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EA-Wizard vs.
EA-Wizard vs Ardoq
Graph-based EA platform with a flexible data model
Our take
Ardoq stands out with a graph-based approach and a highly flexible meta-model: each organization can adapt the model to its context. Particularly appreciated by data-driven teams and technical architects.
Where they shine
- Especially flexible and customizable data model
- Graph-native dependency visualization
- Active technical community around integrations and automation
Things to consider
- Steep learning curve to leverage the meta-model
- Tier-based pricing — costly as scope expands
- Business coverage (capabilities, BPMN processes) less mature than competitors
At a glance
Dimension EA-Wizard Ardoq
Functional coverage Complete across key modules Strong on technical aspects
Artificial intelligence Native, in every module Add-on
Deployment On-premise or private cloud SaaS only
Total cost of ownership Controlled High as it scales
Time-to-value 4–12 weeks 4–10 weeks
Our positioning
EA-Wizard offers the same meta-model flexibility, adds full business coverage, and embeds AI to analyze the graph — not just store it.
What EA-Wizard adds on top
- Full governance pipeline (Demand → ARB → Project) — not just a repository
- Built-in BPMN modeler, native L1→L3 capability modeling
- AI Standards Checker: automatically evaluates every demand against your golden paths
- Multi-provider AI (Claude / GPT-4 / Ollama) with sovereign air-gap mode
- On-premise deployment, full-schema PostgreSQL RLS, immutable audit log
Comparison based on public sources (Gartner Peer Insights, G2, vendor sites) and aggregated customer feedback. Specifics may evolve with new product releases.
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