Compare relational and NoSQL databases to choose the right data store for your use case
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Design PostgreSQL schemas showing tables, relationships, indexes, and constraints
Design MongoDB deployments showing collections, replica sets, sharding, and aggregation pipelines
Design data warehouse architectures with dimensional modeling, ETL processes, and BI reporting layers
Common questions about sql vs nosql database comparison
SQL for complex queries, ACID transactions, structured data, reporting. NoSQL for high scalability, flexible schema, document/key-value data, high write throughput. Visualize decision matrix.
SQL uses normalized tables with foreign keys and JOINs. NoSQL uses denormalized documents, key-value pairs, or wide-column stores. Show same e-commerce data modeled in both approaches.
SQL scales vertically (bigger servers) or with read replicas. NoSQL scales horizontally (more servers) with sharding built-in. Visualize scaling patterns and when each hits limits.
Yes! Polyglot persistence uses SQL for transactional data, NoSQL for caching/sessions/analytics. Show how microservices choose databases per use case rather than one-size-fits-all.
SQL provides ACID across tables. NoSQL offers eventual consistency, single-document ACID, or opt-in distributed transactions. Visualize consistency models and tradeoffs.
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