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IBM Watson Studio on Cloud Pak for Data vs. Posit

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IBM Watson Studio on Cloud Pak for Data

219 Reviews and Ratings

Posit

235 Reviews and Ratings

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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    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

    Posit

    Score10 out of 10
    		N/APosit, formerly RStudio, is a modular data science platform, combining open source and commercial products.N/A
    Pricing
    IBM Watson StudioPosit
    Editions & Modules
    No answers on this topic
    No answers on this topic
    Offerings
    Pricing Offerings
    IBM Watson StudioPosit
    Free Trial
    NoYes
    Free/Freemium Version
    NoYes
    Premium Consulting/Integration Services
    NoNo
    Entry-level Setup FeeNo setup feeOptional
    Additional Details——
    More Pricing Information
    Community Pulse
    IBM Watson StudioPosit
    Considered Both Products
    IBM
    Michael Weaver
    Logistic Assistance Representave (LAR) in Information Technology at US Army (Defense & Space, 501-1000 employees)
    Chose IBM Watson Studio
    With my experience on Jupyter Notebook I think both are good and currently more comfortable with Watson Studio product. With Jupyter it's open source (free) is always good. "Lots of languages (50), data visualization with Seaborn, work with the building blocks in a flexible and …
    Incentivized
    Isaiah King
    Founding Member in Research & Development at IdeaGist Blockchain Incubator (Information Technology and Services, 1-10 employees)
    Chose IBM Watson Studio
    Watson Studio was our choice in data management because its "all-in-one" packaging. Watson studio also stood out to us because it was more affordable and free for our organization to try out. We also greatly value the open source ecosystem Watson Studio has fostered.
    Incentivized
    Sebastian Ferro
    Consultant Sr. in Professional Services at BeSmart Argentina (Information Technology and Services, 11-50 employees)
    Chose IBM Watson Studio
    Watson Studio offers more capabilities and diversity in tools and services.
    Incentivized
    Verified User
    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
    Dimitrije Glumac
    Data Scientist in Research & Development (Information Technology and Services, 10,001+ employees)
    Chose IBM Watson Studio
    I chose DSx because it had a better interface and was more centralized, while allowing team members to work on it as well.
    Incentivized
    Verified User
    Chose IBM Watson Studio
    First, I have to deploy H2O myself. Then 4 paradigm cannot customize code and run customized code as easily as IBM DSX. Last, I should say AliPAI is a good alternative, but it's too expensive.
    Incentivized
    Verified User
    Chose IBM Watson Studio
    I wanted an environment that can support multiple users without any restrictions. Also, R-Studio does not provide a collaborative environment for multiple users. The Auto feature selection in the SPSS modeler is a good node in DSx which helps make statistical decisions on …
    Incentivized
    Verified User
    Chose IBM Watson Studio
    SPSS - Totally different approaches, SPSS UI is now a well-known name with a well-established user base who we consider aren´t going anywhere but Statistics.

    Modeler - A proven analytical solution with capabilities to deal with huge datasets, scalability offers you now the …
    Incentivized
    Jose Valdivia Leon
    Data Scientist (Insurance, 51-200 employees)
    Chose IBM Watson Studio
    Amazon EMR - easy to set up, but hard to use for development Databricks - good option as well Azure HD insight - the same as AWS.
    Incentivized
    Verified User
    Chose IBM Watson Studio
    We did not evaluate comparable platforms. The customer suggested using DSx.
    Incentivized
    Verified User
    Chose IBM Watson Studio
    When developing the use case we considered using a big data platform for developing the required analytics. After evaluating the alternatives and costs we considered that using a big data platform would be too expensive for the kind of studies we are developing in the company. …
    Incentivized
    Bhaumik Pandya
    Data Scientist in Information Technology at BLUETRADE E-Commerce Software & Marketing GmbH (Internet, 11-50 employees)
    Chose IBM Watson Studio
    DSX has power of open source tools brought together in an integrated and secured environment.
    Incentivized
    Ben Holmes
    Financial Informatics Analyst at Arkansas Blue Cross Blue Shield (Insurance, 1001-5000 employees)
    Chose IBM Watson Studio
    The mix of proprietary and open-source benefits that DSx offers gives me more flexibility than any other options I have encountered. I have the custom program building capability of Anaconda with the built-in predictive models of SPSS Modeler. I have more visualization …
    Incentivized
    Jochen Kleboth
    Founding Partner / Lead Data Scientist in Research & Development at FoodIntegrityStudio (Food & Beverages, 1-10 employees)
    Chose IBM Watson Studio
    DSX is more flexible and user-friendly. It is not clear which product to use.
    Incentivized
    Verified User
    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
    Verified User
    Chose IBM Watson Studio
    DSX performed almost 2.5 times faster than Microsoft's free Jupyter Notebook service on their Azure platform.
    Incentivized
    Posit (formerly RStudio)
    No answer on this topic
    Key User Insights
    Would buy again
    No answers on this topic
    No answers on this topic
    Delivers good value for the price
    No answers on this topic
    No answers on this topic
    Happy with the feature set
    No answers on this topic
    No answers on this topic
    Lived up to sales and marketing promises
    No answers on this topic
    No answers on this topic
    Implementation went as expected
    No answers on this topic
    No answers on this topic
    Features
    IBM Watson StudioPosit
    Platform Connectivity
    Comparison of Platform Connectivity features of IBM Watson Studio on Cloud Pak for Data and Posit
    Feature
    IBM Watson Studio on Cloud Pak for Data
    8.1
    22 Ratings
    Posit
    9.3
    27 Ratings
    Connect to Multiple Data Sources8.022 Ratings8.026 Ratings
    Extend Existing Data Sources8.022 Ratings10.027 Ratings
    Automatic Data Format Detection10.021 Ratings10.026 Ratings
    MDM Integration6.414 Ratings00 Ratings
    Data Exploration
    Comparison of Data Exploration features of IBM Watson Studio on Cloud Pak for Data and Posit
    Feature
    IBM Watson Studio on Cloud Pak for Data
    10.0
    22 Ratings
    Posit
    9.0
    27 Ratings
    Visualization10.022 Ratings8.027 Ratings
    Interactive Data Analysis10.022 Ratings10.024 Ratings
    Data Preparation
    Comparison of Data Preparation features of IBM Watson Studio on Cloud Pak for Data and Posit
    Feature
    IBM Watson Studio on Cloud Pak for Data
    9.5
    22 Ratings
    Posit
    10.0
    26 Ratings
    Interactive Data Cleaning and Enrichment10.022 Ratings10.024 Ratings
    Data Transformations10.021 Ratings10.026 Ratings
    Data Encryption8.020 Ratings00 Ratings
    Built-in Processors10.021 Ratings00 Ratings
    Platform Data Modeling
    Comparison of Platform Data Modeling features of IBM Watson Studio on Cloud Pak for Data and Posit
    Feature
    IBM Watson Studio on Cloud Pak for Data
    9.5
    22 Ratings
    Posit
    10.0
    22 Ratings
    Multiple Model Development Languages and Tools10.021 Ratings10.022 Ratings
    Automated Machine Learning10.022 Ratings00 Ratings
    Single platform for multiple model development10.022 Ratings10.022 Ratings
    Self-Service Model Delivery8.020 Ratings10.019 Ratings
    Model Deployment
    Comparison of Model Deployment features of IBM Watson Studio on Cloud Pak for Data and Posit
    Feature
    IBM Watson Studio on Cloud Pak for Data
    8.0
    22 Ratings
    Posit
    9.9
    18 Ratings
    Flexible Model Publishing Options9.022 Ratings10.018 Ratings
    Security, Governance, and Cost Controls7.022 Ratings9.915 Ratings
    User Ratings
    IBM Watson StudioPosit
    Likelihood to Recommend
    8.0
    (65 ratings)
    10.0
    (123 ratings)
    Likelihood to Renew
    8.2
    (1 ratings)
    9.7
    (17 ratings)
    Usability
    9.6
    (2 ratings)
    8.0
    (4 ratings)
    Availability
    8.2
    (1 ratings)
    9.4
    (3 ratings)
    Performance
    8.2
    (1 ratings)
    -
    (0 ratings)
    Support Rating
    8.2
    (1 ratings)
    8.9
    (9 ratings)
    In-Person Training
    8.2
    (1 ratings)
    -
    (0 ratings)
    Online Training
    8.2
    (1 ratings)
    -
    (0 ratings)
    Implementation Rating
    7.3
    (1 ratings)
    9.3
    (4 ratings)
    Configurability
    -
    (0 ratings)
    10.0
    (1 ratings)
    Product Scalability
    8.2
    (1 ratings)
    8.2
    (3 ratings)
    Vendor post-sale
    7.3
    (1 ratings)
    -
    (0 ratings)
    Vendor pre-sale
    8.2
    (1 ratings)
    -
    (0 ratings)