Erlang vs Haskell : Which is Better?

Erlang icon

Erlang

Erlang is a programming language used to build massively scalable soft real-time systems with requirements on high availability. Developed by Ericsson

License: Open Source

Categories: Development

Apps available for Mac OS X Windows Linux BSD

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Haskell icon

Haskell

Haskell is a standardized, general-purpose purely functional programming language, with non-strict semantics and strong static typing.

License: Open Source

Categories: Development

Apps available for Mac OS X Windows Linux BSD

Erlang VS Haskell

Haskell is a purely functional programming language with a strong static type system and lazy evaluation, making it well-suited for complex mathematical computations and data analysis. In contrast, Erlang is designed for building concurrent, fault-tolerant systems, particularly in telecommunications, using an actor model for managing state and processes.

Erlang

Pros:

  • Built-in support for concurrency
  • Designed for fault-tolerant systems
  • Great for distributed systems
  • Hot code swapping for uptime
  • Simplified error handling
  • Actor model for managing state
  • Good for real-time systems
  • Robust OTP framework
  • Strong community support
  • Suitable for telecom applications

Cons:

  • Syntax can be difficult for newcomers
  • Less expressive than Haskell in some aspects
  • Limited libraries for non-distributed applications
  • Performance can be slower for CPU-bound tasks
  • Not as suitable for mathematical computations
  • More boilerplate code required for certain tasks
  • Less flexible type system
  • Steeper learning curve compared to some dynamic languages
  • Runtime errors can be harder to track
  • Limited support for functional programming features

Haskell

Pros:

  • Strong static type system
  • Powerful abstraction capabilities
  • Rich type inference
  • Concise syntax
  • Highly expressive
  • Supports lazy evaluation
  • Large ecosystem of libraries and tools
  • Good for complex mathematical computations
  • Excellent for data analysis and manipulation
  • Strong community support

Cons:

  • Steep learning curve
  • Limited support for imperative programming
  • Long compilation times
  • Performance can be unpredictable
  • Not ideal for systems programming
  • Less suited for I/O heavy applications
  • Smaller community compared to mainstream languages
  • Limited libraries for web development
  • Less industry adoption
  • Verbose error messages

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