# Denodo vs Dremio: which do AI models recommend for data virtualization, October 2026

IT AI Recommendation Index, October 2026 Edition, Data virtualization. Eight of fourteen models named Denodo first on the direct prompt; one named Dremio. Page: https://it-ai-index.com/it-data/data-virtualization/denodo-vs-dremio/

| | First-choice share | Rank | Negative rate | Labels | Models naming it |
|---|---|---|---|---|---|
| Denodo | 28% | #1 of 10 | 35% | 66 | 14 of 14 |
| Dremio | 9% | #5 of 10 | 3% | 35 | 12 of 14 |

## The direct prompt, model by model

- Claude Haiku 4.5: denodo first (first choices: Denodo) (alternatives: CData Virtuality, Dremio, TIBCO Data Virtualization)
- GPT-5.4 mini: denodo first (first choices: Denodo) (alternatives: IBM Data Virtualization, TIBCO Data Virtualization)
- Perplexity Sonar: denodo first (first choices: Denodo) (alternatives: CData Virtuality, IBM Cloud Pak for Data, TIBCO Data Virtualization)
- Grok 4.1 Fast: denodo first (first choices: Denodo) (alternatives: Dremio, IBM Data Virtualization, Starburst Galaxy, TIBCO Data Virtualization)
- DeepSeek V4 Flash: denodo first (first choices: Denodo) (alternatives: Dremio, Starburst Galaxy, TIBCO Data Virtualization)
- GLM 4.7 FlashX: denodo first (first choices: Denodo) (alternatives: IBM watsonx.data, Informatica Data Virtualization, TIBCO Data Virtualization)
- MiniMax M2.5: denodo first (first choices: Denodo) (alternatives: TIBCO Data Virtualization, Teiid, Trino)
- GPT-6 Luna: denodo first (first choices: Denodo) (alternatives: Dremio, Starburst)
- Muse Glimmer 30B: dremio first (first choices: AtScale, Dremio) (alternatives: Denodo, TIBCO Data Virtualization)
- Gemini 3.5 Flash: neither first, one named (first choices: CData Virtuality) (alternatives: CData Connect Cloud, Denodo, Dremio)
- Qwen 3.7 Flash: neither first, one named (first choices: Starburst Galaxy) (alternatives: Dremio)
- Mistral Small: neither named (first choices: Informatica Data Virtualization, TIBCO Data Virtualization) (alternatives: CData Virtuality, IBM Data Virtualization, Red Hat JBoss Data Virtualization)
- Llama 4 Maverick: neither named
- Kimi K2: neither named (first choices: Starburst Galaxy) (alternatives: CData Connect Cloud, Dremio Cloud)

## What the models said about Denodo

- "What to Avoid on a Tight Budget ... Denodo | ~$180,000/year | Enterprise pricing is out of reach" (DeepSeek V4 Flash, budget prompt, hard negative)
- "Premium enterprise - avoid for limited budgets" (Kimi K2, budget prompt, hard negative)
- "Highly proprietary enterprise suites like Denodo and TIBCO Data Virtualization can be strong technically, but they tend to come with premium pricing, operational complexity, and a risk of lock-in" (GPT-5.4 mini, negative prompt, soft negative)
- "the strongest default choice is usually Denodo if you need broad connectivity, governance, and a mature enterprise-grade virtualization layer" (Perplexity Sonar, direct prompt, first choice)
- "Choose Denodo if you need the most comprehensive, enterprise-grade data virtualization with the broadest source connectivity and governance." (DeepSeek V4 Flash, comparative prompt, first choice)
- "Denodo is a pure-play logical data fabric, while TIBCO emphasizes a semantic layer and SQL-based cross-source joins with pushdown." (Muse Glimmer 30B, comparative prompt, first choice)

## What the models said about Dremio

- "Choose Dremio if you're building a modern lakehouse with self-service analytics (with caution given recent SAP acquisition)" (Kimi K2, comparative prompt, soft negative)
- "Start with Starburst Enterprise or Dremio Cloud. Both give federated SQL with push-down execution, consumption-based pricing" (Muse Glimmer 30B, paraphrase prompt, first choice)
- "Choose Dremio (Community or Cloud). It gives you the best balance of "free" and "enterprise-grade" features." (Gemini 3.5 Flash, budget prompt, first choice)
- "should look at AtScale or Dremio" (Muse Glimmer 30B, direct prompt, first choice)

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; rank is within the category. Comparisons are drawn for the top eight products in each category. Published under CC BY 4.0; the output is the models' output, and nothing here is a recommendation by the index.