Legacy Code, Structured Languages, OOP, Web-based Solutions, and Functional Languages
Legacy languages still exist, and these are still in use in specific industries. There are still some insurance companies that make use of COBOL. Fortran modules are included in databases because of the speed of execution of mathematical equations. C language is alive and well in embedded solutions and operating systems. These are just some of the legacy languages still in use today. They were developed before the digital revolution and are the main reason computers became popular.
Legacy code still exists in modern mainframes, which coexist with large databases and big data solutions. These old systems are in use because they are stable solutions, and converting the systems to newer languages does not guarantee a seamless upgrade.
Additionally, there are older languages that offer unique solutions to established problems. By porting the massaged data, it is easier to plug in another answer with different hardware, running another system. It is not uncommon for big data to come from an Oracle database, ported to Teradata, and use SAS for data mining solutions. Using R for non-relational databases on a workstation has also become a trend.
Rust, Haskell, and Go are other big data and machine learning languages. There are plugins for C libraries for some language limitations, and this flexibility allows web-based solutions to run backend processing with interpreted frontend languages.
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