AppSheet vs. SAS Viya

If you need to manage special assets with unique characteristics and keep data in spreadsheets, Appsheet is ideal for replacing these sheets with a system. Once you start using it, you find yourself trying to move everything into Appsheet. It is perfect for generating internal software that would otherwise never be developed due to programming costs.

Incentivized

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.

Incentivized

• Calculations - I have several apps that do some pretty complicated calculations, and decision making to build things like Shopping Lists for a Kanban assembly team, where the app will help a stocker determine whats low in a kanban assembly line stock box.
• Document generation and record keeping - I have an app that users digitally sign and receive PDF contracts, and the system automatically records all records from the transaction. Everything is held in files on YOUR OWN DRIVE (Google Drive) so when you're done with the project or AppSheet you DONT loose your data.
• Client/Customer Management - I follow the old school "Swimming with Sharks" model for client retention and customer engagement, and have built several small customer tracking tools for local businesses. This tool is limited ONLY by your imagine and desire to learn.

Incentivized

• 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.

Incentivized

• Once the tables / UX Views get way too many in number, it can become a little daunting to manage. This part of the UX may need something really smarter.
• Ability to Undo.
• Could provide more UI Look and Feel options. BTW, the new Graphs look great, but have some bugs, while the new INPUT() feature is a great addition too.

• 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.

Incentivized

We are still less than 10 users and probably may continue to be so. But, this being a franchisor set up, could be of use to other users like us.

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.

It's just great. The usability is the best thing about Appsheet. You must choose which things will really be used later. You have to be careful of not generating something too big and then it feels like something that need to be learned. This is something that resolve problems, but you had to be able to think before doing. It will not solve problems itself. You need to find the problem, think a solution, and then use appsheet to make this solution a reality

Incentivized

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.

AppSsheet has a support group and they show videos to help app builders. Though I have truck drivers' hours and can't join the webinars. Support groups with better assists me on a Saturday evening or a Sunday that I have time off. It's hard to watch videos driving down the highway.

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.

Incentivized

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.

I did everything on my own

Incentivized

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.

The ease that AppSheet provides to the developer is limitless. Before starting with AppSheet I used other software, but they didn't give me the tools at my fingertips.
When I learned about AppSheet and everything it could do, I understood that it was what I was looking for, the ease with which everything is related within the app with a few clicks is impressive.

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.

Incentivized

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.

• A good impact in general at the beginning since the free version allows great development so the investment in the implementation is of knowledge and time.
• As a consultant I have expanded my services through this platform including new low code application building services.

• 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.

Incentivized