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Figure Eight Platform vs. IBM Watson Studio on Cloud Pak for Data vs. SAS Viya

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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    Figure Eight Platform

    N/AN/AFigure Eight headquartered in San Francisco offers their "human-in-the-loop" machine learning platform supporting audio and natural language processing and analysis, image and computer vision, data enrichment and search relevance, and other ML research projects.N/A

    IBM Watson Studio

    Score10 out of 10
    N/AIBM Watson Studio enables users to build, run and manage AI models, and optimize decisions at scale across any cloud. IBM Watson Studio enables users can operationalize AI anywhere as part of IBM Cloud Pak® for Data, the IBM data and AI platform. The vendor states the solution simplifies AI lifecycle management and accelerates time to value with an open, flexible multicloud architecture.N/A

    SAS Viya

    Score10 out of 10
    N/AAn end-to-end platform for AI, data science, and analytics, used for modeling, as well as management and deployment of AI models.N/A
    Pricing
    Figure Eight PlatformIBM Watson StudioSAS Viya
    Editions & Modules
    No answers on this topic
    No answers on this topic
    No answers on this topic
    Offerings
    Pricing Offerings
    Figure Eight PlatformIBM Watson StudioSAS Viya
    Free Trial
    NoNoYes
    Free/Freemium Version
    NoNoNo
    Premium Consulting/Integration Services
    NoNoNo
    Entry-level Setup FeeNo setup feeNo setup feeNo setup fee
    Additional Details
    More Pricing Information
    Community Pulse
    Figure Eight PlatformIBM Watson StudioSAS Viya
    Considered Multiple Products
    Figure Eight
    No answer on this topic
    IBM
    Chose IBM Watson Studio
    The learning curve for DSX is smaller compared to other tools. The data science user base often has preferred tools that they have used previously which are often not DSX which makes adoption of DSX by trained data scientists harder than new users.
    Incentivized
    Chose IBM Watson Studio
    The IBM Data Science Experience enables data scientists to collaborate through projects, to which they can add notebooks, data, data connections, and other users they want to collaborate with. In Jupyter notebooks they can use Python, R, or Scala, when needed with Apache Spark, …
    Incentivized
    SAS
    No answer on this topic
    Key User Insights
    Would buy again
    No answers on this topic
    100%
    Would buy again
    5 Answers
    No answers on this topic
    Delivers good value for the price
    No answers on this topic
    No answers on this topic
    No answers on this topic
    Happy with the feature set
    No answers on this topic
    100%
    Happy with the feature set
    5 Answers
    No answers on this topic
    Lived up to sales and marketing promises
    No answers on this topic
    No answers on this topic
    No answers on this topic
    Implementation went as expected
    No answers on this topic
    No answers on this topic
    No answers on this topic
    Features
    Figure Eight PlatformIBM Watson StudioSAS Viya
    Platform Connectivity
    Comparison of Platform Connectivity features of Figure Eight Platform and IBM Watson Studio on Cloud Pak for Data and SAS Viya
    Feature
    Figure Eight Platform
    -
    Ratings
    IBM Watson Studio on Cloud Pak for Data
    8.1
    22 Ratings
    3% below category average
    SAS Viya
    -
    Ratings
    Connect to Multiple Data Sources00 Ratings8.022 Ratings00 Ratings
    Extend Existing Data Sources00 Ratings8.022 Ratings00 Ratings
    Automatic Data Format Detection00 Ratings10.021 Ratings00 Ratings
    MDM Integration00 Ratings6.414 Ratings00 Ratings
    Data Exploration
    Comparison of Data Exploration features of Figure Eight Platform and IBM Watson Studio on Cloud Pak for Data and SAS Viya
    Feature
    Figure Eight Platform
    -
    Ratings
    IBM Watson Studio on Cloud Pak for Data
    10.0
    22 Ratings
    17% above category average
    SAS Viya
    -
    Ratings
    Visualization00 Ratings10.022 Ratings00 Ratings
    Interactive Data Analysis00 Ratings10.022 Ratings00 Ratings
    Data Preparation
    Comparison of Data Preparation features of Figure Eight Platform and IBM Watson Studio on Cloud Pak for Data and SAS Viya
    Feature
    Figure Eight Platform
    -
    Ratings
    IBM Watson Studio on Cloud Pak for Data
    9.5
    22 Ratings
    14% above category average
    SAS Viya
    -
    Ratings
    Interactive Data Cleaning and Enrichment00 Ratings10.022 Ratings00 Ratings
    Data Transformations00 Ratings10.021 Ratings00 Ratings
    Data Encryption00 Ratings8.020 Ratings00 Ratings
    Built-in Processors00 Ratings10.021 Ratings00 Ratings
    Platform Data Modeling
    Comparison of Platform Data Modeling features of Figure Eight Platform and IBM Watson Studio on Cloud Pak for Data and SAS Viya
    Feature
    Figure Eight Platform
    -
    Ratings
    IBM Watson Studio on Cloud Pak for Data
    9.5
    22 Ratings
    12% above category average
    SAS Viya
    -
    Ratings
    Multiple Model Development Languages and Tools00 Ratings10.021 Ratings00 Ratings
    Automated Machine Learning00 Ratings10.022 Ratings00 Ratings
    Single platform for multiple model development00 Ratings10.022 Ratings00 Ratings
    Self-Service Model Delivery00 Ratings8.020 Ratings00 Ratings
    Model Deployment
    Comparison of Model Deployment features of Figure Eight Platform and IBM Watson Studio on Cloud Pak for Data and SAS Viya
    Feature
    Figure Eight Platform
    -
    Ratings
    IBM Watson Studio on Cloud Pak for Data
    8.0
    22 Ratings
    6% below category average
    SAS Viya
    -
    Ratings
    Flexible Model Publishing Options00 Ratings9.022 Ratings00 Ratings
    Security, Governance, and Cost Controls00 Ratings7.022 Ratings00 Ratings
    Best Alternatives
    Figure Eight PlatformIBM Watson StudioSAS Viya
    Small Businesses
    TensorFlow
    Score7.6 out of 10
    RapidMiner
    Score8.9 out of 10
    IBM SPSS Statistics
    Score8 out of 10
    Medium-sized Companies
    Google Cloud AI
    Score8.7 out of 10
    Anaconda
    Score8.8 out of 10
    Alteryx Platform
    Score9 out of 10
    Enterprises
    Google Cloud AI
    Score8.7 out of 10
    Posit
    Score10 out of 10
    Alteryx Platform
    Score9 out of 10
    All AlternativesView all alternativesView all alternativesView all alternatives
    User Ratings
    Figure Eight PlatformIBM Watson StudioSAS Viya
    Likelihood to Recommend
    -
    (0 ratings)
    8.0
    (65 ratings)
    9.1
    (12 ratings)
    Likelihood to Renew
    -
    (0 ratings)
    8.2
    (1 ratings)
    4.5
    (5 ratings)
    Usability
    -
    (0 ratings)
    9.6
    (2 ratings)
    8.2
    (3 ratings)
    Availability
    -
    (0 ratings)
    8.2
    (1 ratings)
    10.0
    (1 ratings)
    Performance
    -
    (0 ratings)
    8.2
    (1 ratings)
    9.0
    (1 ratings)
    Support Rating
    -
    (0 ratings)
    8.2
    (1 ratings)
    10.0
    (3 ratings)
    In-Person Training
    -
    (0 ratings)
    8.2
    (1 ratings)
    9.0
    (1 ratings)
    Online Training
    -
    (0 ratings)
    8.2
    (1 ratings)
    8.0
    (1 ratings)
    Implementation Rating
    -
    (0 ratings)
    7.3
    (1 ratings)
    9.0
    (1 ratings)
    Configurability
    -
    (0 ratings)
    -
    (0 ratings)
    10.0
    (1 ratings)
    Ease of integration
    -
    (0 ratings)
    -
    (0 ratings)
    8.0
    (1 ratings)
    Product Scalability
    -
    (0 ratings)
    8.2
    (1 ratings)
    9.0
    (1 ratings)
    Vendor post-sale
    -
    (0 ratings)
    7.3
    (1 ratings)
    10.0
    (1 ratings)
    Vendor pre-sale
    -
    (0 ratings)
    8.2
    (1 ratings)
    10.0
    (1 ratings)
    User Testimonials
    Figure Eight PlatformIBM Watson StudioSAS Viya
    Likelihood to Recommend
    Figure Eight
    No answers on this topic
    IBM
    It has a lot of features that are good for teams working on large-scale projects and continuously developing and reiterating their data project models. Really helpful when dealing with large data. It is a kind of one-stop solution for all data science tasks like visualization, cleaning, analyzing data, and developing models but small teams might find a lot of features unuseful.
    Incentivized
    Read full review
    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.
    Incentivized
    Read full review
    Pros
    Figure Eight
    No answers on this topic
    IBM
    • Integration of IBM Watson APIs such as speech to text, image recognition, personality insights, etc.
    • SPSS modeler and neural network model provide no-code environments for data scientists to build pipelines quickly.
    • Enforced best-practices set up POCs for deployment in production with a minimum of re-work.
    • Estimator validation lets data scientists test and prove different models.
    Incentivized
    Read full review
    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.
    Incentivized
    Read full review
    Cons
    Figure Eight
    No answers on this topic
    IBM
    • The cost is steep and so only companies with resources can afford it
    • It will be nice to have Chinese versions so that Chinese engineers can also use it easily
    • It takes a while to learn how to input different kinds of skin defects for detection
    Incentivized
    Read full review
    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.
    Incentivized
    Read full review
    Likelihood to Renew
    Figure Eight
    No answers on this topic
    IBM
    because we find out that DSX results have improved our approach to the whole subject (data, models, procedures)
    Incentivized
    Read full review
    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.
    Read full review
    Usability
    Figure Eight
    No answers on this topic
    IBM
    The UI flawlessly merges this offering by providing a neat, minimal, responsive interface
    Incentivized
    Read full review
    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.
    Read full review
    Reliability and Availability
    Figure Eight
    No answers on this topic
    IBM
    From time to time there are services unavailable, but we have been always informed before and they got back to work sooner than expected
    Incentivized
    Read full review
    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.
    Read full review
    Performance
    Figure Eight
    No answers on this topic
    IBM
    Never had slow response even on our very busy network
    Incentivized
    Read full review
    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.
    Read full review
    Support Rating
    Figure Eight
    No answers on this topic
    IBM
    I received answers mostly at once and got answered even further my question: they gave me interesting points of view and suggestion for deepening in the learning path
    Incentivized
    Read full review
    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.
    Incentivized
    Read full review
    In-Person Training
    Figure Eight
    No answers on this topic
    IBM
    The trainers on the job are very smart with solutions and very able in teaching
    Incentivized
    Read full review
    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.
    Read full review
    Online Training
    Figure Eight
    No answers on this topic
    IBM
    The Platform is very handy and suggests further steps according my previous interests
    Incentivized
    Read full review
    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.
    Read full review
    Implementation Rating
    Figure Eight
    No answers on this topic
    IBM
    It surprised us with unpredictable case of use and brand new points of view
    Incentivized
    Read full review
    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.
    Read full review
    Alternatives Considered
    Figure Eight
    No answers on this topic
    IBM
    The main reason I personally changed over from Azure ML Studio is because it lacked any support for significant custom modelling with packages and services such as TensorFlow, scikit-learn, Microsoft Cognitive Toolkit and Spark ML. IBM Watson Studio provides these services and does so in a well integrated and easy to use fashion making it a preferable service over the other services that I have personally used.
    Incentivized
    Read full review
    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.
    Incentivized
    Read full review
    Scalability
    Figure Eight
    No answers on this topic
    IBM
    It helped us in getting from 0 to DSX without getting lost
    Incentivized
    Read full review
    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.
    Read full review
    Return on Investment
    Figure Eight
    No answers on this topic
    IBM
    • Could instantly show data driven insights to drive 20% incremental revenue over existing results
    • Still don't have a real use case for unstructured data like twitter feed
    • Some of the insights around user actions have driven new projects to automate mundane tasks
    Incentivized
    Read full review
    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.
    Incentivized
    Read full review
    ScreenShots