# Trino vs Starburst: which do AI models recommend for data virtualization, October 2026

IT AI Recommendation Index, October 2026 Edition, Data virtualization. Zero of fourteen models named Trino first on the direct prompt; zero named Starburst. Page: https://it-ai-index.com/it-data/data-virtualization/trino-vs-starburst/

| | First-choice share | Rank | Negative rate | Labels | Models naming it |
|---|---|---|---|---|---|
| Trino | 15% | #2 of 10 | 17% | 18 | 10 of 14 |
| Starburst | 11% | #4 of 10 | 6% | 32 | 13 of 14 |

## The direct prompt, model by model

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

## What the models said about Trino

- "Trino/Starburst-style solutions can work well, but they may be the wrong choice if your use case needs heavy governance, complex business semantics" (GPT-5.4 mini, negative prompt, soft negative)
- "called out as open-source platforms with no certifications, which makes them risky in regulated environments" (Perplexity Sonar, negative prompt, soft negative)
- "Be cautious if you lack the team to own connectors, upgrades, security, and query tuning." (GPT-6 Luna, negative prompt, soft negative)
- "Start with Trino if you have technical resources - it's the most widely adopted open-source option" (Kimi K2, budget prompt, first choice)
- "Trino is the best data virtualization platform for a company with a limited budget" (MiniMax M2.5, budget prompt, first choice)
- "Trino if you have technical talent and want to avoid licensing costs entirely" (GLM 4.7 FlashX, budget prompt, first choice)

## What the models said about Starburst

- "Starburst | Contact sales (commercial) | While Trino-based, paid plans get expensive" (DeepSeek V4 Flash, budget prompt, hard negative)
- "Starburst | Modern, Trino-based, cloud-native | Newer, smaller ecosystem" (Kimi K2, scale prompt, soft negative)
- "Leaders like Denodo ... Starburst consistently rank high for enterprise use, with strong governance and hybrid support." (Grok 4.1 Fast, negative prompt, first choice)
- "Start with Starburst Enterprise or Dremio Cloud... Starburst is the more "pure" federated query engine" (Muse Glimmer 30B, paraphrase prompt, first choice)
- "I recommend Starburst (using the open-source Trino engine) as the primary choice" (Qwen 3.7 Flash, paraphrase 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.