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NoSQL Database Types
NoSQL databases are optimized for flexibility, scalability, and performance, making them ideal for Big Data and real-time applications. They are categorized based on how they store and access data:
Key-Value Stores
Store data as simple key-value pairs. Ideal for caching, session storage, and high-speed lookups.
- Redis
- Amazon DynamoDB
Columnar Stores
Store data in columns rather than rows, optimized for analytical queries and large-scale batch processing.
- Apache HBase
- Apache Cassandra
- Amazon Redshift
Document Stores
Store semi-structured data like JSON or BSON documents. Great for flexible schemas and content management systems.
- MongoDB
- Amazon DocumentDB
Graph Databases
Use nodes and edges to represent and traverse relationships between data. Ideal for social networks, recommendation engines, and fraud detection.
- Neo4j
- Amazon Neptune
Tip: Choose the NoSQL database type based on your data access patterns and application needs.
Not all NoSQL databases solve the same problem.