Go, Rust Haskell, Clojure, Perl, Ada Python and Java coexisting in a strange computational future fever dream of modern sofware development.
In the world of software development, selecting the right programming language is crucial, and not always an easy upfront choice. The Language Architecture Matrix is your strategic ally, guiding you through the myriad choices with insights into each language's core traits, architectural decisions, and their implications for your projects.
The matrix below covers the following for each major language:
Memory-Safe Language |
Key Trait |
Memory Safety Traits |
Architectural Decisions |
Weaknesses |
Tips & Tricks |
Resources |
Additional Info |
Commonly Converted From |
Reason for Conversion |
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Why I made this:
Ever wondered how the choice of a programming language can shape the destiny of your entire project?
If you’ve been around computers in the last decade, you’ve probably already been a part of the memory safety revolution, but have you really taken a step back to thing about how that’s affecting the convergant evolution of software language design?
If that’s a curiosity you’d like to chase, then welcome to a journey through the Language Architecture Matrix – not just a chart, but a key to unlocking the architectural essence of programming languages. This adventure is more than making choices; it's about discovering the DNA of coding languages and how they've evolved to meet the challenges of the digital age.
How It Helps in Thinking Architecturally Across Languages:
The matrix is more than a tool; it's a mindset shift. It encourages you to think multilingually in the global city of software development, understanding the cultural, structural, and functional aspects of each language. This approach fosters informed, architecturally sound choices, essential for any seasoned developer.
Let’s Get Started:
At the bottom, you’ll find a matrix to play with. Here’s a few things you can use the matrix to understand from historical examples:
Oh, and note that once you get down to Haskell, only real tip is to “Embrace monadic design patterns”, which we might dive into more this year. I hope you enjoy this matrix, and I’d welcome contributors to it! Scroll down to the very bottom of this article for a Dungeons and Dragons matrix of these same languages, it might be even more useful.
Images produced by the DALL·E 2 prompt, matrix produced by years 10+ years of just trying to build the best thing possible, no matter what.
Memory-Safe Language |
Key Trait |
Memory Safety Traits |
Architectural Decisions |
Weaknesses |
Tips & Tricks |
Resources |
Additional Info |
Commonly Converted From |
Reason for Conversion |
---|---|---|---|---|---|---|---|---|---|
Java |
Most used in enterprise applications |
Garbage Collection, Object-Oriented |
JVM provides a sandboxed execution environment |
Null references; Manual array bounds checking |
Use |
Modern versions have enhanced security features |
C, C++, COBOL |
Java offers a platform-independent JVM, making it a popular choice for enterprise applications transitioning from legacy systems. | |
C# |
Primary language for Windows development |
Garbage Collection, Object-Oriented |
.NET framework provides a vast library |
Null references; Unsafe code blocks |
Use |
Modern versions support nullable reference types |
Visual Basic, C++ |
.NET framework provides a vast library and modern features, making it a natural choice for Windows-based applications transitioning from older languages. | |
Kotlin |
Modern alternative to Java for Android |
Null safety, Smart casts |
Interoperable with Java; Coroutines for concurrency |
Still possible to have null pointer exceptions |
Use |
Officially supported by Android |
Java |
Kotlin is fully interoperable with Java but offers more concise syntax and modern features, making it a popular choice for Android development. | |
Scala |
Hybrid of functional and object-oriented paradigms |
Option and Either types, Immutable collections |
Mix of object-oriented and functional paradigms |
Complexity due to hybrid nature; JVM startup time |
Use pattern matching extensively; Favor immutability |
Runs on the JVM |
Java |
Scala offers both object-oriented and functional paradigms, making it appealing for Java applications looking to adopt functional programming. | |
Swift |
Modern language for iOS development |
Automatic Reference Counting (ARC), Optionals |
Protocol-oriented programming; Value semantics |
Bridging to Objective-C can introduce unsafety |
Use optionals ( |
Interoperable with Objective-C |
Objective-C |
Swift offers a more modern and safer syntax than Objective-C, making it the primary choice for iOS development. | |
Python |
Most popular scripting language |
Dynamic typing, Garbage Collection |
Dynamic nature allows for flexible coding patterns |
Slower execution; Global Interpreter Lock (GIL) |
Use |
GIL can be a bottleneck for multi-threaded applications |
Perl, PHP |
Python's simplicity and vast libraries make it a popular choice for web and scripting tasks transitioning from older scripting languages. | |
Rust |
Best for memory safety without garbage collection |
Ownership, Borrowing, Lifetimes |
Ownership system prevents data races |
Steeper learning curve due to strict compiler |
Use the borrow checker to your advantage; Understand |
Safe concurrency without a garbage collector |
C, C++ |
Rust's memory safety features without a garbage collector make it appealing for systems programming tasks that require performance and safety. | |
Go |
Known for simplicity and concurrency |
Garbage Collection, Static Typing |
Simple and efficient concurrency model |
No generics; Manual memory management in some cases |
Use goroutines and channels for concurrency; Understand zero values |
Emphasizes simplicity and efficiency |
C, C++ |
Go's simplicity and built-in concurrency make it a choice for backend services transitioning from C/C++ while wanting to maintain performance. | |
Elixir |
Modern syntax on the Erlang VM |
Immutable data, Lightweight process model |
Built on the Erlang VM (BEAM); Metaprogramming capabilities |
Limited libraries for certain domains |
Use |
Phoenix framework for web development |
Ruby, Erlang |
Elixir offers a modern syntax on the Erlang VM, making it appealing for scalable, fault-tolerant systems, especially those transitioning from Ruby on Rails. | |
Erlang |
Designed for fault-tolerant systems |
Lightweight processes, Message-passing |
Built for distributed, fault-tolerant systems |
Not as efficient for computation-heavy tasks |
Understand the actor model; Use pattern matching in function heads |
OTP framework provides design principles for building applications |
Prolog, older telecom languages |
Erlang's design for fault-tolerant and distributed systems makes it a choice for telecom and messaging systems. | |
Clojure |
Functional programming on the JVM |
Immutability, Functional |
Runs on JVM, emphasizes immutability |
JVM startup time; Slower than statically-typed languages |
Use transducers for efficient data transformation; Understand persistent data structures |
Clojure for the Brave and True, Clojure Docs *this book teaches you how to love coding, not just Clojure |
Emphasizes concurrency without locks |
Java |
Clojure offers functional programming on the JVM, making it a choice for Java applications looking to adopt functional paradigms. |
Haskell |
Pure functional language |
Pure functions, Immutability |
Lazy evaluation, strong static typing |
Complexity due to pure functional paradigm; Lazy evaluation can introduce space leaks |
Use strictness annotations to control evaluation; Embrace monadic design patterns |
Popular in academic and theoretical computing |
Imperative and object-oriented languages (e.g., Java, C++) |
Chosen for its strong emphasis on pure functional programming, leading to more predictable and maintainable code in complex algorithmic development. | |
Ada |
Emphasizes high-reliability |
Strong typing, Tasking for concurrency |
Designed for large, long-lived applications with stringent reliability requirements |
Verbose syntax; Steeper learning curve |
Use the package and tasking model effectively; Employ the SPARK subset for high-assurance systems |
Widely used in aerospace and defense industries |
Lower-level languages (e.g., Assembly, C) |
Preferred for its emphasis on safety and reliability in safety-critical applications, such as aerospace and defense, where failure is not an option. | |
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I want you to consider one more thing when you choose a language. There’s memory safety, then there’s the people you make memories with. Below is the only AI generated part of our original Gadfly Open Source Zine last year: a Dungeons and Dragons matrix that completely validated my personal thoughts on perl.
Alright go have fun. Build something beautiful this year.