IBM Watson Studio

IBM Watson Studio

About TrustRadius Scoring
Score 8.7 out of 100
IBM Watson Studio on Cloud Pak for Data

Overview

Recent Reviews

Early review of IBM Watson

6 out of 10
February 04, 2021
We mostly use IBM Watson Studio for its Notebook features for running Python codes. It allows us to work on the code together and generate …
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Beginner Guide Review

7 out of 10
December 01, 2020
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
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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Reviewer Sentiment

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Awards

TrustRadius Award Top Rated 2021

Popular Features

View all 16 features

Interactive Data Analysis (21)

7.7
77%

Visualization (21)

7.7
77%

Connect to Multiple Data Sources (21)

7.7
77%

Extend Existing Data Sources (21)

7.4
74%

Video Reviews

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Pricing

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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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Alternatives Pricing

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What is Azure Machine Learning?

Microsoft's Azure Machine Learning is and end-to-end data science and analytics solution that helps professional data scientists to prepare data, develop experiments, and deploy models in the cloud. It replaces the Azure Machine Learning Workbench.

Features Scorecard

Platform Connectivity

7.2
72%

Data Exploration

7.7
77%

Data Preparation

7.6
76%

Platform Data Modeling

7.5
75%

Model Deployment

6.8
68%

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

Comparisons

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Frequently Asked Questions

What is IBM Watson Studio's best feature?

Reviewers rate Built-in Processors highest, with a score of 7.8.

Who uses IBM Watson Studio?

The most common users of IBM Watson Studio are from Enterprises (1,001+ employees) and the Information Technology & Services industry.

Reviews

(1-25 of 59)
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Score 7 out of 10
Vetted Review
Verified User
Review Source
The benefits of IBM watson studio is that it manages the infrastructure for users who are for the most part, not technical. Other open source solutions do exist, however extra devops effort or developer resources are required to build host and maintain such services, and with open source tools the support for bug fixing can be less defined.
Venugopal Dontaraboyana | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
Review Source
Jupyter Notebook or RStudio is a remarkable feature. And we can use R code Comments section Python and many more. Export of the Notebook in many forms like ppt and pdf and html. We can use multiple notebooks. We can integrate even R. We can use SCALA and set the required environment.
Score 8 out of 10
Vetted Review
Verified User
Review Source
Some members of staff were upskilling using courses that utilised IBM Watson Studio and they found it to be a particularly useful tool for accessing a large variety of kernels, data sources and compute integration. Having access to a community of 20 million data scientists and the ability to collaborate with colleagues and users easily has had a significantly positive impact on the learning experience for a large portion of our students. More and more researchers and academics are picking up this service as a convenient way to integrate open source stools which are essential to data science.
NARESH SAMPARA | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User
Review Source
When analyzing the data of the organization, as a data analyst it is not my objective to learn about how to set up tools and look after infrastructure. The IBM Watson studio stands out where we use tools to help us focus on our main activities. The best part is the easy setup and use [of] the IBM studio.
December 01, 2020

Beginner Guide Review

Score 7 out of 10
Vetted Review
Verified User
Review Source
I used both IBM Watson Studio and Jupyter Notebook as this solved a lot of hardware issues that our users were facing. Some users didn't have the necessary storage requirements to hold all of the data files for our projects or their machines didn't have enough power to execute complex analyses. Using Cloud Storage to host the data and connecting that to the Jupyter Notebook made it possible to have one central repository that our developers could work on - thereby eliminating the hardware issues mentioned above.
Score 9 out of 10
Vetted Review
Verified User
Review Source
Actually the reason I chose Watson Studios was it was part of the Coursera Data Science training modules and learning content. Although we did use Jupyter and RStudio as well. I'll definitely use and experiment with the 350 products/services that is available. Currently just practicing coding and doing the basic things with Watson studios.
Christopher Penn | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Reseller
Review Source
We use R Studio in addition to Watson Studio. We typically do POCs in R and then upscale to Watson Studio for production, because the IBM infrastructure means great governance and compliance and a minimum of system administration after deployment. With the new OpenScale ML management, it will also provide more transparency in models.
Score 8 out of 10
Vetted Review
Verified User
Review Source
One advantage is that Watson Studio uses a lot of open source solutions and brings together numerous popular tools for data science on a single platform. For example, we use a lot of Python and R, and Watson Studio's single platform brings convenience when we're testing different libraries. Other tools are less comprehensive compared to Watson Studio.
Dr. George Ng | TrustRadius Reviewer
Score 1 out of 10
Vetted Review
Verified User
Review Source
Hong Kong University was teaching non-technical students data science. We've looked at a couple of platforms and found that DSX had a couple of Jupyter NBs to start and it was a minimal effort on the part of Lecturers to produce a lesson plan. However, the erratic nature of Apache Spark in R was a big letdown.
Score 7 out of 10
Vetted Review
Reseller
Review Source
Watson Studio comes with Jupyter Notebooks and RStudio built in! If it did not, we would not be using it. It is the management and integration of these open source tools (including Spark) with other value-added IBM products like Db2 Warehouse on Cloud, and Watson Analytics that is what makes Watson Studio a more interesting proposition than the open source components alone.

In terms of benefit realisation, I think we were definitely able to learn new skills using the environment, but as stated previously, found some of the integrated components e.g. Data Connect and Watson Analytics to be too limited and simplistic for a sophisticated Enterprise customer deployment
April 13, 2018

From the heart

Score 4 out of 10
Vetted Review
Reseller
Review Source
Chose it due to being an IBM Gold Partner, and wanted to test the new powerhouse. Additionally, it was said to become more integrated with other serivces, that has come. So far we have realized no benefits from Watson Studio, as it keeps changing. The small benefits we've had are when working in a team, but then we could have saved time due to the changing nature of Dsx over the last 6 months.