The Howdy Glossary

DataFlex is an object-oriented 4GL programming language used for building web applications, client/server systems, and Windows applications, particularly in database management scenarios. Designed to support rapid development of reliable software that manages complex data exchanges, it includes features like dynamic object-oriented design capabilities, a rich array of GUI controls for interface creation, a database engine optimized for fast data retrieval, and multiplatform application support. Originally created by Data Access Worldwide in the late 1970s, DataFlex has evolved continually to meet developers' and businesses' changing needs.

Distinctive features include its dynamic object-oriented design that provides flexibility and scalability in application development. It offers a comprehensive set of GUI controls to simplify user interface creation and enhance user experience. The optimized database engine enables quick data retrieval from large datasets, which boosts overall application performance. Furthermore, it supports multiplatform deployment across various operating systems. These characteristics make DataFlex appealing to developers focused on business applications requiring swift construction of robust software capable of handling intricate data interactions efficiently.

Compared to competitors like Microsoft's .NET framework (C#, VB.NET), Java, Python, Ruby on Rails, and PHP—each offering unique strengths—DataFlex stands out with its emphasis on rapid application development tailored for complex business scenarios. Its robust support for database management systems combined with dynamic object-oriented design capabilities ensures scalability and flexibility in projects. The rich collection of GUI controls streamlines interface creation while the optimized database engine enhances performance through rapid data retrieval. This focus positions DataFlex as a compelling choice for developers aiming to build dependable software solutions quickly while managing complex business-centric data requirements effectively across multiple platforms.