Ten of fourteen models named Denodo first on the direct prompt; one named Dremio. Denodo was named by fourteen of the fourteen models and Dremio by thirteen and Denodo carries 66 labels and Dremio 44, so the shares are not directly comparable.
Named in two categories this edition.
Named in one category this edition.
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; every quote names the model and the prompt it came from. Both figures come from the data virtualization page.
Across every category in the November 2026 Edition, Denodo and Dremio were named in the same answer 111 times, of the 208 answers naming Denodo and the 121 naming Dremio. In those answers Dremio took the first choice twenty-one times and Denodo forty-two.
| Model | Direct | Paraphrase | Comparative | Budget-constrained | Scale-constrained | Negative |
|---|---|---|---|---|---|---|
| Claude Haiku 4.5 | ||||||
| GPT-5.4 mini | ||||||
| Gemini 3.5 Flash | ||||||
| Perplexity Sonar | ||||||
| Grok 4.20 | ||||||
| Mistral Small | ||||||
| DeepSeek V4 Flash | ||||||
| Llama 4 Maverick | ||||||
| Qwen 3.7 Flash | ||||||
| Kimi K2 | ||||||
| GLM 4.7 FlashX | ||||||
| MiniMax M2.5 | ||||||
| GPT-6 Luna | ||||||
| Muse Glimmer 30B |
Bold names in an answer are the products the judge labeled a first choice; a model naming several gives each of them that label. The full answer text for every row is in the record.
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“You generally want to avoid heavy, legacy Virtual Data Platforms (VDPs) like Denodo (which require expensive consulting contracts)” Qwen 3.7 Flash · paraphrase prompt · hard negative
“To Avoid on a Tight Budget - Denodo — While a market leader, pricing starts around $0.08/GB and can get very expensive” DeepSeek V4 Flash · budget prompt · hard negative
“While Denodo is generally well-regarded (4.3-4.6 ratings), some users note performance degradation with deeply nested views and complex multi-database joins.” MiniMax M2.5 · negative prompt · soft negative
“one of the most recognized enterprise data virtualization platforms... choice tends to be driven by need for enterprise-grade logical data fabric with deep governance, Denodo and Informatica” Muse Glimmer 30B · comparative prompt · first choice
“Denodo Platform (or its cloud-managed variant, Denodo Agora) is generally the best data virtualization platform for a mid-market B2B company.” Grok 4.20 · direct prompt · first choice
“Start with Denodo, IBM, or Spotfire Data Virtualization if you need a governed access layer used by multiple applications” GPT-6 Luna · comparative prompt · first choice
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“Weaker for pure federation (fewer connectors, ~28), struggles with high concurrency; cloud roadmap has been uncertain” DeepSeek V4 Flash · paraphrase prompt · soft negative
“criticized for relying heavily on per-user or pay-as-you-go compute credits, which can be costly” Llama 4 Maverick · negative prompt · soft negative
“Recently acquired by SAP; future roadmap uncertain; more lakehouse-focused than pure federation” Kimi K2 · paraphrase prompt · soft negative
“Highly recommended for its ability to accelerate analytics on any data source and reduce warehouse bills, making it a strong choice for cost efficiency.” Mistral Small · budget prompt · first choice
“Dremio is likely your best choice due to its transparent, consumption-based pricing model and modern architecture” Claude Haiku 4.5 · budget prompt · first choice
“If you want a free, full-featured platform with a great user interface, start with Dremio Community Edition.” Gemini 3.5 Flash · budget prompt · first choice
Comparisons are drawn for the top eight products in each category, each against each. The output is the models' output; nothing here is a recommendation by the index.