nw-database-technology-selection

To choose between SQL and NoSQL databases, evaluate your primary access patterns, consistency requirements, and query complexity. RDBMS suits complex queries and ACID compliance, while NoSQL fits specific scale and latency targets for document, key-value, column-family, or graph workloads.

OLTP handles transaction-oriented workloads requiring low latency and high concurrency, whereas OLAP processes complex analytical queries over large data volumes. Database selection depends on whether your workload prioritizes real-time transaction processing or data warehousing analytics.

Use a graph database instead of a relational database when your primary access patterns involve traversing complex relationships and interconnected data. Relational databases are better suited for structured data with predefined schemas and complex join queries.

CAP theorem tradeoffs affect NoSQL database selection by forcing a choice between consistency, availability, and partition tolerance. Evaluating whether your workload requires strict ACID guarantees or eventual consistency (BASE) determines the appropriate NoSQL category.

Yes, database selection criteria change significantly for high volume real-time processing. You must prioritize specific latency targets, horizontal scale capabilities, and HTAP platforms that can handle both transactional and analytical workloads efficiently.

Evaluate ACID vs BASE consistency models by checking your compliance needs and transaction requirements. ACID provides strict consistency for relational data, while BASE offers eventual consistency to achieve high availability and scale in NoSQL systems.