

Red Hat OpenShift and Google Cloud compete in the cloud platform space, offering various solutions for enterprises. Google Cloud seems to have the upper hand due to its simplicity, scalability, and integration with AI and machine learning tools.
Features: Red Hat OpenShift offers fast CI/CD capabilities, strong integration with Jenkins and S2i for container customization. It supports application deployment using YAML with Docker and provides robust tools for configuration management and security. Google Cloud emphasizes simplicity and flexibility with fully managed services, focusing on ease of use, scalability, and integration with popular AI and machine learning tools.
Room for Improvement: Red Hat OpenShift needs better documentation for unique features like source-to-image, more clarity in its security model and debugging processes, and simpler scaling functionalities. Google Cloud could enhance its monitoring and reporting capabilities, improve platform integration, and offer better analytics tools for detailed data handling.
Ease of Deployment and Customer Service: Red Hat OpenShift supports a variety of deployment environments, including on-premises and private cloud setups, offering comprehensive control but with some complexity. Its technical support is strong but can experience delays. Google Cloud is noted for easy deployment in public and hybrid cloud setups, with a user-friendly interface and faster setup. Its customer service is positively viewed although improvements in global reach and speed of support are desired.
Pricing and ROI: Red Hat OpenShift is considered high-priced, especially with licensing and support costs, but delivers value through scalability and stability for enterprise applications. The ROI is seen in improved productivity and shorter time to market. Google Cloud offers competitive, flexible pricing with a pay-as-you-go model, beneficial for startups and enterprises. While cost-effective, users suggest further cost reductions and clearer pricing models could enhance its appeal.
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.
I consider them good partners when it comes to support.
We have consulted Google support several times, and we received a quick response.
Google's technical support is highly expert and proficient.
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.
If I had to rate scalability from one to ten, I would rate it a nine as we have never faced any issues with scalability.
Google Cloud is highly scalable, and we have not faced any issues with its scalability.
This solution is suitable for enterprise-level organizations, particularly in finance and healthcare domains where there is substantial data volume.
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.
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.
If the hierarchy or similarities were the same, that would help developers more conveniently migrate from a traditional SQL server to BigQuery.
Providing more hypervisors would be beneficial.
The logging could be improved; there's currently no intuitive way to filter logs on the Google console, especially for individuals who are not familiar with query languages.
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.
As far as I know, it is a little more expensive compared to other cloud options.
Compared to buying new hardware, Google Cloud offers flexible options for scaling up or down, making it more convenient.
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.
The most valuable features of Google Cloud for us are the integration with Kubernetes, IAM, Istio integration, and Terraform capabilities.
If customers use different technologies within their environment, GCP cannot offer a full performance analysis covering all the disclosures.
I find Google Cloud to be more manageable and cost-effective compared to other solutions.
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 | Market Share (%) |
|---|---|
| Red Hat OpenShift | 9.5% |
| Google Cloud | 4.7% |
| Other | 85.8% |


| Company Size | Count |
|---|---|
| Small Business | 41 |
| Midsize Enterprise | 8 |
| Large Enterprise | 32 |
| Company Size | Count |
|---|---|
| Small Business | 17 |
| Midsize Enterprise | 4 |
| Large Enterprise | 42 |
Google Cloud is an Infrastructure as a Service Cloud (IaaS) and Platform as a Service (PaaS) solution that provides infrastructure tools and services for building applications on top of a public cloud computing platform. As one of the leading global infrastructures, this product allows users to securely manage enterprise data, receive valuable insights, and store documents. Google Cloud provides its various services through tools and services for data warehousing, security key enforcement, application programming interface (API) management, artificial intelligence (AI), and machine learning (ML).
The use cases of Google Cloud can be divided into four main categories:
The solution is utilized by organizations of all sizes and industries, as it is suitable for the following purposes:
Google Cloud Features
Google Cloud offers multiple features for its clients. Some of these include:
Google Cloud Benefits
Google Cloud brings various benefits to its users. Some of these include the following:
Reviews from Real Users
Isuru P., an assistant vice president at a tech services company, likes Google Cloud because it is easy to deploy next-generation applications using it.
An IT solutions consultant at a tech services company rates Google Cloud highly because they find the solution stable with a good user experience and a straightforward setup.
Red Hat OpenShift offers a robust, scalable platform with strong security and automation, suitable for container orchestration, application deployment, and microservices architecture.
Designed to modernize applications by transitioning from legacy systems to cloud-native environments, Red Hat OpenShift provides powerful CI/CD integration and Kubernetes compatibility. Its security features, multi-cloud support, and source-to-image functionality enhance deployment flexibility. While the GUI offers user-friendly navigation, users benefit from its cloud-agnostic nature and efficient lifecycle management. However, improvements are needed in documentation, configuration complexity, and integration with third-party platforms. Pricing and high resource demands can also be challenging for wider adoption.
What are the key features of Red Hat OpenShift?Red Hat OpenShift is strategically implemented for diverse industries focusing on container orchestration and application modernization. Organizations leverage it for migrating applications to cloud-native environments and managing CI/CD pipelines. Its functionality facilitates efficient resource management and microservices architecture adoption, supporting enterprise-level DevOps practices. Users employ it across cloud and on-premises platforms to drive performance improvements.
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