mongodb
MongoDB - Document Database Patterns
Overview
MongoDB is a document-oriented NoSQL database that stores data in flexible, JSON-like documents. It excels at handling unstructured or semi-structured data, hierarchical relationships, and scenarios requiring horizontal scaling.
Key Features:
- Flexible schema (schemaless documents)
- Rich query language with secondary indexes
- Aggregation framework for analytics
- Horizontal scaling (sharding)
- Replica sets for high availability
- Change streams for real-time data
- Geospatial and full-text search
When to Use MongoDB:
- Rapidly evolving schemas
- Hierarchical/nested data (embedded documents)
- Real-time analytics with aggregation
More from bobmatnyc/claude-mpm-skills
drizzle-orm
Type-safe SQL ORM for TypeScript with zero runtime overhead
4.2Kplaywright-e2e-testing
Playwright modern end-to-end testing framework with cross-browser automation, auto-wait, and built-in test runner
2.7Kpydantic
Python data validation using type hints and runtime type checking with Pydantic v2's Rust-powered core for high-performance validation in FastAPI, Django, and configuration management.
2.2Ktailwind-css
Tailwind CSS utility-first framework for rapid UI development with responsive design and dark mode
1.2Ktrpc-type-safety
tRPC end-to-end type-safe APIs for TypeScript with React Query integration and full-stack type safety
1.1Kpytest
pytest - Python's most powerful testing framework with fixtures, parametrization, plugins, and framework integration for FastAPI, Django, Flask
899