Are You Running Out of Dataverse Storage? Here’s What You Need to Know
In today’s cloud-driven business environment, Microsoft Dataverse powers Power Apps, Power Automate, and Dynamics 365 by providing a secure and scalable data platform. One of the most critical aspects of managing Dataverse is understanding capacity-based storage.
This blog will walk you through what capacity-based storage is, why it exists, its components, and how it impacts your Power Platform environment.
What Is Capacity-Based Storage in Dataverse?
Capacity-based storage is the storage model used by Dataverse to manage data in the Power Platform.
Unlike the traditional per-environment storage model, capacity is:
- Allocated at the tenant level
- Shared across all environments
- Divided into three storage types for optimized performance and cost
Storage Categories in Dataverse
Why Microsoft Uses Capacity-Based Storage ?
- Each environment had a fixed database size
- Adding storage required per-environment purchase
- Unused storage in one environment could not be shared
- Inefficient: Many tenants had underutilized storage
- Rigid Scaling: High-growth apps required separate storage purchases
- Complex Licensing: Separate capacity management per environment
- Storage is pooled at the tenant level
- Divided into Database, File, and Log categories
- Automatically allocated to any environment that needs it
- Shared pool ensures unused storage in one environment can support another environment
- Reduces waste and maximizes cost efficiency
- Centralized Power Platform Admin Center (PPAC) for all storage monitoring
- Easier governance and reporting
- Predictable billing model for admins and architects
- Capacity-based storage aligns with Azure’s elastic architecture
- Microsoft can scale SQL and file storage automatically for tenants
- Supports modern, multi-environment Power Platform strategies
- Pay for what you use instead of buying fixed blocks
- Licenses automatically add base storage capacity
- Option to purchase extra storage add-ons only when required
- Multiple environments for Dev, Test, Prod
- Dynamic scaling for high-volume apps
- Cross-environment data integration
- Capacity-based model supports flexible cloud-native deployments
- Lower total cost of ownership (TCO)
- Easier scaling for growing apps
- Simplified governance and monitoring
- No “stranded storage” in unused environments
- Dataverse storage is allocated at the tenant level, not per environment.
- Microsoft divides capacity into three categories for optimized management:
- Database: 1 GB
- File: 400 MB
- Log: 2 GB
- Storage increases automatically as you add Power Platform or Dynamics 365 licenses:
- Power Apps per-user / per-app plans → Add database capacity
- Dynamics 365 apps (Sales, Service, Field Service) → Add database + file + log capacity
- Add-on Storage → Can be purchased per GB for any category (Database, File, or Log)
- Database tables and records → Database Storage
- Attachments, images, and files → File Storage
- Audit logs and plug-in logs → Log Storage
Environment A uses 6 GBEnvironment B uses 4 GBBoth draw from the same 10 GB pool
- Per-category usage (Database, File, Log)
- Per-environment usage
- Trend monitoring for planning add-ons
- Internally uses Azure SQL Database for relational table data (Accounts, Contacts, Orders, etc.).
- Microsoft abstracts the SQL layer; customers cannot directly access SQL tables.
- Fully managed SQL database where you manage schema, tables, queries, indexes.
- You have direct T-SQL access.
- Understand Database, File, and Log storage consumption per environment
- Forecast growth and plan license or add-on requirements
- Move attachments, media, and images to SharePoint or Azure Blob instead of Dataverse File storage
- Use Azure Synapse Link or Data Export Service to offload historical data
- Implement Data Archival Policies to keep active tables lightweight
- Audit retention policies: Keep logs only for required duration (e.g., 90–180 days)
- Environment strategy: Separate Dev, Test, and Prod to monitor usage efficiently
- Automated alerts for approaching capacity limits
- Track storage per license type (Power Apps / Dynamics 365)
- Purchase add-on storage only when necessary
- Educate teams to prevent unnecessary attachment storage in Dataverse
- Design lean tables with only required columns
- Use Choice columns or Lookups instead of duplicate text fields to save space
- Avoid storing large attachments in Dataverse directly
- Use Power Fx and Power Automate to move attachments to SharePoint or Blob Storage
- Archive old records with a flow to Azure SQL / Data Lake periodically
- Minimize audit-enabled tables to reduce Log storage
- Track storage growth trends for apps using Dataverse analytics
- Clean up sample/demo data in Dev and Test environments
- Use bulk delete jobs for old/unneeded records
Always design for storage efficiency from the start—move large files out of Dataverse, enable retention policies, and monitor usage trends to avoid unexpected overage costs.
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