SAS Viya vs. Spotfire Data Science

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
SAS Viya
Score 6.9 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
Spotfire Data Science
Score 8.7 out of 10
N/A
Spotfire Data Science (formerly TIBCO Data Science) is a comprehensive platform for operationalizing data science, allowing users to scale data science across an organization to solve complex challenges faster and speed innovation. It is designed to enable data scientists to create innovative solutions using the latest machine learning techniques and open source developments. Create ML pipelines using a point-and-click UI or code. Orchestrate analytics using the tools, languages, and any…N/A
Pricing
SAS ViyaSpotfire Data Science
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
SAS ViyaSpotfire Data Science
Free Trial
YesYes
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Features
SAS ViyaSpotfire Data Science
Platform Connectivity
Comparison of Platform Connectivity features of Product A and Product B
SAS Viya
-
Ratings
Spotfire Data Science
9.1
3 Ratings
7% above category average
Connect to Multiple Data Sources00 Ratings9.13 Ratings
Extend Existing Data Sources00 Ratings9.13 Ratings
Automatic Data Format Detection00 Ratings9.13 Ratings
MDM Integration00 Ratings9.13 Ratings
Data Exploration
Comparison of Data Exploration features of Product A and Product B
SAS Viya
-
Ratings
Spotfire Data Science
9.1
3 Ratings
7% above category average
Visualization00 Ratings9.13 Ratings
Interactive Data Analysis00 Ratings9.13 Ratings
Data Preparation
Comparison of Data Preparation features of Product A and Product B
SAS Viya
-
Ratings
Spotfire Data Science
9.1
3 Ratings
10% above category average
Interactive Data Cleaning and Enrichment00 Ratings9.13 Ratings
Data Transformations00 Ratings9.13 Ratings
Data Encryption00 Ratings9.02 Ratings
Built-in Processors00 Ratings9.13 Ratings
Platform Data Modeling
Comparison of Platform Data Modeling features of Product A and Product B
SAS Viya
-
Ratings
Spotfire Data Science
9.1
3 Ratings
7% above category average
Multiple Model Development Languages and Tools00 Ratings9.13 Ratings
Automated Machine Learning00 Ratings9.13 Ratings
Single platform for multiple model development00 Ratings9.13 Ratings
Self-Service Model Delivery00 Ratings9.13 Ratings
Model Deployment
Comparison of Model Deployment features of Product A and Product B
SAS Viya
-
Ratings
Spotfire Data Science
9.1
3 Ratings
6% above category average
Flexible Model Publishing Options00 Ratings9.13 Ratings
Security, Governance, and Cost Controls00 Ratings9.13 Ratings
Best Alternatives
SAS ViyaSpotfire Data Science
Small Businesses
IBM SPSS Modeler
IBM SPSS Modeler
Score 7.8 out of 10
IBM SPSS Modeler
IBM SPSS Modeler
Score 7.8 out of 10
Medium-sized Companies
Posit
Posit
Score 9.2 out of 10
Mathematica
Mathematica
Score 8.2 out of 10
Enterprises
IBM SPSS Modeler
IBM SPSS Modeler
Score 7.8 out of 10
IBM SPSS Modeler
IBM SPSS Modeler
Score 7.8 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
SAS ViyaSpotfire Data Science
Likelihood to Recommend
8.0
(11 ratings)
9.0
(15 ratings)
Likelihood to Renew
4.5
(5 ratings)
6.4
(1 ratings)
Usability
6.1
(2 ratings)
-
(0 ratings)
Availability
10.0
(1 ratings)
-
(0 ratings)
Performance
9.0
(1 ratings)
-
(0 ratings)
Support Rating
10.0
(3 ratings)
-
(0 ratings)
In-Person Training
9.0
(1 ratings)
-
(0 ratings)
Online Training
8.0
(1 ratings)
-
(0 ratings)
Implementation Rating
9.0
(1 ratings)
-
(0 ratings)
Configurability
10.0
(1 ratings)
-
(0 ratings)
Ease of integration
8.0
(1 ratings)
-
(0 ratings)
Product Scalability
9.0
(1 ratings)
-
(0 ratings)
Vendor post-sale
10.0
(1 ratings)
-
(0 ratings)
Vendor pre-sale
10.0
(1 ratings)
-
(0 ratings)
User Testimonials
SAS ViyaSpotfire Data Science
Likelihood to Recommend
SAS
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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Spotfire
It's well suited for companies who are working long-distance and who have lots of data to organize and present. My company does extensive field work collecting thousands of data points at a time, in many cases, so this is an excellent way to share data collected in the field with those still in the office so that reports can begin before our travels are really finished. It makes the office much more productive! Spotfire Data Science is less suited for companies with older employees or companies that are generally in one office and not doing distance work. It can be a little tricky for older people to grasp the interface and really utilize the program to its full potential so of course spending more time learning the software than using it effectively isn't a great use of time or money.
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Pros
SAS
  • 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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Spotfire
  • The interface is screen based and much easier for teams of non-experts to use. Can, however, directly utilize in scripts and/or programming languages, so best of both worlds.
  • Has an extensive range of statistical methods, as well as extensive statistics around those methods.
  • The interface consistent across all modules.
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Cons
SAS
  • 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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Spotfire
  • Although the graphics can be copied into Word or Excel, the copying and pasting process is buggy. Sometimes I basically have to do a Capture Rectangle of a graphic and paste it as a jpg, rather than having an embedded and editable graphic in my Word document.
  • The dialog boxes for some of the common tests, like multiple regression and ANOVA, use quirky terminology that is not intuitive to new users coming out of grad school with a more updated education. I have been using it for over ten years, and the dialogs have not updated in all of that time.
  • The tests like NMDS and PCA are clunky and difficult to use and get the appropriate outputs, especially compared to specialized software like PRIMER.
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Likelihood to Renew
SAS
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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Spotfire
The company is hesitant to spend this much on software. They are primarily an engineering firm, and they don't understand the use of analytical software for environmental professionals.
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Usability
SAS
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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Spotfire
No answers on this topic
Reliability and Availability
SAS
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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Spotfire
No answers on this topic
Performance
SAS
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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Spotfire
No answers on this topic
Support Rating
SAS
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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Spotfire
No answers on this topic
In-Person Training
SAS
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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Spotfire
No answers on this topic
Online Training
SAS
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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Spotfire
No answers on this topic
Implementation Rating
SAS
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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Spotfire
No answers on this topic
Alternatives Considered
SAS
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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Spotfire
I prefer Spotfire Data Science's approach. It is more natural and fits the way I think. I prefer to use Spotfire Data Science's VB for writing macros. It is real code, meaning that I do not need to trick the software to do what I need and there are no implied loops over solving simple problems. The graphs are publication quality and can be edited by hand or using a macro if I am building hundreds of them. Spotfire Data Science had a user-friendly approach to building lengthy data processing streams (in its workspaces). It is just so fast for analyzing a dataset that you have never seen before and efficient for ongoing work on the same data.
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Scalability
SAS
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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Spotfire
No answers on this topic
Return on Investment
SAS
  • 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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Spotfire
  • Our company has had the program for less than 1 year. We don't expected a positive return this year. The goal is for Data Science to led to defined projects by the end of the end of the year and implementation in the following two. Overall, we are planning on 4 years to fully recoup the cost of the software and the cost of implementing identified projects.
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ScreenShots

Spotfire Data Science Screenshots

Screenshot of Reusable Workspace TemplateScreenshot of AutoML - Create Editable Workflows for Feature Selection/Generation, Model Creation/Selection, Hyperparameter TuingScreenshot of Interactive DashboardScreenshot of Orchestrate Analytics across Amazon, Google, and Microsoft