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KDB, short for Kx Database, was created in 1993 by Arthur Whitney and the Kx Systems team. KDB is a high-performance, column-oriented time-series database primarily used for real-time and historical data analytics in finance, trading, and quantitative research. Developers can access KDB through the official Kx Systems platform: Kx KDB+, which provides the database engine, q programming language, and development tools for Linux, Windows, and macOS environments.

Lua, short for Lua Programming Language, was created in 1993 by Roberto Ierusalimschy, Luiz Henrique de Figueiredo, and Waldemar Celes at the Pontifical Catholic University of Rio de Janeiro. Lua is a lightweight, high-level scripting language designed for embedding in applications. It is widely used in game development, web applications, embedded systems, and configuration scripting.

Q, short for Q Programming Language, is a vector-based programming language developed by Arthur Whitney in 1993 for use with the KDB+ time-series database. It is primarily employed in high-performance financial, trading, and analytics systems, as well as real-time data applications. Developers can use Q by installing KDB+ with Q, which provides the interpreter, documentation, and tooling for Windows, macOS, and Linux platforms.

SQLite, short for Structured Query Language Lite, is a self-contained, serverless, and lightweight relational database engine that implements SQL. It is widely used in embedded systems, mobile applications, desktop software, and small-to-medium web applications. Developers can download SQLite from the official SQLite Downloads page, which provides precompiled binaries, source code, and documentation for multiple platforms including Windows, Linux, and macOS.

MySQL, short for My Structured Query Language, is an open-source relational database management system (RDBMS) that uses SQL for defining, manipulating, and querying data. It is widely used in web applications, server-side software, and enterprise systems. Developers can download MySQL from the official MySQL Downloads page, which provides installers, binaries, and documentation for Windows, Linux, and macOS platforms.

PostgreSQL, short for PostgreSQL Database Management System, is an open-source, high-performance relational database system that implements SQL standards and provides advanced features such as transactions, concurrency, and extensibility. It is widely used in web applications, enterprise systems, and data-driven software.

SQL, short for Structured Query Language, is a domain-specific language used for managing and manipulating relational databases. It is widely implemented in database management systems (DBMS) such as MySQL, PostgreSQL, Microsoft SQL Server, and SQLite. Developers can use SQL to create, read, update, and delete data, as well as define schemas, enforce constraints, and manage transactions.

X++, short for X++ Programming Language, is an object-oriented, event-driven language used primarily for business application development within Microsoft Dynamics 365 Finance and Operations (formerly Dynamics AX). It is designed to integrate tightly with the Dynamics platform, allowing developers to customize, extend, and automate enterprise workflows, data models, and forms. Developers can access X++ through the Microsoft Visual Studio-based development environment included with Dynamics 365 and compile code directly into the application server.

YQL, short for Yahoo Query Language, is a SQL-like language designed to query, filter, and combine data from web services and APIs. It was widely used in web applications to retrieve structured data such as RSS feeds, JSON, and XML from various sources using a consistent syntax. Developers could access YQL through the official Yahoo Developer Network endpoint, or via SDKs and HTTP requests for integration in web and server applications.

R, short for R Programming Language, is a high-level language and environment designed for statistical computing, data analysis, and graphical representation. It is widely used in academic research, data science, machine learning, and business analytics.