Microsoft Azure and Google App Engine compete in the cloud computing category, offering diverse features for deployment and management. Microsoft Azure appears to have the upper hand with its extensive feature set and strong ROI potential, although it faces challenges in user complexity.
Features: Microsoft Azure provides a vast array of features including flexibility, scalability through easy provisioning, and cost management with automated connectors to critical systems. It also offers disaster recovery solutions like Azure Site Recovery, benefiting comprehensive cloud and hybrid setups. Google App Engine simplifies application deployment, offering scalability without requiring user-managed infrastructure, though it is limited in database options and language support.
Room for Improvement: Microsoft Azure is complex, requiring expertise to navigate its frequently changing features. Pricing models can be confusing, and technical support varies, with users looking for better integration and feature parity with competitors like AWS. Google App Engine needs improvements in customization capabilities due to its sandbox environment, as well as enhancements in user interface and technical support to better serve users.
Ease of Deployment and Customer Service: Microsoft Azure is valued for its comprehensive documentation. However, experiences with technical support are mixed, with some users noting responsiveness and others suggesting improvements. Google App Engine is praised for its straightforward deployment process within Google's ecosystem, although customer service requires clearer communication and better regional support.
Pricing and ROI: Microsoft Azure offers competitive rates and flexible pricing, although cost-effectiveness perceptions vary by usage and region. Users see robust ROI from its cloud capabilities but desire more transparent pricing. Google App Engine’s pay-as-you-go model benefits low-use tiers but can become costly for expanding apps. ROI varies based on integration extent and feature utilization across both services.
Once we deployed this same application as part of Google App Engine, the cost drastically reduced to just $120 for the small instance we use for our development.
Operationally, it was efficient for us because we could easily spin up new versions to demonstrate new functionality without modifying the original environment.
I have noticed a return on investment in terms of less maintenance, but it depends on the organization's standard deployment preferences.
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.
They route us toward the appropriate team handling Google App Engine or other services, so when there is an issue, the respective team connects and provides support.
The technical support was very quick and responsive, with a direct team line available.
Technical support for Google App Engine is efficient and offers a brilliant solution.
The support from Microsoft Azure is good.
Regarding technical support from Microsoft, I find they are responsive and helpful, depending on which support package you're on.
I rate technical support as excellent because we have not experienced many problems when calling for assistance.
I would rate the scalability as nine out of ten, appreciating its design that does not require much attention to scaling configurations or costs.
Google App Engine scales well in the standard environment, which automatically handles traffic without manual scaling.
Google App Engine is highly scalable and can integrate easily with other applications.
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.
Scalability with Microsoft Azure is amazing, which is a primary reason for using cloud solutions.
I have not experienced any crashing or instability with Google App Engine.
However, large code bases can still cause it to slow down.
I would rate the stability of Google App Engine a perfect 10 out of 10, as it is completely managed by Google.
Microsoft Azure is quite stable, but recent outages and security issues have slightly decreased my confidence.
It would be beneficial if Flex services could scale down to zero instances during periods of no traffic.
The pricing is higher compared to alternatives like Kubernetes and Compute Engine.
In the Flex environment, SSH access is not available for private instances.
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.
For F1 usage with 256 MB, it is free.
My GCP billing is about 10 lakh INR per month, and Google App Engine contributes only 25,000 to 30,000 INR.
The pricing of Google App Engine largely depends on the features chosen; if we opt for the standard edition, it is less expensive, while the flexible option incurs more costs due to always having an instance running.
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.
Regarding the pricing for Microsoft Azure services, I would rate our satisfaction as very good.
The solution offers scalability, autoscaling based on user demand, and security, as Google manages all updates and security patches.
Google App Engine offers a cloud-based solution for free, especially for Java, making it a cost-effective option compared to expensive VMs.
I also appreciate the Google App Engine standard environment because it handles traffic scaling without manual intervention.
Power BI, another feature of Azure, is extremely elegant and has robust features that support forecasting using R and Python.
Data integrations are particularly effective on Microsoft Azure, especially with our banner services that we automate through Power Automate.
Microsoft Azure's scalability feature obviously supports business growth by scaling with the growth of the business, which is great, and it also scales with your requirements and aligns with your data strategies.
Google App Engine is a Platform-as-a-Service (Paas) provider that equips web application developers with all the resources and tools that they need to develop, test, and run their applications on Google's infrastructure. Everything is built into the kit, so with one download of the SDK, you'll be well on your way to first-rate apps.
Microsoft Azure integrates services and offers flexibility, ensuring compatibility with diverse environments. Its scalability, security, and cost-efficient features enhance deployment and management, making it ideal for infrastructure services and application hosting.
Azure provides a comprehensive suite of tools for application deployment, virtual machine management, and data analytics. It allows seamless integration with Power BI and offers a user-friendly interface supported by detailed documentation and technical support. Though users appreciate its capabilities, they sometimes face challenges with costs, setup, and interface complexity, alongside integration and performance issues. Frequent updates and a learning curve are also noted, though Azure's cloud-based security and scalability remain critical for disaster recovery and business continuity.
What are Azure's key features?Microsoft Azure is widely implemented in industries like financial services, healthcare, and logistics for hosting enterprise applications and vital services. Companies utilize its capabilities for IoT applications, DevOps, and Kubernetes clusters, benefiting from its cloud migrations, data analytics, and active directory support.
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