Academy / Multi-Location Architecture / Multi-Location Setup — Real-World Configurations

Multi-Location Setup — Real-World Configurations

Lesson 3.5 ⏱ ~5 min

💡 Why This Matters

Seeing all configuration patterns laid out together gives you a visual taxonomy you can match against real customer setups. This is the reference lesson you'll come back to when facing a complex multi-location ticket.

🎯 What You'll Learn

  • Six distinct configuration patterns with names (e.g., Single Weave Location / Single Tenant PMS, Multiple Weave Locations / Multi-Tenant PMS)
  • What 'single tenant' vs. 'multi-tenant' PMS means in the context of location data
  • How Gentrix + Eaglesoft (two different PMSs) can feed into one Weave UI
  • The most complex pattern: multiple Weave UIs with mixed single-tenant and multi-tenant PMS sources
  • Why 'the number of UIs' and 'the number of PMS sources' are completely independent choices

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📋 Lesson Summary

The lesson catalogs six real-world multi-location configurations: (1) Single Weave location + single tenant PMS — simplest setup. (2) Single Weave location + multiple single tenant PMSs — two different PMSs feed one UI. (3) Multiple Weave locations + multiple single tenant PMSs — same as #2 but with separate UIs per source. (4) Single Weave location + single multi-tenant PMS — one PMS with data for many locations in one UI. (5) Multiple Weave locations + single multi-tenant PMS — same PMS, but office chose to split into multiple UIs. (6) Multiple Weave locations + mixed PMS types — the most complex scenario.

🏷 Key Concepts

Single-Tenant PMS Multi-Tenant PMS Configuration Patterns Multiple PMS Sources DentiCon Gentrix Eaglesoft Weave Location vs PMS Source

Key Takeaways

01A 'multi-tenant PMS' means one database instance holds data for multiple locations — common with larger PMS vendors
02Two different PMS products can feed one Weave UI — the SyncApp architecture makes this possible
03The configuration the office chooses is independent of how many SyncApps are running underneath
04When a ticket involves location data discrepancies, use these six patterns as a diagnostic checklist