Databricks on Azure VMs
April 05, 2022
Databricks on Azure VMs
Score 7 out of 10
Vetted Review
Verified User
Overall Satisfaction with Azure Virtual Machines
I used Azure Virtual Machines in my last organization for deploying out Machine Learning model and related workloads on virtual machines. Our requirement was to enable automated deployment of our compute engine - Databricks, our ML models, and Airflow workflows on scalable virtual machines and Azure Virtual Machines was our choice in the last organization I worked with.
Pros
- Rapid Scalability
- Variety of elastic storage options
- Flexibility and control for app deployment
- Regular Updates for security and feature upgrades
- Fault tolerance
- Native Integration with Databricks
Cons
- Pricing can be a bit better
- Compute types can be increased (AWS EC2 has more)
- No Bare metal GPU instances as in OCI
- Native Databricks deployment and upgradation was a breeze
- Peace of mind with regards fault tolerance and automated backups
- Native availability of Windows VMs made it easy to migrate Windows based on prem systems.
- Amazon Elastic Compute Cloud (EC2)
Our main reason for selection of Azure Virtual Machines was easy availability of databricks and windows based VM natively. These features are not available on EC2.
Do you think Azure Virtual Machines delivers good value for the price?
Yes
Are you happy with Azure Virtual Machines's feature set?
Yes
Did Azure Virtual Machines live up to sales and marketing promises?
Yes
Did implementation of Azure Virtual Machines go as expected?
Yes
Would you buy Azure Virtual Machines again?
Yes
Comments
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