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IBM Watson Studio

IBM Watson Studio

Overview

What is IBM Watson Studio?

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…

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Recent Reviews

Beginner Guide Review

7 out of 10
December 01, 2020
Incentivized
IBM Watson studio is being used to host Juypter Notebooks. These notebooks contains analyses for various projects. The primary project …
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Review on IBM Watson

9 out of 10
November 25, 2020
Incentivized
I have been using IBM Watson [Studio (formerly IBM Data Science Experience)] for the purpose of Data science course which was offered by …
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Awards

Products that are considered exceptional by their customers based on a variety of criteria win TrustRadius awards. Learn more about the types of TrustRadius awards to make the best purchase decision. More about TrustRadius Awards

Popular Features

View all 16 features
  • Interactive Data Analysis (22)
    10.0
    100%
  • Visualization (22)
    10.0
    100%
  • Connect to Multiple Data Sources (22)
    8.0
    80%
  • Extend Existing Data Sources (22)
    8.0
    80%
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Pricing

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N/A
Unavailable

What is IBM Watson Studio?

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…

Entry-level set up fee?

  • No setup fee

Offerings

  • Free Trial
  • Free/Freemium Version
  • Premium Consulting/Integration Services

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Features

Platform Connectivity

Ability to connect to a wide variety of data sources

8.1
Avg 8.5

Data Exploration

Ability to explore data and develop insights

10
Avg 8.4

Data Preparation

Ability to prepare data for analysis

9.5
Avg 8.2

Platform Data Modeling

Building predictive data models

9.5
Avg 8.5

Model Deployment

Tools for deploying models into production

8
Avg 8.6
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Product Details

What is IBM Watson Studio?

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.

IBM Watson Studio Competitors

IBM Watson Studio Technical Details

Operating SystemsUnspecified
Mobile ApplicationNo

Frequently Asked Questions

Amazon SageMaker and Azure Machine Learning are common alternatives for IBM Watson Studio.

Reviewers rate Automatic Data Format Detection and Visualization and Interactive Data Analysis highest, with a score of 10.

The most common users of IBM Watson Studio are from Enterprises (1,001+ employees).
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Comparisons

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Reviews and Ratings

(221)

Attribute Ratings

Reviews

(1-25 of 65)
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Score 8 out of 10
Vetted Review
Verified User
Incentivized
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.
Kapil Bansal | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
Incentivized
IBM Waston Studio is well suited if you wanna use some well-known services without investing much of your time there. There are a lot of services that can be used and experimented with. These services are just a few clicks away. Also, there is a free plan if you want to try before actually using the product.
Score 7 out of 10
Vetted Review
Verified User
Incentivized
IBM Watson studio on Cloud Pak for Data is well suited for medium sized teams. It allows for collaboration between technical and non-technical users. It is less suited for companies who already has large built production ML pipelines, as the cost of migration could be high and the initial overhead of learning the tools still remains
Venugopal Dontaraboyana | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
Incentivized
I am not sure whether can use Watson for Robotic process automation. I like the ease of usage of Watson for ML Models and Image processing. I love the way the Project is associated with Assets. I like the different data connectors.
Score 6 out of 10
Vetted Review
Verified User
Incentivized
If you are a small company with insufficient funding, it would be better to go with open source resources because they are free and do the same job. If you are a bigger company with enough resources, then IBM Watson Studio could be better in terms of security and accessibility.
John Robert Uy | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
Incentivized
It is well suited for mechanistic models such as time series and descriptive analysis. There is almost no code necessary when creating these models, as it takes the guesswork out of setting up the parameters. There are also models that we've never before even tried because of its complexities but AutoAI shows that these models are sometimes best for the given problem.
Score 8 out of 10
Vetted Review
Verified User
Incentivized
IBM Watson Studio is very much suitable for data scientists when running a variety of analytical models using various languages such as R, Python and Scala. If you are planning to use data science driven languages in a cloud setting then IBM Watson Studio is a good option as it combines lots of relevant tools such as Notebooks, RStudio and Spark in a single environment. If you are looking to work in these environments as a group then Watson Studio also works well with the distribution and sharing of workspaces. This service however, isn't always the best solution as it can become costly if you are consistently running a large amount of intensive projects.
Score 8 out of 10
Vetted Review
Verified User
Incentivized
IBM Watson Studio (formerly IBM Data Science Experience) is very useful for using different analysis techniques to import and interpret data sets. Converting and cleaning data is easy using IBM Watson Studio (formerly IBM Data Science Experience), so it is very helpful in scenarios where you know what you're trying to achieve. From an educational standpoint, it would be nice if the platform offered more instance-related material, but the platform is very useful for experienced analysis.
NARESH SAMPARA | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User
Incentivized
The IBM Watson Studio is suited for everyone in the organization including a data scientist (who can do the in-depth coding), to a business analyst. Especially when the organizations have to analyze the unstructured data. It has the flexibility in the use of different data science development environments including R, Python and SPSS.
December 01, 2020

Beginner Guide Review

Score 7 out of 10
Vetted Review
Verified User
Incentivized
Watson Studio is suited for quick data validation checks. It's fairly simple to upload data resources and to get something up and running.
(Less Appropriate )I have not seen or had experience with Watson Studio services that can handle a large amount of data.
Score 9 out of 10
Vetted Review
Verified User
Incentivized
The sheer amount of services from DB to many others is more than one would expect especially being a lite user.
The assumption that every user is well versed in coding or just maneuvering around in Watson studio is definitely no true. Thus having said that a process of instruction or maybe a better tutorial might be appropriate.
Christopher Penn | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
ResellerIncentivized
Watson Studio is optimal for experienced data scientists and machine learning professionals to develop and deploy models quickly while enforcing best practices that set up projects for deployment and management down the road. It's not appropriate for people without a data science or machine learning background for production use; the ease of the visual modelers does not mean it makes machine learning easy or intuitive.
February 22, 2019

Analytics for the Masses

Score 10 out of 10
Vetted Review
Verified User
Incentivized
The guided nature of the front end of DSX/WS truly enable an “easy-button” for casual business analysts/scientist, and the advanced functionality using SPSS is a fantastic blend if easy/advanced AI/Statistics
Score 8 out of 10
Vetted Review
Verified User
Incentivized
If a company is well resourced, I would recommend it as it allows the software developers to build products quickly and test them, on top of the many features available for advanced users to try. If a company is less well resourced, then it may be more challenging and in this case, the total TCO needs to be analyzed.
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