Azure Data Science Virtual Machines (DSVM) vs. IBM CPLEX Optimization Studio

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Azure Data Science Virtual Machines (DSVM)
Score 8.7 out of 10
N/A
Available on Microsoft's Azure platform, Data Science Virtual Machines (DSVMs) are comprehensive pre-configured virtual machines for data science modelling, development and deployment.N/A
IBM CPLEX Optimization Studio
Score 6.2 out of 10
N/A
IBM CPLEX Optimization Studio is a mathematical decision optimization application, for building applications or deploying optimization models.
$199
Per User Per Month
Pricing
Azure Data Science Virtual Machines (DSVM)IBM CPLEX Optimization Studio
Editions & Modules
No answers on this topic
Developer Subscription
$199.00
Per User Per Month
Offerings
Pricing Offerings
Azure Data Science Virtual Machines (DSVM)IBM CPLEX Optimization Studio
Free Trial
NoNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
Azure Data Science Virtual Machines (DSVM)IBM CPLEX Optimization Studio
Top Pros

No answers on this topic

Top Cons
Features
Azure Data Science Virtual Machines (DSVM)IBM CPLEX Optimization Studio
Platform Connectivity
Comparison of Platform Connectivity features of Product A and Product B
Azure Data Science Virtual Machines (DSVM)
8.7
2 Ratings
IBM CPLEX Optimization Studio
6.3
1 Ratings
Connect to Multiple Data Sources8.02 Ratings8.01 Ratings
Extend Existing Data Sources9.01 Ratings6.01 Ratings
Automatic Data Format Detection9.01 Ratings6.01 Ratings
MDM Integration9.01 Ratings5.01 Ratings
Data Exploration
Comparison of Data Exploration features of Product A and Product B
Azure Data Science Virtual Machines (DSVM)
8.2
2 Ratings
IBM CPLEX Optimization Studio
2.5
1 Ratings
Visualization8.02 Ratings1.01 Ratings
Interactive Data Analysis8.52 Ratings4.01 Ratings
Data Preparation
Comparison of Data Preparation features of Product A and Product B
Azure Data Science Virtual Machines (DSVM)
8.9
2 Ratings
IBM CPLEX Optimization Studio
5.3
1 Ratings
Interactive Data Cleaning and Enrichment9.01 Ratings5.01 Ratings
Data Transformations9.01 Ratings7.01 Ratings
Data Encryption9.01 Ratings7.01 Ratings
Built-in Processors8.52 Ratings2.01 Ratings
Platform Data Modeling
Comparison of Platform Data Modeling features of Product A and Product B
Azure Data Science Virtual Machines (DSVM)
8.5
2 Ratings
IBM CPLEX Optimization Studio
5.7
1 Ratings
Multiple Model Development Languages and Tools8.52 Ratings6.01 Ratings
Automated Machine Learning9.02 Ratings5.01 Ratings
Single platform for multiple model development8.02 Ratings6.01 Ratings
Self-Service Model Delivery8.52 Ratings00 Ratings
Model Deployment
Comparison of Model Deployment features of Product A and Product B
Azure Data Science Virtual Machines (DSVM)
7.7
2 Ratings
IBM CPLEX Optimization Studio
8.0
1 Ratings
Flexible Model Publishing Options8.52 Ratings8.01 Ratings
Security, Governance, and Cost Controls7.01 Ratings8.01 Ratings
User Ratings
Azure Data Science Virtual Machines (DSVM)IBM CPLEX Optimization Studio
Likelihood to Recommend
8.5
(2 ratings)
9.0
(1 ratings)
Usability
-
(0 ratings)
9.0
(1 ratings)
Support Rating
-
(0 ratings)
7.0
(1 ratings)
User Testimonials
Azure Data Science Virtual Machines (DSVM)IBM CPLEX Optimization Studio
Likelihood to Recommend
Microsoft
Azure DSVM is useful in [a] Machine Learning environment where GPU-based processing is [required]. [The] most relevant [users] for the Azure DSVM is in ML/AI for model training and processing [high-end] CPU tasks with GPU compatibility. Azure DSVM is built for [a] startup to low medium IT environments where the ML/AI-based projects are [carried] out.
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IBM
It is well suited for solving large-sized, mixed-integer, and integer programming problems. Now, the new version supports for Multi-Objective optimization along with some new algorithms such as Benders Decomposition. It is less appropriate for quadratic programming problems where the objective function is the product of multiple variables. However, it's very easy to code any problem.
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Pros
Microsoft
  • Leveraging data.
  • Computer vision.
  • Data science.
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IBM
  • Integer programming.
  • Mixed integer programming.
  • Quadratic programming.
  • Multi-objective optimization.
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Cons
Microsoft
  • Azure DSVM pricing must be reduced so that an AI-based start-up can use the Azure DSVM.
  • Azure must create an environment to use Azure DSVM offline as well.
  • Lack of frameworks
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IBM
  • Data handling from different sources like Note Pad, etc.
  • Large size of MILP problems.
  • Various parameters to set.
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Usability
Microsoft
No answers on this topic
IBM
It's nice to use and with good optimization.
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Support Rating
Microsoft
No answers on this topic
IBM
Honestly, to say, I never contacted CPLEX but used its forum to know/clarify any issues I faced.
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Alternatives Considered
Microsoft
It's within the Azure environment and it's easy to manage.
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IBM
Compared with MATLAB, CPLEX is a more user-friendly and simpler structure for writing models. This one also has a good return on investment.
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Return on Investment
Microsoft
  • Azure DSVM is little costly with long term support for ML based environments.
  • Azure DSVM is very good for short tasking and costs us [a] little low than the on-prem server.
  • [Scaling] option is very convenient.
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IBM
  • Better for price.
  • Many model parameters/features.
  • No visualization.
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