Compare the Top Enterprise Programming Languages as of July 2025

What are Enterprise Programming Languages?

Programming languages are a set of rules that form a language that programmers and developers can use to write software, applications, web apps, mobile apps, scripts, and more. Compare and read user reviews of the best Enterprise Programming Languages currently available using the table below. This list is updated regularly.

  • 1
    Nix

    Nix

    NixOS

    Nix is a tool that takes a unique approach to package management and system configuration. Learn how to make reproducible, declarative, and reliable systems. Nix builds packages in isolation from each other. This ensures that they are reproducible and don't have undeclared dependencies, so if a package works on one machine, it will also work on another. Nix makes it trivial to share development and build environments for your projects, regardless of what programming languages and tools you’re using. Nix ensures that installing or upgrading one package cannot break other packages. It allows you to roll back to previous versions and ensures that no package is in an inconsistent state during an upgrade. Nix is a purely functional package manager. This means that it treats packages like values in purely functional programming languages such as Haskell, they are built by functions that don’t have side effects, and they never change after they have been built.
    Starting Price: Free
  • 2
    Kotlin

    Kotlin

    Kotlin

    Easy to pick up, so you can create powerful applications immediately. Compatible with the Java ecosystem. Use your favorite JVM frameworks and libraries. Share application logic between web, mobile, and desktop platforms while keeping an experience native to users. Save time and get the benefit of unlimited access to features specific to these platforms. Kotlin has great support and many contributors in its fast-growing global community. Enjoy the benefits of a rich ecosystem with a wide range of community libraries. Help is never far away — consult extensive community resources or ask the Kotlin team directly. Kotlin Multiplatform Mobile is an SDK for iOS and Android app development. It offers all the combined benefits of creating cross-platform and native apps. Maintain a single codebase for networking, data storage, analytics, and the other logic of your Android and iOS apps.
    Starting Price: Free
  • 3
    Eiffel

    Eiffel

    Eiffel Software

    Eiffel is the most comprehensive approach to the construction of successful object-oriented software. You spend less on development, debugging, and maintenance. You get the bugs before they get you. You release quality products ahead of your competitors. Easier in every way, understanding, maintenance, reuse, and extension. Eiffel is the only approach that covers analysis, design, implementation, and maintenance in a single framework. Systems developed using Eiffel can be made portable across major industry platforms. Based on a small number of powerful ideas from computer science and software engineering. Products of all phases are recorded in a single document with multiple views. Exists to express the products of the Eiffel Method. Supports features not always available in competing technologies. Exception handling based on software specification (versus ad hoc try/catch). Widely recognized as simultaneously the simplest and most complete implementation of object-oriented concepts.
    Starting Price: Free
  • 4
    Oxygene

    Oxygene

    RemObjects Software

    Pascal is more relevant today than ever, and modern Pascal implementations such as Oxygene have a lot to bring to the table. Oxygene is a powerful general-purpose programming language, designed to let developers create all imaginable kinds of projects on a wide variety of platforms. To achieve this, it provides a combination of language features that ease the development processes, from basic object-oriented language concepts found in most modern languages (such as the concept of classes with methods, properties, and events) to sophisticated specialized language features that enable and ease specific development tasks (such as creating safe, multi-threaded applications), many of those unique to Oxygene. All of the provided features are based on the foundation of Object Pascal and stay true to the language design paradigms that make Pascal great, readable, and discoverable. As an object-oriented language, most code written in Oxygene lives in "classes".
    Starting Price: $199 one-time payment
  • 5
    RemObjects Mercury

    RemObjects Mercury

    RemObjects Mercury

    Mercury is an implementation of the BASIC programming language that is fully code-compatible with Microsoft Visual Basic.NET™, but takes it to the next level, and to new horizons. With Mercury, you will be able to build your existing VB.NET projects and leverage your Visual Basic™ language experience to write code for any modern target platform. You can mix Mercury code with any of the other five Elements languages in the same project if you like! The Mercury language will be deeply integrated into our development environments. Develop your projects in our smart yet lightweight IDEs, Water on Windows or Fire on Mac, with project templates, code completion, integrated debugging for all platforms, and many other advanced development features. Of course, Mercury will also integrate into Visual Studio™ 2017, 2019 and 2022. With Elements, all languages are created equal. Even within the same project, you can mix Mercury, C#, Swift, Java, Oxygene and Go.
    Starting Price: $49 per month
  • 6
    Synergy DBL

    Synergy DBL

    Synergex

    Synergy DBL is a proven, ANSI-standard business language with class libraries, a high-performance database, and .NET interoperability at the heart of the Synergy/DE product suite. Flexible and reliable, it gives you the power to create scalable, portable enterprise applications and supports both object-oriented and structured programming techniques. Synergy DBL comes in two forms: traditional Synergy DBL and Synergy DBL for .NET. Traditional Synergy DBL supports numerous open technologies (including XML, HTTPS, SSL, and ActiveX) that allow you to interface with third-party applications and data. The multi-pass Synergy DBL compiler supports strong prototyping and other strict error-detection features. Synergy DBL for .NET enables you to create Synergy libraries and applications that run natively in the .NET framework, then extend your applications by taking advantage of .NET Framework libraries and third-party controls and interoperating with applications written in other languages.
    Starting Price: Free
  • 7
    XSharp (X#)
    X# is an open-source development language for .NET, based on the xBase language. It comes in different flavors, such as Core, Visual Objects, Vulcan.NET, xBase++, Harbour, Foxpro, and more. X# has been built on top of Roslyn, the open-source architecture behind the current Microsoft C# and Microsoft Visual Basic compilers. We have added a new options page (tools/options/text editor/X#) where you can control which suggestions the editor will suggest in the "general" code completion list. Code completion after a colon or dot will show namespaces, types, members, etc. And code completion after AS or IS will show types and namespaces. Several preprocessor fixes to make the preprocessor more compatible with FoxPro and Xbase++. We have also added the #if and #stdout commands. We added several smaller fixes in the RDD system to improve the compatibility with Visual Objects, XBase++ and FoxPro.
    Starting Price: Free
  • 8
    Haskell

    Haskell

    Haskell

    Every expression in Haskell has a type that is determined at compile time. All the types composed together by function application have to match up. If they don't, the program will be rejected by the compiler. Types become not only a form of guarantee, but a language for expressing the construction of programs. Every function in Haskell is a function in the mathematical sense (i.e., "pure"). Even side-effecting IO operations are but a description of what to do, produced by pure code. There are no statements or instructions, only expressions that cannot mutate variables (local or global) nor access state like time or random numbers. You don't have to explicitly write out every type in a Haskell program. Types will be inferred by unifying every type bidirectionally. However, you can write out types if you choose, or ask the compiler to write them for you for handy documentation.
    Starting Price: Free
  • 9
    Rust

    Rust

    Rust

    Rust is blazingly fast and memory-efficient: with no runtime or garbage collector, it can power performance-critical services, run on embedded devices, and easily integrate with other languages. Rust’s rich type system and ownership model guarantee memory-safety and thread-safety — enabling you to eliminate many classes of bugs at compile-time. Rust has great documentation, a friendly compiler with useful error messages, and top-notch tooling — an integrated package manager and build tool, smart multi-editor support with auto-completion and type inspections, an auto-formatter, and more. Whip up a CLI tool quickly with Rust’s robust ecosystem. Rust helps you maintain your app with confidence and distribute it with ease. Use Rust to supercharge your JavaScript, one module at a time. Publish to npm, bundle with webpack, and you’re off to the races.
    Starting Price: Free
  • 10
    Julia

    Julia

    Julia

    Julia was designed from the beginning for high performance. Julia programs compile to efficient native code for multiple platforms via LLVM. Julia uses multiple dispatch as a paradigm, making it easy to express many object-oriented and functional programming patterns. The talk on the Unreasonable Effectiveness of Multiple Dispatch explains why it works so well. Julia is dynamically typed, feels like a scripting language, and has good support for interactive use. Julia provides asynchronous I/O, metaprogramming, debugging, logging, profiling, a package manager, and more. One can build entire Applications and Microservices in Julia. Julia is an open source project with over 1,000 contributors. It is made available under the MIT license.
    Starting Price: Free
  • 11
    SystemC

    SystemC

    SystemC

    Your online reference for everything related to SystemC, the language for system-level design, high-level synthesis, modeling and verification. SystemC™ addresses the need for a system design and verification language that spans hardware and software. It is a language built in standard C++ by extending the language with the use of class libraries. The language is particularly suited to model system's partitioning, to evaluate and verify the assignment of blocks to either hardware or software implementations, and to architect and measure the interactions between and among functional blocks. Leading companies in the intellectual property (IP), electronic design automation (EDA), semiconductor, electronic systems, and embedded software industries currently use SystemC for architectural exploration, to deliver high-performance hardware blocks at various levels of abstraction and to develop virtual platforms for hardware/software co-design.
    Starting Price: Free
  • 12
    V Programming Language

    V Programming Language

    V Programming Language

    Simple, fast, safe, and compiled. For developing maintainable software. Simple language for building maintainable programs. You can learn the entire language by going through the documentation over a weekend, and in most cases, there's only one way to do something. This results in simple, readable, and maintainable code. This results in simple, readable, and maintainable code. Despite being simple, V gives a lot of power to the developer and can be used in pretty much every field, including systems programming, webdev, gamedev, GUI, mobile, science, embedded, tooling, etc. V is very similar to Go. If you know Go, you already know 80% of V. Bounds checking, No undefined values, no variable shadowing, immutable variables by default, immutable structs by default, option/result and mandatory error checks, sum types, generics, and immutable function args by default, mutable args have to be marked on call.
    Starting Price: Free
  • 13
    AMPL

    AMPL

    AMPL

    AMPL is a powerful and intuitive modeling language designed to represent and solve complex optimization problems. It enables users to formulate mathematical models in a syntax that closely mirrors algebraic notation, facilitating a clear and concise representation of variables, objectives, and constraints. AMPL supports a wide range of problem types, including linear programming, nonlinear programming, mixed-integer programming, and more. One of its key strengths is the ability to separate models and data, allowing for flexibility and scalability in handling large-scale problems. The platform offers seamless integration with numerous solvers, both commercial and open-source, providing users with the flexibility to choose the most appropriate solver for their specific needs. AMPL is available across multiple operating systems, including Windows, macOS, and Linux, and offers various licensing options.
    Starting Price: $3,000 per year
  • 14
    C++/CLI

    C++/CLI

    Microsoft

    In Visual Studio 2022, the default target framework for .NET Core projects is 6.0. For .NET Frameworks projects, the default is 4.7.2. The .NET Framework version selector is on the configure your new project page of the create a new project dialog. C++/CLI itself isn't installed by default when you install a Visual Studio C++ workload. To install the component after Visual Studio is installed, open the Visual Studio Installer by selecting the Windows Start menu and searching for visual studio installer. Choose the modify button next to your installed version of Visual Studio. Select the Individual components tab. Scroll down to the compilers, build tools, and runtimes section, and select C++/CLI support for v143 build tools (Latest). Select modify to download the necessary files and update Visual Studio. By using C++/CLI you can create C++ programs that use .NET classes as well as native C++ types. C++/CLI is intended for use in console applications.
    Starting Price: Free
  • 15
    Cython

    Cython

    Cython

    Cython is an optimizing static compiler for both the Python programming language and the extended Cython programming language (based on Pyrex). It makes writing C extensions for Python as easy as Python itself. Cython gives you the combined power of Python and C to let you write Python code that calls back and forth from and to C or C++ code natively at any point. Easily tune readable Python code into plain C performance by adding static type declarations, also in Python syntax. Use combined source code level debugging to find bugs in your Python, Cython, and C code. Interact efficiently with large data sets, e.g. using multi-dimensional NumPy arrays. Quickly build your applications within the large, mature, and widely used CPython ecosystem. The Cython language is a superset of the Python language that additionally supports calling C functions and declaring C types on variables and class attributes.
    Starting Price: Free
  • 16
    BoxLang

    BoxLang

    BoxLang

    BoxLang is a modern, dynamically and loosely typed scripting language for the Java Virtual Machine (JVM) that supports Object-Oriented (OO) and Functional Programming (FP) constructs. It can be deployed on multiple platforms and all operating systems, web servers, Java application servers, AWS Lambda, WebAssembly, and more. BoxLang combines many features from different programming languages to provide developers with a modern, fluent, and expressive syntax. BoxLang has been designed to be a highly modular and dynamic language that takes advantage of all the modern features of the JVM. It is dynamically typed, which means there's no need to declare types. It can perform type inference, auto-casting, and promotions between different types. The language adjusts to its deployed runtime and can add, remove, or modify methods and properties at runtime.
  • 17
    Ada

    Ada

    AdaCore

    Ada is a state-of-the-art programming language that development teams worldwide are using for critical software, from microkernels and small-footprint, real-time embedded systems to large-scale enterprise applications, and everything in between. Why use Ada? In short, because you want to write reliable and efficient code, with confidence that it works, and not waste time and effort in the process. Ada is unique among languages in how it helps you detect and eliminate bugs early in the software life cycle when they are least expensive to correct. And as evidenced by the many successfully fielded applications that need to meet a hard time or space constraints, Ada helps you build software that is reliable, safe, and secure without sacrificing performance. At the technical level, Ada has everything you might expect in a modern language. Concurrent programming features, including support for multicore.
  • Previous
  • You're on page 1
  • Next