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Databases From Relational to NoSQL Many apps start with a relational database. Tables, rows, and SQL help keep data consistent. But as systems grow, teams seek NoSQL for flexibility and scale. This article explains the shift and offers practical guidance for choosing the right tool. Relational databases follow a fixed schema and strong ACID rules. They work well for transactions, complex joins, and data integrity. With a clear structure, you can enforce relationships in a safe and predictable way. Even so, changing the schema can be slow in large systems. ...

NoSQL vs SQL: When to Use Each Databases come in many shapes. SQL databases organize data in tables with a fixed schema. NoSQL databases use different models—document, key-value, column-family, or graph—and they often allow a flexible schema. The right choice depends on how you store data, how you query it, and how you grow. What SQL and NoSQL offer SQL databases shine with clear schemas, joins, and strong consistency. NoSQL systems give more flexibility and scale, with various data models. ...