WebStorm vs. SAS Viya

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.

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SAS Advance Analytics is well suited for data that is visual. Data where you want to see multiple graphs and models are good for this software. However, if your data is more descriptive this may not be the best program. SAS is well suited for data where you need to make comparisons on the feasibility of two different programs. Data that can be compared is perfect for this software.

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• 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.

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• SAS is can be used as query builder tool which can automate a lot of excel process.
• There are variety of statistical options available that tie up good visual analytics.
• There are inbuilt models available for different operations which doesn't require any coding and are easy to run.

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• 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.

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• SAS Analytics does not have very good graphic capabilities. Their advanced graphics packages are expensive, and still not very appealing or intuitive to customize.
• SAS Analytics is not as up-to-date when it comes to advanced analytical techniques as R or other open-source analytics packages.

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

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Not only does SAS become easier to use as the user gets more familiar with its capabilities, but the customer service is excellent. Any issues with SAS and their technical team is either contacting the user via email, chat, text, WebEx, or phone. They have power users that have years of experience with SAS there to help with any issue.

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

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If SAS Enterprise Guide is utilized any beginning user will be able to shorten the learning curve. This is allow the user a plethora of basic capabilities until they can utilize coding to expand their needs in manipulating and presenting data. SAS is also dedicated to expanding this environment so it is ever growing.

SAS probably has the most market saturation out of all of the analytics software worldwide. They are in every industry and they are knowledgable about every industry. They are always available to take questions, solve issues, and discuss a company's needs. A company that buys SAS software has a dedicated representative that is there for all of their needs.

Although nothing is perfect, SAS is almost there. The software can handle billions of rows of data without a glitch and runs at a quick pace regardless of what the user wants to perform. SAS products are made to handle data so performance is of their utmost important. The software is created to run things as efficiently as SAS software can to maximize performance.

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.

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SAS is generally known for good support that's one of the main reasons to justify the cost of having SAS licenses within our organization is knowing that customer support is just a quick phone call away. I've usually had good experiences with the SAS customer support team it's one of the ways in which the company stands out in my view.

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SAS has regional and national conferences that are dedicated to expanding users' knowledge of the software and showing them what changes and additions they are making to the software. There are user groups in most of the major cities that also provide multi-day seminars that focus on specific topics for education. If online training isn't the best way for the user, there is ample in-person training available.

There are online videos, live classes, and resource material which makes training very easy to access. However, nothing is circumstantial so applying your training can get tricky if the user is performing complex tasks. When purchasing software, SAS will also allocate education credits so the user(s) can access classes and material online to help expand their knowledge.

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

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Ask as many questions you can before the install to understand the process. Since a third party does the installation your company is sort of a passanger and it is easy to get lost in the process. It also helps to have all users and IT support involved in the install to help increase the knowledge as to how SAS runs and what it needs to perform correctly.

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.

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SAS was the incumbent tool, and what the team knew. We did look into using Revolution Analytics enterprise version of R, but the learning curve on that caused us to stick with SAS. In my current position, I've opted for WPS over SAS. I can still leverage my SAS experience, but the price is about 15% of what SAS charges, with extra functionality, such as direct database access. I can supplement WPS with free software, such R for anything that it might be missing.

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It all depends on the type of SAS product the user has. Scaleability differs from product to product, and if the user has SAS Office Analytics the scaleability is quite robust. This software will satisfy the majority of the company's analytic needs for years to come. In addition, if SAS is not meeting the users needs the company can easily find SAS solutions that will.

• 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.

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• SAS is pretty expensive, so a company would need to take that into consideration before purchasing a license.
• A lot of companies are now starting to use SAS Advance Analytics, it is great for sharing data between departments.
• Presentations come out better when using SAS, and estimates are more precise to the confidence interval.

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