Interactive technology comparison · 32 languages & frameworks

R vs. Ruby: Comparison, differences & use cases

R and Ruby compared: differences, strengths and use cases – with the job market live from real postings and suitability per use case.

Active jobs
60
Since
1993
Typing
dynamisch
VS
Active jobs
7
Since
1995
Typing
dynamisch

Ruby leads in 7 of 8 use cases.

Live from 7,804 jobs

Who wins on the job market?

Real figures from all IT jobs currently published on Jobriver – not estimates. Every number states its basis.

Open positions

R is sought in 8.6 times as many job ads.

Remote or hybrid

R 37 %
Ruby 14 %

Basis: 60 and 7 jobs respectively

Senior & lead

R 10 %
Ruby 43 %

Junior jobs: 9 and 0 respectively

Salary according to job ads

R €61,500n = 46
Ruby too few jobs with salary (n = 3) –

Editorial assessment

Suitability by use case

0 to 100 per use case. Hover over an axis for the values – everything is listed as a table below.

1:7use cases ahead

Web backend 1 Frontend & dashboards 2 Data science & ML 3 Mobile apps 4 Systems programming 5 Scripting & automation 6 Game development 7 DevOps & cloud 8
Suitability per use case
Use caseRRuby
1Web backend 20less suitable 80good fit
2Frontend & dashboards 15less suitable 20less suitable
3Data science & ML 95excellent fit 25less suitable
4Mobile apps 5less suitable 20less suitable
5Systems programming 10less suitable 15less suitable
6Scripting & automation 60suitable 75good fit
7Game development 5less suitable 25less suitable
8DevOps & cloud 20less suitable 45suitable

Profile

Side by side.

RRuby
1993 Year released 1995
Funktional, statistisch Paradigm Multiparadigma (OOP, dynamisch)
dynamisch Typing dynamisch
Performance
Popularity
Learning curve (lower = easier)

R ist auf Statistik, Datenanalyse und Visualisierung spezialisiert. In Forschung und Data Science weit verbreitet, außerhalb davon kaum.

Ruby ist eine dynamische Sprache mit Fokus auf Lesbarkeit und Produktivität. Bekannt vor allem durch Ruby on Rails im Web-Backend.

Market demand is based on real, active IT job ads on Jobriver. The 1-5 ratings are editorial assessments.

Strengths & weaknesses

What speaks for which?

R

Pros

  • Unschlagbar für Statistik & Visualisierung
  • Riesiges Paket-Ökosystem (CRAN)
  • Standard in Forschung & Data Science
  • Schnelle explorative Datenanalyse

Cons

  • Außerhalb von Statistik kaum nutzbar
  • Performance bei großen Daten begrenzt
  • Eigenwillige Syntax
View R jobs

Ruby

Pros

  • Sehr lesbare, elegante Syntax
  • Hohe Produktivität, besonders mit Rails
  • Ausgereiftes Web-Ökosystem (Gems)
  • Angenehmer Einstieg

Cons

  • Geringere Laufzeit-Performance
  • Nachfrage rückläufig gegenüber der Hochzeit
  • Außerhalb des Webs kaum verbreitet
View Ruby jobs

Finder

Which one suits you?

What do you want to build?
What matters to you?
Type

How we calculate: average suitability for your use cases, +15 % weight per selected priority (learning curve, performance, jobs relative to the leader). Tie → alphabetical.

    FAQ

    Frequently asked questions about R and Ruby

    Salary comparison by role · IT skill trends

    What is the difference between R and Ruby?

    In the suitability comparison R leads in 1 and Ruby in 7 of 8 use cases; in the rest both are level. R fits Data science & ML best, Ruby fits Web backend best.

    How many jobs are there for R and Ruby?

    Currently 60 open IT jobs on Jobriver mention R, and 7 mention Ruby. Of these, 22 and 1 respectively are remote or hybrid.

    Is R or Ruby better for starting a career?

    For career starters there are currently 9 jobs with R and 0 jobs with Ruby; for senior and lead roles there are 6 and 3.

    Where are most jobs for R and Ruby?

    Most R jobs are in Berlin, most Ruby jobs are in Berlin.

    What do you earn with R compared to Ruby?

    In job ads with a salary, the median annual salary for R is EUR 61,500 gross and for Ruby EUR 69,500 gross (median of 46 and 3 ads).

    Decided? Then on to the job.

    Active IT jobs with exactly this technology – with salary, remote share and tech stack.