 models
vendor site · Mailmodo16 answers · 16 citations · 9 models
11 answers · 13 citations · 7 models
vendor site · Hightouch11 answers · 12 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.
22 answers · 9 models
21 answers · 10 models
20 answers · 11 models
15 answers · 10 models
15 answers · 9 models
15 answers · 9 models
13 answers · 8 models
11 answers · 9 models
11 answers · 6 models
11 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 data management platform for audiences”, “data management platform for audiences”. 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 |
|---|---|---|---|---|---|---|---|---|
| Twilio segment.com Segment 37% | 37% | 408 | 135,000 | 4,343 | 9,086 | 0 | ||
| Hightouch hightouch.com | 12% | 363 | 12,100 | 434 | 127,772 | 23 | ||
| BlueConic blueconic.com | 12% | 64 | 1,000 | 22 | 4,661 | $142 | 9 | 5 |
| AdRoll adroll.com AdRoll ABM 2%, AdRoll 2% | 5% | 214 | 2,900 | 50 | 52,273 | 18 | ||
| Tealium Customer Data Hub tealium.com | 2% | 47 | 40 | 0 | 9,399 | 32 | ||
| RudderStack rudderstack.com | 2% | 125 | 1,900 | 42 | 46,132 | 50 | ||
| ZoomInfo zoominfo.com | 2% | 846 | 135,000 | 1,810 | 6,376,738 | $1,140 | 120 | |
| HubSpot parent site HubSpot Marketing Hub 2% | 2% | 934 | 368,000 | 9,776 | ||||
| Leadspace leadspace.com | 2% | 40 | 210 | 5 | 633 | |||
| Adform DMP | 2% |
Google's top ten for the two searches hold 15 sites; 4 of them are among the sites the models cited here (blog.hubspot.com, cdp.com, decentriq.com, matillion.com). The first result for “best data management platform for audiences” is acquia.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 data management platform for audiences for a mid-market B2B company?”Paraphrase“Which DMP would you recommend to a mid-sized B2B company?”Comparative“What are the top data management platforms and how do they differ?”Budget-constrained“What is the best data management platform for audiences for a company with a limited budget?”Scale-constrained“We are a 500 person company evaluating a data management platform for audiences. What should we look at?”Negative“Which data management platforms should I avoid or be cautious about?”
Claude Haiku 4.5BlueConic, Segmentno first choiceChangedInformatica Intelligent Data Management CloudSegmentno first choicenothing named
Two alternatives
Apollo.io, ZoomInfoFour alternatives
Collibra, Databricks Lakehouse, Segment, SnowflakeTwo alternatives
RudderStack, SparkToroGPT-5.4 miniSegmentAdobe Real-Time CDP B2B EditionChangedno first choiceHubSpot Marketing Hubagainst: Adobe Real-Time CDP, Salesforce Data Cloudno first choicenothing named
One alternative
mParticle Composable AudiencesOne alternative
Adobe Audience ManagerThirteen alternatives
Airbyte, Alation, Azure Data Factory, BigQuery, Collibra, Databricks Data + AI Platform, Fivetran, IBM Data Management / IBM MDM stack, Informatica Intelligent Data Management / Cloud suite, Microsoft Fabric, Reltio, Snowflake, TalendTwo alternatives
OnAudience, Versium REACHGemini 3.5 FlashHightouchagainst: Adobe Audience Manager, Salesforce Audience Studio, Segment, Tealium Customer Data HubAdRoll ABM, Factors.aiChangedagainst: 6sense, Adobe Audience Manager, Demandbase, Oracle’s defunct BlueKai, Salesforce Audience StudioDatabricks Lakehouse, Snowflakeagainst: Oracle BlueKai, Salesforce Audience StudioHightouchagainst: Adobe Audience Manager, Salesforce Audience Studio, Segmentno first choiceagainst: Oracle BlueKai, Salesforce Audience Studio
Five alternatives
6sense, Apollo.io, Census, Clay, DemandbaseThree alternatives
BlueConic, Hightouch, SegmentSeven alternatives
Alation, BigQuery, Collibra, Informatica Intelligent Data Management Cloud, Microsoft Fabric, Salesforce Data Cloud, SegmentFive alternatives
Census, Google Analytics 4, Piwik PRO, RudderStack, TracardiPerplexity SonarSegmentno first choiceChangedno first choiceno first choiceagainst: Adobe Audience Manager, Adobe Real-Time CDP, Oracle BlueKaino first choiceagainst: Amazon Redshift, Oracle Database, Snowflake
Two alternatives
Hightouch, Tealium Customer Data HubOne alternative
Salesforce Data CloudOne alternative
PermutiveGrok 4.1 FastSegmentLotame SphericalChangedno first choiceSegmentagainst: Adobe Audience Manager, Lotame Spherical, OnAudienceno first choiceagainst: 1010data, AWS-native, Alation, Azure, Collibra, CredentialStream, Google Cloud, Microsoft, Snowflake
Four alternatives
BlueConic, Hightouch, HubSpot Marketing Hub, RudderStackThree alternatives
Leadspace, Oracle BlueKai, ZoomInfoThree alternatives
Google Analytics 4, Klaviyo, RudderStackMistral SmallSalesforce Data Cloud, SegmentZoomInfoChangedno first choiceSegmentno first choicenothing named
Two alternatives
Adobe Real-Time CDP, Tealium Customer Data HubTwo alternatives
Demandbase, ImprovadoTwo alternatives
Amundsen, KNIMEDeepSeek V4 FlashBlueConicagainst: ActionIQ, Adobe Real-Time CDP, Salesforce Data Cloud, Tealium Customer Data Hub, Treasure DataSegmentChangedagainst: Adobe Audience Manager, Oracle BlueKai, Salesforce Audience StudioInformatica Intelligent Data Management Cloudagainst: SAP HANA CloudJitsuagainst: Adobe Real-Time CDP, Amperity, Salesforce Data Cloud, Tealium Customer Data Hubno first choiceagainst: Adobe Real-Time CDP, LiveRamp, Salesforce Data Cloudagainst: Adobe Audience Manager, Alation, IBM InfoSphere, Informatica MDM, Oracle BlueKai, Oracle Data Cloud, SAP Master Data Governance, Salesforce Audience Studio, Salesforce Marketing Cloud Advertising
Three alternatives
Hightouch, HubSpot Marketing Hub, SegmentFour alternatives
6sense, BlueConic, Demandbase, Tealium Customer Data HubEleven alternatives
Adobe Audience Manager, Collibra, Databricks Lakehouse, Fivetran, IBM Cloud Pak for Data, IBM InfoSphere, Profisee, Reltio, Salesforce Data Cloud, Snowflake, TalendFour alternatives
Census, Hightouch, RudderStack, SegmentSix alternatives
Amperity, BlueConic, Lotame Spherical, Segment, Treasure Data, mParticleLlama 4 Maverickno first choiceno first choiceHeldno first choiceno first choiceno first choicenothing named
Qwen 3.7 FlashBlueConicagainst: Adobe Real-Time CDP, SAPTerminusChangedagainst: 6sense, DemandbaseSnowflakeAdRollagainst: Adobe Audience Manager, Lotame Spherical, Oracle CDKno first choiceagainst: Adobe Real-Time CDP, Tealium Customer Data Hubagainst: Adobe Real-Time CDP, Oracle BlueKai, Permutive, SAP HANA Cloud, Salesforce Audience Studio, Salesforce Data Cloud
Two alternatives
HubSpot Content Hub, SegmentThree alternatives
AdRoll ABM, RudderStack, SegmentEight alternatives
Alation, Alteryx, Collibra, Databricks Lakehouse, Fivetran, Microsoft Fabric, Segment, dbtFour alternatives
Google Audience Center, HubSpot Marketing Hub, Mailchimp, Meta Audience ManagerOne alternative
SegmentKimi K2SegmentSegmentHeldagainst: Adobe Audience Manager, Lotame SphericalDatabricks Lakehouse, SnowflakeSegmentagainst: Adobe Audience Manager, Lotame Spherical, Oracle BlueKai, Permutiveno first choiceagainst: CredentialStream, Oracle Database/Cloud Solutions, Salesforce Data Cloud
Three alternatives
6sense, BlueConic, LeadspaceFour alternatives
6sense, Demandbase, Hightouch, Tealium Customer Data HubThree alternatives
Amazon Redshift, BigQuery, Microsoft Azure Synapse AnalyticsThree alternatives
Apache Unomi, BigQuery, Bringdata.coGLM 4.7 FlashXSegmentLeadspaceChangedDatabricks Lakehouse, Microsoft Fabric, SnowflakeRudderStackagainst: Segmentno first choicenothing named
Three alternatives
Apollo.io, Hightouch, Salesforce Data CloudTwo alternatives
Oracle BlueKai, Tealium Customer Data HubNine alternatives
Ataccama ONE, Fivetran, Hevo, Informatica PowerCenter, Looker, Microsoft Power BI, SAP Datasphere, Tableau, TalendThree alternatives
Amplitude, Google Analytics 4, MixpanelMiniMax M2.5BlueConic, Segmentno first choiceChangedno first choiceagainst: Oracle BlueKai, Salesforce Audience StudioClicDataagainst: Adobe Audience Managerno first choicenothing named
Three alternatives
Bloomreach, Simon Data, Tealium Customer Data HubSix alternatives
Adobe Audience Manager, Informatica Intelligent Data Management Cloud, Lotame Spherical, Microsoft Purview, Permutive, SnowflakeTwo alternatives
Google Audience Center, Versium REACHGPT-6 LunaHightouchagainst: Adobe Real-Time CDP B2B EditionHightouchHeldno first choiceGoogle Ads Data Manager / Customer Matchno first choicenothing named
Two alternatives
HubSpot Marketing Hub, SegmentOne alternative
DemandbaseTwo alternatives
Hightouch, HubSpot Free or StarterMuse Glimmer 30BBlueConic, Segmentagainst: ActionIQ, Adobe Real-Time CDPTealium Customer Data HubChangedagainst: Adobe Audience ManagerInformatica Intelligent Data Management Cloud IDMCAdform DMP, Hightouchagainst: Adobe Audience Manager, Lotame Sphericalno first choiceagainst: Lotame Spherical, Oracle BlueKai, Securiti
Four alternatives
Adobe Audience Manager, Hightouch, Lotame Spherical, Tealium Customer Data HubTwo alternatives
Lotame Spherical, SegmentNine alternatives
Adobe Audience Manager, Collibra Data Intelligence Cloud, Databricks Lakehouse, IBM Db2, IBM InfoSphere, SAP Datasphere, SAP Master Data Governance, Snowflake, Talend Data Fabric / Talend Open StudioFive alternatives
BlueConic, Google Analytics 4, Lytics, Nvecta, SegmentBold 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 08:17 | yes | 18 | 9 s |
| Direct recommendation | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 12:29 | yes | 3 | 5 s |
| Direct recommendation | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 07:57 | yes | 24 | 29 s |
| Direct recommendation | Perplexity Sonar | sonar | 2026-10-01 14:13 | yes | 20 | 3 s |
| Direct recommendation | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 08:23 | yes | 23 | 11 s |
| Direct recommendation | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 09:22 | yes | 5 | 6 s |
| Direct recommendation | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 12:20 | yes | 22 | 24 s |
| Direct recommendation | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 12:08 | yes | 5 | 2 s |
| Direct recommendation | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 14:12 | yes | 5 | 21 s |
| Direct recommendation | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 12:59 | yes | 24 | 23 s |
| Direct recommendation | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 08:36 | yes | 21 | 18 s |
| Direct recommendation | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 11:32 | yes | 20 | 46 s |
| Direct recommendation | GPT-6 Luna | gpt-6-luna | 2026-10-01 08:26 | yes | 4 | 14 s |
| Direct recommendation | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 13:08 | yes | 22 | 34 s |
| Paraphrase | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 13:23 | no | 0 | 4 s |
| Paraphrase | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 08:35 | yes | 3 | 4 s |
| Paraphrase | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 08:16 | yes | 13 | 30 s |
| Paraphrase | Perplexity Sonar | sonar | 2026-10-01 10:53 | yes | 18 | 3 s |
| Paraphrase | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 09:37 | yes | 20 | 7 s |
| Paraphrase | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 11:08 | yes | 5 | 3 s |
| Paraphrase | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 12:41 | yes | 23 | 23 s |
| Paraphrase | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 09:04 | yes | 5 | 2 s |
| Paraphrase | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 11:23 | yes | 20 | 70 s |
| Paraphrase | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 10:33 | yes | 25 | 25 s |
| Paraphrase | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 13:45 | yes | 22 | 22 s |
| Paraphrase | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 13:33 | yes | 10 | 40 s |
| Paraphrase | GPT-6 Luna | gpt-6-luna | 2026-10-01 09:38 | yes | 3 | 17 s |
| Paraphrase | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 13:52 | yes | 25 | 35 s |
| Comparative | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 11:33 | yes | 9 | 7 s |
| Comparative | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 11:37 | yes | 5 | 12 s |
| Comparative | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 13:34 | yes | 12 | 25 s |
| Comparative | Perplexity Sonar | sonar | 2026-10-01 10:31 | yes | 23 | 4 s |
| Comparative | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 10:00 | yes | 24 | 18 s |
| Comparative | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 07:43 | yes | 8 | 8 s |
| Comparative | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 11:39 | yes | 21 | 50 s |
| Comparative | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 08:44 | yes | 5 | 1 s |
| Comparative | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 07:25 | no | 0 | 30 s |
| Comparative | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 07:50 | yes | 15 | 23 s |
| Comparative | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 11:28 | yes | 20 | 119 s |
| Comparative | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 13:12 | yes | 17 | 46 s |
| Comparative | GPT-6 Luna | gpt-6-luna | 2026-10-01 14:10 | yes | 6 | 21 s |
| Comparative | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 13:00 | yes | 25 | 37 s |
| Budget constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 13:47 | yes | 18 | 8 s |
| Budget constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 10:42 | yes | 3 | 4 s |
| Budget constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 07:39 | yes | 16 | 26 s |
| Budget constrained | Perplexity Sonar | sonar | 2026-10-01 11:28 | yes | 18 | 2 s |
| Budget constrained | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 08:58 | yes | 25 | 11 s |
| Budget constrained | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 09:03 | yes | 15 | 6 s |
| Budget constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 10:41 | yes | 21 | 25 s |
| Budget constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 07:32 | yes | 5 | 2 s |
| Budget constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 10:15 | yes | 19 | 42 s |
| Budget constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 11:12 | yes | 10 | 17 s |
| Budget constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 12:17 | yes | 23 | 66 s |
| Budget constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 10:00 | yes | 5 | 19 s |
| Budget constrained | GPT-6 Luna | gpt-6-luna | 2026-10-01 12:38 | yes | 3 | 18 s |
| Budget constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 13:20 | yes | 14 | 16 s |
| Scale constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 08:50 | no | 0 | 6 s |
| Scale constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 10:44 | no | 0 | 6 s |
| Scale constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 11:10 | no | 0 | 15 s |
| Scale constrained | Perplexity Sonar | sonar | 2026-10-01 12:45 | yes | 18 | 6 s |
| Scale constrained | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 07:40 | yes | 19 | 11 s |
| Scale constrained | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 11:17 | no | 0 | 6 s |
| Scale constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 11:31 | yes | 21 | 51 s |
| Scale constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 09:02 | yes | 5 | 2 s |
| Scale constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 13:31 | no | 0 | 31 s |
| Scale constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 13:05 | yes | 8 | 27 s |
| Scale constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 11:30 | yes | 19 | 31 s |
| Scale constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 12:05 | yes | 10 | 26 s |
| Scale constrained | GPT-6 Luna | gpt-6-luna | 2026-10-01 12:12 | yes | 2 | 19 s |
| Scale constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 11:16 | yes | 15 | 27 s |
| Negative framing | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 09:02 | no | 0 | 2 s |
| Negative framing | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 12:14 | yes | 4 | 6 s |
| Negative framing | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 12:48 | yes | 19 | 20 s |
| Negative framing | Perplexity Sonar | sonar | 2026-10-01 07:47 | yes | 20 | 5 s |
| Negative framing | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 13:08 | yes | 24 | 9 s |
| Negative framing | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 10:54 | yes | 5 | 3 s |
| Negative framing | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 14:06 | yes | 25 | 63 s |
| Negative framing | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 08:54 | yes | 5 | 2 s |
| Negative framing | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 13:40 | yes | 10 | 31 s |
| Negative framing | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 12:10 | yes | 25 | 34 s |
| Negative framing | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 08:02 | no | 0 | 15 s |
| Negative framing | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 09:23 | yes | 7 | 20 s |
| Negative framing | GPT-6 Luna | gpt-6-luna | 2026-10-01 08:44 | yes | 2 | 10 s |
| Negative framing | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 12:18 | yes | 25 | 29 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
Databricks read as Databricks Lakehouse
Databricks (Lakehouse) read as Databricks Lakehouse
HubSpot read as HubSpot Marketing Hub
Informatica read as Informatica Intelligent Data Management Cloud
Informatica (Intelligent Data Management Cloud - IDMC) read as Informatica Intelligent Data Management Cloud
Informatica IDMC read as Informatica Intelligent Data Management Cloud
Lotame read as Lotame Spherical
Lotame Spherical Platform read as Lotame Spherical
Oracle read as Oracle BlueKai
Oracle DMP (Bluekai) read as Oracle BlueKai
Salesforce read as Salesforce Audience Studio
Semarchy read as Semarchy xDM
Snowflake Data Cloud read as Snowflake
Tealium read as Tealium Customer Data Hub
Tealium AudienceStream read as Tealium Customer Data Hub
Unresolved, counted raw
1010data
AWS Glue
AWS-native
Admixer DMP
Amundsen
Apache Kafka
Bringdata.co
Collibra Data Intelligence Cloud
CommCare
Databricks Data + AI Platform
Dieter
Google Ads Data Manager / Customer Match
Google Cloud
Google Cloud DMP/DV360
Google Cloud data management tools
IBM Data Management / IBM MDM stack
IBM DataStage
Informatica Intelligent Data Management / Cloud suite
Informatica Intelligent Data Management Cloud IDMC
Meta Audience Manager (within Business Manager)
Microsoft
Microsoft Azure Purview + Azure Data Factory + SQL Server SSIS / Fabric
Oracle CDK
Oracle Database
Oracle Database/Cloud Solutions
Oracle Modern Data Platform
Oracle’s defunct BlueKai
SAP
Salesforce Marketing Cloud Advertising (Advertising Studio)
Talend Data Fabric
Talend Data Fabric / Talend Open Studio
Unity Catalog
Zephr
mParticle Composable Audiences
Discontinued, still offered
No shut-down product was recommended here.