Java vs. Scala vs. Unlambda vs. distcc Comparison Chart

Scala combines object-oriented and functional programming in one concise, high-level language. Scala's static types help avoid bugs in complex applications, and its JVM and JavaScript runtimes let you build high-performance systems with easy access to huge ecosystems of libraries. The Scala compiler is smart about static types. Most of the time, you need not tell it the types of your variables. Instead, its powerful type inference will figure them out for you. In Scala, case classes are used to represent structural data types. They implicitly equip the class with meaningful toString, equals and hashCode methods, as well as the ability to be deconstructed with pattern matching. In Scala, functions are values, and can be defined as anonymous functions with a concise syntax.

Distcc is a distributed compilation system that accelerates C, C++, Objective-C, and Fortran builds by offloading compile jobs across multiple networked machines. It integrates seamlessly with GCC and Clang toolchains, transparently intercepting compiler calls and redistributing them to remote daemons while preserving optimization flags, include paths, and dependency tracking. Its client-server architecture features a lightweight listener that manages job queues, prioritizes local compilation when needed, and automatically detects available hosts via simple configuration or DNS. Distcc supports cross-compilation environments, SSH tunneling for secure clusters, blacklisting of unreliable servers, and integration with build systems like Make, CMake and Ninja. Monitoring tools provide real-time statistics on job distribution and throughput, and compatibility with compilation databases (compdb) enables granular control over distributed workloads.