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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 applicati…
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A NoSQL database stores data using models such as documents, key-values, columns, or graphs rather than requiring relational tables and SQL as its only access pattern.
NoSQL grew from the need to process large, distributed, or varied data with different trade-offs from classic relational systems. Distributed web applications and horizontal scaling made these models prominent.
Choose the data model from access patterns: documents bundle related data, key-values provide direct lookups, columns support grouped analysis, and graphs put relationships at the centre.
It determines how data is structured, queried, and scaled together.
Data and load are spread across nodes, often with replication.
The system defines when copies expose the same state.
NoSQL can fit flexible schemas, high load, and distributed operation. The choice requires explicit access patterns and trade-offs for consistency, transactions, operations, and integrity.
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