IBM Watson Studio on Cloud Pak for Data

IBM Watson Studio on Cloud Pak for Data

219 Reviews and Ratings

Overview
Product	Rating	Most Used By	Product Summary	Starting Price
IBM Watson Studio	Score10 out of 10	N/A	IBM 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 Studio

No answers on this topic

Pricing Offerings
IBM Watson Studio
Free Trial
No
Free/Freemium Version
No
Premium Consulting/Integration Services
No

No setup fee

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Community Pulse
Key User Insights
	IBM Watson Studio
Considered Both Products	IBM Kapil Bansal Web Developer in Engineering at FreshlyBuilt (Computer Software, 11-50 employees) Chose IBM Watson Studio Google Cloud may be a good place but it is not as easy to understand as IBM Watson is. Google Cloud has a lot of things and it is terrifying for a beginner. You need hours of specialization for that. On other hand, anyone can start using IBM Waston just by the following … Incentivized Helpful? Verified User Chose IBM Watson Studio Data ingestion Batch data processing Built-in connectors to Python Incentivized Helpful? Li Rong Software Engineer in Information Technology at nate (Retail, 11-50 employees) Chose IBM Watson Studio AWS Sagemaker is a well-established product that supports on-demand notebooks, data pipelines, and so on, however, it also comes with the learning overhead of the whole AWS stack. It does allow per-defined models, but the benefit of using IBM Watson Studio is that users are … Incentivized Helpful? Venugopal Dontaraboyana IT Specialist in Information Technology at Hewlett Packard Enterprise (Computer Software, 10,001+ employees) Chose IBM Watson Studio Organization of data, use of data, manage the data, visualize the data is easy. Use of the environment for any project. We can use python or R or Scala in the notebook. Incentivized Helpful? Verified User Chose IBM Watson Studio It provides better user experience. All your data on cloud and does not take up space locally. Incentivized Helpful? Verified User Chose IBM Watson Studio I think they are very similar but IBM Watson is not good enough yet to pay for the services that I can already get from Jupyter Notebook. Incentivized Helpful? John Robert Uy President in Professional Services at Agile Inference Business Support Services (Computer Software, 1-10 employees) Chose IBM Watson Studio Easy to use, but still requires a lot of coding to use. There is no ranking of models used and models are not persistent, which means you have to keep running the models again every time you leave the session. The filesystem is clunky and need to keep authorizing Google Drive … Incentivized Helpful? Verified User Chose IBM Watson Studio 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 … Incentivized Helpful? NARESH SAMPARA Research Associate in Marketing at Personal (Writing & Editing, 1-10 employees) Chose IBM Watson Studio IBM offers a deep neural network training workflow, with a flow editor interface similar to the one used in Azure ML Studio. However, the custom build modeling in IBM has notebooks such as Jupiter to program models manually using popular frameworks like TensorFlow, … Incentivized Helpful? Verified User Chose IBM Watson Studio As it offers more features and can be used for several applications like AI,ML,DS etc., Incentivized Helpful? 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 Helpful? Verified User Chose IBM Watson Studio We didn’t evaluate other products but we liked what we saw in Watson Studio. Incentivized Helpful? Christopher Penn Co-Founder and Chief Innovator in Corporate at Trust Insights (Research, 1-10 employees) Chose IBM Watson Studio As an IBM Business Partner, we are financially incentivized to recommend and deploy IBM solutions where it makes sense to do so for the customer. Against other solutions, few have the governance and security that IBM offers, which is essential for any kind of work in highly … Incentivized Helpful? ashish devassy Manager in Information Technology at Blue Cross & Blue Shield of Mississippi (Insurance, 501-1000 employees) Chose IBM Watson Studio We did not use any other one so this would be hard for me to answer. Incentivized Helpful? Verified User Chose IBM Watson Studio They are close, but I feel Alteryx is more of an enhanced Jupyter capability, whereas WS is more of an enterprise solution for multiple teams Incentivized Helpful? Verified User Chose IBM Watson Studio Not applicable Incentivized Helpful? Van West Chief Strategy Officer in Sales at Reality Smash (Computer Software, 11-50 employees) Chose IBM Watson Studio Less satisfied with Watson and lack of support. Incentivized Helpful? Verified User Chose IBM Watson Studio I am excited with the roadmap of Watson Studio incorporating SPSS Modeler in the offerings. Incentivized Helpful? 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 Helpful? Dr. George Ng Lecturer (Software and Information Technology Council) in Information Technology at FEDERATION OF HONG KONG INDUSTRIES (Education Management, 1001-5000 employees) Chose IBM Watson Studio AWS Sagemaker is new, and I personally think it's better than sliced bread. There's very little set up to do. Watson Studio needs to up its game against Sagemaker. Incentivized Helpful? Verified User Chose IBM Watson Studio AWS stacks up very favourably against Watson Studio, and in fact this is what the customer ultimately chose over Watson Studio after an evaluation period due to the sophistication, maturity, security, and capabilities of the AWS components. The downsides of AWS are having to … Incentivized Helpful? 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 Helpful? 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 Helpful? Andrea Bardone consultant in Information Technology at Reply (Online Media, 5001-10,000 employees) Chose IBM Watson Studio IBM DSx is more comprehensive and easy to use, IBM Data science experience has many connectors to the data source and guarantees the portability with your old projects. Incentivized Helpful?
	Would buy again
	No answers on this topic
	Delivers good value for the price
	No answers on this topic
	Happy with the feature set
	No answers on this topic
	Lived up to sales and marketing promises
	No answers on this topic
	Implementation went as expected
No answers on this topic

Features

IBM Watson Studio

Comparison of Platform Connectivity features of IBM Watson Studio on Cloud Pak for Data
Feature	IBM Watson Studio on Cloud Pak for Data 8.1 22 Ratings
Connect to Multiple Data Sources	8.022 Ratings
Extend Existing Data Sources	8.022 Ratings
Automatic Data Format Detection	10.021 Ratings
MDM Integration	6.414 Ratings

Comparison of Data Exploration features of IBM Watson Studio on Cloud Pak for Data
Feature	IBM Watson Studio on Cloud Pak for Data 10.0 22 Ratings
Visualization	10.022 Ratings
Interactive Data Analysis	10.022 Ratings

Comparison of Data Preparation features of IBM Watson Studio on Cloud Pak for Data
Feature	IBM Watson Studio on Cloud Pak for Data 9.5 22 Ratings
Interactive Data Cleaning and Enrichment	10.022 Ratings
Data Transformations	10.021 Ratings
Data Encryption	8.020 Ratings
Built-in Processors	10.021 Ratings

Comparison of Platform Data Modeling features of IBM Watson Studio on Cloud Pak for Data
Feature	IBM Watson Studio on Cloud Pak for Data 9.5 22 Ratings
Multiple Model Development Languages and Tools	10.021 Ratings
Automated Machine Learning	10.022 Ratings
Single platform for multiple model development	10.022 Ratings
Self-Service Model Delivery	8.020 Ratings

Comparison of Model Deployment features of IBM Watson Studio on Cloud Pak for Data
Feature	IBM Watson Studio on Cloud Pak for Data 8.0 22 Ratings
Flexible Model Publishing Options	9.022 Ratings
Security, Governance, and Cost Controls	7.022 Ratings

User Ratings
	IBM Watson Studio
Likelihood to Recommend	8.0 (65 ratings)
Likelihood to Renew	8.2 (1 ratings)
Usability	9.6 (2 ratings)
Availability	8.2 (1 ratings)
Performance	8.2 (1 ratings)
Support Rating	8.2 (1 ratings)
In-Person Training	8.2 (1 ratings)
Online Training	8.2 (1 ratings)
Implementation Rating	7.3 (1 ratings)
Product Scalability	8.2 (1 ratings)
Vendor post-sale	7.3 (1 ratings)
Vendor pre-sale	8.2 (1 ratings)