

Microsoft Azure and Google Compute Engine compete in the cloud services category. Azure holds the upper hand due to its extensive global reach and a broad array of services.
Features: Microsoft Azure provides global data center availability, supports multiple languages, and offers robust application interface services. It's compatible with different frameworks and excels in hybrid cloud capabilities. Google Compute Engine focuses on flexibility and automation, key strengths being customizable VM configurations and cost-effective machine learning and storage options.
Room for Improvement: Microsoft Azure could improve its pricing model clarity, integrations, and security features. Users seek more consistent console experience and better developer tools. Google Compute Engine may enhance its usability for non-technical users, multi-region support, and UI navigation for certain tasks.
Ease of Deployment and Customer Service: Azure is recognized for quick deployment in hybrid and public cloud setups, though its feature complexity is noted. Customer support tends to be inconsistent. Google Compute Engine is praised for straightforward deployment and efficient customer service for technical issues.
Pricing and ROI: Azure's pricing is flexible but can become expensive without careful management; integration with Microsoft licenses offers cost reductions. Google Compute Engine uses a competitive pay-as-you-go model, having a cost advantage for specific workloads.
Instead of purchasing and managing a physical server, a company can host an application on Microsoft Azure and pay only for consumed resources, reducing infrastructure and operational costs.
The value for money is good, and Microsoft Azure has positively impacted our operational costs.
When we use Microsoft Azure, it provides enhanced security from our perspective, though I am not certain about the financial return on investment or benefits for our users as I do not have that information.
Microsoft needs to engage L3 and L2 in support when specified in service tickets.
We eventually get the resolution we seek.
I would rate their technical support a ten because we have various support channels available.
Microsoft Azure is not just one product; it is a platform with multiple products within Microsoft Azure, and I would say it is scalable and would rate it a nine.
The scalability of Microsoft Azure is excellent for growth and adaptation, depending on company requirements.
It has different kinds of designs that allow for management and deployment in multi-zones, offering both scalable and non-scalable options.
The stability of Google Compute Engine is on par with other servers, akin to using instances from AWS, as no one needs any downtime.
We noticed a few critical servers went down due to a Microsoft Azure-end hardware issue.
We are now migrating clients without the zoning into mandatory multi-zone deployments, so if one zone goes down, their application and database remain live.
Microsoft Azure is quite stable, but recent outages and security issues have slightly decreased my confidence.
I have noticed a positive impact since the deployment of Google Compute Engine; it is simpler.
Recent outages and security issues are also a concern, causing a decrease in confidence, especially when partnering with third-party companies.
The administrative side is suitable for technical people, but our finance and HR super users find it less user-friendly, as they prefer drag-and-drop features to build their own solutions without contacting IT.
There is still room for improvement in terms of pricing.
While doing my personal projects, I prefer AWS over GCP and usually suggest the same to others because I have tried everything in AWS.
Microsoft solutions might be cheaper than some services like AWS, but some solutions may be more expensive depending on the services compared.
Copilot is expensive based on recent pricing for our POC.
They have discounts and also provide promotions for a three-year reservation which comes with significant discounts on the infrastructure part.
In GCP, there's a custom configuration feature unlike AWS and Azure.
What I like the most about Google Compute Engine is SSH access and the different price categories.
Power BI, another feature of Azure, is extremely elegant and has robust features that support forecasting using R and Python.
If Microsoft gives a report, such as a server performance report in a detailed way, which shows what is consuming more CPU, memory, and disk IO, and network utilization during a particular time, it would be helpful to visualize that information.
What is very interesting in terms of scalability is the automatic possibilities to provision some new machines to be able to absorb the number of users we have in the system.
| Product | Mindshare (%) |
|---|---|
| Microsoft Azure | 9.0% |
| Google Compute Engine | 1.3% |
| Other | 89.7% |

| Company Size | Count |
|---|---|
| Small Business | 5 |
| Midsize Enterprise | 4 |
| Large Enterprise | 8 |
| Company Size | Count |
|---|---|
| Small Business | 141 |
| Midsize Enterprise | 54 |
| Large Enterprise | 151 |
Google Compute Engine provides scalable virtual machines for hosting applications and services with integration into Google's ecosystem. Offering cost-saving options and customizable machine configurations, it supports high availability, effective migration, and flexible resource allocation.
Google Compute Engine stands out by offering seamless integration with Google services and cost-effective options such as Spot VMs and auto-scaling. With SSH access, customizable machine configurations, managed instance groups, and robust API integration, it provides a powerful platform. Enhanced by comprehensive documentation, it supports businesses in their cloud computing and storage requirements. While it is a robust solution, enhancements are needed in SQL query construction, user interface for non-tech users, multi-region support, and container deployment UI. Simplification of security setups and licensing processes, including BYOL, and improvements in hardware availability outside North America could enhance functionality further. Users benefit from its networking capabilities across multiple regions and features like instance templates and managed instances for consistent configurations and high availability, making it a reliable solution for testing, disaster recovery, and migrating workloads from on-premises environments.
What are the key features of Google Compute Engine?In industries such as technology and e-commerce, Google Compute Engine facilitates rapid deployment of virtual machines for hosting applications and services. It supports efficient testing, disaster recovery operations, and workload migration, making it a valuable asset in dynamic business environments that demand reliable cloud solutions.
Microsoft Azure is a versatile cloud platform known for its scalability, flexibility, and ease of use, offering comprehensive solutions like virtual machines, identity management, and data storage with robust security measures and global data centers.
Azure provides a straightforward setup with dynamic scaling and seamless integration with existing tools. Its robust security, compliance with privacy laws, and global data center presence make it a trusted choice for enterprises. With features supporting DevOps, IoT, AI/ML, and hybrid cloud environments, Azure facilitates efficient cloud migration and modernization, enhancing operational efficiency.
What are some of the key features of Microsoft Azure?Organizations primarily use Azure for infrastructure services, application hosting, and data management across industries such as finance, healthcare, and retail. Resellers deploy cloud services for clients in private, public, and hybrid clouds, supporting enterprise applications and digital transformation projects.
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