Trino vs Starburst
Zero of fourteen models named Trino first on the direct prompt; zero named Starburst. Trino was named by eleven of the fourteen models and Starburst by eleven and Trino carries 15 labels and Starburst 31, so the shares are not directly comparable.
Named in two categories this edition.
Named in two categories 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.
By framing
TrinoFirst choices, of fourteen modelsStarburst
Across every category in the November 2026 Edition, Trino and Starburst were named in the same answer twenty-five times, of the 57 answers naming Trino and the 83 naming Starburst. In those answers Starburst took the first choice one time and Trino twelve.
Every model, every framing
| 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 | | | |
Trino Starburst first choice named as an alternative argued againstblank: not namedEach cell is one answer, Trino on the left and Starburst on the right.The direct prompt
Neither was the first choice, one was named
4 of 14 modelsThe answer put something else first and named one of the two as an alternative.Neither was named
10 of 14 modelsThe answer made no first choice from these two in this category.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.
By buyer segment
Starburst2%#3 of 9Trino0%#– of 9What the models said about Trino
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Five of six in this category shown.
“Trino’s documentation says its default access control allows all authenticated users, so authorization must be deliberately configured.” GPT-6 Luna · scale prompt · soft negative
“Avoid hosting self-managed Trino, Presto, or Apache Drill clusters unless you have dedicated platform engineers.” Gemini 3.5 Flash · paraphrase prompt · soft negative
“Trino is the best choice if you have even modest technical talent on your team — it's completely free, proven, and widely used” DeepSeek V4 Flash · budget prompt · first choice
“Best starting point: Trino is widely recommended as "the open-source default and the one most teams should try first."” Kimi K2 · budget prompt · first choice
“If you want the most active open-source community and pure SQL federation: start with Trino. It's free, well documented” Muse Glimmer 30B · budget prompt · first choice
What the models said about Starburst
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Five of six in this category shown.
“Starburst Galaxy at 2% first-choice share with 36% negative rate, 11 labels, “criticized challenger”” Muse Glimmer 30B · negative prompt · soft negative
“can be cost-prohibitive” Gemini 3.5 Flash · budget prompt · soft negative
“I recommend Starburst (built on Trino) as the top choice for a data fabric focused on federated queries.” Grok 4.20 · paraphrase prompt · first choice
“Denodo, Dremio, Starburst Galaxy, and AtScale tend to rank higher” Grok 4.20 · negative prompt · first choice
“start with Starburst Galaxy for managed federation” Muse Glimmer 30B · paraphrase 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.