Columnar

Databases Demystified: From SQL to NoSQL Databases help apps store information reliably. Two broad families dominate: SQL databases, which use tables and fixed schemas, and NoSQL databases, which include documents, key-value pairs, wide columns, and graphs. SQL favors structured queries and strong consistency, while NoSQL often offers more flexible data models and easier scaling. This post summarizes the core ideas, helps you compare options, and avoids common myths about which choice is better in every case. ...

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. ...