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Akka
Akka

448
360
+ 1
54
Rust
Rust

780
853
+ 1
594
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Akka vs Rust: What are the differences?

Akka: Build powerful concurrent & distributed applications more easily. Akka is a toolkit and runtime for building highly concurrent, distributed, and resilient message-driven applications on the JVM; Rust: A safe, concurrent, practical language. Rust is a systems programming language that combines strong compile-time correctness guarantees with fast performance. It improves upon the ideas of other systems languages like C++ by providing guaranteed memory safety (no crashes, no data races) and complete control over the lifecycle of memory.

Akka can be classified as a tool in the "Concurrency Frameworks" category, while Rust is grouped under "Languages".

"Great concurrency model" is the primary reason why developers consider Akka over the competitors, whereas "Guaranteed memory safety" was stated as the key factor in picking Rust.

Akka and Rust are both open source tools. It seems that Rust with 36.9K GitHub stars and 5.81K forks on GitHub has more adoption than Akka with 9.99K GitHub stars and 3.03K GitHub forks.

According to the StackShare community, Rust has a broader approval, being mentioned in 38 company stacks & 102 developers stacks; compared to Akka, which is listed in 75 company stacks and 54 developer stacks.

What is Akka?

Akka is a toolkit and runtime for building highly concurrent, distributed, and resilient message-driven applications on the JVM.

What is Rust?

Rust is a systems programming language that combines strong compile-time correctness guarantees with fast performance. It improves upon the ideas of other systems languages like C++ by providing guaranteed memory safety (no crashes, no data races) and complete control over the lifecycle of memory.
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What are some alternatives to Akka and Rust?
Spring
A key element of Spring is infrastructural support at the application level: Spring focuses on the "plumbing" of enterprise applications so that teams can focus on application-level business logic, without unnecessary ties to specific deployment environments.
Scala
Scala is an acronym for “Scalable Language”. This means that Scala grows with you. You can play with it by typing one-line expressions and observing the results. But you can also rely on it for large mission critical systems, as many companies, including Twitter, LinkedIn, or Intel do. To some, Scala feels like a scripting language. Its syntax is concise and low ceremony; its types get out of the way because the compiler can infer them.
Kafka
Kafka is a distributed, partitioned, replicated commit log service. It provides the functionality of a messaging system, but with a unique design.
Erlang
Some of Erlang's uses are in telecoms, banking, e-commerce, computer telephony and instant messaging. Erlang's runtime system has built-in support for concurrency, distribution and fault tolerance. OTP is set of Erlang libraries and design principles providing middle-ware to develop these systems.
Spring Boot
Spring Boot makes it easy to create stand-alone, production-grade Spring based Applications that you can "just run". We take an opinionated view of the Spring platform and third-party libraries so you can get started with minimum fuss. Most Spring Boot applications need very little Spring configuration.
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Decisions about Akka and Rust
StackShare Editors
StackShare Editors
Rust
Rust
Lua
Lua

To handle its growing observability needs, Postmates created and open sourced Cernan, a telemetry and logging aggregation server. Ceran is built on Rust and Lua, and can ingest data from many sources and then push or exposes what it’s collected to many destinations, or “sinks.” It can also create or manipulate in-flight data with programmable Lua filters.

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James Cunningham
James Cunningham
Operations Engineer at Sentry · | 18 upvotes · 39.7K views
atSentrySentry
Rust
Rust
Python
Python

Sentry's event processing pipeline, which is responsible for handling all of the ingested event data that makes it through to our offline task processing, is written primarily in Python.

For particularly intense code paths, like our source map processing pipeline, we have begun re-writing those bits in Rust. Rust’s lack of garbage collection makes it a particularly convenient language for embedding in Python. It allows us to easily build a Python extension where all memory is managed from the Python side (if the Python wrapper gets collected by the Python GC we clean up the Rust object as well).

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marcoalmeida
marcoalmeida
C
C
Go
Go
Rust
Rust
Python
Python

One important decision for delivering a platform independent solution with low memory footprint and minimal dependencies was the choice of the programming language. We considered a few from Python (there was already a reasonably large Python code base at Thumbtack), to Go (we were taking our first steps with it), and even Rust (too immature at the time).

We ended up writing it in C. It was easy to meet all requirements with only one external dependency for implementing the web server, clearly no challenges running it on any of the Linux distributions we were maintaining, and arguably the implementation with the smallest memory footprint given the choices above.

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Rust
Rust
C++
C++

Initially, I wrote my text adventure game in C++, but I later rewrote my project in Rust. It was an incredibly easier process to use Rust to create a faster, more robust, and bug-free project.

One difficulty with the C++ language is the lack of safety, helpful error messages, and useful abstractions when compared to languages like Rust. Rust would display a helpful error message at compile time, while C++ would often display "Segmentation fault (core dumped)" or wall of STL errors in the middle. While I would frequently push buggy code to my C++ repository, Rust enabled me to only even submit fully functional code.

Along with the actual language, Rust also included useful tools such as rustup and cargo to aid in building projects, IDE tooling, managing dependencies, and cross-compiling. This was a refreshing alternative to the difficult CMake and tools of the same nature.

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Dan Larsen
Dan Larsen
CTO at FlowStack · | 7 upvotes · 12.9K views
atFlowStack ApSFlowStack ApS
C++
C++
C
C
Rust
Rust
Go
Go

At FlowStack we write most of our backend in Go. Go is a well thought out language, with all the right compromises for speedy development of speedy and robust software. It's tooling is part of what makes Go such a great language. Testing and benchmarking is built into the language, in a way that makes it easy to ensure correctness and high performance. In most cases you can get more performance out of Rust and C or C++, but getting everything right is more cumbersome.

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Interest over time
Reviews of Akka and Rust
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How developers use Akka and Rust
Avatar of papaver
papaver uses AkkaAkka

we used akka as our concurrency system at talenthouse. had the chance to write several worker. we used both akka messaging and rabbitmq to communicate. quite a slick system, was fun writing it in scala.

Avatar of Marc3842h
Marc3842h uses RustRust

Rust is used in Shirogane (https://github.com/Marc3842h/shirogane).

Shirogane is a osu! beatmap mirror built for shiro. We use Rust because of memory safe but still low level and high performance.

Avatar of fileee GmbH
fileee GmbH uses AkkaAkka

Akka powers our asynchronous document upload processor, handling e.g. tasks for OCR, thumbnail generation and document analysis.

How much does Akka cost?
How much does Rust cost?
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