


Find out what your peers are saying about Microsoft, Amazon Web Services (AWS), Red Hat and others in PaaS Clouds.
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.
With OpenShift combined with IBM Cloud App integration, I can spin an integration server in a second as compared to traditional methods, which could take days or weeks.
Moving to OpenShift resulted in increased system stability and reduced downtime, which contributed to operational efficiency.
It is always advisable to get the bare minimum that you need, and then add more when necessary.
Reaching out to them and talking is different from receiving a complete solution to your problem.
We have a direct line to Amazon AWS, with premium support and AWS members located within the company.
Amazon AWS has good technical engineers available, making their customer service reliable.
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.
Red Hat's technical support is responsive and effective.
Customer support is really good because so far in our case, we have always received a prompt response, and they have been really helpful to us.
I have been pretty happy in the past with getting support from Red Hat.
The scalability of Amazon AWS is excellent.
Amazon AWS provides strong scalability features, but the scaling process could be made more straightforward.
When setting up resources, the maximum limit can go high or low, at which time instances are increased, which helps maintain latency standards.
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 on-demand provisioning of pods and auto-scaling, whether horizontal or vertical, is the best part.
OpenShift's horizontal pod scaling is more effective and efficient than that used in Kubernetes, making it a superior choice for scalability.
Red Hat OpenShift scales excellently, with a rating of ten out of ten.
If I am spinning up any managed service from the console, sometimes it fails to start up, and there will be no information about why it failed.
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.
It provides better performance yet requires more resources compared to vanilla Kubernetes.
I've had my cluster running for over four years.
It performs well under load, providing the desired output.
Amazon AWS could improve its user interface to make it more user-friendly, especially for people who are not highly technical.
When using scripts for APIs to fetch data, they don't match the data exactly with the request.
If I create a Glue job, that will create S3 buckets and other resources that have cost implications, but once I clean up a Glue job, it does not delete the other accessory resources.
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.
Learning OpenShift requires complex infrastructure, needing vCenter integration, more advanced answers, active directory, and more expensive hardware.
Red Hat OpenShift's biggest disadvantage is they do not provide any private cloud setup where we can host on our site using their services.
We should aim to include VMware-like capabilities to be competitive, especially considering cost factors.
After three to four years, if you are not managing it correctly, you will be paying more than an on-premise solution, which applies to all cloud providers, so you must regularly maintain and manage for efficiency.
Currently, Amazon AWS is known to be on the higher price range because popular and in-demand services often come at a premium.
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.
Initially, licensing was per CPU, with a memory cap, but the price has doubled, making it difficult to justify for clients with smaller compute needs.
The pricing for Red Hat OpenShift is considered quite high.
Red Hat can improve on the pricing part by making it more flexible and possibly on the lower side.
Amazon AWS provides IAM features for user access management as well as KMS through key management service with private and public key encryption methodology.
Amazon AWS offers flexibility and scalability.
One aspect I appreciate in Amazon AWS is their support team, which is excellent.
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.
Because it was centrally managed in our company, many metrics that we had to write code for were available out of the box, including utilization, CPU utilization, memory, and similar metrics.
The concept of containers and scaling on demand is a feature I appreciate the most about Red Hat OpenShift.
A valuable feature of Red Hat OpenShift is its ability to handle increased loads by automatically adding nodes.
| Product | Mindshare (%) |
|---|---|
| Microsoft Azure | 14.5% |
| Amazon AWS | 13.6% |
| Red Hat OpenShift | 8.2% |
| Other | 63.7% |



| Company Size | Count |
|---|---|
| Small Business | 131 |
| Midsize Enterprise | 48 |
| Large Enterprise | 114 |
| Company Size | Count |
|---|---|
| Small Business | 140 |
| Midsize Enterprise | 54 |
| Large Enterprise | 149 |
| Company Size | Count |
|---|---|
| Small Business | 17 |
| Midsize Enterprise | 4 |
| Large Enterprise | 43 |
Amazon Web Services (AWS) is an adopted cloud platform that offers more than 200 fully featured services from data centers located across the globe. This is a scalable, low-cost infrastructure platform in the cloud that is utilized by thousands of businesses of different sizes around the world. The product offers a wide variety of solutions for its customers, which allows them to launch applications regardless of their industry.
The most common use cases for AWS are:
Amazon AWS supports a global cloud infrastructure with AWS Region and Availability Zone models, which contribute to the high availability of enterprise applications running on the solution. Amazon AWS has an extensive array of products that serve different purposes, including:
The products and services that Amazon AWS delivers to these sectors provide a large computing capacity which is quicker and cheaper compared to building a physical server farm. Among the most popular services are Amazon Elastic Compute Cloud, also known as "EC2," and Amazon Simple Storage Service, also known as "S3."
Amazon AWS Features
The wide array of products that Amazon AWS offers consist of different functions that utilize cloud computing across different sectors. The features of this solution can be categorized in the following ways:
Amazon AWS Benefits
This product delivers various benefits across all industries that utilize its services. The greatest advantages of using Amazon AWS include:
Reviews from Real Users
Greg G., a chief executive officer at a tech services company, ranks Amazon AWS highly, as he states that the solution is flexible, scales well, and offers good stability.
A technology manager technology at a computer software company values Amazon AWS because it is extremely cost-efficient, easy to upgrade and expand storage with greatly improved interfaces.
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.
Red Hat OpenShift is a comprehensive platform offering versatile container orchestration capabilities, suitable for businesses seeking robust, scalable, and secure solutions for application modernization efforts and microservices deployment.
Red Hat OpenShift combines a user-friendly interface with powerful CLI tools, ensuring rapid deployment and process automation. It seamlessly integrates with Docker and Kubernetes, providing cloud-native stacks for flexibility and compliance. Enhancing development efficiency, OpenShift includes built-in CI/CD tools and dynamic scaling features. It supports multi-cloud environments, avoiding vendor lock-in. However, documentation gaps, interface complexity, and infrastructure demands present challenges, alongside improving integration with third-party tools and monitoring capabilities. Licensing complexities and resource consumption remain areas for improvement, with user experience varying due to support response times.
What are Red Hat OpenShift's key features?In industries embracing cloud-native architectures, Red Hat OpenShift is adept for hosting containerized applications and transitioning legacy systems. It excels in managing DevOps processes, supporting production and development in sectors such as finance, healthcare, and technology, ensuring robust hybrid on-premise and cloud operations.