Non-relational database systems with flexible schemas, designed for horizontal scalability and varied consistency models.
NoSQL databases are non-relational storage systems that offer schema flexibility, horizontal scalability, and varied consistency models. They suit large, heterogeneous datasets, high write throughput, and distributed deployments. Typical decisions involve consistency versus availability, indexing strategies, backup approaches, and data modeling for application patterns.
Measures the number of successful operations per second and indicates scalability.
Indicates response time for critical read and write paths.
Monitors stability and operationalization (e.g., write errors, replication failures).
A company stores user events in a document-based NoSQL database and runs derived aggregations for dashboards.
An online store uses a document-oriented system to efficiently represent variable product attributes and multilingual data.
Web application uses a NoSQL key-value store as a fast central session storage for scalable frontends.
Analyze access patterns and data volume
Select a suitable NoSQL model and implement a prototype
Perform load and chaos testing
Operationalize: configure replication, backup, monitoring
Incremental migration and validation in production