Databases Explained: From Relational to NoSQL
Databases Explained: From Relational to NoSQL Databases help us store, organize, and quickly retrieve data. Two big families shape most choices: relational databases and NoSQL systems. Relational databases use tables with rows and columns. They rely on a fixed schema, write in SQL, and keep data safe with ACID transactions. This makes complex queries easy, especially when data has many relationships. NoSQL covers several models: document stores (like MongoDB), key-value stores, wide-column stores (like Cassandra), and graph databases (like Neo4j). They often skip rigid schemas and favor flexible data layouts. They can offer high throughput and easy horizontal scaling. However, you may see eventual consistency rather than strict locks, depending on the system and configuration. ...