Rust vs Scala: 30 Metrics Comparison

Rust vs Scala

Rust

Rust is a Procedural, Object-Oriented, Generic programming language first appeared in 2010, designed by Mozilla. Main use cases: Systems Programming, Embedded, Performance-Critical Applications.

Scala

Scala is a Object-Oriented, Functional programming language first appeared in 2004, designed by Martin Odersky. Main use cases: Backend Services, Enterprise Applications, Android.

30 Metrics

Metric Rust Scala
GitHub Stars 66161 55399
Stack Overflow Tags 892308 668243
TIOBE Rank 12 49
RedMonk Rank 20 51
PYPL Rank 9 56
Average Salary (USD) 132008 108106
Job Postings 40030 32694
Benchmarks Score 0.85 0.77
Learning Curve Hard Hard
Community Size Very Large Large
Documentation Quality 10 9
Ecosystem Maturity 10 9
Industry Adoption 10 9
Type System Complexity 10 7
Concurrency Support 10 4
Performance - Execution Speed 8 6
Performance - Memory Usage 8 5
Performance - Startup Time 8 6
Tooling Quality 8 9
Package Manager Quality 9 9
IDE Support 7 9
Debugging Experience 8 9
GitHub Stars Rank 4 25
Stack Overflow Tags Rank 2 32
Average Salary Rank 8 41
Job Postings Rank 17 35
Benchmarks Rank 19 36
Learning Curve Score 2 4
Community Size Score 10 8
AHP Score 8.1 7.17

AHP Score

  • Rust: 8.1 (#16)
  • Scala: 7.17 (#30)
Rust            | ######## 8.1
Scala           | ####### 7.17

When to choose Rust

Systems Programming, Embedded, Performance-Critical Applications. Rust is a Procedural, Object-Oriented, Generic programming language first appeared in 2010, designed by Mozilla. Main use cases: Systems Programming, Embedded, Performance-Critical Applications.

When to choose Scala

Backend Services, Enterprise Applications, Android. Scala is a Object-Oriented, Functional programming language first appeared in 2004, designed by Martin Odersky. Main use cases: Backend Services, Enterprise Applications, Android.

Hello World Example

Rust:

fn main(){ println!("Hello, World!"); }

Scala:

object Main extends App { println("Hello, World!") }

Other languages