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IBM Watson Studio vs SAS Visual Analytics comparison

 

Comparison Buyer's Guide

Executive Summary

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

ROI

Sentiment score
5.0
IBM Watson Studio boosts efficiency, scalability, and lead conversions but seeks improved ROI relative to costs and quick market time.
Sentiment score
6.3
Organizations saw varied ROI from SAS Visual Analytics, noting improved efficiency and financial tracking despite initial cost challenges.
The product offers a significant return on investment through its scalability and integration capabilities.
Process Automation Lead at CONDIACTOR
My customers have seen returns on investment through increased efficiency, automated calculations, improved accuracy in pricing, and reduced staffing needs due to the automation.
Director, Channel and Alliances at Akinon
The enterprise subscription offers more benefits, ensuring valuable outcomes.
Senior Manager: ICT Compliance at DEPARTMENT OF PUBLIC SERVICE AND ADMINISTRATION
 

Customer Service

Sentiment score
6.8
IBM Watson Studio is praised for its effective and thorough support, often rated highly compared to Dialogflow.
Sentiment score
6.8
SAS Visual Analytics customer service is mixed, with praise for technical support but noted gaps in business needs and regional availability.
I would rate the technical support of IBM Watson Studio a solid ten out of ten.
Data Governance System Specialist at a energy/utilities company with 1,001-5,000 employees
The community access is weak, which limits the ability to engage in discussions and find documentation and examples of similar cases effectively.
Director, Channel and Alliances at Akinon
The support quality depends on the SLA or the contract terms.
Process Automation Lead at CONDIACTOR
They provide callbacks to ensure clarity and resolution of any queries.
Senior Manager: ICT Compliance at DEPARTMENT OF PUBLIC SERVICE AND ADMINISTRATION
 

Scalability Issues

Sentiment score
7.1
IBM Watson Studio scales well, adapts to cloud platforms, supports integration, but may require high resources, affecting cost-efficiency.
Sentiment score
7.8
SAS Visual Analytics effectively scales for large datasets and users, though high resource demands and expenses may concern some.
Watson Studio is very scalable.
Process Automation Lead at CONDIACTOR
I have had a chance to communicate with the technical support of IBM Watson Studio, which has been responsive and helpful.
Data Governance System Specialist at a energy/utilities company with 1,001-5,000 employees
I rate IBM Watson Studio seven out of ten for scalability because while it scales, it requires significant resources to do so, making it expensive compared to some competitors.
Director, Channel and Alliances at Akinon
 

Stability Issues

Sentiment score
7.6
IBM Watson Studio is praised for its stability and reliability, with recent updates enhancing performance despite occasional large-scale calculation issues.
Sentiment score
7.1
SAS Visual Analytics is generally reliable but can face performance issues with large data, often due to user practices.
Expertise in optimization is necessary to manage such issues effectively.
Director, Channel and Alliances at Akinon
I find IBM Watson Studio to be quite robust, with minimal downtime and great support regarding stability and reliability.
Data Governance System Specialist at a energy/utilities company with 1,001-5,000 employees
SAS Visual Analytics is stable and manages data effectively without crashing.
Senior Manager: ICT Compliance at DEPARTMENT OF PUBLIC SERVICE AND ADMINISTRATION
 

Room For Improvement

IBM Watson Studio needs a user-friendly interface, enhanced functionality, better support, and streamlined navigation to improve user experience.
SAS Visual Analytics is complex and costly, with challenges in integration, performance, user-friendliness, and external language support.
The platform is associated with a complicated setup process and demands heavy hardware, making it expensive to scale.
Director, Channel and Alliances at Akinon
I wish learning IBM Watson Studio could be easier and more gradual, as it is a complex task.
Software Engineer at a computer software company with 51-200 employees
Better documentation and more tutorials could enhance user experience with IBM Watson Studio.
Data Governance System Specialist at a energy/utilities company with 1,001-5,000 employees
In terms of configuration, I would like to see AI capabilities since many applications are now integrating AI.
Senior Manager: ICT Compliance at DEPARTMENT OF PUBLIC SERVICE AND ADMINISTRATION
 

Setup Cost

IBM Watson Studio's pricing varies, seen as reasonable by some, but costly for complex AI, with regional pricing challenges.
SAS Visual Analytics is costly for small enterprises, but offers strong analytics and simplicity, though consulting and scaling add expenses.
IBM Watson Studio is considered rather expensive, with a rating of six or seven.
Director, Channel and Alliances at Akinon
 

Valuable Features

IBM Watson Studio excels in automation, integration, and user-friendly tools for predictive analytics, machine learning, and big data projects.
SAS Visual Analytics excels in data visualization, advanced analytics, and user-friendly interface with rapid processing and seamless integration.
This capability saves a significant amount of time by automating processes that typically involve manual work, such as data cleaning, feature engineering, and predictive analytics.
Director, Channel and Alliances at Akinon
I believe the AutoAI features of IBM Watson Studio have significantly helped in my data projects by automating model selection and hyperparameter tuning.
Data Governance System Specialist at a energy/utilities company with 1,001-5,000 employees
It integrates well with other platforms and offers good scalability.
Process Automation Lead at CONDIACTOR
The ability to query information from our Excel data into SAS to view specific data is invaluable.
Senior Manager: ICT Compliance at DEPARTMENT OF PUBLIC SERVICE AND ADMINISTRATION
 

Categories and Ranking

IBM Watson Studio
Average Rating
8.2
Reviews Sentiment
6.7
Number of Reviews
17
Ranking in other categories
Data Science Platforms (18th), AI Development Platforms (17th)
SAS Visual Analytics
Average Rating
8.2
Reviews Sentiment
7.0
Number of Reviews
40
Ranking in other categories
Data Visualization (9th)
 

Mindshare comparison

While both are Business Intelligence solutions, they serve different purposes. IBM Watson Studio is designed for Data Science Platforms and holds a mindshare of 2.2%, up 2.1% compared to last year.
SAS Visual Analytics, on the other hand, focuses on Data Visualization, holds 2.1% mindshare, down 4.8% since last year.
Data Science Platforms Market Share Distribution
ProductMarket Share (%)
IBM Watson Studio2.2%
Databricks9.6%
KNIME Business Hub8.7%
Other79.5%
Data Science Platforms
Data Visualization Market Share Distribution
ProductMarket Share (%)
SAS Visual Analytics2.1%
Tableau Enterprise11.3%
Qlik Sense5.6%
Other81.0%
Data Visualization
 

Featured Reviews

AA
Director, Channel and Alliances at Akinon
Automated processes improve efficiency while user interface and accessibility need enhancements
IBM Watson Studio, while powerful, lacks user-friendliness. It is not easy to use, particularly for medium or small enterprises or less experienced staff. Another aspect that requires improvement is the complexity involved in computer vision tasks. The integration capabilities have not significantly impacted workflow since there are simpler tools like Alteryx and Nine. The platform is associated with a complicated setup process and demands heavy hardware, making it expensive to scale. IBM should work on optimizing the user interface and enhancing the product's accessibility for medium and small enterprises.
AN
Senior Manager: ICT Compliance at DEPARTMENT OF PUBLIC SERVICE AND ADMINISTRATION
Enables effective data management and reporting with a straightforward setup
SAS Visual Analytics is helpful as it allows us to perform any queries we need. The ability to query information from our Excel data into SAS to view specific data is invaluable. In terms of reporting, it is easy to extract quick reports and provides graphical representations of the data, which is a great feature.
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Top Industries

By visitors reading reviews
Financial Services Firm
12%
Manufacturing Company
11%
Educational Organization
8%
Computer Software Company
8%
Financial Services Firm
17%
Government
10%
Computer Software Company
8%
University
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business12
Midsize Enterprise1
Large Enterprise5
By reviewers
Company SizeCount
Small Business13
Midsize Enterprise8
Large Enterprise19
 

Questions from the Community

What is your experience regarding pricing and costs for IBM Watson Studio?
IBM Watson Studio is considered rather expensive, with a rating of six or seven. The pricing could be optimized relative to the features and capabilities of the product.
What needs improvement with IBM Watson Studio?
I think IBM Watson Studio can be improved. I wish learning IBM Watson Studio could be easier and more gradual, as it is a complex task. Also, I think pricing is a bit high.
What is your primary use case for IBM Watson Studio?
My main use case for IBM Watson Studio is the end-to-end ML life cycle. A specific example of a project where I used IBM Watson Studio for the end-to-end machine learning life cycle is that I built...
What is your experience regarding pricing and costs for SAS Visual Analytics?
It's about an average of five. It's easy to scale, but it comes with cost.
What needs improvement with SAS Visual Analytics?
In terms of configuration, I would like to see AI capabilities since many applications are now integrating AI. It may be that our current subscription does not include AI-enabled features, but I wo...
What is your primary use case for SAS Visual Analytics?
I started to work with SAS Visual Analytics ( /products/sas-visual-analytics-reviews ) in 2015. We use it for analysis on ICT expenditure information and ICT personnel information. The analytics ar...
 

Also Known As

Watson Studio, IBM Data Science Experience, Data Science Experience, DSx
SAS BI
 

Overview

 

Sample Customers

GroupM, Accenture, Fifth Third Bank
Staples, Ausgrid, Scotiabank, the Australian Institute of Health and Welfare, the Blue Cross and Blue Shield of North Carolina, Oklahoma Gas & Electric, Xcel Energy, and Triad Analytics Solutions.
Find out what your peers are saying about Databricks, Amazon Web Services (AWS), Knime and others in Data Science Platforms. Updated: January 2026.
881,082 professionals have used our research since 2012.