Document Databases
Flexible, schema-less databases that store data in JSON-like documents, perfect for modern applications
What Are Document Databases?
Document databases store data in flexible, JSON-like documents instead of rigid table structures. Each document can have its own structure, making them ideal for applications with evolving data models.
Unlike relational databases that require predefined schemas, document databases allow you to store complex, nested data structures naturally, making development faster and more intuitive.
Popular Document Databases
MongoDB
The most popular document database. Offers rich querying, indexing, aggregation, and horizontal scaling.
CouchDB
Multi-master replication with eventual consistency. Excellent for offline-first and mobile applications.
Couchbase
Combines document database with in-memory caching for high performance and sub-millisecond latency.
Key Features
Flexible Schema
No need to define your schema upfront. Add fields as needed, evolve your data model without migrations.
Natural Data Modeling
Store complex, nested data structures that match your application objects without complex joins.
High Performance
Fast reads and writes with efficient indexing. Horizontal scaling for handling massive datasets.
Rich Querying
Powerful query languages with support for filtering, sorting, aggregations, and full-text search.
Common Use Cases
- ✓Content Management: Blogs, articles, and media with varying structures
- ✓E-commerce: Product catalogs with diverse attributes
- ✓User Profiles: Social networks with personalized data
- ✓IoT Applications: Sensor data with varying formats
- ✓Real-time Analytics: Event tracking and aggregation
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