Azure Data Science Virtual Machines (DSVM)

Overview
Product	Rating	Most Used By	Product Summary	Starting 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

Pricing

Editions & Modules

No answers on this topic

Offerings

Pricing Offerings
Azure Data Science Virtual Machines (DSVM)
Free Trial
No
Free/Freemium Version
No
Premium Consulting/Integration Services
No

Entry-level Setup Fee

No setup fee

Additional Details

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More Pricing Information

Community Pulse
	Azure Data Science Virtual Machines (DSVM)

Features

Azure Data Science Virtual Machines (DSVM)

Platform Connectivity

Comparison of Platform Connectivity features of Product A and Product B
	Azure Data Science Virtual Machines (DSVM) 8.7 Ratings 4% above category average
Connect to Multiple Data Sources	7.80 Ratings
Extend Existing Data Sources	9.00 Ratings
Automatic Data Format Detection	9.00 Ratings
MDM Integration	9.00 Ratings

Data Exploration

Comparison of Data Exploration features of Product A and Product B
	Azure Data Science Virtual Machines (DSVM) 8.1 Ratings 3% below category average
Visualization	7.80 Ratings
Interactive Data Analysis	8.40 Ratings

Data Preparation

Comparison of Data Preparation features of Product A and Product B
	Azure Data Science Virtual Machines (DSVM) 8.9 Ratings 9% above category average
Interactive Data Cleaning and Enrichment	9.00 Ratings
Data Transformations	9.00 Ratings
Data Encryption	9.00 Ratings
Built-in Processors	8.40 Ratings

Platform Data Modeling

Comparison of Platform Data Modeling features of Product A and Product B
	Azure Data Science Virtual Machines (DSVM) 8.4 Ratings 0% above category average
Multiple Model Development Languages and Tools	8.40 Ratings
Automated Machine Learning	9.00 Ratings
Single platform for multiple model development	7.80 Ratings
Self-Service Model Delivery	8.40 Ratings

Model Deployment

Comparison of Model Deployment features of Product A and Product B
	Azure Data Science Virtual Machines (DSVM) 7.7 Ratings 10% below category average
Flexible Model Publishing Options	8.40 Ratings
Security, Governance, and Cost Controls	7.00 Ratings

Best Alternatives
	Azure Data Science Virtual Machines (DSVM)
Small Businesses	Jupyter Notebook Score 9.4 out of 10
Medium-sized Companies	Posit Score 10.0 out of 10
Enterprises	Posit Score 10.0 out of 10
All Alternatives	View all alternatives

User Ratings
	Azure Data Science Virtual Machines (DSVM)
Likelihood to Recommend	8.4 (0 ratings)

User Testimonials
	Azure Data Science Virtual Machines (DSVM)
Likelihood to Recommend	To leverage a high processing workload that can be done fast instead of in multiple days or hours. Incentivized Marco Urrea DevOps Engineer Read full review
Pros	Leveraging data. Computer vision. Data science. Incentivized Marco Urrea DevOps Engineer Read full review
Cons	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 Umair Mehboob Senior Devops Engineer Read full review
Alternatives Considered	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. Umair Mehboob Senior Devops Engineer Read full review
Return on Investment	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. Umair Mehboob Senior Devops Engineer Read full review
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