Try our new research platform with insights from 80,000+ expert users

Cloudera Data Science Workbench vs Microsoft Azure Machine Learning Studio comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Dec 5, 2024

Review summaries and opinions

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

Categories and Ranking

Cloudera Data Science Workb...
Ranking in Data Science Platforms
23rd
Average Rating
7.0
Reviews Sentiment
6.9
Number of Reviews
2
Ranking in other categories
No ranking in other categories
Microsoft Azure Machine Lea...
Ranking in Data Science Platforms
4th
Average Rating
7.6
Reviews Sentiment
7.0
Number of Reviews
61
Ranking in other categories
AI Development Platforms (3rd)
 

Mindshare comparison

As of April 2025, in the Data Science Platforms category, the mindshare of Cloudera Data Science Workbench is 1.3%, down from 1.7% compared to the previous year. The mindshare of Microsoft Azure Machine Learning Studio is 5.3%, down from 9.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Science Platforms
 

Featured Reviews

Ismail Peer - PeerSpot reviewer
Useful for data science modeling but improvement is needed in MLOps and pricing
If you don't configure CDSW well, then it might be not useful for you. Deploying the tool can vary in complexity, but most of the time, it's relatively simple and straightforward. Triggering a job from data to production is easy, as the platform automates the deployment process. However, ensuring optimal resource allocation is essential for smooth operations.
Takayuki Umehara - PeerSpot reviewer
Streamlined workflows with drag and drop convenience but needs enhancements in AI
I use Machine Learning Studio for system reselling and integration Machine Learning Studio is easy to use, with a significant feature being the drag and drop interface that enhances workflow without any complaints. It provides a return on investment and cost savings, proving beneficial for…

Quotes from Members

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

Pros

"I appreciate CDSW's ability to logically segregate environments, such as data, DR, and production, ensuring they don't interfere with each other. The deployment of machine learning is fast and easy to manage. Its API calls are also fast."
"The Cloudera Data Science Workbench is customizable and easy to use."
"The product's standout feature is a robust multi-file network with limited availability."
"When you import the dataset you can see the data distribution easily with graphics and statistical measures."
"Overall, I rate Microsoft Azure Machine Learning Studio a seven out of ten."
"The product's initial setup phase is easy."
"It is a scalable solution…It is a pretty stable solution…The solution's initial setup process was pretty straightforward."
"The solution is easy to use and has good automation capabilities in conjunction with Azure DevOps."
"The visualizations are great. It makes it very easy to understand which model is working and why."
"The ability to do the templating and be able to transfer it so that I can easily do multiple types of models and data mining is a valuable aspect of this solution. You only have to set up the flows, the templates, and the data once and then you can make modifications and test different segmentations throughout."
 

Cons

"The tool's MLOps is not good. It's pricing also needs to improve."
"Running this solution requires a minimum of 12GB to 16GB of RAM."
"The data preparation capabilities need to be improved."
"In future releases, I would like to see better integration with Power BI within Microsoft Azure Machine Learning Studio."
"The speed of deployment should be faster, as should testing."
"I think they should improve two things. They should make their user interface more user-friendly. Integration could also be better. Because Microsoft Machine Learning is a Microsoft product, it's fully integrated with Microsoft Azure but not fully supported for other platforms like IBM or AWS or something else."
"The high price of the product is an area of concern where improvements are required."
"Microsoft Azure Machine Learning Studio could improve in providing more efficient and cost-effective access to its tools for companies like mine."
"The product must improve its documentation."
"Enable creating ensemble models easier, adding more machine learning algorithms."
 

Pricing and Cost Advice

"The product is expensive."
"The licensing cost is very cheap. It's less than $50 a month."
"My team didn't deal with the licensing for Microsoft Azure Machine Learning Studio, so I'm unable to comment on pricing, but the money that was spent on the tool was worth it."
"The solution cost is high."
"Last year, we paid 60,000 for Microsoft Azure Machine Learning Studio in our department."
"I would rate the pricing an eight out of ten, with ten being very expensive. Not very expensive, not very cheap."
"On a scale from one to ten, with ten being overpriced, I would rate the price of this solution at six."
"I am paying for it following a pay-as-you-go. So, the more I use it, the more it costs."
"From a developer's perspective, I find the price of this solution high."
report
Use our free recommendation engine to learn which Data Science Platforms solutions are best for your needs.
842,767 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Financial Services Firm
34%
Manufacturing Company
10%
Healthcare Company
9%
Computer Software Company
7%
Financial Services Firm
13%
Computer Software Company
11%
Manufacturing Company
10%
Healthcare Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
 

Questions from the Community

What do you like most about Cloudera Data Science Workbench?
I appreciate CDSW's ability to logically segregate environments, such as data, DR, and production, ensuring they don't interfere with each other. The deployment of machine learning is fast and easy...
What needs improvement with Cloudera Data Science Workbench?
The tool's MLOps is not good. It's pricing also needs to improve.
What is your primary use case for Cloudera Data Science Workbench?
We have different use cases. Our banking use case uses machine learning to identify customer life events and recommend the best-suited card products. These machine-learning models are deployed in o...
Which do you prefer - Databricks or Azure Machine Learning Studio?
Databricks gives you the option of working with several different languages, such as SQL, R, Scala, Apache Spark, or Python. It offers many different cluster choices and excellent integration with ...
What do you like most about Microsoft Azure Machine Learning Studio?
The learning curve is very low. Operationalizing the model is also very easy within the Azure ecosystem.
What is your experience regarding pricing and costs for Microsoft Azure Machine Learning Studio?
Pricing is considered to be top-segment and should be improved. I rate the pricing as three or four on a scale of one to ten in terms of affordability.
 

Also Known As

CDSW
Azure Machine Learning, MS Azure Machine Learning Studio
 

Overview

 

Sample Customers

IQVIA, Rush University Medical Center, Western Union
Walgreens Boots Alliance, Schneider Electric, BP
Find out what your peers are saying about Cloudera Data Science Workbench vs. Microsoft Azure Machine Learning Studio and other solutions. Updated: March 2025.
842,767 professionals have used our research since 2012.