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Financial modeling and scenario planning · November 2026 Edition

Datarails vs Cube

Eight of fourteen models named Datarails first on the direct prompt; one named Cube. Datarails was named by thirteen of the fourteen models and Cube by eleven and Datarails carries 27 labels and Cube 26, so the shares are not directly comparable.

Datarails

accepted challenger

Named in ten categories this edition.

Cube

accepted challenger

Named in nine categories this edition.

First-choice share16%5%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate0%0%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#2#7A position in a field of 11; printed, not drawn.
Labels2726A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Datarails reading right to left. Rank and label count are printed, not drawn.Vena was named alongside these two in nine of the fourteen direct answers. Microsoft Excel vs Datarails · Microsoft Excel vs Cube · Datarails vs Google Sheets

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

How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
DatarailsFirst choices, of fourteen modelsCube
Direct81
Paraphrase02
Comparative00
Budget-constrained00
Scale-constrained10
Negative00
Bars are first choices, 0 to 14 each sideModels that argued againstA model can name both, so the two sides of a row do not sum to fourteen.

Across every category in the November 2026 Edition, Datarails and Cube were named in the same answer 222 times, of the 406 answers naming Datarails and the 352 naming Cube. In those answers Cube took the first choice thirty-seven times and Datarails eighteen.

Every model, every framing

The eighty-four answers behind the chart above, one cell each: where Datarails and Cube stood in it.
ModelDirectParaphraseComparativeBudget-constrainedScale-constrainedNegative
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
Datarails Cube first choice named as an alternative argued againstblank: not namedEach cell is one answer, Datarails on the left and Cube on the right.

The direct prompt

The plain question, one answer per model, grouped by where Datarails and Cube stood in it.

Both were the first choice

1 of 14 modelsThe answer named them together, and the judge labeled each a first choice.
Kimi K2Cube, Datarails alternatives: Drivetrain, Jirav

Datarails first, Cube an alternative

7 of 14 modelsCube was named in the answer but not as the choice, or not at all.
Claude Haiku 4.5Datarails alternatives: Cube, Drivetrain, Pigment, Planful
Grok 4.20Datarails alternatives: Cube, Jirav, Quantrix Modeler
Mistral SmallDatarails alternatives: Cube, Limelight, Vena
Llama 4 MaverickAleph, Datarails, Limelight
Qwen 3.7 FlashDatarails, Limelight alternatives: Aleph, Cube, Jedox, Vena
GLM 4.7 FlashXDatarails alternatives: OneStream, Pigment, Planful, Vena
Muse Glimmer 30BDatarails alternatives: Aleph, Cube, Limelight, Planful, Prophix One, Vena

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.
Gemini 3.5 FlashMosaic alternatives: Cube, Datarails, Pigment, Vena, Workday Adaptive Planning
Perplexity SonarDrivetrain alternatives: Abacum, Datarails, Limelight, Vena
DeepSeek V4 FlashPigment alternatives: Aleph, Cube, Datarails, Prophix One
MiniMax M2.5Workday Adaptive Planning alternatives: Cube, Vena

Neither was named

2 of 14 modelsThe answer made no first choice from these two in this category.
GPT-5.4 miniPigment, Workday Adaptive Planning alternatives: Anaplan, Vena
GPT-6 LunaWorkday Adaptive Planning alternatives: Planful, Vena

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

The same question asked on behalf of a different buyer. Each standing is computed within its segment and they are never added together. The figures above are the mid-market standing, which is the one the category orders by.
Small business
Cube leads by three points.
Cube3%#7 of 16
Datarails0%#12 of 16
The full small business standing →
Mid-marketThe figures above
The order flips: Datarails leads at mid-market.
Datarails16%#2 of 11
Cube5%#7 of 11
The full mid-market standing →
Enterprise
Level: the same share of first choices.
Datarails0%#– of 11
Cube0%#9 of 11
The full enterprise standing →

What the models said about Datarails

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Two of two in this category shown.

“Datarails is called out as a strong fit for Excel-native finance teams particularly those managing multiple entities thanks to 600+ integrations.” Muse Glimmer 30B · scale prompt · first choice
“For most mid-market finance teams, especially those managing multiple entities in Excel, Datarails is the best financial modeling software” Claude Haiku 4.5 · direct prompt · first choice

What the models said about Cube

No label in this category carried a quote.

Also compared

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.