SAS Viya vs. Tableau Prep

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
SAS Viya
Score 10.0 out of 10
N/A
An end-to-end platform for AI, data science, and analytics, used for modeling, as well as management and deployment of AI models.N/A
Tableau Prep
Score 6.8 out of 10
N/A
Tableau Prep enables users to get to the analysis phase faster by helping them quickly combine, shape, and clean their data. According to the vendor, a direct and visual experience helps provide users with a deeper understanding of their data, smart features make data preparation simple, and integration with the Tableau analytical workflow allows for faster speed to insight. Tableau Prep allows users to connect to data on-premises or in the cloud, whether it’s a database or a…
$15
per month billed annually per user
Pricing
SAS ViyaTableau Prep
Editions & Modules
No answers on this topic
Viewer
$15
per month billed annually per user
Explorer
$42
per month billed annually per user
Creator
$70
per month billed annually per user
Offerings
Pricing Offerings
SAS ViyaTableau Prep
Free Trial
YesNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
SAS ViyaTableau Prep
Considered Both Products
SAS Viya
Chose SAS Viya
SAS is just as good as these tools but is pricier. I like that it handles data visualization and modeling together in one platform that's a novel mechanism that is fairly rare. Also, it's forecasting capabilities are nicely integrated with the functionality overall which makes …
Chose SAS Viya
We had major use of SAS in forecasting where it doesn't require high level of coding knowledge and which has highly efficient models built in which can give good results on forecasts without lot of manual intervention. This tool was designed specifically for forecasting and …
Chose SAS Viya
SAS is faster then both SPSS and STATA. SAS also has better models and graphs when comparing the three softwares. However, STATA and SPSS are more user friendly. It is easy to use SPSS and STATA, because a lot of it is point-click. SAS requires some training to be able to use …
Chose SAS Viya
SAS has a much superior and comprehensive data preparation capability with a clear approach on how to handle and scale for a large amount of data and users. However, it can be more expensive to implement.
Chose SAS Viya
R is of course much cheaper (free) than SAS Analytics, and it can do everything SAS Analytics can do and more. It is a much more technical tool than SAS Analytics, which is why some people prefer SAS Analytics.
Chose SAS Viya
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 …
Chose SAS Viya
SAS allows the user a wider range of capabilities to cleanse and manipulate the data. Not only can the data be pulled directly into SAS, but before it is finalized it can be transposed, graphed, or altered in any way imaginable which puts it a step above the Business Objects …
Tableau Prep
Chose Tableau Prep
Tableau Prep is a good tool to use in tandem with Tableau. You can use Tableau by just plugging in an excel sheet or other form of dataset, but the tools that Tableau Prep has specifically makes the data set work better with Tableau. The extra time to optimize is worth it.
Chose Tableau Prep
Tableau Prep is covered in our license whereas Alteryx required additional fees and a separate license. Tableau Prep is similar to Tableau Desktop which a lot of our team is comfortable with so it wasn't difficult to get a feel for Tableau Prep. However, Alteryx would have been …
Chose Tableau Prep
Selected Tableau Prep because it came with out Tableau license.
Chose Tableau Prep
We use both Tableau Prep and Alteryx and, although Tableau Prep integrates better with Tableau desktop, I find that more often then not I open up Alteryx to do most of my data prep prior to bringing my data into analysis as it is just so much more robust. Not that this makes …
Chose Tableau Prep
Before Prep, we had to do all the data joining and connecting in a Tableau Workbook. Not only did this cause workbooks connected with live data to run frustratingly slowly, a new connection and set-up had to be established every time a new workbook as created, even if you were …
Best Alternatives
SAS ViyaTableau Prep
Small Businesses
IBM SPSS Statistics
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Score 8.0 out of 10
IBM SPSS Modeler
IBM SPSS Modeler
Score 9.5 out of 10
Medium-sized Companies
Alteryx Platform
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IBM InfoSphere Information Server
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User Ratings
SAS ViyaTableau Prep
Likelihood to Recommend
9.1
(0 ratings)
9.0
(0 ratings)
Likelihood to Renew
4.5
(0 ratings)
8.0
(0 ratings)
Usability
8.2
(0 ratings)
7.0
(0 ratings)
Availability
10.0
(0 ratings)
-
(0 ratings)
Performance
9.0
(0 ratings)
-
(0 ratings)
Support Rating
10.0
(0 ratings)
5.3
(0 ratings)
In-Person Training
9.0
(0 ratings)
-
(0 ratings)
Online Training
8.0
(0 ratings)
-
(0 ratings)
Implementation Rating
9.0
(0 ratings)
6.0
(0 ratings)
Configurability
10.0
(0 ratings)
-
(0 ratings)
Ease of integration
8.0
(0 ratings)
-
(0 ratings)
Product Scalability
9.0
(0 ratings)
-
(0 ratings)
Vendor post-sale
10.0
(0 ratings)
-
(0 ratings)
Vendor pre-sale
10.0
(0 ratings)
-
(0 ratings)
User Testimonials
SAS ViyaTableau Prep
Likelihood to Recommend
SAS Viya is well suited in doing visual presentations with automation to track real time data and also it has the AI, so it is trusted AI and makes it helpful, SAS Viya can do some change in interface so small screen does not make problem
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Tableau Prep is a very powerful tool when it comes to creating workflows to monitor each stage for data analysis and quality issues. Also, it is convenient to explore the data with the wealth of operators and checking work at each stage of the process. Also, some areas that would help is if there are more types of automation provided.
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Pros
  • 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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  • Display the raw data coming in from the data warehouse
  • Point out situations that might be erroneous
  • Show the distribution of raw data figures
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Cons
  • 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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  • Use of Macros within Workflow (and more types of automation)
  • Join Editor also giving a SQL Update Query
  • More types of visuals
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Likelihood to Renew
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.
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It is a valuable tool for generating and cleaning files for multiple purposes.
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Usability
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.
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It works well and is user friendly for the basics but needs more options for bring in data (using SQL queries for example) and export format options.
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Reliability and Availability
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.
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No answers on this topic
Performance
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.
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No answers on this topic
Support Rating
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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I have not really had to reach out for any kind of customer support for Tableau Prep, so I can't really say. However, the support that Tableau has given for their other products has been great, so I would assume it would be the same here. They are also constantly adding new features and providing software updates, and that is always a plus.
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In-Person Training
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.
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No answers on this topic
Online Training
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.
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No answers on this topic
Implementation Rating
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.
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Live connections to cloud services (Google Sheets for example) and cloud hosted databases (cloud hosted SIS for example) for scheduled flows are not supported
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Alternatives Considered
SAS is faster then both SPSS and STATA. SAS also has better models and graphs when comparing the three softwares. However, STATA and SPSS are more user friendly. It is easy to use SPSS and STATA, because a lot of it is point-click. SAS requires some training to be able to use it as effectively as possible. SAS is better with large data sets, and it is easier to analyze many data points at the same time
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Tableau Prep is covered in our license whereas Alteryx required additional fees and a separate license. Tableau Prep is similar to Tableau Desktop which a lot of our team is comfortable with so it wasn't difficult to get a feel for Tableau Prep. However, Alteryx would have been a totally new platform.
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Scalability
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.
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No answers on this topic
Return on Investment
  • 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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  • Quicker data sets for online reports
  • More efficient data cleaning Ad Hoc reports
  • Costly if using data management to schedule data pull and cleaning (priced per viewer accounts not creator accounts)
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ScreenShots