This directory contains comprehensive documentation on how to leverage MindooDB's unique capabilities across different scenarios, industries, and application types.
MindooDB is an End-to-End Encrypted, Offline-first Sync Database designed for secure, distributed document storage and synchronization. This collection of use case documents explores creative ways to model data, organize databases, and leverage MindooDB's features to build powerful applications.
MindooDB's architecture enables several unique patterns:
- End-to-End Encryption: All data is encrypted before leaving the client, ensuring server-side security
- Offline-First: Create and modify documents without network connectivity
- Append-Only Store: Complete audit trail with cryptographic integrity
- Multi-Tenant Collaboration: Share data across organizations with fine-grained access control
- Incremental Sync: Efficient data transfer using
iterateChangesSince() - Cross-Boundary Views: Aggregate data across databases and tenants
- Simple Backups: Append-only nature enables easy backup and disaster recovery
These documents cover fundamental patterns and strategies:
- Target Audiences - Who benefits most from MindooDB and when to choose it
- Data Modeling Patterns - How to organize data across multiple databases, sharding strategies, and managing append-only growth
- Access Control Patterns - Document-level access control using named encryption keys, key distribution, and rotation
- Cross-Tenant Collaboration - Controlled data sharing between organizations using incremental sync
- Virtual Views Patterns - Creating views across databases and tenants for reporting and analytics
- Backups and Recovery - Leveraging append-only nature for simple backups and disaster recovery
- Sync Patterns - P2P, client-server, and server-server synchronization strategies
Real-world applications organized by industry:
- Healthcare - Electronic health records, medical device data, research collaboration
- Financial Services - Transaction ledgers, multi-party agreements, regulatory compliance
- Collaborative Workspaces - Document management, project tracking, knowledge bases
- IoT & Edge Computing - Sensor data collection, device management, edge-to-cloud sync
- Compliance Patterns - GDPR, HIPAA, SOX, PCI-DSS compliance strategies
- Migration Patterns - Migrating from traditional databases and cloud services
- Performance Optimization - Scalability, sharding strategies, and performance tuning
- Developer Patterns - Testing, error handling, monitoring, and development workflows
- Start with Target Audiences to understand if MindooDB fits your needs
- Review Data Modeling Patterns to learn how to organize your data
- Explore Access Control Patterns for security requirements
- Check industry-specific documents for your domain
- Read Data Modeling Patterns for sharding and multi-tenant strategies
- Study Cross-Tenant Collaboration for partner integration patterns
- Review Backups and Recovery for operational resilience
- Explore Performance Optimization for scalability planning
- Focus on Access Control Patterns for fine-grained security
- Review Compliance Patterns for regulatory requirements
- Study Backups and Recovery for disaster recovery planning
MindooDB uses an append-only store where document changes are cryptographically chained together, ensuring complete audit trails and tamper-proof history. However, this architecture means that data accumulates over time and cannot be deleted from the primary store. To manage this growth effectively, you should plan your database strategy from the start.
Time-based sharding splits databases by time periods. For example, a CRM application might use databases named crm2025 and crm2026, allowing old years to be archived or accessed less frequently. Category-based splitting organizes data by document type or project, such as invoices, customers, and products in separate databases. This approach simplifies access control and enables independent scaling. When data becomes historical, you can move it to read-only archive databases that are synced less frequently, reducing active storage requirements.
See Data Modeling Patterns for comprehensive strategies.
The iterateChangesSince() method enables efficient incremental synchronization by tracking which changes have already been processed. This is fundamental to MindooDB's scalability—instead of transferring entire databases, you transfer only what's new since the last sync operation.
This capability powers cross-tenant synchronization where organizations share controlled subsets of data with partners. It enables bidirectional sync that keeps multiple tenants or databases consistent. Most importantly, it ensures that sync operations remain fast even as databases grow large, because only new changes are transferred rather than the entire dataset.
See Cross-Tenant Collaboration and Sync Patterns for detailed patterns.
While MindooDB encrypts all data by default with tenant-wide keys, named encryption keys provide fine-grained access control at the document level. When you create a document with a specific named key, only users who possess that key can decrypt and read the document's contents.
Key distribution should happen through secure out-of-band channels—in-person exchanges, encrypted email, or secure file sharing—never through the MindooDB database itself. Keys can be rotated by creating new versions and re-encrypting documents, though the append-only nature means old versions encrypted with previous keys remain in the history. Organizations typically implement tiered access by using different named keys for different sensitivity levels, such as public-key, internal-key, and confidential-key.
See Access Control Patterns for implementation details.
The append-only architecture dramatically simplifies backup and disaster recovery. Since data is never modified in place, backing up a MindooDB database is as simple as copying the append-only store files. Incremental backups only need to copy new entries since the last backup, making them fast and storage-efficient.
A powerful feature is the ability to mirror encrypted data without possessing the decryption keys. A backup server can store complete encrypted copies of all tenant data, enabling disaster recovery even though the server cannot read any of the actual content. This separation of concerns means you can use untrusted infrastructure for backups while maintaining complete data privacy.
See Backups and Recovery for comprehensive backup strategies.
- Architecture Specification - Core MindooDB architecture
- Data Indexing - Indexing and querying strategies
- VirtualView - Hierarchical document views
- Network Sync Protocol - Client-server synchronization
- P2P Sync - Peer-to-peer synchronization
- Attachments - File attachment storage design
When adding new use cases or patterns:
- Follow the document style guidelines (conceptual first, detailed examples)
- Include code examples where applicable
- Add mermaid diagrams for complex data flows
- Cross-reference related documents
- Include trade-off analysis
If you have questions about specific use cases or patterns, please refer to the relevant document or the main Architecture Specification.