Interactive technology comparison · 32 languages & frameworks

Go vs. R: Comparison, differences & use cases

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

Active jobs
84
Since
2009
Typing
statisch
VS
Active jobs
60
Since
1993
Typing
dynamisch

Go leads in 6 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

Go is sought in 1.4 times as many job ads.

Remote or hybrid

Go 61 %
R 37 %

Basis: 84 and 60 jobs respectively

Senior & lead

Go 33 %
R 10 %

Junior jobs: 6 and 9 respectively

Salary according to job ads

Go €65,000n = 75
R €61,500n = 46

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.

6:1use cases ahead · 1 tied

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 caseGoR
1Web backend 88excellent fit 20less suitable
2Frontend & dashboards 15less suitable 15less suitable
3Data science & ML 40suitable 95excellent fit
4Mobile apps 25less suitable 5less suitable
5Systems programming 70good fit 10less suitable
6Scripting & automation 70good fit 60suitable
7Game development 35less suitable 5less suitable
8DevOps & cloud 95excellent fit 20less suitable

Profile

Side by side.

GoR
2009 Year released 1993
Imperativ, nebenläufig Paradigm Funktional, statistisch
statisch Typing dynamisch
Performance
Popularity
Learning curve (lower = easier)

Go (Golang) ist bewusst minimalistisch, kompiliert schnell und glänzt bei Netzwerk- und Cloud-Diensten. Einfache Nebenläufigkeit über Goroutinen.

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

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?

Go

Pros

  • Sehr einfache, schnell erlernbare Sprache
  • Exzellent für Cloud- und Netzwerkdienste
  • Schnelle Kompilierung, einzelne Binary
  • Eingebaute, einfache Nebenläufigkeit

Cons

  • Bewusst minimalistisch, wenig Sprachzucker
  • Schwach im Frontend und bei Data Science
  • Fehlerbehandlung sehr ausführlich
View Go jobs

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

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 Go and R

    Salary comparison by role · IT skill trends

    What is the difference between Go and R?

    In the suitability comparison Go leads in 6 and R in 1 of 8 use cases; in the rest both are level. Go fits DevOps & cloud best, R fits Data science & ML best.

    How many jobs are there for Go and R?

    Currently 84 open IT jobs on Jobriver mention Go, and 60 mention R. Of these, 51 and 22 respectively are remote or hybrid.

    Is Go or R better for starting a career?

    For career starters there are currently 6 jobs with Go and 9 jobs with R; for senior and lead roles there are 28 and 6.

    Where are most jobs for Go and R?

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

    What do you earn with Go compared to R?

    In job ads with a salary, the median annual salary for Go is EUR 65,000 gross and for R EUR 61,500 gross (median of 75 and 46 ads).

    Decided? Then on to the job.

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