Overview
NoSQL databases (e.g., Amazon DynamoDB, MongoDB, Google Cloud Firestore) provide a variety of data models, including key-value, document, graph, and wide-column. They are optimized for specific patterns that are difficult to handle in traditional relational databases.
Key Characteristics
- Flexible Schema: Data can be stored without a predefined schema, allowing for rapid development.
- Horizontal Scalability: Designed to scale out across many servers easily.
- High Performance: Optimized for specific queries and high-throughput workloads.
- Eventual Consistency: Many NoSQL databases prioritize availability and partition tolerance over immediate consistency (CAP theorem).
Use Cases
- Real-time web applications.
- Big data and analytics.
- Content management and user profiles.
- IoT data ingestion.