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Django (/ ˈ dʒ æ ŋ ɡ oʊ / JANG-goh; sometimes stylized as django) [5] is a free and open-source, Python-based web framework that runs on a web server. It follows the model–template–views (MTV) architectural pattern .
BaaS providers form a bridge between the frontend of an application and various cloud-based backends via a unified API and SDK. [3] Providing a consistent way to manage backend data means that developers do not need to redevelop their own backend for each of the services that their apps need to access, [10] potentially saving both time and ...
In software development, frontend refers to the presentation layer that users interact with, while backend involves the data management and processing behind the scenes. In the client–server model, the client is usually considered the frontend, handling user-facing tasks, and the server is the backend, managing data and logic.
A back-end database is a database that is accessed by users indirectly through an external application rather than by application programming stored within the database itself or by low level manipulation of the data (e.g. through SQL commands).
Redis popularized the idea of a system that can be considered a store and a cache at the same time. It was designed so that data is always modified and read from the main computer memory, but also stored on disk in a format that is unsuitable for random data access.
Firebase's first product was the Firebase Realtime Database, an API that synchronizes application data across iOS, Android, and Web devices, and stores it on Firebase's cloud. The product assists software developers in building real-time, collaborative applications.
Echo originally started as a request-response web application framework that leveraged the Swing object model to improve the speed of application development. [1] Through the use of the Swing model, Echo was able to employ concepts such as components and event-driven programming that removed much of the pain of web application development.
U-SQL is a query language for Data Lake Analytics parallel data transformation and processing programs. It combines SQL and C#: it is and an evolution of the declarative SQL language with native extensibility through user code written in C#. U-SQL uses C# data types and the C# expression language.