Data virtualization for enterprise buyers
Asked as “data virtualization platform”, and as “data fabric for federated queries”, on behalf of an enterprise B2B company. 50 first choices recorded across the direct, paraphrase, budget and scale prompts, fourteen models each. Added to the November 2026 Edition.
Standing · first-choice share
84%
Clear leader
84Denodo04Microsoft Fabric02Dremio10others
84% of first choices, clear leader.
Since October 2026▼−2Since October 2026: 86% → 84%, −2 points. Inside the 11-point floor: within noise.Denodo held the lead, −2 points on 86%, 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
Starburst Galaxy25%Contested▲+8Since October 2026: 17% → 25%, +8 points. Inside the 11-point floor: within noise.Standing →Mid-market
Denodo31%Contested▲+3Since October 2026: 28% → 31%, +3 points. Inside the 11-point floor: within noise.Standing →EnterpriseDenodo84%Clear leader▼−2Since October 2026: 86% → 84%, −2 points. Inside the 11-point floor: within noise.This page
Starburst Galaxy25%Contested▲+8Since October 2026: 17% → 25%, +8 points. Inside the 11-point floor: within noise.Standing →Mid-marketDenodo31%Contested▲+3Since October 2026: 28% → 31%, +3 points. Inside the 11-point floor: within noise.Standing →EnterpriseDenodo84%Clear leader▼−2Since October 2026: 86% → 84%, −2 points. Inside the 11-point floor: within noise.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 October 2026
01Denodo84%8%73endorsed leader▼−2Since October 2026: 86% → 84%, −2 points. Inside the 11-point floor: within noise.86% → 84%
Denodo84%8%73endorsed leader▼−2Since October 2026: 86% → 84%, −2 points. Inside the 11-point floor: within noise.86% → 84%02
Microsoft Fabric4%8%13accepted challenger▲+4Since October 2026: 0% → 4%, +4 points. Inside the 11-point floor: within noise.0% → 4%
Microsoft Fabric4%8%13accepted challenger▲+4Since October 2026: 0% → 4%, +4 points. Inside the 11-point floor: within noise.0% → 4%03
Starburst2%3%29accepted challenger▲+2Since October 2026: 0% → 2%, +2 points. Inside the 11-point floor: within noise.0% → 2%
Starburst2%3%29accepted challenger▲+2Since October 2026: 0% → 2%, +2 points. Inside the 11-point floor: within noise.0% → 2%04
Dremio2%12%33accepted challenger=heldSince October 2026: 2% → 2%, ±0 points. Inside the 11-point floor: within noise.2% → 2%
Dremio2%12%33accepted challenger=heldSince October 2026: 2% → 2%, ±0 points. Inside the 11-point floor: within noise.2% → 2%05
TIBCO Data Virtualization2%24%41accepted challenger▼−3Since October 2026: 5% → 2%, −3 points. Inside the 11-point floor: within noise.5% → 2%
TIBCO Data Virtualization2%24%41accepted challenger▼−3Since October 2026: 5% → 2%, −3 points. Inside the 11-point floor: within noise.5% → 2%06
Informatica Intelligent Data Management Cloud2%26%35criticized challenger▲+2Since October 2026: 0% → 2%, +2 points. Inside the 11-point floor: within noise.0% → 2%
Informatica Intelligent Data Management Cloud2%26%35criticized challenger▲+2Since October 2026: 0% → 2%, +2 points. Inside the 11-point floor: within noise.0% → 2%Show the three products at 0%, ordered by negative rate
09
Oracle Data Virtualization0%21%14accepted challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise.0% → 0%
Oracle Data Virtualization0%21%14accepted challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise.0% → 0%08SAP HANA0%20%15accepted challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise.0% → 0%
07IBM Cloud Pak for Data0%12%17accepted challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise.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 can't be told apart from repeat variation, and both are shown. Each index measures its own floor from its own repeat, over its own categories, so the floor differs from one index to the next. Both editions asked the same fourteen models. 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.
Head to headHead-to-head pages are published for mid-market buyers, so these open on mid-market figures, not enterprise.
All twenty-eight head-to-head pages: the top eight products, each against each
Denodo vs StarburstDenodo vs CData VirtualityDenodo vs Microsoft FabricDenodo vs Informatica Intelligent Data Management CloudDremio vs Starburst GalaxyDremio vs TrinoDremio vs StarburstDremio vs CData VirtualityDremio vs Microsoft FabricDremio vs Informatica Intelligent Data Management CloudStarburst Galaxy vs TrinoStarburst Galaxy vs StarburstStarburst Galaxy vs CData VirtualityStarburst Galaxy vs Microsoft FabricStarburst Galaxy vs Informatica Intelligent Data Management CloudTrino vs StarburstTrino vs CData VirtualityTrino vs Microsoft FabricTrino vs Informatica Intelligent Data Management CloudStarburst vs CData VirtualityStarburst vs Microsoft FabricStarburst vs Informatica Intelligent Data Management CloudCData Virtuality vs Microsoft FabricCData Virtuality vs Informatica Intelligent Data Management CloudMicrosoft Fabric vs Informatica Intelligent Data Management Cloud
One product takes 84% of first choices here, so the chart would put eight markers in one corner and one at the far edge. The two measurements it plots are columns in the standing above: share, and the negative label rate. One product carries a negative rate above 25% in this category.
What they warned about
Nine of fourteen models held their first choice under the paraphrase. Claude Haiku 4.5, Mistral Small, Qwen 3.7 Flash, 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.
TIBCO Data Virtualization24%
10 of 41 labels negative · 9 of 14 models · 3 hard negative
“It has a high negative share on AI models' recommendations, with 23% of labels being negative. The main criticisms include being complex to set up and configure” Llama 4 Maverick, negative prompt
Informatica Intelligent Data Management Cloud26%
9 of 35 labels negative · 6 of 14 models · 1 hard negative
“Has a high negative rating among enterprise buyers, with users citing issues such as complexity, cost, and integration difficulties.” Mistral Small, negative prompt
Denodo8%
6 of 73 labels negative · 5 of 14 models · 1 hard negative
“general support ending in June 2026; extended support is limited” GPT-6 Luna, negative prompt
Dremio12%
4 of 33 labels negative · 4 of 14 models · 1 hard negative
“Avoid platforms that rely heavily on Per-User or Pay-as-you-go Compute Credits (common in some cloud-native lakehouse tools like early-stage versions of Dremio or Starburst Galaxy” Muse Glimmer 30B, budget prompt
What they cite
Fourteen of the fourteen models returned a source list in this edition: five return the pages they cited and nine the search results they consulted.
Sites the answers cite
76 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. 1003 links across 290 sites, every framing counted. Ranked by the number of answers carrying the site or page. 76 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 · Denodo32 answers · 57 citations · 10 models
vendor site · G231 answers · 49 citations · 10 models
28 answers · 28 citations · 11 models
publisher (Gane)24 answers · 29 citations · 9 models
vendor site · Promethium22 answers · 33 citations · 10 models
19 answers · 22 citations · 9 models
19 answers · 20 citations · 9 models
17 answers · 17 citations · 9 models
16 answers · 17 citations · 9 models
vendor site · Airbyte15 answers · 16 citations · 8 models
vendor site · Denodo14 answers · 23 citations · 7 models
14 answers · 15 citations · 8 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.
27 answers · 11 models
24 answers · 9 models
22 answers · 8 models
19 answers · 9 models
14 answers · 8 models
14 answers · 8 models
13 answers · 8 models
12 answers · 8 models
10 answers · 9 models
10 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 virtualization platform”, “data virtualization platform”, “data virtualization platforms”. 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 | Google ads, last 30 days | Best Google position |
|---|---|---|---|---|---|---|---|
| Denodo denodo.com | 84% | 187 | 2,400 | 109 | 13,422 | 35 | 1 |
| Microsoft parent site Microsoft Fabric 4% | 4% | 38 | 2,240,000 | 403,136 | |||
| Starburst starburst.io Starburst 2%, Starburst Galaxy 2% | 4% | 71 | 74,000 | 12,470 | 6,703 | 25 | |
| Dremio dremio.com | 2% | 107 | 2,900 | 99 | 55,606 | 0 | 8 |
| TIBCO Data Virtualization tibco.com | 2% | 96 | 70 | 3 | 48,161 | ||
| Informatica Intelligent Data Management Cloud informatica.com | 2% | 366 | 390 | 1 | 73,321 | 120 | |
| IBM parent site IBM Data Fabric 2%, IBM Cloud Pak for Data 0%, IBM Data Virtualization 0%, IBM watsonx.data 0% | 2% | 27 | 201,000 | 34,098 | |||
| SAP parent site SAP HANA 0%, SAP Business Data Cloud 0%, SAP Datasphere 0% | 0% | 40 | 135,000 | 74,309 | |||
| Oracle parent site Oracle Data Virtualization 0% | 0% | 26 | 450,000 | 66,611 | |||
| CData Virtuality cdata.com | 0% | 30 | 20 | 1 | 19,412 | 120 |
Google's top ten for the three searches hold 19 sites; 3 of them are among the sites the models cited here (denodo.com, promethium.ai, thectoclub.com). The first result for “best data virtualization 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 data virtualization platform for an enterprise B2B company?”Paraphrase“Which data fabric for federated queries would you recommend to a large B2B company with thousands of employees?”Comparative“What are the top enterprise-grade data virtualization platforms and how do they differ?”Budget-constrained“What is the best data virtualization 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 data virtualization platform. What should we look at?”Negative“Which data virtualization platforms should a large enterprise avoid or be cautious about?”
Claude Haiku 4.5no first choiceDenodo, Informatica Intelligent Data Management CloudChangedDenodoDenodono first choicenothing named
One alternative
StarburstThree alternatives
IBM Cloud Pak for Data, SAP HANA, TIBCO Data VirtualizationTwo alternatives
IBM Cloud Pak for Data, TIBCO Data VirtualizationGPT-5.4 miniDenodoDenodoHeldDenodoDenodoagainst: CData Connect AIno first choicenothing named
Two alternatives
Dremio, IBM Data VirtualizationThree alternatives
Databricks Lakehouse Federation, IBM data fabric architecture, Microsoft FabricFive alternatives
Dremio, IBM Data Virtualization, Red Hat JBoss Data Virtualization, SAP Data Virtualization, TIBCO Data VirtualizationGemini 3.5 FlashDenodoDenodoHeldDenodoDenodono first choiceagainst: Amazon Athena, Apache Drill, Azure Synapse Link, Google Cloud BigQuery Omni, Legacy IBM InfoSphere Federation Server, Microsoft SQL Server Linked Servers, Oracle Database Links, PostgreSQL Foreign Data Wrappers, Presto, Red Hat JBoss Data Virtualization, TIBCO Data Virtualization, Teiid, Trino
Four alternatives
Dremio, K2View Data Product Platform, Spotfire Data Virtualization, StarburstFive alternatives
Databricks Unity Catalog, Dremio, IBM Cloud Pak for Data, Microsoft Fabric, StarburstFive alternatives
Dremio, IBM watsonx.data, SAP Datasphere, Starburst, TIBCO Data VirtualizationTwo alternatives
Dremio Enterprise, StarburstPerplexity SonarDenodoDenodoHeldDenodoDenodono first choiceagainst: Accelario, AtScale, CData, Delphix, IBM, Informatica Intelligent Data Management Cloud, Red Hat JBoss Data Virtualization, SAP, Trino
Six alternatives
IBM Cloud Pak for Data, Informatica Intelligent Data Management Cloud, Microsoft Fabric, SAP HANA, Starburst, TrinoFour alternatives
Cloudera Unified Data Fabric, IBM Data Fabric, Microsoft Fabric, StarburstSix alternatives
Dremio, IBM watsonx.data, Informatica Intelligent Data Management Cloud, SAP Datasphere, Starburst, TIBCO Data VirtualizationTwo alternatives
CData Virtuality, TIBCO Data VirtualizationGrok 4.20DenodoDenodoHeldagainst: Informatica Intelligent Data Management Cloud, Oracle Data VirtualizationDenodoagainst: Apache Drill, Presto, Red HatDenodoagainst: Databricks Lakehouse Federation, Dremio, Google BigQuery, IBM watsonx, Informatica Intelligent Data Management Cloud, SAP HANA, Starburst, Teiid, TrinoDenodoagainst: Composite Software, Informatica Intelligent Data Management Cloud, Oracle Data Virtualization, SAP, TIBCO Data Virtualization, Talend
Three alternatives
Informatica Intelligent Data Management Cloud, SAP HANA, TIBCO Data VirtualizationTwo alternatives
Microsoft Fabric, Teradata Query FabricFive alternatives
IBM Watson Data Virtualization, Informatica Intelligent Data Management Cloud, Microsoft Fabric, Oracle Data Virtualization, TIBCO Data VirtualizationOne alternative
TIBCO Data VirtualizationTwo alternatives
Starburst, TIBCO Data VirtualizationMistral SmallDenodoMicrosoft FabricChangedDenodoDenodono first choiceagainst: Denodo, Dremio, IBM Data Virtualization, Informatica Intelligent Data Management Cloud, TIBCO Data Virtualization
One alternative
Informatica Intelligent Data Management CloudThree alternatives
Denodo, Informatica Intelligent Data Management Cloud, StarburstSix alternatives
Dremio, IBM Cloud Pak for Data, Informatica Data Integration and Engineering, SAP HANA, Starburst Galaxy, TIBCO Data VirtualizationDeepSeek V4 FlashDenodoDenodoHeldagainst: Cloudera Data Platform, Informatica Intelligent Data Management Cloud, Microsoft Fabric, Oracle Data VirtualizationDenodoDenodoagainst: Informatica Intelligent Data Management CloudDenodoagainst: IBM Cloud Pak for Dataagainst: Cisco Information Server / Cisco Data Virtualization, Data Virtuality, Denodo, Red Hat JBoss Data Virtualization, SAP HANA, TIBCO Data Virtualization
Four alternatives
IBM Cloud Pak for Data, Informatica Intelligent Data Management Cloud, Oracle Data Virtualization, SAP HANAOne alternative
StarburstFour alternatives
Dremio, Informatica Intelligent Data Management Cloud, Starburst, TIBCO Data VirtualizationOne alternative
DremioTwo alternatives
Dremio, StarburstLlama 4 MaverickDenodoDenodoHeldDenodoDenodono first choiceagainst: Data Virtuality, TIBCO Data Virtualization
One alternative
SAP Business Data CloudThree alternatives
CData Virtuality, Dremio, TIBCO Data VirtualizationThree alternatives
CData Virtuality, Oracle Data Virtualization, TIBCO Data VirtualizationQwen 3.7 FlashDenodo, DremioDenodoChangedDenodoDenodoDenodoagainst: Apache Drill, TIBCO Data Virtualization
One alternative
Informatica Intelligent Data Management CloudTwo alternatives
Microsoft Fabric, StarburstFive alternatives
Dremio, Exasol, Qlik Replicate / Sense, StarTree, StriimTwo alternatives
Actian PDQ, TrinoFour alternatives
Dremio, IBM InfoSphere, Starburst Data, TIBCO Data VirtualizationKimi K2DenodoDenodoHeldagainst: Informatica Intelligent Data Management CloudDenodoagainst: DremioTIBCO Data Virtualizationagainst: Denodo, Starburst GalaxyDenodo, Starburst Galaxyagainst: AtScaleagainst: Denodo, IBM Cloud Pak for Data Virtualization, TIBCO Data Virtualization
Four alternatives
IBM Cloud Pak for Data, Informatica Intelligent Data Management Cloud, Red Hat JBoss Data Virtualization, TIBCO Data VirtualizationTwo alternatives
IBM Cloud Pak for Data, Starburst GalaxySix alternatives
Azure, IBM Cloud Pak for Data, Informatica Intelligent Data Management Cloud, Microsoft Fabric, Starburst, TIBCO Data VirtualizationGLM 4.7 FlashXDenodoStarburstChangedDenodoDenodono first choiceagainst: OpenLink Virtuoso, Rocket Data Virtualization, ibi Omni‑Gen
Four alternatives
Actian Data Platform, Data Virtuality, Informatica Intelligent Data Management Cloud, Qlik Data IntegrationTwo alternatives
Denodo, Microsoft FabricFour alternatives
IBM Cognos Analytics, Informatica Intelligent Data Management Cloud, SAP HANA, Starburst GalaxyOne alternative
TIBCO Data VirtualizationMiniMax M2.5DenodoIBM Data Fabric, Microsoft FabricChangedDenodoDenodoagainst: IBM Cloud Pak for DataDenodonothing named
Three alternatives
IBM Cloud Pak for Data, Informatica Intelligent Data Management Cloud, Oracle Data VirtualizationTwo alternatives
Databricks Lakehouse Federation, SAP Business Data CloudSix alternatives
Cisco Information Server, Dremio, IBM Data Virtualization, Informatica Intelligent Data Management Cloud, Oracle Data Virtualization, SAP HANATwo alternatives
TIBCO Data Virtualization, Trino with StarburstThree alternatives
Informatica Intelligent Data Management Cloud, Oracle Data Virtualization, TIBCO Data VirtualizationGPT-6 LunaDenodoDenodoHeldDenodo, Spotfire Data VirtualizationDenodono first choiceagainst: Denodo, Dremio Community Edition, IBM Data Virtualization Manager for z/OS, IBM Data Virtualization as a Service, TIBCO Data Virtualization
One alternative
StarburstTwo alternatives
Dremio, StarburstThree alternatives
Dremio, IBM Data Virtualization, StarburstTwo alternatives
Starburst Galaxy, TrinoMuse Glimmer 30BDenodoDenodoHeldDenodoDenodoagainst: Dremio, Starburst Galaxy, TIBCO Data Virtualizationno first choiceagainst: AWS Glue, Delphix Test Data Management / Delphix virtualization, Denodo, Informatica Intelligent Data Management Cloud, SAP HANA, TIBCO Data Virtualization
One alternative
Informatica Intelligent Data Management CloudThree alternatives
Informatica Intelligent Data Management Cloud, Microsoft Fabric, SAP Business Data FabricFive alternatives
IBM Cloud Pak for Data, Informatica Intelligent Data Management Cloud, Oracle Data Virtualization, SAP HANA, TIBCO Data VirtualizationBold 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.
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 | 2026-11-01 18:21 | no | 0 | 4 s |
| Direct recommendation | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 12:00 | yes | 3 | 5 s |
| Direct recommendation | Gemini 3.5 Flash | gemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version) | 2026-11-01 15:33 | yes | 4 | 21 s |
| Direct recommendation | Perplexity Sonar | sonar | 2026-11-01 08:58 | yes | 10 | 4 s |
| Direct recommendation | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 14:16 | yes | 10 | 12 s |
| Direct recommendation | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 14:42 | yes | 5 | 4 s |
| Direct recommendation | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 17:45 | yes | 8 | 18 s |
| Direct recommendation | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 18:14 | yes | 5 | 2 s |
| Direct recommendation | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 15:32 | yes | 5 | 32 s |
| Direct recommendation | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 08:57 | yes | 20 | 28 s |
| Direct recommendation | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 19:05 | yes | 25 | 21 s |
| Direct recommendation | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 17:01 | yes | 5 | 20 s |
| Direct recommendation | GPT-6 Luna | gpt-6-luna | 2026-11-01 11:38 | yes | 3 | 16 s |
| Direct recommendation | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 11:54 | yes | 11 | 17 s |
| Paraphrase | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 11:16 | yes | 17 | 8 s |
| Paraphrase | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 09:03 | yes | 4 | 5 s |
| Paraphrase | Gemini 3.5 Flash | gemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version) | 2026-11-01 18:20 | no | 0 | 15 s |
| Paraphrase | Perplexity Sonar | sonar | 2026-11-01 17:57 | yes | 10 | 5 s |
| Paraphrase | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 16:01 | yes | 5 | 9 s |
| Paraphrase | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 18:01 | yes | 5 | 5 s |
| Paraphrase | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 10:56 | yes | 23 | 25 s |
| Paraphrase | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 13:52 | yes | 5 | 3 s |
| Paraphrase | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 17:36 | yes | 5 | 21 s |
| Paraphrase | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 15:50 | yes | 24 | 35 s |
| Paraphrase | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 10:34 | yes | 24 | 128 s |
| Paraphrase | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 18:07 | yes | 9 | 51 s |
| Paraphrase | GPT-6 Luna | gpt-6-luna | 2026-11-01 17:32 | yes | 3 | 13 s |
| Paraphrase | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 09:36 | yes | 15 | 17 s |
| Comparative | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 13:41 | yes | 17 | 9 s |
| Comparative | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 17:06 | yes | 6 | 9 s |
| Comparative | Gemini 3.5 Flash | gemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version) | 2026-11-01 09:55 | yes | 6 | 18 s |
| Comparative | Perplexity Sonar | sonar | 2026-11-01 08:40 | yes | 10 | 6 s |
| Comparative | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 19:06 | yes | 10 | 14 s |
| Comparative | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 15:43 | yes | 9 | 11 s |
| Comparative | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 11:04 | yes | 23 | 34 s |
| Comparative | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 11:38 | yes | 5 | 2 s |
| Comparative | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 11:14 | no | 0 | 33 s |
| Comparative | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 16:22 | yes | 20 | 39 s |
| Comparative | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 13:59 | yes | 23 | 30 s |
| Comparative | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 14:15 | yes | 24 | 48 s |
| Comparative | GPT-6 Luna | gpt-6-luna | 2026-11-01 16:02 | yes | 5 | 24 s |
| Comparative | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 10:00 | yes | 24 | 36 s |
| Budget constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 17:07 | yes | 18 | 8 s |
| Budget constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 17:45 | yes | 2 | 4 s |
| Budget constrained | Gemini 3.5 Flash | gemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version) | 2026-11-01 16:27 | no | 0 | 15 s |
| Budget constrained | Perplexity Sonar | sonar | 2026-11-01 13:57 | yes | 10 | 3 s |
| Budget constrained | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 13:56 | yes | 13 | 13 s |
| Budget constrained | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 16:27 | yes | 5 | 4 s |
| Budget constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 15:04 | yes | 24 | 18 s |
| Budget constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 17:24 | yes | 5 | 3 s |
| Budget constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 15:12 | no | 0 | 29 s |
| Budget constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 12:22 | yes | 23 | 22 s |
| Budget constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 16:48 | yes | 25 | 20 s |
| Budget constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 08:54 | yes | 25 | 110 s |
| Budget constrained | GPT-6 Luna | gpt-6-luna | 2026-11-01 19:10 | yes | 3 | 20 s |
| Budget constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 18:30 | yes | 22 | 28 s |
| Scale constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 12:33 | yes | 37 | 22 s |
| Scale constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 16:17 | no | 0 | 10 s |
| Scale constrained | Gemini 3.5 Flash | gemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version) | 2026-11-01 13:39 | no | 0 | 21 s |
| Scale constrained | Perplexity Sonar | sonar | 2026-11-01 11:51 | yes | 10 | 10 s |
| Scale constrained | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 14:34 | yes | 15 | 20 s |
| Scale constrained | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 18:59 | no | 0 | 11 s |
| Scale constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 15:59 | yes | 25 | 79 s |
| Scale constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 09:23 | yes | 5 | 3 s |
| Scale constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 18:54 | yes | 10 | 44 s |
| Scale constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 16:56 | yes | 25 | 69 s |
| Scale constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 08:40 | yes | 13 | 176 s |
| Scale constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 14:16 | yes | 22 | 45 s |
| Scale constrained | GPT-6 Luna | gpt-6-luna | 2026-11-01 11:47 | yes | 3 | 23 s |
| Scale constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 13:50 | yes | 25 | 34 s |
| Negative framing | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 10:24 | yes | 17 | 9 s |
| Negative framing | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 14:44 | yes | 5 | 7 s |
| Negative framing | Gemini 3.5 Flash | gemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version) | 2026-11-01 10:50 | yes | 7 | 27 s |
| Negative framing | Perplexity Sonar | sonar | 2026-11-01 16:10 | yes | 10 | 6 s |
| Negative framing | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 13:54 | yes | 13 | 15 s |
| Negative framing | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 19:13 | yes | 10 | 7 s |
| Negative framing | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 13:39 | yes | 25 | 52 s |
| Negative framing | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 09:09 | yes | 5 | 3 s |
| Negative framing | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 13:45 | yes | 15 | 49 s |
| Negative framing | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 08:56 | yes | 25 | 31 s |
| Negative framing | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 11:12 | yes | 25 | 101 s |
| Negative framing | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 16:35 | yes | 9 | 44 s |
| Negative framing | GPT-6 Luna | gpt-6-luna | 2026-11-01 13:31 | yes | 5 | 26 s |
| Negative framing | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 14:43 | yes | 22 | 33 s |
Normalization in this category
Every judgment call made between the raw labels and the numbers above, listed so it is visible and reversible.
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Category-scoped readings
Databricks read as Databricks Lakehouse Federation
Informatica read as Informatica Intelligent Data Management Cloud
Informatica (CLAIRE) read as Informatica Intelligent Data Management Cloud
Informatica (Cloud Data Integration) read as Informatica Intelligent Data Management Cloud
Informatica (Intelligent Data Management Cloud / IDMC) read as Informatica Intelligent Data Management Cloud
Informatica (Intelligent Data Management Cloud) read as Informatica Intelligent Data Management Cloud
Informatica Data Virtualization read as Informatica Intelligent Data Management Cloud
Oracle read as Oracle Data Virtualization
Red Hat Data Virtualization / JBoss Data Virtualization read as Red Hat JBoss Data Virtualization
TIBCO read as TIBCO Data Virtualization
Unresolved, counted raw
Actian Data Platform
Actian PDQ
Cisco Information Server (Data Virtualization)
Cisco Information Server / Cisco Data Virtualization (Data Virtualization Suite)
Composite Software
Delphix Test Data Management / Delphix virtualization
Dremio
Dremio Enterprise
Google Cloud BigQuery Omni
IBM Cloud Pak for Data Virtualization
IBM Data Virtualization Manager
IBM Data Virtualization as a Service (DVaaS)
IBM Data Virtualization in Cloud Pak for Data
IBM Watson Data Virtualization
IBM Watson Query
IBM data fabric architecture
Legacy IBM InfoSphere Federation Server
OpenLink Virtuoso
PostgreSQL Foreign Data Wrappers (FDWs)
PrestoDB
Qlik Replicate / Sense
Rocket Data Virtualization
SAP Data Virtualization
SAP HANA Smart Data Integration
StarTree
Stratio BD
Teradata Query Fabric
Trino with Starburst
ibi Omni‑Gen
Discontinued, still offered
No shut-down product was recommended here.