Financial consolidation · November 2026 Edition
OneStream vs Oracle NetSuite
One of fourteen models named OneStream first on the direct prompt; zero named Oracle NetSuite. OneStream was named by fourteen of the fourteen models and Oracle NetSuite by twelve and OneStream carries 42 labels and Oracle NetSuite 14, so the shares are not directly comparable.
Named in nine categories this edition.
Named in eighteen categories this edition.
First-choice share4%4%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate36%7%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#6#7A position in a field of 14; printed, not drawn.
Labels4214A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, OneStream reading right to left. Rank and label count are printed, not drawn.Prophix was named alongside these two in fourteen of the fourteen direct answers. Prophix vs OneStream · Prophix vs Oracle NetSuite · Joiin vs OneStream
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 consolidation page.
By framing
How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
OneStreamFirst choices, of fourteen modelsOracle NetSuite
Direct105 against OneStream
Paraphrase122 against OneStream
Comparative70
Budget-constrained005 against OneStream
Scale-constrained003 against OneStream · 1 against Oracle NetSuite
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.
Every model, every framing
The eighty-four answers behind the chart above, one cell each: where OneStream and Oracle NetSuite stood in it.
| 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 | | | |
OneStream Oracle NetSuite first choice named as an alternative argued againstblank: not namedEach cell is one answer, OneStream on the left and Oracle NetSuite on the right.The direct prompt
The plain question, one answer per model, grouped by where OneStream and Oracle NetSuite stood in it.
OneStream first, Oracle NetSuite not the choice
1 of 14 modelsOracle NetSuite was named in the answer but not as the choice, or not at all.GPT-5.4 miniOneStream alternatives: BlackLine, Oracle Fusion Cloud EPM, Prophix, Vena
Neither was the first choice, one was named
5 of 14 modelsThe answer put something else first and named one of the two as an alternative.Perplexity SonarPlanful alternatives: Datarails, OneStream, Prophix, Vena
Mistral SmallPlanful, Prophix alternatives: OneStream, Vena
Llama 4 MaverickProphix alternatives: CCH Tagetik, OneStream, Planful
GLM 4.7 FlashXProphix alternatives: OneStream, Planful
Muse Glimmer 30BPlanful, Prophix alternatives: Datarails, OneStream, Vena
Neither was named
8 of 14 modelsThe answer made no first choice from these two in this category.Claude Haiku 4.5Planful alternatives: Datarails, Prophix, Sage Intacct
Gemini 3.5 FlashProphix alternatives: Fluence Technologies, Planful, Vena
Grok 4.20Planful, Prophix alternatives: Vena
DeepSeek V4 FlashProphix alternatives: Planful, Vena
Qwen 3.7 FlashPlanful, Prophix alternatives: Datarails, Vena
Kimi K2Prophix alternatives: Planful, Sage Intacct, Vena
MiniMax M2.5Prophix, Vena alternatives: Oracle Fusion Cloud EPM, Planful, Workiva
GPT-6 LunaProphix alternatives: 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
Level: the same share of first choices.
OneStream0%#14 of 14Oracle NetSuite0%#13 of 14Mid-marketThe figures above
Level: the same share of first choices.
OneStream4%#6 of 14Oracle NetSuite4%#7 of 14Enterprise
OneStream leads by sixty-seven points.
OneStream67%#1 of 13Oracle NetSuite0%#– of 13What the models said about OneStream
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Four of five in this category shown.
“Avoid starting with OneStream, Oracle EPM, or Anaplan unless the company has complex multinational requirements” Perplexity Sonar · budget prompt · hard negative
“Positioned as best for enterprise finance teams for deep, complex group structures with heavy automation... "the strongest third-party choice"” Muse Glimmer 30B · comparative prompt · first choice
“Best for large, complex enterprises that want consolidation + close + planning + reporting on one platform” GPT-5.4 mini · comparative prompt · first choice
“Best For: Complex global enterprises seeking a unified platform for consolidation, FP&A, and close management.” Gemini 3.5 Flash · comparative prompt · first choice
What the models said about Oracle NetSuite
No label in this category carried a quote.
Also compared
Prophix vs OneStreamProphix vs Oracle NetSuiteJoiin vs OneStreamJoiin vs Oracle NetSuitePlanful vs OneStreamPlanful vs Oracle NetSuiteSage Intacct vs OneStreamSage Intacct vs Oracle NetSuiteVena vs OneStreamVena vs Oracle NetSuiteOneStream vs DatarailsOracle NetSuite vs DatarailsAll twenty-eight head-to-head pages and the full financial consolidation standing
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.