SAS Viya vs. Spotfire

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
SAS Viya
Score 6.8 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
Score 8.1 out of 10
N/A
Spotfire, formerly known as TIBCO Spotfire, is a visual data science platform that combines visual analytics, data science, and data wrangling, so users can analyze data at-rest and at-scale to solve complex industry-specific problems.N/A
Pricing
SAS ViyaSpotfire
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
SAS ViyaSpotfire
Free Trial
YesYes
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional DetailsFor Enterprise engagements, contact Spotfire directly for a custom price quote.
More Pricing Information
Community Pulse
SAS ViyaSpotfire
Features
SAS ViyaSpotfire
Platform Connectivity
Comparison of Platform Connectivity features of Product A and Product B
SAS Viya
-
Ratings
Spotfire
7.2
Ratings
15% below category average
Connect to Multiple Data Sources00 Ratings7.80 Ratings
Extend Existing Data Sources00 Ratings7.40 Ratings
Automatic Data Format Detection00 Ratings7.80 Ratings
MDM Integration00 Ratings6.00 Ratings
Data Exploration
Comparison of Data Exploration features of Product A and Product B
SAS Viya
-
Ratings
Spotfire
9.1
Ratings
8% above category average
Visualization00 Ratings9.00 Ratings
Interactive Data Analysis00 Ratings9.20 Ratings
Data Preparation
Comparison of Data Preparation features of Product A and Product B
SAS Viya
-
Ratings
Spotfire
7.4
Ratings
10% below category average
Interactive Data Cleaning and Enrichment00 Ratings7.20 Ratings
Data Transformations00 Ratings8.00 Ratings
Data Encryption00 Ratings7.00 Ratings
Built-in Processors00 Ratings7.50 Ratings
Platform Data Modeling
Comparison of Platform Data Modeling features of Product A and Product B
SAS Viya
-
Ratings
Spotfire
7.6
Ratings
10% below category average
Multiple Model Development Languages and Tools00 Ratings7.50 Ratings
Automated Machine Learning00 Ratings8.50 Ratings
Single platform for multiple model development00 Ratings7.60 Ratings
Self-Service Model Delivery00 Ratings6.70 Ratings
Model Deployment
Comparison of Model Deployment features of Product A and Product B
SAS Viya
-
Ratings
Spotfire
7.4
Ratings
14% below category average
Flexible Model Publishing Options00 Ratings7.80 Ratings
Security, Governance, and Cost Controls00 Ratings7.00 Ratings
Best Alternatives
SAS ViyaSpotfire
Small Businesses
IBM SPSS Statistics
IBM SPSS Statistics
Score 7.8 out of 10
Jupyter Notebook
Jupyter Notebook
Score 9.4 out of 10
Medium-sized Companies
Alteryx Platform
Alteryx Platform
Score 8.9 out of 10
Posit
Posit
Score 10.0 out of 10
Enterprises
Dataiku
Dataiku
Score 7.6 out of 10
Posit
Posit
Score 10.0 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
SAS ViyaSpotfire
Likelihood to Recommend
8.0
(0 ratings)
8.4
(0 ratings)
Likelihood to Renew
4.5
(0 ratings)
9.6
(0 ratings)
Usability
6.1
(0 ratings)
8.0
(0 ratings)
Availability
10.0
(0 ratings)
9.0
(0 ratings)
Performance
9.0
(0 ratings)
7.1
(0 ratings)
Support Rating
10.0
(0 ratings)
8.7
(0 ratings)
In-Person Training
9.0
(0 ratings)
8.3
(0 ratings)
Online Training
8.0
(0 ratings)
9.0
(0 ratings)
Implementation Rating
9.0
(0 ratings)
8.4
(0 ratings)
Configurability
10.0
(0 ratings)
7.1
(0 ratings)
Ease of integration
8.0
(0 ratings)
7.0
(0 ratings)
Product Scalability
9.0
(0 ratings)
7.0
(0 ratings)
Vendor post-sale
10.0
(0 ratings)
5.0
(0 ratings)
Vendor pre-sale
10.0
(0 ratings)
5.0
(0 ratings)
User Testimonials
SAS ViyaSpotfire
Likelihood to Recommend
We piloted SAS AA at my organization to see how well it compares with other free software tools such as RStudio and Anaconda. So far what we saw was very impressive especially with the visual display but was a little out of our price range. It would be useful in analyzing population health metrics combined with financial data.
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Spotfire was used to look at a large data set of an in process manufacturing step. The data visualization was set up to look at yield as a function of several inputs (chemical / equipment / operator). After only a short analysis it was immediately obvious that there was a 5% yield discrepancy based on the operator using the equipment. The operators were retrained and the yield gap was eliminated.
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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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  • It has the best coding integration (python, R) of any BI product
  • The ability to work with very large datasets (10 mil+) is better than competitors
  • Export options are more complete and have better functionality
  • The data canvas is the best tool to join and transform data vs. competitors
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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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  • They should have a lower price point for users to access the analyst version who don't require advanced capabilities. For example, a lower price if users just need to do some basic slicing and dicing with their data and not have to the data science functionality (ie. K-means clustering, regression modeling, classification modeling, etc.).
  • Currently, you can't change the font type/color on the axis, which I'm sure will eventually be available in the future as they have a Spotfire Ideas portal that they're fairly responsive to and act on. I guess at the end of the day, it's about the data and what insights you get from it.
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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's a very powerful tool that allows for a myriad of customizations within the analysis files themselves, particularly with the custom expression functionality. There have been some great strides with the quality of the visualization options (which were not great to begin with) and I hope to see more improvements made as the product gets updated.
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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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Basic tasks like generating meaningful information from large sets of raw data are very easy. The next step of linking to multiple live data sources and linking those tables and performing on the fly analysis of the imported data is understandably more difficult.
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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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Even though, it's a rather stable and predictable tool that's also fast, it does have some bugs and inconsistencies that shut down the system. Depending on the details, it could happen as often as 2-3 times a week, especially during the development period.
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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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Generally, the Spotfire client runs with very good performance. There are factors that could affect performance, but normally has to do with loading large analysis files from the library if the database is located some distance away and your global network is not optimal. Once you have your data table(s) loaded in the client application, usually the application is quite good performance-wise.
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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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Support has been helpful with issues. Support seems to know their product and its capabilities. It would also seem that they have a good sense of the context of the problem; where we are going with this issue and what we want the end outcome to be.
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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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The instructor was very in depth and provided relevant training to business users on how to create visualizations. They showed us how to alter settings and filter views, and provided resources for future questions. However, the instructor failed to cover data sources, connecting to data, etc. While it was helpful to see how users can use the data to create reports, they failed to properly instruct us on how to get the dataset in to begin with. We are still trying to figure out connections to certain databases (we have multiple different types).
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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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The online training is good, provides a good base of knowledge. The video demonstrations were well-done and easy to follow along. Provided exercises are good as well, but I think there could be more challenging exercises. The training has also gone up in price significantly in the last 3 years (in USD, which hurts us even more in Canada), and I'm not sure it is worth the money it now costs (it is worth how much it cost 3 years ago, but not double that.)
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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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The original architecture I created for our implementation had only a particular set of internal business units in mind. Over the years, Spotfire gained in popularity in our company and was being utilized across many more business units. Soon, its usage went beyond what the original architectural implementation could provide. We've since learned about how the product is used by the different teams and are currently in the middle of rolling out a new architecture. I suggest:
  • Have clearly defined service level agreements with all the teams that will use Spotfire. Your business intelligence group might only need availability during normal working hours, but your production support group might need 24/7 availability. If these groups share one Spotfire server, maintenance of that server might be a problem.
  • Know the different types of data you will be working with. One group might be working with "public" data while another group might work with sensitive data. Design your Library accordingly and with the proper permissions.
  • Know the roles of the users of Spotfire. Will there only be a small set of report writers or does everyone have write access to the Library?
  • ALWAYS add a timestamp prompt to your reports. You don't want multiple users opening a report that will try and pull down millions of rows of data to their local workstations. Another option, of course, is to just hard code a time range in the backing database view (i.e. where activity_date >= sysdate - 90, etc.), but I'd rather educate/train the user base if possible.
  • This probably goes without saying, but if possible, point to a separate reporting database or a logical standby database. You don't want the company pounding on your primaries and take down your order system.
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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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Spotfire is appropriate for every organization of any size because it can be a recipient of data for better decision-making. Being a robust development platform for creating reports and dashboards, creating a new Spotfire dashboard is relatively simple. Developers can create highly customized dashboards using the tools it provides. I will recommend this software to others
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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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In an enterprise architecture, if Spotfire Advanced Data services(Composite Studio),data marts can be managed optimally and scalability in a data perspective is great. As the web player/consumer is directly proportional to RAM, if the enterprise can handle RAM requirement accomodating fail over mechanisms appropraitely, it is definitely scalable,
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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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  • Spotfire really helped a lot of people in terms of analysis. It eliminates data analysis in excel. Because even underlying data you can explore it in Spotfire.
  • Spotfire helps data analysts to investigate data and also help analysts solve inconsistency of data.
  • Spotfire helps data analysts in building great dashboard that provide insights to users to make decisions to drive revenue and manage the churn.
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ScreenShots

Spotfire Screenshots

Screenshot of Smart Visual AnalyticsScreenshot of Geospatial AnalyticsScreenshot of Intelligent Data WranglingScreenshot of Point-and-click Data ScienceScreenshot of Real-time Streaming Analytics