# MEGA HOPEX alternatives: what AI models name instead, October 2026

IT AI Recommendation Index, October 2026 Edition. 236 of the 252 answers in the 1 category where MEGA HOPEX holds a standing named it neither first nor as an alternative; these are the first choices those answers made. Page: https://it-ai-index.com/vendors/mega-hopex/alternatives/

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

- SAP LeanIX: 52
- Ardoq: 30
- Archi: 26
- LeanIX: 18
- Sparx Systems Enterprise Architect: 18
- Sparx Enterprise Architect: 6

## Enterprise architecture tools

**Small business**: 83 of 84 answers did not name MEGA HOPEX (MEGA HOPEX is #11 of 12 at 0%).

- Archi: first choice in 20 of those 83
- Sparx Systems Enterprise Architect: first choice in 14 of those 83
- Ardoq: first choice in 9 of those 83
- SAP LeanIX: first choice in 7 of those 83
- LeanIX: first choice in 6 of those 83
- Sparx Enterprise Architect: first choice in 6 of those 83
- ONES.com: first choice in 3 of those 83
- Spendflo: first choice in 3 of those 83

**Mid-market**: 81 of 84 answers did not name MEGA HOPEX (MEGA HOPEX is #9 of 10 at 0%).

- SAP LeanIX: first choice in 19 of those 81
- Ardoq: first choice in 11 of those 81
- LeanIX: first choice in 9 of those 81
- Archi: first choice in 6 of those 81
- Sparx Systems Enterprise Architect: first choice in 4 of those 81
- Essential Project: first choice in 3 of those 81
- Bizzdesign Horizzon: first choice in 2 of those 81
- BlueDolphin: first choice in 1 of those 81

**Enterprise**: 72 of 84 answers did not name MEGA HOPEX (MEGA HOPEX is #5 of 11 at 3%).

- SAP LeanIX: first choice in 26 of those 72
- Ardoq: first choice in 10 of those 72
- Bizzdesign Horizzon: first choice in 3 of those 72
- Essential Cloud: first choice in 3 of those 72
- LeanIX: first choice in 3 of those 72
- ServiceNow Application Portfolio Management: first choice in 2 of those 72
- Avolution: first choice in 1 of those 72
- MEGA International: first choice in 1 of those 72

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