# Oracle Essbase: how AI models rank it, October 2026

Finance AI Recommendation Index, October 2026 Edition. Named in 3 judge labels across 1 categories by 2 of 14 models. Page: https://finance-ai-index.com/vendors/oracle-essbase/

## Standing by category

| Category | Share | Rank | Negative rate | Labels |
|---|---|---|---|---|
| FP&A platforms | 0% | 71 | 67% | 3 |

## And against it

- "generated the most negative feedback overall... Initial setup was very tough, patches are time consuming" (Claude Haiku 4.5, FP&A platforms)
- "the tools that generated the most negative feedback were Planful, Pigment, and Oracle Essbase" (Perplexity Sonar, FP&A platforms)

## Movement since September 2026

Floor: 10 points of share, measured on the calibration repeat. A larger change is movement; a smaller one is noise.

- FP&A platforms: 0% to 0%, ±0. New · not ranked in September 2026 · rank 71 of 74.

## In its own words

What Oracle Essbase's own pages state, read 2026-10-06. Stated by the vendor, not checked by the index.

- Positioning: Rapidly generate insights from data sets using what-if analysis and data visualization tools and drive smarter decisions in the cloud or on-premises with Oracle Essbase. (https://www.oracle.com/analytics/essbase)
- For: business users, analysts, modelers, and decision-makers across all lines of business (https://www.oracle.com/analytics/essbase)
- Free plan or trial: Get a free Oracle Cloud trial (https://www.oracle.com/analytics/essbase)
- Hosting: the cloud, on-premises

## Record

- Method: https://finance-ai-index.com/methodology/
- Raw judge labels and full responses: https://finance-ai-index.com/data/
- License: CC BY 4.0. Cite as Finance AI Recommendation Index, October 2026 Edition, finance-ai-index.com.