Zero of twelve models named Tealium first on the direct prompt; zero named BigQuery. Tealium was named by ten of the twelve models and BigQuery by nine and Tealium carries 17 labels and BigQuery 12, so the shares are not directly comparable.
San Diego, United States, founded 2008. Named in six categories this edition.
By Google Cloud Platform, founded 2008. Named in three categories this edition.
Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all twelve 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 management platforms page.
| Model | Direct | Paraphrase | Comparative | Budget-constrained | Scale-constrained | Negative |
|---|---|---|---|---|---|---|
| Claude Haiku 4.5 | ||||||
| GPT-5.4 mini | ||||||
| Gemini 3.5 Flash | ||||||
| Perplexity Sonar | ||||||
| Grok 4.1 Fast | ||||||
| Mistral Small | ||||||
| DeepSeek V4 Flash | ||||||
| Llama 4 Maverick | ||||||
| Qwen 3.7 Flash | ||||||
| Kimi K2 | ||||||
| GLM 4.7 FlashX | ||||||
| MiniMax M2.5 |
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. Two of two in this category shown.
“Twilio Segment (formerly Segment), Tealium, or mParticle... This is usually the safest bet for a 500-person company.” Qwen 3.7 Flash · scale prompt · first choice
“start by evaluating CDPs with strong advertising activation (like Segment, Tealium, or ActionIQ)” Kimi K2 · scale prompt · first choice
No label in this category carried a quote.
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.