# Pimcore alternatives: what AI models name instead, November 2026

Gane Index, November 2026 Edition. 187 of the 252 answers in the 1 category where Pimcore holds a standing named it neither first nor as an alternative; these are the first choices those answers made. Page: https://www.gane.ai/index/it/vendors/pimcore/alternatives

## Named instead, most often (every category and segment added)

- Informatica MDM: 43
- Profisee MDM: 29
- Semarchy xDM: 14
- AtroCore MDM: 8
- Reltio Connected Data Platform: 8
- Stibo Systems STEP: 4

## Master data management

**Small business**: 41 of 84 answers did not name Pimcore (Pimcore is #1 of 15 at 29%).

- AtroCore MDM: first choice in 5 of those 41
- Profisee MDM: first choice in 4 of those 41
- Pimcore Community Edition: first choice in 2 of those 41
- Plytix: first choice in 2 of those 41
- Semarchy xDM: first choice in 2 of those 41
- Aknowledge.io: first choice in 1 of those 41
- Ataccama ONE: first choice in 1 of those 41
- CluedIn: first choice in 1 of those 41

**Mid-market**: 63 of 84 answers did not name Pimcore (Pimcore is #3 of 13 at 19%).

- Profisee MDM: first choice in 15 of those 63
- Informatica MDM: first choice in 7 of those 63
- Semarchy xDM: first choice in 7 of those 63
- AtroCore MDM: first choice in 3 of those 63
- IBM InfoSphere Master Data Management: first choice in 2 of those 63
- Semarchy Data Platform: first choice in 2 of those 63
- Ataccama ONE MDM: first choice in 1 of those 63
- Boomi MDM: first choice in 1 of those 63

**Enterprise**: 83 of 84 answers did not name Pimcore.

- Informatica MDM: first choice in 36 of those 83
- Profisee MDM: first choice in 10 of those 83
- Reltio Connected Data Platform: first choice in 8 of those 83
- Semarchy xDM: first choice in 5 of those 83
- Stibo Systems STEP: first choice in 4 of those 83
- IBM InfoSphere Master Data Management: first choice in 1 of those 83
- ManageEngine Mobile Device Manager Plus: first choice in 1 of those 83
- Omnissa: first choice in 1 of those 83

Published under CC BY 4.0. The output is the models' output; nothing here is a recommendation by the index.