Microsoft Azure is a cloud computing platform and infrastructure for building, deploying, and managing applications and services through a global network of Microsoft-managed datacenters.
$29
per month
Java Cloud
Score 8.1 out of 10
N/A
Oracle offers the Java Cloud Service, a PaaS supporting the fast and easy development of Java applications.
$0.15
Comparison Price (/vCPU)
Pricing
Microsoft Azure
Oracle Java Cloud
Editions & Modules
Developer
$29
per month
Standard
$100
per month
Professional Direct
$1000
per month
Basic
Free
per month
Standard Edition
$0.15485
Comparison Price (/vCPU)
Enterprise Edition
$0.15485
Comparison Price (/vCPU)
High Performance Edition
$0.3871
Comparison Price (/vCPU)
Offerings
Pricing Offerings
Microsoft Azure
Java Cloud
Free Trial
Yes
No
Free/Freemium Version
Yes
No
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
The free tier lets users have access to a variety of services free for 12 months with limited usage after making an Azure account.
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More Pricing Information
Community Pulse
Microsoft Azure
Oracle Java Cloud
Features
Microsoft Azure
Oracle Java Cloud
Infrastructure-as-a-Service (IaaS)
Comparison of Infrastructure-as-a-Service (IaaS) features of Product A and Product B
Actually, migrating to Microsoft Azure is a good solution for almost any situation, especially when all components of your network are ready to become cloud-based. The only drawback I personally encounter frequently is that older software packages cannot always be easily picked up and moved to Microsoft Azure in an optimal manner.
In specific scenarios, we find that Oracle Java Cloud is suitable for agile development projects, high-concurrency applications, and deployments in multi-cloud environments. However, it may not be the best option for very specialized applications that require specific technologies not supported by the platform
Azure simply provides end to end life cycle. Starting from the development to automated deployment, you will find [a] bunch of options. Custom hook-points allow [integration] on-premise resources as well.
Excellent documentation around all the services make it really easy for any novice. Overall support by [the] community and Azure Technical team is exceptional.
BOT Services, Computer Vision services, ML frameworks provide excellent results as compare to similar services provided by other giants in the same space.
Azure data services provide excellent support to ingest data from different sources, ETL, and consumption of data for BI purpose.
In our experience, Azure Kubernetes Survice was difficult to set up, which is why we used Kubernetes on top of VMs.
Azure REST API is a bit difficult to use, which made it difficult for us to automate our interactions with Azure.
Azure's Web UI does a good job of showing metrics on individual VMs, but it would be great if there was a way to show certain metrics from multiple VMs on one dashboard. For example, hard drive usage on our database VMs.
We have been very satisfied with Windows Azure and now a lot of our business depends on it as more teams are now deploying their applications into Azure. Our next step is to have our Infrastructure team move their resources to Azure. It will take awhile for that to happen but we are positive that it will.
Microsoft Azure's overall usability has been better than expected. Often times vendors promise the world, only to leave you with a run-down town. Not the case with our experience. From an implementation perspective, all went perfect, and from the user-facing experience we have had no technical issues, just some learning curve issues that are more about "why" than "how"
Support is easy with all the knowledge base articles available for free on the web. Plus, if you have a preferred status you can leverage their concierge support to get rapid response. Sometimes they’ll bounce you around a lot to get you to the right person, but they are quite responsive (especially when you are paying for the service). Many of the older Microsoft skills are also transferable from old-school on-prem to Azure-based virtual interfaces.
As I have mentioned before the issue with my Oracle Mismatch Version issues that have put a delay on moving one of my platforms will justify my 7 rating.
I feel that Microsoft Azure typically outperforms Google Cloud Platform in hybrid cloud capabilities, integration aspects, and, primarily, security compliance features. Azure offered superior integration with Microsoft's enterprise software ecosystem, and it's second to none in my opinion. This made it the natural choice for most, especially if heavily invested in Windows, Office 365, or Active Directory deployments. We chose Azure over GCP because we simply needed Windows workload support as a strong driver, more access to global regions, and let's not forget that most tech teams in an organization are Microsoft Certified, which makes skillset transfer from on-prem to cloud a minimal learning curve over shifting to a different provider.
Google App Engine is great for Java applications where you are using other Google components already, for example Google GCP, Google BigQuery, etc. Redhat, OpenShift, and Pivotal CloudFounder are great when the application is very complex and includes components that are Java and non-Java based (Python, etc). Amazon AWS is more difficult to configure than Oracle Java Cloud - Oracle Java Cloud has simpler UI.
Times and growth went into it. By balancing on-premises maintenance with continuous cloud improvements, we’ve budgeted and planned endlessly increased capacity.
In today’s world of cyber-crime, clients can put even more faith in what they’ve heard. We built an innovative single-sign-on hub for all users. Also, other business platforms use Azure application gateways, reducing worker switching time and increasing productivity.
Its step can automate to improve the investment. In addition, we can integrate our organization’s credentials into an authorization for other systems.