Backend & Database

FARIN ANDISHE MANDEGAR

Tools & Technologies Used in Back-end and Database

Our purpose is to ensure a successful technological approach to needs of our clients for solid backend and database solutions, we utilize technologies such as below.

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    Node.js

    Node.js is an open-source server side runtime environment built on Chrome's V8 JavaScript engine. It provides an event driven, non-blocking (asynchronous) I/O and cross-platform runtime environment for building highly scalable server-side application using JavaScript. Node.js can be used to build different types of applications such as command line application, web application, real-time chat application, REST API server etc. However, it is mainly used to build network programs like web servers, similar to PHP, Java, or ASP.NET.

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    Python

    Python is an object-oriented, high-level programming language with integrated dynamic semantics primarily for web and app development. It is extremely attractive in the field of Rapid Application Development because it offers dynamic typing and dynamic binding options. Python supports the use of modules and packages, which means that programs can be designed in a modular style and code can be reused across a variety of projects. Once you have developed a module or package you need, it can be scaled for use in other projects, and it's easy to import or export these modules.

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    Go

    Go is an open source programming language developed at Google and designed to help build simple reliable software systems. The core strength of Go is its concurrency mechanisms which make it simpler to write software, to exploit multi-core architectures. It is a compiled, strongly - statically typed, concurrent and garbage-collected language. It is a very interesting, modern day language because of some of the choices that have been made during its design.

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    PHP

    PHP was at first created as a simple scripting platform called "Personal Home Page". Nowadays PHP is an alternative of the Microsoft's Active Server Pages (ASP) technology. PHP is an open source server-side language which is used for creating dynamic web pages. It can be embedded into HTML. PHP is usually used in conjunction with a MySQL database on Linux/UNIX web servers. It is probably the most popular scripting language. PHP is a widely used general-purpose scripting language and interpreter that is freely available.

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    PostgreSQL

    PostgreSQL is an advanced, enterprise class open source relational database that supports both SQL (relational) and JSON (non-relational) querying. It is a highly stable database management system, backed by more than 20 years of community development which has contributed to its high levels of resilience, integrity, and correctness. PostgreSQL is used as the primary data store or data warehouse for many web, mobile, geospatial, and analytics applications. Any corporation or other private entity does not control PostgreSQL.

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    MySQL

    MySQL is an Oracle-backed open source relational database management system (RDBMS) based on Structured Query Language (SQL). MySQL runs on virtually all platforms, including Linux, UNIX and Windows. Although it can be used in a wide range of applications, MySQL is most often associated with web applications and online publishing. Today, MySQL is the RDBMS behind many of the top websites in the world and countless corporate and consumer-facing web-based applications, including Facebook, Twitter and YouTube.

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    MongoDB

    MongoDB is an open source database management system (DBMS) that uses a document-oriented database model which supports various forms of data. It is one of numerous non-relational database technologies which arose in the mid-2000s under the NoSQL banner for use in big data applications and other processing jobs involving data that doesn't fit well in a rigid relational model. Instead of using tables and rows as in relational databases, the MongoDB architecture is made up of collections and documents.

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    Redis

    Redis (REmote DIctionary Server) is an in-memory, key-value database, commonly referred to as a data structure server. One of the key differences between Redis and other key-value databases is Redis’s ability to store and manipulate high-level data types. These data types are fundamental data structures like lists, maps, sets and sorted sets. Redis’s exceptional performance, simplicity, and atomic manipulation of data structures lends itself to solving problems that are difficult or perform poorly when implemented with traditional relational databases.

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    Apache

    Apache Cassandra is an open source distributed database system that is designed for storing and managing large amounts of data across commodity servers. Cassandra can serve as both a real-time operational data store for online transactional applications and a read-intensive database for large-scale business intelligence (BI) systems. Originally created for Facebook, Cassandra is designed to have peer-to-peer symmetric nodes, instead of master or named nodes, to ensure there can never be a single point of failure (SPoF).

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    Elasticsearch

    Elasticsearch is an open-source, broadly-distributable, readily-scalable, enterprise-grade search engine. Accessible through an extensive and elaborate API, Elasticsearch can power extremely fast searches that support your data discovery applications. Elasticsearch can scale up to thousands of servers and accommodate petabytes of data. Its enormous capacity results directly from its elaborate, distributed architecture. Yet the ES user can be thankfully unaware of nearly all of the automation and complexity that supports this distributed design.