Data-Model

Database Design Patterns for High-Performance Apps Modern apps rely on fast data access as a core feature. A good database design balances speed, reliability, and simplicity. This guide shares practical patterns to help you build scalable, high‑performance systems without overengineering. Start by knowing your workload: what queries are most common, and how often data changes. This helps you choose between normalization, denormalization, smart indexing, and caching. Denormalization can speed up reads by keeping related data together. It reduces joins, but it makes updates more complex. Use denormalization for hot paths and keep a clear policy to keep data synchronized across tables. Pair it with careful data ownership and visible update rules to avoid drift. ...

NoSQL vs SQL: Choosing Your Data Model Choosing the right data model shapes how you store, query, and scale your app. SQL databases use tables, a fixed schema, and strong ACID guarantees. NoSQL covers patterns like document stores, key-value stores, wide-column stores, and graphs. Each pattern fits different needs, so your choice should match how you plan to use data. SQL shines when data is structured and you need reliable consistency. If your app tracks money, orders, or inventory with clear relations, a relational database makes sense. Complex queries, joins, and reporting are easier with SQL. ...