Skip to main content
TrustRadius
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…

Read more
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 …
Continue reading

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 …
Continue reading
Read all reviews

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%
Return to navigation

Pricing

View all pricing
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

Would you like us to let the vendor know that you want pricing?

41 people also want pricing

Alternatives Pricing

What is Mathematica?

Wolfram's flagship product Mathematica is a modern technical computing application featuring a flexible symbolic coding language and a wide array of graphing and data visualization capabilities.

What is Rational BI?

Rational BI provides analytics, data science and business intelligence in an analytical platform that connects to databases, data files and cloud drives including AWS and Azure data sources, enabling users to explore and visualize data. Users can build real-time notebook-style reports directly in a…

Return to navigation

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
Return to navigation

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 Visualization and Interactive Data Analysis and Data Transformations highest, with a score of 10.

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

Comparisons

View all alternatives
Return to navigation

Reviews and Ratings

(222)

Attribute Ratings

Reviews

(1-2 of 2)
Companies can't remove reviews or game the system. Here's why
Score 8 out of 10
Vetted Review
Verified User
Incentivized
In some use-cases, we use it within my research group. More importantly, we used it to win a nation-wide challenge for IoT-based Smart Cities in one of the Nordic countries. In particular, we used it to train various types of classifiers to predict a large number of events occurring in a Smart City scenario.
  • Easy to use and well thought UI and UX.
  • Ease of use of the entire system. All the phases (from data loading to classifier training to prediction) are easily accessible and well structured/phased.
  • Satisfactory prediction results with Gradient Boosting classifier.
  • The help and documentation are easy to read and are an easy overview of the steps and how they are interconnected.
  • Not easy to use/understand how "Continuous Classifier Performance Monitoring" - we were unable to get it working or fully understand what are the inputs and how to make it work.
IBM Data Science Experience is well suited for the following scenarios:
  1. - quick prototyping
  2. - PoC and demos
  3. - evaluation of the suitability of machine learning and data analysis for a particular project
  4. - when there is a lacking expertise in machine learning and a project needs to deliver a machine learning based solution
  • Positive: Was easy to add a machine learning based predictive feature to our winning solution
  • Positive: Motivated us and made us explore and understand that we need machine learning in other features as well
  • Positive: Convinces a strict jury that machine learning is working and the winning solutions must have such features
We did not use or evaluate other products like IBM Data Science Experience (DSx).
Amazon Elastic Compute Cloud (EC2)
No
  • Product Features
  • Existing Relationship with the Vendor
One condition of the nation-wide IoT based Smart City challenge our research team participated was to use a series of IBM Cloud services as well as IBM Data Science Experience (DSx). Nevertheless, our team was equally intrigued by the features and whether we could get fast a usable and performing prototype. We were not disappointed!
Our team would definitely evaluate based on:
  1. - the starting and ongoing costs of using the service
  2. - the quality and the completeness of the documentation and the example/sample/reference code snippets
  3. - easy of use and the support of the APIs to programmatically reach and use the IBM Data Science Experience (DSx) services
Davide Tognon | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User
Incentivized
We use IBM DSx in the whole company, mostly in the field of research; we address it to predictive and descriptive analysis.
  • DSx is very useful for viewing data from different points of view (via Watson Analytics)
  • DSx is very powerful with its Python and R ambient integrated within
  • DSx is a good tool for collaborative machine learning procedures
  • DSx ...
DSx very good for descriptive and predictive analysis. We gifted our manager with this new tool so that our equipment can be used for research purposes based upon analysis and new features that could be achieved after a predictive analysis. We use both of them, inverting the order, sometimes, testing our ideas or being inspired by a different point of view upon our data.
  • By now we are just testing but it surely had a good impact on the time reduced for getting such powerful analysis
It is the first product we tried.
5
IT technicians that are on a path to becoming data scientists.
2
Programmers, mathematics, physics
  • Predictive analysis
  • Descriptive analysis
  • analysis of data integrity
  • with DSX we have found several new points of view on the matter that concerns our analysis: it made possible to watch our data from 2 steps backwards and that allowed us to move 4 steps forward on our comprehension of the phenomena that we were studying
  • we are thinking about what we call DSX over DSX which means that, according to the results we found and to the paths that lead us to them, we are modyfing our own procedures as well and they became our new field of study: the time used for 'cleanin' data has been well spent because now we can think about their structure and remodelling the whole procedure that concerns with data itself
because we find out that DSX results have improved our approach to the whole subject (data, models, procedures)
Not Sure
  • Product Reputation
  • Existing Relationship with the Vendor
Read many reviews and articles about case studies
I would try demo version of the most credited choices
  • Implemented in-house
Yes
Analysis of data, import steps, normalizing data, test and development of solution
  • watson analytics
  • predictive analysis
It surprised us with unpredictable case of use and brand new points of view
  • Online training
  • In-person training
  • Self-taught
The trainers on the job are very smart with solutions and very able in teaching
The Platform is very handy and suggests further steps according my previous interests
Platform lead you step by step in acquiring the knowledge that one needs
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
No
At the beginning I was wondering how to parse my typemismatched data and they showed how DSX itself could help, via machine learning, in refining the procedures of business intelligence for parsing purposes
  • Notebook editing with the integrated interpreter of code
  • Not yet had this experience
Everything is so handy
It helped us in getting from 0 to DSX without getting lost
From time to time there are services unavailable, but we have been always informed before and they got back to work sooner than expected
Never had slow response even on our very busy network
They were always ready to response and find out comfortable location for presentation
He kept following our requests even after sale
We could find together which were the best options to be activated for our special purposes
Keep on like this
Return to navigation