IBM Z is the company's mainframe enterprise server solution product line.
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Microsoft Azure
Score 8.4 out of 10
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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
Pricing
IBM Z
Microsoft Azure
Editions & Modules
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Developer
$29
per month
Standard
$100
per month
Professional Direct
$1000
per month
Basic
Free
per month
Offerings
Pricing Offerings
IBM Z
Microsoft Azure
Free Trial
No
Yes
Free/Freemium Version
No
Yes
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
Optional
No setup fee
Additional Details
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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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Community Pulse
IBM Z
Microsoft Azure
Features
IBM Z
Microsoft Azure
Infrastructure-as-a-Service (IaaS)
Comparison of Infrastructure-as-a-Service (IaaS) features of Product A and Product B
Most of the time, server utilization is reliable and stable during peak times. Truly amazing, this product offers a lot and gets it done in no time without any confusion.It is reliable, too accurate and the performance is top-notch. It seems to be competitive in all virtual energy systems and its connectivity is also good. It's available at a low cost, but it's enough to have as many low-cost, more efficient systems as possible. It's a minor thing, but very rarely, it can cause work interruptions while it can get stuck due to more frequent use such as restless work. These power servers are very efficient and really help when things go wrong. I am using this product to retrieve data much faster.
Azure is particularly well suited for enterprise environments with existing Microsoft investments, those that require robust compliance features, and organizations that need hybrid cloud capabilities that bridge on-premises and cloud infrastructure. In my opinion, Azure is less appropriate for cost-sensitive startups or small businesses without dedicated cloud expertise and scenarios requiring edge computing use cases with limited connectivity. Azure offers comprehensive solutions for most business needs but can feel like there is a higher learning curve than other cloud-based providers, depending on the product and use case.
Microsoft Azure is highly scalable and flexible. You can quickly scale up or down additional resources and computing power.
You have no longer upfront investments for hardware. You only pay for the use of your computing power, storage space, or services.
The uptime that can be achieved and guaranteed is very important for our company. This includes the rapid maintenance for security updates that are mostly carried out by Microsoft.
The wide range of capabilities of services that are possible in Microsoft Azure. You can practically put or create anything in Microsoft Azure.
The cost of resources is difficult to determine, technical documentation is frequently out of date, and documentation and mapping capabilities are lacking.
The documentation needs to be improved, and some advanced configuration options require research and experimentation.
Microsoft's licensing scheme is too complex for the average user, and Azure SQL syntax is too different from traditional SQL.
The IBM Z mainframe capabilities are unmatched for cloud readiness and optimization the learning capabilities are matched perfectly with Watson and the expandability of the cloud makes it a perfect choice.
Moving to Azure was and still is an organizational strategy and not simply changing vendors. Our product roadmap revolved around Azure as we are in the business of humanitarian relief and Azure and Microsoft play an important part in quickly and efficiently serving all of the world. Migration and investment in Azure should be considered as an overall strategy of an organization and communicated companywide.
As Microsoft Azure is [doing a] really good with PaaS. The need of a market is to have [a] combo of PaaS and IaaS. While AWS is making [an] exceptionally well blend of both of them, Azure needs to work more on DevOps and Automation stuff. Apart from that, I would recommend Azure as a great platform for cloud services as scale.
Performance is a major part when you configure your system. IBM has many tools to study your system and suggest the appropriate configuration. With the right contract, you can add processing power dynamically and remove it when no longer needed
Support is usually superb, only occasionally dropping to very good. We participate in some of the CD (Continuous Delivery) aspects of z/OS, IMS, MQ, and DB2.
We were running Windows Server and Active Directory, so [Microsoft] Azure was a seamless transition. We ran into a few, if any support issues, however, the availability of Microsoft Azure's support team was more than willing and able to guide us through the process. They even proposed solutions to issues we had not even thought of!
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.
IBM Z is the best storage solution as it provides the best in class data protection with the cryptographic hardware keys, no loss in data while migration, and a user-friendly interface that makes it easy for develops to understand and has less of a learning curve. This makes it well above the competition.
As I continue to evaluate the "big three" cloud providers for our clients, I make the following distinctions, though this gap continues to close. AWS is more granular, and inherently powerful in the configuration options compared to [Microsoft] Azure. It is a "developer" platform for cloud. However, Azure PowerShell is helping close this gap. Google Cloud is the leading containerization platform, largely thanks to it building kubernetes from the ground up. Azure containerization is getting better at having the same storage/deployment options.
If you need more processing power, just add more CPU's or memory. The largest system can have close to 200 CPU's and 40 TB of memory. If that is not enough, you can add more physical computers, and connect them using a sysplex
For about 2 years we didn't have to do anything with our production VMs, the system ran without a hitch, which meant our engineers could focus on features rather than infrastructure.
DNS management was very easy in Azure, which made it easy to upgrade our cluster with zero downtime.
Azure Web UI was easy to work with and navigate, which meant our senior engineers and DevOps team could work with Azure without formal training.
