SQL vs NoSQL Databases: How to Choose
SQL vs NoSQL explained by data shape and access pattern, with concrete examples for relational, document, key-value, wide-column and graph databases.
A software design in which an application is built and deployed as a single unit, with all features sharing one codebase.
In a monolithic application, the user interface, business logic, and data access live in one codebase and are deployed together. This is the traditional way to build software and is often the simplest starting point, because there is one thing to build, test, and run.
A small online bookshop might run as a monolith that handles the catalogue, shopping cart, payments, and admin screens in one application. As the business and team grow, monoliths can become harder to change safely, since a small update requires redeploying everything and parts of the code become tangled. Some organizations then split pieces into microservices. Many others keep a well-organized modular monolith, which avoids the operational overhead that comes with running many separate services.
The server-side part of an application that handles data storage, business logic, and integrations, out of the user's direct view.
MicroservicesAn architecture style in which an application is built as a collection of small, independent services that communicate over APIs.
Technical DebtThe future cost of rework caused by choosing a quick or easy software solution now instead of a better long-term approach.
SQL vs NoSQL explained by data shape and access pattern, with concrete examples for relational, document, key-value, wide-column and graph databases.
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