Confluence vs Lore DB
Confluence is the enterprise wiki standard. Atlassian Intelligence adds AI features on top. But if your developers want their AI coding tools to access team documentation, Confluence wasn’t built for that.
Quick comparison
| Feature | Confluence + Atlassian Intelligence | Lore DB |
|---|---|---|
| AI Q&A over your docs | Yes (within Confluence/Atlassian) | Yes (any MCP-compatible AI tool) |
| Works with Claude Desktop | No | Yes |
| Works with Cursor / VS Code | No | Yes |
| Works with ChatGPT | No | Yes |
| MCP server | No | Yes (native) |
| Setup time | Days to weeks | Under 2 minutes |
| Hybrid search | Keyword-based | Semantic + keyword + freshness |
| Knowledge graph | No | Yes (interactive) |
| Per-user AI scoping | No | Yes (library toggles) |
| Self-serve | Requires admin setup | Sign in with Google and go |
| Export | HTML, PDF, Word | JSON (complete, re-importable) |
| Pricing | $6.05/user/month (Standard) | Free tier + SEK 79/month Pro |
When to choose Confluence
- Your organization is already in the Atlassian ecosystem (Jira, Bitbucket)
- You need deep Jira integration (linking issues to wiki pages)
- You have an enterprise procurement process that favors established vendors
- You need complex permission hierarchies beyond three roles
When to choose Lore DB
- You want your developers’ AI tools to search your docs — not just humans
- You need a knowledge base accessible from Claude, Cursor, VS Code, and ChatGPT via MCP
- You want to be up and running in minutes, not days
- You value fast, relevant search over enterprise features
- Your team uses modern AI coding assistants daily
Can I use both?
Absolutely. Keep Confluence for your organization’s existing wiki. Use Lore DB for the subset of docs you want AI tools to access — runbooks, API references, architecture decisions, coding conventions. Copy the content over, and your AI coding assistants instantly have context.
The core difference
Confluence is an enterprise wiki with AI bolted on. It’s designed for humans to read wiki pages, with AI as a secondary feature inside the Atlassian ecosystem.
Lore DB is an AI-first knowledge base. Every feature exists to make AI tools smarter. The MCP server, the hybrid search, the freshness ranking, the knowledge graph — it’s all built for AI retrieval, not human browsing.