WebStorm vs. Posit

Groups that use a [variety] of development environments (.net, python, web), Jebrain's products and Webstorm, in particular, are a great choice for productivity. If your developers are accustom to another IDE it might be better for all to sync on the same one. I wouldn't take the cost aspect as a consideration. A productive developer is far more important.

Incentivized

In my humble opinion, if you are working on something related to Statistics, RStudio is your go-to tool. But if you are looking for something in Machine Learning, look out for Python. The beauty is that there are packages now by which you can write Python/SQL in R. Cross-platform functionality like such makes RStudio way ahead of its competition. A couple of chinks in RStudio armor are very small and can be considered as nagging just for the sake of argument. Other than completely based on programming language, I couldn't find significant drawbacks to using RStudio. It is one of the best free software available in the market at present.

Incentivized

• Includes a built in spell checker to eliminate time wasted searching for small mistakes.
• Provides a drop down menu of options complete with keyboard shortcuts that allow for streamlined programming.
• Identifies when variables are named differently, allowing for cohesive work without the scrolling.

Incentivized

• The support is incredibly professional and helpful, and they often go out of their way to help me when something doesn't work.
• The one-click publishing from RStudio Connect is absolutely amazing, and I really like the way that it deploys your exact package versions, because otherwise, you can get in a terrible mess.
• Python doesn't feel quite as native as R at the moment but I have definitely deployed stuff in R and Python that works beautifully which is really nice indeed.

Incentivized

• The popup file search sometimes frustrates me. It caps the number of results, and sometimes it isn't clear that it simply stopped looking. I also used to have trouble finding string occurrences that I knew were in my project, but I think they've made improvements in this area recently.
• Being a AAA IDE, WebStorm can be a memory hog. If I don't kill it every few days, it can get really slow. I would love to see performance improvements.
• Speaking of performance, WebStorm can take a long time to launch. I'd like to see improvements in launch times.

Incentivized

• Python integration is newer and still can be rough, especially with when using virtual environments.
• RStudio Connect pricing feels very department focused, not quite an enterprise perspective.
• Some of the RStudio packages don't follow conventional development guidelines (API breaking changes with minor version numbers) which can make supporting larger projects over longer timeframes difficult.

Incentivized

It's an irreplaceable part of my toolkit and isn't that expensive per year.

Incentivized

There is no viable alternative right now. The toolset is good and the functionality is increasing with every release. It is backed by regular releases and ongoing development by the RStudio team. There is good engagement with RStudio directly when support is required. Also there's a strong and growing community of developers who provide additional support and sample code.

Incentivized

Great in debugging, testing, developing and maintaining softwares in a number of languages. Great support for many languages and their syntaxes. Great support of many third party extensions and plugins like GIT and html plugins. The RAM usage of WebStorm however could be really improved, it literally takes almost all of the RAM of my machine with 16GB RAM

Incentivized

For someone who learns how to use the software and picks up on the "language" of R, it's very easy to use. For beginners, it can be hard and might require a course, as well as the appropriate statistical training to understand what packages to use and when

Incentivized

RStudio is very available and cheap to use. It needs to be updated every once in a while, but the updates tend to be quick and they do not hinder my ability to make progress. I have not experienced any RStudio outages, and I have used the application quite a bit for a variety of statistical analyses

Incentivized

I gave this rating because I have never needed their customer support, which is the highest level of support I suppose. When a product works just fine out of the box and everything you may need is well documented, it's a paradise for the customer. But I've seen some questions asked on their portal, and I've seen thorough answers given to the questions and the willingness to support the customer with follow-ups and everything else.

Incentivized

Since R is trendy among statisticians, you can find lots of help from the data science/ stats communities. If you need help with anything related to RStudio or R, google it or search on StackOverflow, you might easily find the solution that you are looking for.

Incentivized

Highly recommend the JetBrains Toolbox, it remembers your recent projects and launches from the task bar.

Incentivized

We did it at the individual level: anyone willing to code in R can use it. No real deployment involved.

I think WebStorm is way ahead of open-source editors. Please don't get me wrong, I love open-source. But the other free editors have a lot of configuration which blocks my whole coding experience. Take "Atom" for example. I used it for about 3 months, but in that time I had to update the plugins hundreds of time, and for every little thing (e.g. linter) I had to download a community plugin, and with each plugin atom would get a little slow. Take "Eclipse" for another example, which is very suited for Java, but not so suited for JavaScript. Sublime was good, but WebStorm comes with many exciting features that I did not find in sublime/notepad.

Incentivized

RStudio was provided as the most customizable. It was also strictly the most feature-rich as far as enabling our organization to script, run, and make use of R open-source packages in our data analysis workstreams. It also provided some support for python, which was useful when we had R heavy code with some python threaded in. Overall we picked Rstudio for the features it provided for our data analysis needs and the ability to interface with our existing resources.

Incentivized

RStudio is very scalable as a product. The issue I have is that it doesn't necessarily fit in nicely with the mainly Microsoft environment that everybody else is using. Having RStudio for us means dedicated servers and recruiting staff who know how to manage the environment. This isn't a fault of the product at all, it's just part of the data science landscape that we all have to put up with. Having said that RStudio is absolutely great for running on low spec servers and there are loads of options to handle concurrency, memory use, etc.

Incentivized

• Saves lot of time when we are finding the text or files.
• Easy to work with for support projects.
• Nice code completion feature.
• It's all in one solution for both front end, back end and database solution to work with.
• Initial learning curve is required to use the workbench.
• Documentation can be improved better probably adding videos, would be helpful for visual person.

Incentivized

• Using it for data science in a very big and old company, the most positive impact, from my point of view, has been the ability of spreading data culture across the group. Shortening the path from data to value.
• Still it's hard to quantify economic benefits, we are struggling and it's a great point of attention, since splitting out the contribution of the single aspects of a project (and getting the RStudio pie) is complicated.
• What is sure is that, in the long run, RStudio is boosting productivity and making the process in which is embedded more efficient (cost reduction).

Incentivized