Mongodb

NoSQL Considerations: When to Use Document, Key-Value, or Column Stores NoSQL databases come in several flavors. Three common families are document stores, key-value stores, and column stores. Each one has a different data model, a set of strengths, and typical use cases. Understanding these helps avoid overengineering a simple app or underinvesting in a scalable solution. Document stores store data as documents, often JSON or similar. They handle nested structures well and let you evolve schemas gradually. Use a document store when your data looks like objects with fields, and you need powerful queries on those fields. Example: a user profile with name, address, preferences, and a history of actions. ...

NoSQL Data Models: Document, Key-Value, Columnar NoSQL databases use different data models to fit varied tasks. The three common ones are document, key-value, and columnar. Each model has strengths for specific access patterns, so picking the right one can simplify development and speed up queries. In a document database, data is stored as documents. Documents use formats like JSON or a binary variant, and they can nest objects and arrays. A single document can hold a user profile with fields such as name and email, plus a list of orders. This flexible schema helps you evolve data without frequent migrations, while keeping related information together. ...

Databases Explained: From Relational to NoSQL Databases come in two big families. Relational databases organize information into tables with a fixed schema. They use SQL to read data, enforce relationships with keys, and keep transactions reliable. NoSQL databases cover several models that let data stay flexible, scale out easily, and handle large volumes. The best choice often depends on how you plan to query data and how you expect it to grow. ...