# Starburst Galaxy vs TIBCO Data Virtualization: which do AI models recommend for data virtualization, October 2026

IT AI Recommendation Index, October 2026 Edition, Data virtualization. Two of fourteen models named Starburst Galaxy first on the direct prompt; one named TIBCO Data Virtualization. Page: https://it-ai-index.com/it-data/data-virtualization/starburst-galaxy-vs-tibco-data-virtualization/

| | First-choice share | Rank | Negative rate | Labels | Models naming it |
|---|---|---|---|---|---|
| Starburst Galaxy | 13% | #3 of 10 | 0% | 13 | 9 of 14 |
| TIBCO Data Virtualization | 2% | #7 of 10 | 35% | 34 | 12 of 14 |

## The direct prompt, model by model

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

## What the models said about Starburst Galaxy

- "Choose Starburst Galaxy if you want the fastest setup, lowest administrative overhead, and variable costs that match your growth." (Qwen 3.7 Flash, direct prompt, first choice)
- "Starburst Galaxy stands out as one of the strongest options for a data virtualization platform" (Grok 4.1 Fast, budget prompt, first choice)
- "My default recommendation would be Starburst Galaxy for a mid-sized B2B company" (GPT-6 Luna, paraphrase prompt, first choice)

## What the models said about TIBCO Data Virtualization

- "one data science professional described their experience with a TIBCO-based platform as "so slow and shitty"" (DeepSeek V4 Flash, negative prompt, hard negative)
- "Highly proprietary enterprise suites like Denodo and TIBCO Data Virtualization ... tend to come with premium pricing, operational complexity, and a risk of lock-in" (GPT-5.4 mini, negative prompt, soft negative)
- "Older versions of platforms from Tibco, Cisco Data Virtualization, and legacy IBM offerings that haven't been updated for modern cloud workloads." (Kimi K2, negative prompt, soft negative)
- "Choose Starburst if you are building a modern data stack centered around cloud object storage (S3/ADLS) and need fast SQL queries over massive datasets." (Qwen 3.7 Flash, comparative prompt, first choice)
- "Informatica and TIBCO are top choices due to their scalability and integration capabilities" (Mistral Small, direct prompt, first choice)
- "Consider IBM Cloud Pak for Data or TIBCO Data Virtualization if your existing stack already leans toward those ecosystems" (Perplexity Sonar, direct prompt, alternative)

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.