Get Advice Icon

Need advice about which tool to choose?Ask the StackShare community!

C++
C++

4.4K
3.1K
+ 1
626
R Language
R Language

1.2K
813
+ 1
326
Add tool

C++ vs R: What are the differences?

What is C++? Has imperative, object-oriented and generic programming features, while also providing the facilities for low level memory manipulation. C++ compiles directly to a machine's native code, allowing it to be one of the fastest languages in the world, if optimized.

What is R? A language and environment for statistical computing and graphics. R provides a wide variety of statistical (linear and nonlinear modelling, classical statistical tests, time-series analysis, classification, clustering, ...) and graphical techniques, and is highly extensible.

C++ and R belong to "Languages" category of the tech stack.

"Performance" is the top reason why over 146 developers like C++, while over 58 developers mention "Data analysis " as the leading cause for choosing R.

Lyft, OkCupid, and Twitch are some of the popular companies that use C++, whereas R is used by AdRoll, Instacart, and Verba. C++ has a broader approval, being mentioned in 199 company stacks & 371 developers stacks; compared to R, which is listed in 128 company stacks and 97 developer stacks.

- No public GitHub repository available -
- No public GitHub repository available -

What is C++?

C++ compiles directly to a machine's native code, allowing it to be one of the fastest languages in the world, if optimized.

What is R Language?

R provides a wide variety of statistical (linear and nonlinear modelling, classical statistical tests, time-series analysis, classification, clustering, ...) and graphical techniques, and is highly extensible.
Get Advice Icon

Need advice about which tool to choose?Ask the StackShare community!

Why do developers choose C++?
Why do developers choose R Language?

Sign up to add, upvote and see more prosMake informed product decisions

Sign up to add, upvote and see more consMake informed product decisions

What companies use C++?
What companies use R Language?

Sign up to get full access to all the companiesMake informed product decisions

What tools integrate with C++?
What tools integrate with R Language?

Sign up to get full access to all the tool integrationsMake informed product decisions

What are some alternatives to C++ and R Language?
C
Python
Python is a general purpose programming language created by Guido Van Rossum. Python is most praised for its elegant syntax and readable code, if you are just beginning your programming career python suits you best.
JavaScript
JavaScript is most known as the scripting language for Web pages, but used in many non-browser environments as well such as node.js or Apache CouchDB. It is a prototype-based, multi-paradigm scripting language that is dynamic,and supports object-oriented, imperative, and functional programming styles.
PHP
Fast, flexible and pragmatic, PHP powers everything from your blog to the most popular websites in the world.
Java
Java is a programming language and computing platform first released by Sun Microsystems in 1995. There are lots of applications and websites that will not work unless you have Java installed, and more are created every day. Java is fast, secure, and reliable. From laptops to datacenters, game consoles to scientific supercomputers, cell phones to the Internet, Java is everywhere!
See all alternatives
Decisions about C++ and R Language
Dima Korolev
Dima Korolev
Principal Maintainer at Current | 3 upvotes 19.9K views
atFriendlyDataFriendlyData
Ruby
Ruby
C++
C++
#BNF
#NLP
#Grammar

Ruby NLP C++ Grammar #BNF

At FriendlyData we had a Ruby-based pipeline for natural language processing. Our technology is centered around grammar-based natural language parsing, as well as various product features, and, as the core stack of the company historically is Ruby, the initial version of the pipeline was implemented in Ruby as well.

As we were entering the exponential growth phase, both technology- and product-wise, we looked into how could we speed up and extend the performance and flexibility of our [meta-]BNF-based parsing engine. Gradually, we built the pieces of the engine in C++.

Ultimately, the natural language parsing stack spans three universes and three software engineering paradigms: the declarative one, the functional one, and the imperative one. The imperative one was and remains implemented in Ruby, the functional one is implemented in a functional language (this part is under the NDA, while everything I am talking about here is part of the public talks we gave throughout 2017 and 2018), and the declarative part, which can loosely be thought of as being BNF-based, is now served by the C++ engine.

The C++ engine for the BNF part removed the immediate blockers, gave us 500x+ performance speedup, and enabled us to launch new product features, most notably query completions, suggestions, and spelling corrections.

See more
Conor Myhrvold
Conor Myhrvold
Tech Brand Mgr, Office of CTO at Uber | 24 upvotes 1.2M views
atUber TechnologiesUber Technologies
Jaeger
Jaeger
Python
Python
Java
Java
Node.js
Node.js
Go
Go
C++
C++
Kubernetes
Kubernetes
JavaScript
JavaScript
Red Hat OpenShift
Red Hat OpenShift
C#
C#
Apache Spark
Apache Spark

How Uber developed the open source, end-to-end distributed tracing Jaeger , now a CNCF project:

Distributed tracing is quickly becoming a must-have component in the tools that organizations use to monitor their complex, microservice-based architectures. At Uber, our open source distributed tracing system Jaeger saw large-scale internal adoption throughout 2016, integrated into hundreds of microservices and now recording thousands of traces every second.

Here is the story of how we got here, from investigating off-the-shelf solutions like Zipkin, to why we switched from pull to push architecture, and how distributed tracing will continue to evolve:

https://eng.uber.com/distributed-tracing/

(GitHub Pages : https://www.jaegertracing.io/, GitHub: https://github.com/jaegertracing/jaeger)

Bindings/Operator: Python Java Node.js Go C++ Kubernetes JavaScript OpenShift C# Apache Spark

See more
Martin Lonkwitz
Martin Lonkwitz
Software engineering at SVA | 3 upvotes 21.6K views
C++
C++
Java
Java

Maybe not in everybody focus but I do like programming for @z/OS, @z/Linux and @z/VM with C++ , Java and Assembler . Who else love to dig into control blocks and get a deep dive into system resources to run things in a high valuable way ? And also go all the way up to the application to enlight all the infrastructure features to it ?

See more
C++
C++
Rust
Rust

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.

See more
Eric Colson
Eric Colson
Chief Algorithms Officer at Stitch Fix | 19 upvotes 629.6K views
atStitch FixStitch Fix
Kafka
Kafka
PostgreSQL
PostgreSQL
Amazon S3
Amazon S3
Apache Spark
Apache Spark
Presto
Presto
Python
Python
R Language
R Language
PyTorch
PyTorch
Docker
Docker
Amazon EC2 Container Service
Amazon EC2 Container Service
#AWS
#Etl
#ML
#DataScience
#DataStack
#Data

The algorithms and data infrastructure at Stitch Fix is housed in #AWS. Data acquisition is split between events flowing through Kafka, and periodic snapshots of PostgreSQL DBs. We store data in an Amazon S3 based data warehouse. Apache Spark on Yarn is our tool of choice for data movement and #ETL. Because our storage layer (s3) is decoupled from our processing layer, we are able to scale our compute environment very elastically. We have several semi-permanent, autoscaling Yarn clusters running to serve our data processing needs. While the bulk of our compute infrastructure is dedicated to algorithmic processing, we also implemented Presto for adhoc queries and dashboards.

Beyond data movement and ETL, most #ML centric jobs (e.g. model training and execution) run in a similarly elastic environment as containers running Python and R code on Amazon EC2 Container Service clusters. The execution of batch jobs on top of ECS is managed by Flotilla, a service we built in house and open sourced (see https://github.com/stitchfix/flotilla-os).

At Stitch Fix, algorithmic integrations are pervasive across the business. We have dozens of data products actively integrated systems. That requires serving layer that is robust, agile, flexible, and allows for self-service. Models produced on Flotilla are packaged for deployment in production using Khan, another framework we've developed internally. Khan provides our data scientists the ability to quickly productionize those models they've developed with open source frameworks in Python 3 (e.g. PyTorch, sklearn), by automatically packaging them as Docker containers and deploying to Amazon ECS. This provides our data scientist a one-click method of getting from their algorithms to production. We then integrate those deployments into a service mesh, which allows us to A/B test various implementations in our product.

For more info:

#DataScience #DataStack #Data

See more
Dan Larsen
Dan Larsen
CTO at FlowStack | 7 upvotes 74.4K views
atFlowStack ApSFlowStack ApS
Go
Go
Rust
Rust
C
C
C++
C++

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.

See more
Interest over time
Reviews of C++ and R Language
No reviews found
How developers use C++ and R Language
Avatar of benyomin
benyomin uses R LanguageR Language

What are my other choices for a vectorized statistics language. Professor was pushing SAS Jump (or was that SPSS) with a menu-driven point and click approach. (Reproducibility can still be accomplished, you publish the script generated by all your clicks.) But I want to type everything, great online tutorials for R. I think I made the right pick.

Avatar of Marc3842h
Marc3842h uses C++C++

C++ is used in Shiro (https://github.com/Marc3842h/shiro).

C++ is a high performance, low level programming language. Game servers need to run with fast performance to be able to reliably serve players across the globe.

Avatar of OnlineCity
OnlineCity uses C++C++

The most latency sensitive parts are written in C++. Due to our interconnected services architecture, we use either Python or C++ for each service, with the performance critical parts being C++14.

Avatar of POROWNEO.PL
POROWNEO.PL uses C++C++

Used to write PHP extensions - AZTEC Decoder - License Driver scan - Axis2/C to PHP wrapper and Job-scheduler - Barbershop

Avatar of Luca Fulchir
Luca Fulchir uses C++C++

Performance, zero-overhead abstractions and memory safety of the modern C++ language make this the perfect language for the project.

Avatar of Ralic Lo
Ralic Lo uses R LanguageR Language

Connect to database, data analytics, draw diagram. Machine Learning application, and also used Spark-R for big data processing.

Avatar of ApertusVR
ApertusVR uses C++C++

The main programming language of ApertusVR. C++11 & CMake provides multi-platform targeting. The architecture is modular.

Avatar of Tino Gehlert
Tino Gehlert uses R LanguageR Language

Visualisation of air quality in various rooms by RShiny (hosted free on shinyapps.io)

Avatar of Sesync
Sesync uses R LanguageR Language

R is primarily used by SESYNC's researchers

Avatar of STILLWATER SUPERCOMPUTING INC
STILLWATER SUPERCOMPUTING INC uses R LanguageR Language

Offline deep analytics and modeling

How much does C++ cost?
How much does R Language cost?
Pricing unavailable
Pricing unavailable
News about C++
More news
News about R Language
More news