When building custom apps or integrations on monday.com, one of the biggest architectural decisions is where to store your data — especially if your app processes or enriches board data outside the monday.com environment.
I’m curious how other developers and teams approach data persistence in their monday.com app architectures.
For example:
Do you rely fully on monday.com’s native item and column data (keeping everything inside boards)?
Or do you use an external database (like PostgreSQL, MySQL, or MongoDB) for performance, analytics, or historical tracking?
Has anyone implemented a hybrid setup, where monday.com stores current/active data and an external DB holds archives or computed results?
Some considerations that prompted this question:
Performance & API limits: How do you handle large datasets or frequent updates without hitting monday.com rate limits?
Data integrity: How do you keep external data in sync with board changes?
Security & compliance: What’s the best practice for managing sensitive client data outside monday.com?
Backup & recovery: How are you managing long-term data retention for monday.com-driven apps?
Would love to hear what architecture choices have worked for you — and what pitfalls to avoid.
What’s your go-to approach for persistent data storage when building monday.com apps?