21 Ratings
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Score 7.2 out of 100
14 Ratings
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Score 7.5 out of 100

Likelihood to Recommend

Azure Machine Learning Studio

For [a] data scientist require[d] to build a machine learning model, so he/she didn't worry about infrastructure to maintain it.
All kind of feature[s] such as train, build, deploy and monitor the machine learning model available in a single suite.
If someone has [their] own environment for ML studio, so there [it would] not [be] useful for them.
Anonymous | TrustRadius Reviewer

Data Science Workbench

Organizations which already implemented on-premise Hadoop based Cloudera Data Platform (CDH) for their Big Data warehouse architecture will definitely get more value from seamless integration of Cloudera Data Science Workbench (CDSW) with their existing CDH Platform. However, for organizations with hybrid (cloud and on-premise) data platform without prior implementation of CDH, implementing CDSW can be a challenge technically and financially.
Anonymous | TrustRadius Reviewer

Feature Rating Comparison

Platform Connectivity

Azure Machine Learning Studio
Data Science Workbench
7.4
Connect to Multiple Data Sources
Azure Machine Learning Studio
Data Science Workbench
6.8
Extend Existing Data Sources
Azure Machine Learning Studio
Data Science Workbench
7.8
Automatic Data Format Detection
Azure Machine Learning Studio
Data Science Workbench
7.0
MDM Integration
Azure Machine Learning Studio
Data Science Workbench
8.0

Data Exploration

Azure Machine Learning Studio
Data Science Workbench
7.8
Visualization
Azure Machine Learning Studio
Data Science Workbench
7.4
Interactive Data Analysis
Azure Machine Learning Studio
Data Science Workbench
8.2

Data Preparation

Azure Machine Learning Studio
Data Science Workbench
7.8
Interactive Data Cleaning and Enrichment
Azure Machine Learning Studio
Data Science Workbench
7.2
Data Transformations
Azure Machine Learning Studio
Data Science Workbench
8.0
Data Encryption
Azure Machine Learning Studio
Data Science Workbench
8.0
Built-in Processors
Azure Machine Learning Studio
Data Science Workbench
7.8

Platform Data Modeling

Azure Machine Learning Studio
Data Science Workbench
7.8
Multiple Model Development Languages and Tools
Azure Machine Learning Studio
Data Science Workbench
8.2
Automated Machine Learning
Azure Machine Learning Studio
Data Science Workbench
7.0
Single platform for multiple model development
Azure Machine Learning Studio
Data Science Workbench
7.6
Self-Service Model Delivery
Azure Machine Learning Studio
Data Science Workbench
8.4

Model Deployment

Azure Machine Learning Studio
Data Science Workbench
7.8
Flexible Model Publishing Options
Azure Machine Learning Studio
Data Science Workbench
8.4
Security, Governance, and Cost Controls
Azure Machine Learning Studio
Data Science Workbench
7.3

Pros

Azure Machine Learning Studio

  • User friendliness: This is by far the most user friendly tool I've seen in analytics. You don't need to know how to code at all! Just create a few blocks, connect a few lines and you are capable of running a boosted decision tree with a very high R squared!
  • Speed: Azure ML is a cloud based tool, so processing is not made with your computer, making the reliability and speed top notch!
  • Cost: If you don't know how to code, this is by far the cheapest machine learning tool out there. I believe it costs less than $15/month. If you know how to code, then R is free.
  • Connectivity: It is super easy to embed R or Python codes on Azure ML. So if you want to do more advanced stuff, or use a model that is not yet available on Azure ML, you can simply paste the code on R or Python there!
  • Microsoft environment: Many many companies rely on the Microsoft suite. And Azure ML connects perfectly with Excel, CSV and Access files.
Gabriel Chiararia | TrustRadius Reviewer

Data Science Workbench

  • One single IDE (browser based application) that makes Scala, R, Python integrated under one tool
  • For larger organizations/teams, it lets you be self reliant
  • As it sits on your cluster, it has very easy access of all the data on the HDFS
  • Linking with Github is a very good way to keep the code versions intact
Bharadwaj (Brad) Chivukula | TrustRadius Reviewer

Cons

Azure Machine Learning Studio

  • It would be great to have text tips that could ease new users to the platform, especially if an error shows up
  • Scenario-based documentation
  • Pre-processing of modules that had been previously run. Sometimes they need to be re-run for no apparent reason
Anonymous | TrustRadius Reviewer

Data Science Workbench

  • Installation is difficult.
  • Upgrades are difficult.
  • Licensing options are not flexible.
Anonymous | TrustRadius Reviewer

Usability

Azure Machine Learning Studio

Azure Machine Learning Studio 7.0
Based on 2 answers
Easy and fastest way to develop, test, deploy and monitor the machine learning model.
- Easy to load the data set
-Drag and drop the process of the Machine learning life cycle.
Anonymous | TrustRadius Reviewer

Data Science Workbench

No score
No answers yet
No answers on this topic

Support Rating

Azure Machine Learning Studio

Azure Machine Learning Studio 7.0
Based on 2 answers
Support is nonexistent. It's very frustrating to try and find someone to actually talk to. The robot chatbots are just not well trained.
Anonymous | TrustRadius Reviewer

Data Science Workbench

Data Science Workbench 7.4
Based on 2 answers
Cloudera Data Science Workbench has excellence online resources support such as documentation and examples. On top of that the enterprise license also comes with SLA on opening a ticket to Cloudera Services and support for complaint handling and troubleshooting by email or through a phone call. On top of that it also offers additional paid training services.
Anonymous | TrustRadius Reviewer

Implementation Rating

Azure Machine Learning Studio

Azure Machine Learning Studio 8.0
Based on 1 answer
Anonymous | TrustRadius Reviewer

Data Science Workbench

No score
No answers yet
No answers on this topic

Alternatives Considered

Azure Machine Learning Studio

It is easier to learn, it has a very cost effective license for use, it has native build and created for Azure cloud services, and that makes it perfect when compared against the alternatives. As a Microsoft tool, it has been built to contain many visual features and improved usability even for non-specialist users.
Anonymous | TrustRadius Reviewer

Data Science Workbench

Both the tools have similar features and have made it pretty easy to install/deploy/use. Depending on your existing platform (Cloudera vs. Azure) you need to pick the Workbench. Another observation is that Cloudera has better support where you can get feedback on your questions pretty fast (unlike MS). As its a new product, I expect MS to be more efficient in handling customers questions.
Bharadwaj (Brad) Chivukula | TrustRadius Reviewer

Return on Investment

Azure Machine Learning Studio

  • Productivity: Instead of coding and recoding, Azure ML helped my organization to get to meaningful results faster;
  • Cost: Azure ML can save hundreds (or even thousands) of dollars for an organization, since the license costs around $15/month per seat.
  • Focus on insights and not on statistics: Since running a model is so easy, analysts can focus more on recommendations and insights, rather than statistical details
Gabriel Chiararia | TrustRadius Reviewer

Data Science Workbench

  • Paid off for demonstration purposes.
Anonymous | TrustRadius Reviewer

Pricing Details

Azure Machine Learning Studio

General

Free Trial
Free/Freemium Version
Premium Consulting/Integration Services
Entry-level set up fee?
No

Azure Machine Learning Studio Editions & Modules

Edition
Studio Pricing - Free$0.001
Studio Pricing - Standard$9.992
Production Web API - Dev/Test$0.003
Production Web API - Standard S1$100.133
Production Web API - Standard S2$1000.063
Production Web API - Standard S3$9999.983
  1. per month
  2. per ML studio workspace/per month
  3. per month
Additional Pricing Details

Data Science Workbench

General

Free Trial
Free/Freemium Version
Premium Consulting/Integration Services
Entry-level set up fee?
No

Data Science Workbench Editions & Modules

Additional Pricing Details

Rating Summary

Likelihood to Recommend

Azure Machine Learning Studio
7.2
Data Science Workbench
8.5

Likelihood to Renew

Azure Machine Learning Studio
7.0
Data Science Workbench

Usability

Azure Machine Learning Studio
7.0
Data Science Workbench

Support Rating

Azure Machine Learning Studio
7.0
Data Science Workbench
7.4

Implementation Rating

Azure Machine Learning Studio
8.0
Data Science Workbench

Add comparison