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Financial reporting and dashboards · September 2026 Edition

Datarails vs Cube

One of twelve models named Datarails first on the direct prompt; one named Cube. Datarails was named by eight of the twelve models and Cube by seven and Datarails carries 11 labels and Cube 12, 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 share4%2%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#5#6A position in a field of 14; printed, not drawn.
Labels1112A 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.Sage Intacct was named alongside these two in twelve of the twelve direct answers. Sage Intacct vs Datarails · Sage Intacct vs Cube · Fathom vs Datarails

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 financial reporting and dashboards page.

By framing

How many of the twelve models made each the first choice, per way of asking, and how many argued against it.
DatarailsFirst choices, of twelve modelsCube
Direct11
Paraphrase10
Comparative00
Budget-constrained00
Scale-constrained00
Negative00
Bars are first choices, 0 to 12 each sideModels that argued againstA model can name both, so the two sides of a row do not sum to twelve.

Across every category in the September 2026 Edition, Datarails and Cube were named in the same answer 149 times, of the 273 answers naming Datarails and the 311 naming Cube. In those answers Cube took the first choice seventeen times and Datarails eighteen.

Every model, every framing

The seventy-two 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 4.1 Fast
Mistral Small
DeepSeek V4 Flash
Llama 4 Maverick
Qwen 3.7 Flash
Kimi K2
GLM 4.7 FlashX
MiniMax M2.5
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.

Datarails first, Cube an alternative

1 of 12 modelsCube was named in the answer but not as the choice, or not at all.
GLM 4.7 FlashXDatarails, Vena alternatives: Cube, HighRadius, Sage Intacct, Workday Adaptive Planning

Cube first, Datarails an alternative

1 of 12 modelsDatarails was named in the answer but not as the choice, or not at all.
Gemini 3.5 FlashCube, Pigment alternatives: Aleph, Datarails, Oracle NetSuite, Planful, Sage Intacct

Neither was the first choice, one was named

6 of 12 modelsThe answer put something else first and named one of the two as an alternative.
Claude Haiku 4.5Sage Intacct, Vena alternatives: Datarails, FineReport, Maxio, Oracle NetSuite, Planful
Perplexity SonarSage Intacct alternatives: Datarails, Prophix, Vena
Grok 4.1 FastSage Intacct alternatives: Datarails, Vena
DeepSeek V4 FlashSage Intacct alternatives: Datarails, Maxio, Oracle NetSuite, Vena
Kimi K2Sage Intacct, Vena alternatives: Cube, Datarails
MiniMax M2.5Sage Intacct alternatives: Cube, Microsoft Dynamics 365 Finance, Oracle NetSuite, Workday Adaptive Planning

Neither was named

4 of 12 modelsThe answer made no first choice from these two in this category.
GPT-5.4 miniSage Intacct alternatives: Oracle NetSuite
Mistral SmallSage Intacct alternatives: Fairview, Vena
Llama 4 MaverickSage Intacct
Qwen 3.7 FlashSage Intacct alternatives: Fathom, Looker Studio, Microsoft Dynamics 365 Business Central, Oracle NetSuite, 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
Level: the same share of first choices.
Datarails0%#– of 11
Cube0%#– of 11
The full small business standing →
Mid-marketThe figures above
Datarails leads by two points.
Datarails4%#5 of 14
Cube2%#6 of 14
The full mid-market standing →
Enterprise
Level: the same share of first choices.
Datarails0%#– of 10
Cube0%#– of 10
The full enterprise standing →

What the models said about Datarails

No label in this category carried a quote.

What the models said about Cube

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

“Go with Cube (if you want to keep Excel) or Pigment (if you want a modern, web-native planning tool)” Gemini 3.5 Flash · direct prompt · first choice
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.