Azure Data Science Virtual Machines (DSVM) vs. Oracle Machine Learning

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Azure Data Science Virtual Machines (DSVM)
Score 8.4 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
Oracle Machine Learning
Score 8.0 out of 10
N/A
Oracle Machine Learning (formerly Oracle Advanced Analytics) combines the Oracle database with Oracle Data Miner and SQL as well as R programming language functionality, providing a complete predictive analytics suite.N/A
Pricing
Azure Data Science Virtual Machines (DSVM)Oracle Machine Learning
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Azure Data Science Virtual Machines (DSVM)Oracle Machine Learning
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)Oracle Machine Learning
Top Pros
Top Cons
Features
Azure Data Science Virtual Machines (DSVM)Oracle Machine Learning
Platform Connectivity
Comparison of Platform Connectivity features of Product A and Product B
Azure Data Science Virtual Machines (DSVM)
8.7
2 Ratings
3% above category average
Oracle Machine Learning
-
Ratings
Connect to Multiple Data Sources7.82 Ratings00 Ratings
Extend Existing Data Sources9.01 Ratings00 Ratings
Automatic Data Format Detection9.01 Ratings00 Ratings
MDM Integration9.01 Ratings00 Ratings
Data Exploration
Comparison of Data Exploration features of Product A and Product B
Azure Data Science Virtual Machines (DSVM)
8.1
2 Ratings
4% below category average
Oracle Machine Learning
-
Ratings
Visualization7.82 Ratings00 Ratings
Interactive Data Analysis8.42 Ratings00 Ratings
Data Preparation
Comparison of Data Preparation features of Product A and Product B
Azure Data Science Virtual Machines (DSVM)
8.9
2 Ratings
8% above category average
Oracle Machine Learning
-
Ratings
Interactive Data Cleaning and Enrichment9.01 Ratings00 Ratings
Data Transformations9.01 Ratings00 Ratings
Data Encryption9.01 Ratings00 Ratings
Built-in Processors8.42 Ratings00 Ratings
Platform Data Modeling
Comparison of Platform Data Modeling features of Product A and Product B
Azure Data Science Virtual Machines (DSVM)
8.4
2 Ratings
1% below category average
Oracle Machine Learning
-
Ratings
Multiple Model Development Languages and Tools8.42 Ratings00 Ratings
Automated Machine Learning9.02 Ratings00 Ratings
Single platform for multiple model development7.82 Ratings00 Ratings
Self-Service Model Delivery8.42 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
11% below category average
Oracle Machine Learning
-
Ratings
Flexible Model Publishing Options8.42 Ratings00 Ratings
Security, Governance, and Cost Controls7.01 Ratings00 Ratings
Best Alternatives
Azure Data Science Virtual Machines (DSVM)Oracle Machine Learning
Small Businesses
IBM SPSS Modeler
IBM SPSS Modeler
Score 7.8 out of 10
IBM SPSS Modeler
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Score 7.8 out of 10
Medium-sized Companies
Mathematica
Mathematica
Score 8.2 out of 10
Posit
Posit
Score 9.1 out of 10
Enterprises
IBM SPSS Modeler
IBM SPSS Modeler
Score 7.8 out of 10
IBM SPSS Modeler
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Score 7.8 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Azure Data Science Virtual Machines (DSVM)Oracle Machine Learning
Likelihood to Recommend
8.4
(2 ratings)
8.0
(10 ratings)
User Testimonials
Azure Data Science Virtual Machines (DSVM)Oracle Machine Learning
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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Oracle
OAC doesn't require software to be installed since it is browser based. This allows for easier deployment since a local client software is not required to be installed for each user. OAC can be used for the casual light user who mainly consumes data to the power user who can created sophisticated dashboard with advanced analytics. OAC is not meant to replace Essbase reporting.
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Pros
Microsoft
  • Leveraging data.
  • Computer vision.
  • Data science.
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Oracle
  • Analyzing heaps of data dumped into the machine learning tool.
  • Giving the researcher an insight on which direction to proceed in order to get the desired results.
  • Can help perform a functional analysis before doing a deep dive.
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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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Oracle
  • As mentioned by others the formatting of reports constantly has issues
  • Once your initial contract terms are up be prepared for a significant increase
  • Pricing needs to be inline with what other competitors are offering
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Alternatives Considered
Microsoft
It's within the Azure environment and it's easy to manage.
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Oracle
Sorry this product was not selected by me, but was a legacy install that was upgraded. I see the value in the product, however, I was not involved in the selection process.
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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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Oracle
  • Our ROI has been great since we have been able to get a birdseye view of our business operations.
  • Shows your areas within your company that needs attention and improvements.
  • Oracle has had a positive impact on all of our business objectives since it provides a clear view of your business operations.
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ScreenShots