Google Kubernetes Engine vs HPE Ezmeral Container Platform comparison

"Regarding deployment in the cloud platform, it is simple because there are pre-configured configurations."

"The most valuable aspect of Google Kubernetes Engine (GKE) is its managed nature, which significantly reduces the burden on our platform team."

"The initial setup process is simpler and more user-friendly than other cloud providers."

"The solution is available across AWS, GCP and Azure and is seamless."

"Before using this solution, it was a lot of manual tasks and a lot of people participated in the process."

"The main advantage of GKE is that it is a managed service. This means that Google is responsible for managing the master node in the Kubernetes cluster system. As a result, we can focus on deploying applications to the slaves, while Google handles any updates and security patches. The fact that GKE is fully integrated into the Google ecosystem, including solutions such as BigQuery and VertexAI. This makes it easier for us to integrate these tools into our process. This integration ultimately speeds up our time to market and reduces the time and effort spent on managing infrastructure. The managed aspect of GKE allows us to simply deploy and utilize it without having to worry about the technicalities of infrastructure management."

"Stability-wise, this solution is really good."

"The solution is more user-friendly than AWS or Azure. I can also easily scale out the service in the future when the number of customers grows. GKE is the leader of Kubernetes service and it can be easily updated. I love the tool's user interfaces."

"If customers focus on primary apps or if they are using them for data science, this is a good solution."

"The stability of the HPE Ezmeral Container Platform is good, and I rate it an eight out of ten."

"The solution does not have a visual interface."

"The product’s visible allocation feature needs improvement."

"I think that security is an important point, and there should be additional features for the evaluation of data in containers that will create a more secure environment for usage in multi-parent models."

"I would rate the scalability a seven out of ten."

"I would like the solution to integrate with another Kubernetes product. I would also like it to monitor other platforms. It needs to also include scale-up container in the tool's next release."

"The console for this solution could be improved because it is very limited."

"We would like to see some improvement in the ease of integration with this solution."

"There is room for improvement in the cluster updates process. Specifically, when managing both non-production and production clusters, we need a sequential functionality."

"HPE Ezmeral Container Platform is not user-friendly and has many parts that are more difficult than Cloudera. It is also a complex solution and has low features for data management."

"The modernization in Ezmeral could be improved."

"I would rate Kubernetes' pricing four out of five."

"This is an open source solution, so there is no pricing or licensing."

"Its pricing is good. They bill us only per user. That's nice."

"The solution's price is reasonable."

"We are planning to use external support, and hire a commercial partner for it."

"Pricing is a bit expensive compared to some other products, but it's acceptable."

"The pricing for GKE is dependent on the type of machine or virtual machine (VM) that is selected for the nodes in the cluster. There is a degree of flexibility in choosing the specifications of the machine, such as the number of CPUs, GPUs, and so on. Google provides a variety of options, allowing the user to create the desired cluster composition. However, the cost can be quite steep when it comes to regional clusters, which are necessary for high availability and failover. This redundancy is crucial for businesses and is required to handle an increase in requests in case of any issues in one region, such as jumping to a different region in case of a failure in the Toronto region. While it may be tempting to choose the cheapest type of machines, this may result in a limited capacity and user numbers, requiring over-provisioning to handle additional requests, such as those for a web application."

"It is competitive, and it is not expensive. It is almost competitive with AWS and the rest of the cloud solutions. We are spending around 3K USD per month. There are four projects that are currently running, and each one is incurring a cost of around 3K USD."