Vena vs Datarails
Four of fourteen models named Vena first on the direct prompt; zero named Datarails. Vena was named by thirteen of the fourteen models and Datarails by eight and Vena carries 40 labels and Datarails 12, so the shares are not directly comparable.
Named in ten categories this edition.
Named in ten 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 corporate performance management page.
By framing
VenaFirst choices, of fourteen modelsDatarails
Across every category in the November 2026 Edition, Vena and Datarails were named in the same answer 221 times, of the 468 answers naming Vena and the 406 naming Datarails. In those answers Datarails took the first choice twenty-one times and Vena nine.
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 | | |
Vena Datarails first choice named as an alternative argued againstblank: not namedEach cell is one answer, Vena on the left and Datarails on the right.The direct prompt
Vena first, Datarails an alternative
4 of 14 modelsDatarails was named in the answer but not as the choice, or not at all.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
6 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
Vena0%#10 of 13Datarails0%#– of 13What the models said about Vena
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Four of four in this category shown.
“Options to AVOID on a Limited Budget ... | Vena | ~$50K–$150K/year” DeepSeek V4 Flash · budget prompt · hard negative
“Choose Vena if adoption speed and Excel familiarity are critical and you are Microsoft-centric; it leads on operational planning and ease of implementation” Muse Glimmer 30B · direct prompt · first choice
“Frequently recognized as a leader in EPM for mid-market, known for its Excel-like interface and strong financial planning capabilities” MiniMax M2.5 · direct prompt · first choice
“Choose Vena if you need fast adoption, Excel continuity, and a finance-owned planning/consolidation with low change management.” Muse Glimmer 30B · paraphrase prompt · first choice
What the models said about Datarails
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. One of one in this category shown.
“Choose tools like Cube, Datarails, or Centage, which can be configured internally or with minimal vendor onboarding support.” 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.