Finance AI Index
Index Planning and analysis FP&A platforms › Pigment vs Datarails
FP&A platforms · September 2026 Edition

Pigment vs Datarails

Five of twelve models named Pigment first on the direct prompt; one named Datarails. Both were named by all twelve models and Pigment carries 38 labels and Datarails 45, so the shares are not directly comparable.

Pigment

accepted challenger

Named in six categories this edition.

Datarails

accepted challenger

Named in ten categories this edition.

First-choice share15%4%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate16%9%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#2#8A position in a field of 16; printed, not drawn.
Labels3845A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Pigment reading right to left. Rank and label count are printed, not drawn.Centage was named alongside these two in seven of the twelve direct answers. Vena vs Pigment · Vena vs Datarails · Pigment vs Clockwork

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 FP&A platforms page.

By framing

How many of the twelve models made each the first choice, per way of asking, and how many argued against it.
PigmentFirst choices, of twelve modelsDatarails
Direct511 against Pigment
Paraphrase11
Comparative01
Budget-constrained002 against Pigment · 1 against Datarails
Scale-constrained10
Negative003 against Pigment · 3 against Datarails
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, Pigment and Datarails were named in the same answer seventy-three times, of the 186 answers naming Pigment and the 273 naming Datarails. In those answers Datarails took the first choice seven times and Pigment nine.

Every model, every framing

The seventy-two answers behind the chart above, one cell each: where Pigment and Datarails 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
Pigment Datarails first choice named as an alternative argued againstblank: not namedEach cell is one answer, Pigment on the left and Datarails on the right.

The direct prompt

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

Pigment first, Datarails an alternative

5 of 12 modelsDatarails was named in the answer but not as the choice, or not at all.
Llama 4 MaverickPigment alternatives: Aleph, Centage, Workday Adaptive Planning
Qwen 3.7 FlashPigment alternatives: Aleph, Centage, Datarails, Workday Adaptive Planning
Kimi K2Pigment alternatives: Aleph, Centage, Workday Adaptive Planning
GLM 4.7 FlashXPigment alternatives: Aleph, Centage, Cube, Datarails, Planful, Prophix, Vena, Workday Adaptive Planning
MiniMax M2.5Pigment alternatives: Aleph, Centage, Datarails, Workday Adaptive Planning

Datarails first, Pigment not the choice

1 of 12 modelsPigment was named in the answer but not as the choice, or not at all.
DeepSeek V4 FlashDatarails alternatives: Planful, Prophix, Vena

Neither was the first choice, one was named

5 of 12 modelsThe answer put something else first and named one of the two as an alternative.
Claude Haiku 4.5Planful alternatives: Pigment, Prophix, Vena
GPT-5.4 miniPlanful, Vena alternatives: Cube, Datarails
Perplexity SonarPlanful alternatives: Aleph, Centage, Pigment, Prophix, Vena
Grok 4.1 FastCube, Vena alternatives: Datarails, Pigment
Mistral SmallCentage alternatives: Abacum, Aleph, Datarails, Workday Adaptive Planning

Neither was named

1 of 12 modelsThe answer made no first choice from these two in this category.
Gemini 3.5 FlashDrivetrain alternatives: Bob Finance, Cube, Planful

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
Datarails leads by two points.
Datarails2%#5 of 13
Pigment0%#10 of 13
The full small business standing →
Mid-marketThe figures above
The order flips: Pigment leads at mid-market.
Pigment15%#2 of 16
Datarails4%#8 of 16
The full mid-market standing →
Enterprise
Pigment leads by fifteen points.
Pigment15%#3 of 12
Datarails0%#– of 12
The full enterprise standing →

What the models said about Pigment

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

“Avoid or be cautious about enterprise platforms (Anaplan, Workday Adaptive, Planful, Pigment)” Mistral Small · negative prompt · hard negative
“What to avoid when budget is tight ... overkill for a budget-conscious company” DeepSeek V4 Flash · budget prompt · hard negative
“Pigment and other enterprise platforms have pricing that "scales significantly with user count and data volume."” MiniMax M2.5 · negative prompt · soft negative
“Pigment | Tech-forward mid-market, driver‑based modeling, rapid scenario analysis | Deep driver‑based modeling ... enterprise‑grade power on short implementation timelines” GLM 4.7 FlashX · direct prompt · first choice
“Go with Pigment if you are forward-looking, have a modern finance team, and want a highly collaborative, visual, and agile scenario-planning tool.” Gemini 3.5 Flash · 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. Four of four in this category shown.

“The Pitfall (specifically Datarails): ... its pricing has risen significantly... the ROI may not add up.” Gemini 3.5 Flash · negative prompt · hard negative
“Avoid pricier ones like Jirav (~$10K/year), Cube/Datarails ($1K+/month)” Grok 4.1 Fast · budget prompt · hard negative
“Datarails is often the strongest all-around pick — Excel-based, strong consolidation and variance analysis, faster to ROI” DeepSeek V4 Flash · direct prompt · first choice
“Start with Datarails or Vena if your team is comfortable in Excel and wants minimal disruption” Kimi K2 · paraphrase 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.