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Julia vs Perl

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  • Last Updated : 28 Jan, 2022

Julia: Julia is a high-level programming language which was developed by 4 people at Massachusetts Institute of Technology (MIT). This programming language is used in scientific computing and it is an open-source, high-performance, high-level, dynamic programming language. Julia is mainly used by research scientists and engineers. The Julia programming language can also be called a flexible dynamic language, which is perfect for numerical and scientific computing. Julia has a very good speed in programming and this was the reason for building it. It has very faster execution.
Perl: Perl is a stable, cross-platform, general-purpose programming language originally developed for text manipulation. It is used for a wide range of tasks including system administration, web development, network programming, GUI development, etc. Perl supports both procedural and Object-Oriented programming. Perl is very similar to a programming language which is C syntactically and is easy to understand by the person who knows C, C++. Perl can be embedded into web servers to increase its processing power and it has the DBI package, which makes web-database integration very easy.


Below are some major differences between Julia and Perl: 

LicenseLicense associated with Julia is MIT License.License associated with Perl is GPLv3.
InterpreterJulia does not require use of interpreter.There is a requirement of interpreter in Perl.
Basic UseFor the high performance use, Julia was designed. Julia programs compile to efficient native code for multiple platforms via LLVM.Perl is a programming language. It was developed first to made the changes to text files.
TagThe tag used for Julia is Multiple Dispatch, Procedural, Functional, JIT, Metaprogramming, OOP.The tag used for Perl is Programming, functional, Multi-paradigm.
DatabaseDatabase used in julia are MongoDB, LevelDB, CouchDB, Flat File, MySQL, PostgreSQL.Database used in perl are MySQL, Microsoft SQL Server 2005, PostgreSQL, cassandra, Oracle, LevelDB, BigTable, Apache, CouchDB, Couchbase, Titan, Flat File, Drizzle, Freebase, teradata, Informix, InterBase, JDBC Compatible, MemcacheDB, StormDB, Redis, MongoDB, firebird, BaseX, Tarantool.
Target AudienceThe target audience in julia is Beginner Distributed Systems, Scientific computing, Research & Development, Cloud computing, Embedded systemThe target audience in perl is System Adminstration, Web Development, Employees, Customers, Vendors, Research & Development, Scientific computing, Financial Services, Enterprise, Beginner, App developer, Data Analysis, Educational use, Government
Difficulty LevelThe difficulty level in julia consists of Beginner Intermediate, Advanced, MasterThe difficulty level in perl consists of only Advanced.
InheritanceMultiple Inheritance is not allowed in julia.Multiple Inheritance is allowed in perl.
Machine Code GenerationMachine Code Generation is required in julia.Machine Code Generation requirement is not there in perl.
Realtime Server PushRealtime Server Push is there in the Julia.There is no Realtime Server Push present in perl.
VCSAny of the VCS is supported by julia.It supports only Git, CVS, Mercurial, Subversion, github
Community DrivenCommunity Driven rating is “good” in julia.Community Driven rating is “excellent” in perl.
HTML SyntaxThere is no HTML syntax requirement in julia.HTML syntax is required in Perl.
Native asynchronous operators awaitIt has Native asynchronous operators await/async.It does not have Native asynchronous operators await/async.
Writing a programWe can write a program in Sublime Text 3, Juno IDE, LightTable.We can write a program in AWstats.

Sample Program for Addition of Two Numbers:


# Julia program for
# Addition of Two Numbers
# Defining Numbers
x = 10
y = 20
# Adding Two Numbers
z = x + y
# Printing the output


# Perl program for
# Addition of Two Numbers
# Defining Numbers
$x = 10;
$y = 20;
# Adding Two Numbers
$z = $x + $y;
# Printing the output
print $z;



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