Datarails vs Workday Adaptive Planning
Six of fourteen models named Datarails first on the direct prompt; two named Workday Adaptive Planning. Datarails was named by thirteen of the fourteen models and Workday Adaptive Planning by eleven and Datarails carries 20 labels and Workday Adaptive Planning 17, so the shares are not directly comparable.
Named in eight categories this edition.
Named in seven 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 financial modeling and scenario planning page.
By framing
DatarailsFirst choices, of fourteen modelsWorkday Adaptive Planning
Across every category in the October 2026 Edition, Datarails and Workday Adaptive Planning were named in the same answer 115 times, of the 323 answers naming Datarails and the 445 naming Workday Adaptive Planning. In those answers Workday Adaptive Planning took the first choice eight times and Datarails six.
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 4.1 Fast | | | | |||
| 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 | |
Datarails Workday Adaptive Planning first choice named as an alternative argued againstblank: not namedEach cell is one answer, Datarails on the left and Workday Adaptive Planning on the right.The direct prompt
Datarails first, Workday Adaptive Planning an alternative
6 of 14 modelsWorkday Adaptive Planning was named in the answer but not as the choice, or not at all.Workday Adaptive Planning first, Datarails not the choice
2 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
3 of 14 modelsThe answer put something else first and named one of the two as an alternative.Neither was named
3 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
Datarails3%#6 of 10Workday Adaptive Planning0%#– of 10Datarails11%#4 of 14Workday Adaptive Planning6%#8 of 14Workday Adaptive Planning16%#2 of 12Datarails0%#– of 12What the models said about Datarails
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Three of three in this category shown.
“I would choose Datarails for an Excel-heavy mid-market B2B finance team, and Limelight for a team that wants a more modern standalone modeling platform” Perplexity Sonar · direct prompt · first choice
“"For most mid-market finance teams, especially those managing multiple entities in Excel, Datarails is the best financial modeling software in 2026."” Muse Glimmer 30B · direct prompt · first choice
“For most mid-market finance teams, especially those managing multiple entities in Excel, Datarails is the best financial modeling software in 2026.” Claude Haiku 4.5 · direct prompt · first choice
What the models said about Workday Adaptive Planning
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Two of two in this category shown.
“Start by looking closely at Vena or Adaptive. For most mid-market B2B firms, these two provide the perfect balance of power, price, and adoption speed.” Qwen 3.7 Flash · direct prompt · first choice
“If you want to modernize your tech stack and improve collaboration across departments: Choose Workday Adaptive Planning.” Qwen 3.7 Flash · 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.