Open positions
60
0
There are currently no active jobs with Scala.
Interactive technology comparison · 32 languages & frameworks
R vs. ScalaComparison, differences & use cases
R and Scala 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
- –
- Since
- 2004
- Typing
- statisch
Scala 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.
Remote or hybrid
Basis: 60 and 0 jobs respectively
Senior & lead
Junior jobs: 9 and 0 respectively
Salary according to job ads
R
€61,500n = 46
Scala
too few jobs with salary (n = 0)
–
Top cities for R
Top cities for Scala
No active jobs.
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.
2:5use cases ahead · 1 tied
| Use case | R | Scala |
|---|---|---|
| 1Web backend | 20less suitable | 75good fit |
| 2Frontend & dashboards | 15less suitable | 15less suitable |
| 3Data science & ML | 95excellent fit | 80good fit |
| 4Mobile apps | 5less suitable | 25less suitable |
| 5Systems programming | 10less suitable | 35less suitable |
| 6Scripting & automation | 60suitable | 40suitable |
| 7Game development | 5less suitable | 25less suitable |
| 8DevOps & cloud | 20less suitable | 55suitable |
Profile
Side by side.
RScala
1993
Year released
2004
Funktional, statistisch
Paradigm
Multiparadigma (OOP, funktional)
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.
Scala vereint funktionale und objektorientierte Programmierung auf der JVM. Stark im Big-Data-Umfeld (Apache Spark) und bei anspruchsvollen Backends.
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
Scala
Pros
- Mächtige Kombination aus OOP und funktional
- Voll interoperabel mit Java/JVM
- Stark im Big-Data-Umfeld (Spark)
- Ausdrucksstarkes Typsystem
Cons
- Steile Lernkurve
- Lange Kompilierzeiten
- Komplexität kann ausufern
Finder
Which one suits you?
How we calculate: average suitability for your use cases, +15 % weight per selected priority (learning curve, performance, jobs relative to the leader). Tie → alphabetical.
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What is the difference between R and Scala?
In the suitability comparison R leads in 2 and Scala in 5 of 8 use cases; in the rest both are level. R fits Data science & ML best, Scala fits Data science & ML best.
How many jobs are there for R and Scala?
Currently 60 open IT jobs on Jobriver mention R, and 0 mention Scala. Of these, 22 and 0 respectively are remote or hybrid.
Is R or Scala better for starting a career?
For career starters there are currently 9 jobs with R and 0 jobs with Scala; for senior and lead roles there are 6 and 0.
Where are most jobs for R and Scala?
Most R jobs are in Berlin, most Scala jobs are in –.
Decided? Then on to the job.
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