Document-Db

SQL vs NoSQL: When to Use Each Choosing a database is a core design decision. SQL and NoSQL offer different strengths, and the best choice depends on how you store data, how you query it, and how you plan to grow. Start by outlining your data model and access patterns, then pick the tool that fits best. SQL databases store data in tables with fixed schemas. They enforce relationships, support joins, and guarantee consistency through ACID transactions. This makes them reliable for financial records, inventories, and systems that require precise accuracy. ...

NoSQL Databases When to Use and How to Model NoSQL databases offer flexibility and scale for modern apps. They are not a universal replacement for SQL. The right choice depends on how you will access data, what you store, and how you handle updates. Start by identifying your most common queries and growth plans. When NoSQL fits well You have evolving data with fewer hard schema rules. You need fast reads and writes at scale across many users or regions. Your data comes in JSON-like documents, key-value pairs, graphs, or wide tables. You can tolerate some eventual consistency in exchange for availability and speed. When to be cautious ...