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IBM Watson Discovery vs. IBM Watson Studio on Cloud Pak for Data

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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    IBM Watson Discovery

    Score9 out of 10
    N/AIBM offers Watson Discovery, a natural language processing (NLP) application with options to measure sentiment, detect entities, semantic roles, and other concepts.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
    Pricing
    IBM Watson DiscoveryIBM Watson Studio
    Editions & Modules
    No answers on this topic
    No answers on this topic
    Offerings
    Pricing Offerings
    IBM Watson DiscoveryIBM Watson Studio
    Free Trial
    YesNo
    Free/Freemium Version
    NoNo
    Premium Consulting/Integration Services
    YesNo
    Entry-level Setup FeeNo setup feeNo setup fee
    Additional Details——
    More Pricing Information
    Community Pulse
    IBM Watson DiscoveryIBM Watson Studio
    Considered Both Products
    IBM
    No answer on this topic
    IBM
    No answer on this topic
    Key User Insights
    Would buy again
    81%
    Would buy again
    21 Answers
    100%
    Would buy again
    5 Answers
    Delivers good value for the price
    74%
    Delivers good value for the price
    14 Answers
    No answers on this topic
    Happy with the feature set
    100%
    Happy with the feature set
    26 Answers
    100%
    Happy with the feature set
    5 Answers
    Lived up to sales and marketing promises
    100%
    Lived up to sales and marketing promises
    18 Answers
    No answers on this topic
    Implementation went as expected
    100%
    Implementation went as expected
    23 Answers
    No answers on this topic
    Features
    IBM Watson DiscoveryIBM Watson Studio
    Platform Connectivity
    Comparison of Platform Connectivity features of IBM Watson Discovery and IBM Watson Studio on Cloud Pak for Data
    Feature
    IBM Watson Discovery
    -
    Ratings
    IBM Watson Studio on Cloud Pak for Data
    8.1
    22 Ratings
    3% below category average
    Connect to Multiple Data Sources00 Ratings8.022 Ratings
    Extend Existing Data Sources00 Ratings8.022 Ratings
    Automatic Data Format Detection00 Ratings10.021 Ratings
    MDM Integration00 Ratings6.414 Ratings
    Data Exploration
    Comparison of Data Exploration features of IBM Watson Discovery and IBM Watson Studio on Cloud Pak for Data
    Feature
    IBM Watson Discovery
    -
    Ratings
    IBM Watson Studio on Cloud Pak for Data
    10.0
    22 Ratings
    18% above category average
    Visualization00 Ratings10.022 Ratings
    Interactive Data Analysis00 Ratings10.022 Ratings
    Data Preparation
    Comparison of Data Preparation features of IBM Watson Discovery and IBM Watson Studio on Cloud Pak for Data
    Feature
    IBM Watson Discovery
    -
    Ratings
    IBM Watson Studio on Cloud Pak for Data
    9.5
    22 Ratings
    15% above category average
    Interactive Data Cleaning and Enrichment00 Ratings10.022 Ratings
    Data Transformations00 Ratings10.021 Ratings
    Data Encryption00 Ratings8.020 Ratings
    Built-in Processors00 Ratings10.021 Ratings
    Platform Data Modeling
    Comparison of Platform Data Modeling features of IBM Watson Discovery and IBM Watson Studio on Cloud Pak for Data
    Feature
    IBM Watson Discovery
    -
    Ratings
    IBM Watson Studio on Cloud Pak for Data
    9.5
    22 Ratings
    12% above category average
    Multiple Model Development Languages and Tools00 Ratings10.021 Ratings
    Automated Machine Learning00 Ratings10.022 Ratings
    Single platform for multiple model development00 Ratings10.022 Ratings
    Self-Service Model Delivery00 Ratings8.020 Ratings
    Model Deployment
    Comparison of Model Deployment features of IBM Watson Discovery and IBM Watson Studio on Cloud Pak for Data
    Feature
    IBM Watson Discovery
    -
    Ratings
    IBM Watson Studio on Cloud Pak for Data
    8.0
    22 Ratings
    7% below category average
    Flexible Model Publishing Options00 Ratings9.022 Ratings
    Security, Governance, and Cost Controls00 Ratings7.022 Ratings
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    IBM Watson DiscoveryIBM Watson Studio
    Small Businesses
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    Score8.9 out of 10
    Medium-sized Companies
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    Score8.8 out of 10
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    Posit
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    User Ratings
    IBM Watson DiscoveryIBM Watson Studio
    Likelihood to Recommend
    8.3
    (26 ratings)
    8.0
    (65 ratings)
    Likelihood to Renew
    9.1
    (2 ratings)
    8.2
    (1 ratings)
    Usability
    4.8
    (3 ratings)
    9.6
    (2 ratings)
    Availability
    -
    (0 ratings)
    8.2
    (1 ratings)
    Performance
    -
    (0 ratings)
    8.2
    (1 ratings)
    Support Rating
    10.0
    (2 ratings)
    8.2
    (1 ratings)
    In-Person Training
    -
    (0 ratings)
    8.2
    (1 ratings)
    Online Training
    -
    (0 ratings)
    8.2
    (1 ratings)
    Implementation Rating
    -
    (0 ratings)
    7.3
    (1 ratings)
    Product Scalability
    -
    (0 ratings)
    8.2
    (1 ratings)
    Vendor post-sale
    -
    (0 ratings)
    7.3
    (1 ratings)
    Vendor pre-sale
    -
    (0 ratings)
    8.2
    (1 ratings)
    User Testimonials
    IBM Watson DiscoveryIBM Watson Studio
    Likelihood to Recommend
    IBM
    Overall, IBM Watson Discovery is an amazing technology that we use with our clients to address various business problems, but the biggest challenge has always been about ingesting, analyzing, enriching, and searching huge collections of documents and allowing our end users and SMEs to be able to search for what they need to reduce the time and efforts spent daily on a manual search through various collections of documents. We have successfully managed to reduce manual work by over 80%, and now our SMEs are being used for the skills they have to gather insights rather than do manual work.
    Incentivized
    Read full review
    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
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    Pros
    IBM
    • It is an excellently fast platform with documents and the answers to queries.
    • With automation learning beneficial as it saves time.
    • When searching for a document, everything stays located and easy to find.
    • Acceptance of various documents.
    • It has a quite comfortable Technical support, always available when required.
    Incentivized
    Read full review
    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
    Cons
    IBM
    • I believe AI should be more flexible about providing data. However, it's understandable that you need to provide the details you need in a more specific and detailed way.
    • The interface could use more tweaking. Being new to the program, it was kind of hard to navigate.
    • Luckily, there was a customized feature of the dashboard that I could set up, and having something that you know where you are placed always feels familiar and comfortable.
    Incentivized
    Read full review
    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
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    Likelihood to Renew
    IBM
    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
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    Usability
    IBM
    IBM Watson Discovery has the best user capabilities and easily transform business decision-making portfolio. The automation system saves time used in data analysis as opposed to manual research that consumes a lot of time. The visualization across the dashboard enables my team to interpret complex data and use it to make reliable marketing decisions.
    Incentivized
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    IBM
    The UI flawlessly merges this offering by providing a neat, minimal, responsive interface
    Incentivized
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    Reliability and Availability
    IBM
    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
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    Performance
    IBM
    No answers on this topic
    IBM
    Never had slow response even on our very busy network
    Incentivized
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    Support Rating
    IBM
    Similar to all IBM Watson and Salesforce product solutions, the overall support would be a 10/10. Their provided FAQ's help with frequently experienced issues and if still unable to figure something out, their customer service representatives are always super responsive. With instant chat functions available, it is easy to ask a quick question rather than sitting on hold.
    Incentivized
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    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
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    In-Person Training
    IBM
    No answers on this topic
    IBM
    The trainers on the job are very smart with solutions and very able in teaching
    Incentivized
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    Online Training
    IBM
    No answers on this topic
    IBM
    The Platform is very handy and suggests further steps according my previous interests
    Incentivized
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    Implementation Rating
    IBM
    No answers on this topic
    IBM
    It surprised us with unpredictable case of use and brand new points of view
    Incentivized
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    Alternatives Considered
    IBM
    Discovery differs from its competitors due to the better ease of implementation and the high level of natural language recognition, it is equal in integration resources such as API and workflow or process pipeline, but it loses in the price for a high volume of documents and/or research. If you own or plan to use other services from the IBM Watson family, there is no doubt that Watson discovery is your best option. Another important point is if you plan to use a cloud or on-premise service (local server or private cloud).
    Incentivized
    Read full review
    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
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    Scalability
    IBM
    No answers on this topic
    IBM
    It helped us in getting from 0 to DSX without getting lost
    Incentivized
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    Return on Investment
    IBM
    • We find its Enterprise plan expensive for a country of LATAM. For US or Europe based businesses, looks great.
    • A Big Data and massive queries based company would find the service expensive. Maybe a flat price plan would be helpful.
    • Have you thought in making a cheaper plan where you take the learning from your customer's data to enrich your AI tool?
    Incentivized
    Read full review
    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
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    ScreenShots