Interactive technology comparison · 32 languages & frameworks

R vs. C: Comparison, differences & use cases

R and C 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
184
Since
1972
Typing
statisch

C leads in 5 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

C is sought in 3.1 times as many job ads.

Remote or hybrid

R 37 %
C 26 %

Basis: 60 and 184 jobs respectively

Senior & lead

R 10 %
C 11 %

Junior jobs: 9 and 10 respectively

Salary according to job ads

R €61,500n = 46
C €58,500n = 148

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.

3:5use 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 caseRC
1Web backend 20less suitable 30less suitable
2Frontend & dashboards 15less suitable 5less suitable
3Data science & ML 95excellent fit 35less suitable
4Mobile apps 5less suitable 25less suitable
5Systems programming 10less suitable 98excellent fit
6Scripting & automation 60suitable 30less suitable
7Game development 5less suitable 75good fit
8DevOps & cloud 20less suitable 45suitable

Profile

Side by side.

RC
1993 Year released 1972
Funktional, statistisch Paradigm Imperativ, prozedural
dynamisch Typing statisch
Performance
Popularity
Learning curve (lower = easier)

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

C ist die hardwarenahe Klassikersprache hinter Betriebssystemen und eingebetteten Systemen. Maximale Kontrolle und Performance, aber wenig Sicherheitsnetz.

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

C

Pros

  • Maximale Performance und Kontrolle
  • Läuft praktisch überall (Hardware-nah)
  • Fundament für Betriebssysteme & Embedded
  • Sehr kleine, schnelle Programme

Cons

  • Manuelle Speicherverwaltung, fehleranfällig
  • Kein modernes Sicherheitsnetz
  • Geringe Produktivität bei großen Apps
View C 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 C

    Salary comparison by role · IT skill trends

    What is the difference between R and C?

    In the suitability comparison R leads in 3 and C in 5 of 8 use cases; in the rest both are level. R fits Data science & ML best, C fits Systems programming best.

    How many jobs are there for R and C?

    Currently 60 open IT jobs on Jobriver mention R, and 184 mention C. Of these, 22 and 48 respectively are remote or hybrid.

    Is R or C better for starting a career?

    For career starters there are currently 9 jobs with R and 10 jobs with C; for senior and lead roles there are 6 and 20.

    Where are most jobs for R and C?

    Most R jobs are in Berlin, most C jobs are in München.

    What do you earn with R compared to C?

    In job ads with a salary, the median annual salary for R is EUR 61,500 gross and for C EUR 58,500 gross (median of 46 and 148 ads).

    Decided? Then on to the job.

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