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Azure Data Science Virtual Machines (DSVM)

Azure Data Science Virtual Machines (DSVM)

Overview

What is Azure Data Science Virtual Machines (DSVM)?

Available on Microsoft's Azure platform, Data Science Virtual Machines (DSVMs) are comprehensive pre-configured virtual machines for data science modelling, development and deployment.

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Pricing

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What is Azure Data Science Virtual Machines (DSVM)?

Available on Microsoft's Azure platform, Data Science Virtual Machines (DSVMs) are comprehensive pre-configured virtual machines for data science modelling, development and deployment.

Entry-level set up fee?

  • No setup fee

Offerings

  • Free Trial
  • Free/Freemium Version
  • Premium Consulting/Integration Services

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Product Details

What is Azure Data Science Virtual Machines (DSVM)?

Azure Data Science Virtual Machines (DSVM) Technical Details

Operating SystemsUnspecified
Mobile ApplicationNo
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Comparisons

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Reviews and Ratings

(4)

Reviews

(1-2 of 2)
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Umair Mehboob | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User
I am using the Azure DSVM for [an ]AI-based product on which my company is working. We are looking for a machine [that] can be used to train AI models and have a maximum throughput with highly saleable options. The Azure DSVM provides all the functionalities which we are currently using in the organization.
  • Machine Learning
  • Power BI
  • Data Warehouse
  • 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
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.
Platform Connectivity (4)
17.5%
1.8
Connect to Multiple Data Sources
70%
7.0
Extend Existing Data Sources
N/A
N/A
Automatic Data Format Detection
N/A
N/A
MDM Integration
N/A
N/A
Data Exploration (2)
75%
7.5
Visualization
70%
7.0
Interactive Data Analysis
80%
8.0
Data Preparation (4)
20%
2.0
Interactive Data Cleaning and Enrichment
N/A
N/A
Data Transformations
N/A
N/A
Data Encryption
N/A
N/A
Built-in Processors
80%
8.0
Platform Data Modeling (4)
80%
8.0
Multiple Model Development Languages and Tools
80%
8.0
Automated Machine Learning
90%
9.0
Single platform for multiple model development
70%
7.0
Self-Service Model Delivery
80%
8.0
Model Deployment (2)
40%
4.0
Flexible Model Publishing Options
80%
8.0
Security, Governance, and Cost Controls
N/A
N/A
  • 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.
Azure DSVM provides [many] cost-effective solutions rather than using the Amazon SageMaker. Amazon products are a little more detailed products but this detailing is [a] little costly in comparison to the Azure. Azure DSVM is way more controlled than the Amazon SageMaker and it is very cost-effective as compared to Amazon SageMaker. We are already managing Aure services so we explored the Azure DSVM which turned out [to] be a good choice.
December 08, 2021

Azure DSVM

Marco Urrea | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
Incentivized
I use them to perform tasks that involve high processing in which the DSVM makes things faster compared to being used with a CPU.
  • Leveraging data.
  • Computer vision.
  • Data science.
  • Price is expensive.
To leverage a high processing workload that can be done fast instead of in multiple days or hours.
Platform Connectivity (4)
90%
9.0
Connect to Multiple Data Sources
90%
9.0
Extend Existing Data Sources
90%
9.0
Automatic Data Format Detection
90%
9.0
MDM Integration
90%
9.0
Data Exploration (2)
90%
9.0
Visualization
90%
9.0
Interactive Data Analysis
90%
9.0
Data Preparation (4)
90%
9.0
Interactive Data Cleaning and Enrichment
90%
9.0
Data Transformations
90%
9.0
Data Encryption
90%
9.0
Built-in Processors
90%
9.0
Platform Data Modeling (4)
90%
9.0
Multiple Model Development Languages and Tools
90%
9.0
Automated Machine Learning
90%
9.0
Single platform for multiple model development
90%
9.0
Self-Service Model Delivery
90%
9.0
Model Deployment (2)
80%
8.0
Flexible Model Publishing Options
90%
9.0
Security, Governance, and Cost Controls
70%
7.0
  • It is cheaper than buying a DSVM and having it there until it's obsolete.
It's within the Azure environment and it's easy to manage.
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