- Organizations requiring print-perfect exports or regulated document output
- Community reports frequently describe PDF export inconsistencies, formatting loss, and database view export issues; export fidelity should be validated as part of procurement.
- Organizations expecting spreadsheet-like database performance at scale
- Community reports and practical usage indicate potential sluggishness and lag in medium-to-large or complex databases; the product is not typically used as a high-performance data store.
- Organizations requiring prescriptive project management and advanced reporting
- Tools built specifically for project management (for example, ClickUp) are generally more appropriate where strict task governance, workload balancing, and advanced reporting are primary requirements.
- Organizations that require robust offline-first capability
- Offline functionality has improved, but limitations remain; offline workflows should be validated with a pilot that replicates expected usage patterns.
- Organizations highly sensitive to vendor lock-in or migration portability
- Community commentary and export limitations suggest that switching costs can be material; run an export and migration proof of concept when vendor lock-in risk is a procurement criterion.
- Export limitations
- Community reports include PDF export failures, incomplete exports, formatting loss, and incorrect database exports; vendor documentation references expected export behavior and fallback mechanisms.
- Performance limits for larger or more complex databases
- Community reports of lag and degraded user experience at scale suggest careful validation for data-heavy use cases.
- Offline mode limitations
- Offline mode has improved, but its behavior and coverage remain limited; validate offline requirements with a pilot.
- API limits affecting integrations and backups
- The public API enforces request and size limits that can impact backup solutions and large-scale integrations.
- AI cost predictability for agent features
- The credit-based model for Custom Agents introduces a variable cost that may be difficult to forecast without instrumentation and usage monitoring.