DocumentStore

Modern Databases: From SQL to NoSQL Modern databases come in many shapes. SQL databases organize data into tables with rows and columns. They enforce schemas and ACID transactions, which helps keep data safe in business apps. NoSQL databases came later and offer different ideas: flexible data models, fast writes, and easy horizontal scaling. This mix means teams can choose the right tool for each job. Relational databases like PostgreSQL, MySQL, and SQL Server excel when data is structured and relationships are important. They support powerful queries, joins, and strong consistency. If you need precise accounting, inventory tracking, or customer records with complex reports, SQL is often a good fit. ...

Choosing a Database: SQL vs NoSQL for Your Use Case Deciding which database to use is a common early task in many projects. SQL and NoSQL are not just buzzwords; they reflect different ways to model data and support work. This article stays practical and helps you match a choice to your real needs. Understanding the core idea SQL databases are relational. They use tables with fixed schemas and strong, built-in ways to join data. NoSQL databases cover several models, such as key-value, document, columnar, and graph. They often offer flexible schemas and easier horizontal scaling. The trade-off is that some data relationships may require extra work to maintain. ...