OpenShift is Red Hat's Cloud Computing Platform as a Service (PaaS) offering. OpenShift is an application platform in the cloud where application developers and teams can build, test, deploy, and run their applications.
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Portainer
Score 9.6 out of 10
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Portainer is a centralized container management platform for containerized apps and IoT device management. It helps accelerate container adoption and reduce time-to-value on Kubernetes, Docker, and Swarm with a management portal, allowing users to deliver and manage containerized applications from the data center to the edge. Portainer helps - Reduce the operational complexity associated with multi-cluster management Bridge the skills gap and facilitate feature…
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Pricing
Red Hat OpenShift
Portainer
Editions & Modules
No answers on this topic
Portainer Business - 3 Nodes Free
$0
Home & Student
$149
per year
Starter
$995
per year
Professional
$2995
per year
Enterprise
Contact Sales for Pricing
per year
Offerings
Pricing Offerings
Red Hat OpenShift
Portainer
Free Trial
Yes
Yes
Free/Freemium Version
Yes
Yes
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
Optional
Additional Details
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More Pricing Information
Community Pulse
Red Hat OpenShift
Portainer
Features
Red Hat OpenShift
Portainer
Platform-as-a-Service
Comparison of Platform-as-a-Service features of Product A and Product B
Red Hat OpenShift
8.2
Ratings
3% above category average
Portainer
-
Ratings
Ease of building user interfaces
8.40 Ratings
00 Ratings
Scalability
9.20 Ratings
00 Ratings
Platform management overhead
7.80 Ratings
00 Ratings
Workflow engine capability
7.90 Ratings
00 Ratings
Platform access control
8.30 Ratings
00 Ratings
Services-enabled integration
8.30 Ratings
00 Ratings
Development environment creation
8.50 Ratings
00 Ratings
Development environment replication
8.40 Ratings
00 Ratings
Issue monitoring and notification
7.80 Ratings
00 Ratings
Issue recovery
7.50 Ratings
00 Ratings
Upgrades and platform fixes
8.30 Ratings
00 Ratings
Container Management
Comparison of Container Management features of Product A and Product B
Red Hat OpenShift, despite its complexity and overhead, remains the most complete and enterprise-ready Kubernetes platform available. It excels in research projects like ours, where we need robust CI/CD, GPU scheduling, and tight integration with tools like Jupyter, OpenDataHub, and Quiskit. Its security, scalability, and operator ecosystem make it ideal for experimental and production-grade AI workloads. However, for simpler general hosting tasks—such as serving static websites or lightweight backend services—we find traditional VMs, Docker, or LXD more practical and resource-efficient. Red Hat OpenShift shines in complex, container-native workflows, but can be overkill for basic infrastructure needs.
Many developers, especially lesser experienced developers, don't have a really good background in setting up containers from the command line. Portainer is invaluable to them. Giving a UI to them gives them much more confidence and allows them to learn properties and capabilities of containers under far less stress. On the flip side of this, giving then a UI on a production system can lead to chaos...never give junior developers access to production servers.
One thing is the way how it works with the GitHubs model on an enterprise business, how the hub and spoke topology works. Hub cluster topology works the way how there is a governance model to enforce policies. The R back models, the Red Hat OpenShift virtualization that supports the cube board and developer workspace is one big feature within. So yes, these are all some features I would call out.
Separating server maintenance with application development, providing a clear user interface for developers who don't want to worry about the underlying server.
RBAC for container deployment linked to a SAML IDP, not something particularly easy in a native Docker instance but point and shoot in Portainer, allowing the use of Azure / Okta etc to provide user access.
Image management with multiple repositories is super clear and reduces incidents
So I don't know that this is a specific disadvantage for Red Hat OpenShift. It's a challenge for anything that Kubernetes face is. There's an extremely large learning curve associated with it and once you get to the point where you're comfortable with it, it's really not bad. But beating that learning curve is a challenge. I've done a couple presentations on our implementation of Red Hat OpenShift at various conferences and one of the slides I always have in there is a tweet from years ago that said, "I tried to teach somebody Kubernetes once. Now neither of us knows what it is."
Lack of granular RBAC control: While Portainer does have role-based access control (RBAC) features, they are not as granular as some users would like. Some users have reported that they would like to have more control over permissions for individual users or groups. This would enable more fine-grained control over who has access to which containers or clusters.
Limited support for non-Docker container technologies: While Portainer is primarily designed to manage Docker containers, it does have some limited support for other container technologies like Kubernetes and Docker Swarm. However, this support is not as robust as it is for Docker, and some users have reported that they would like to see better support for other container technologies.
Limited control over container networking: Portainer's networking features are somewhat limited compared to other container management tools. Some users have reported that they would like more control over container networking, including the ability to create custom networks and control IP addresses.
This is the current strategy for the company, most of the products in the organisation are aligning to Openshift and various use cases it support. Also lot of applications are being developed for AI use case, openshift.AI provides opportunity to host and leverage the AI capabilities for these applications
The virtualization part takes some getting used to it you are coming from a more traditional hypervisor. Customization options are not intuitive to these users. The process should be more clear. Perhaps a guide to Openshift Virtualization for users of RHV, VMware, etc. would ease this transition into the new platform
Accessibility for Non-Experts: even with some people having a bit longer on-boarding it is still very simple Quick setup is insanely useful, we can get it running in 10 seconds after installing docker Portainer has once again super clean UI and is very user friendly. Deployment/monitoring and management are super easy. I can tell just from a glance if something is out of date (watching at you Watchtower not doing your job for some reason)
Redhat openshift is generally reliable and available platform, it ensures high availability for most the situations. in fact the product where we put openshift in a box, we ensure that the availability is also happening at node and network level and also at storage level, so some of the factors that are outside of Openshift realm are also working in HA manner.
Overall, this platform is beneficial. The only downsides we have encountered have been with pods that occasionally hang. This results in resources being dedicated to dead or zombie pods. Over time, these wasted resources occasionally cause us issues, and we have had difficulty monitoring these pods. However, this issue does not overshadow the benefits we get from Openshift.
Every time we need to get support all the Red Hat team move forward looking to solve the problem. Sometimes this was not easy and requires the scalation to product team, and we always get a response. Most of the minor issues were solved with the information from access.redhat.com
One of their staff members jumped on a video call immediately with me and led me through the problem and solution during a quick session of screen sharing. In this day and age that is above and beyond, especially when it comes to software. It took approximately 5-10 minutes to diagnose and fix, including pleasantries!
I was not involved in the in person training, so i can not answer this question, but the team in my org worked directly with Openshift and able to get the in person training done easily, i did not hear problem or complain in this space, so i hope things happen seamlessly without any issue.
We went thru the training material on RH webesite, i think its very descriptive and the handson lab sesssions are very useful. It would be good to create more short duration videos covering one single aspect of openshift, this wll keep the interest and also it breaks down the complexity to reasonable chunks.
We utilized the Thycotic Secret Service to manage all our application secrets, resulting in seamless integration with our applications. We developed all the applications using Red Hat Fuse (currently migrated to Quarkus). We used the built-in Kali Linux support of OpenShift to manage and configure the services and API. Additionally, the Red Hat Developer Studio facilitates faster development.
Portainer takes the cup in terms of usability and features. It is also more useful for smaller deployments, whereas Kubernetes in our opinion and experience, could probably be more suited to certain other use cases. Portainer is also a fresh feel among all the preexisting container management solutions and brings positivity and a new breeze in the industry.
This is a great platform to deployment container applications designed for multiple use cases. Its reasonably scalable platform, that can host multiple instances of applications, which can seamlessly handle the node and pod failure, if they are configured properly. There should be some scalability best practices guide would be very useful
It has allowed us to see where we need to be in the container world. I'm going to call it a net neutral impact, not negative or positive. It has given us a sense of what we are ready for and what we're not ready for. You know where you stand.
You don't know what you don't know, so it helps us know what we want to know.
Instead of having 1 senior who does all the setup, debugging and caretaking of "all things docker" we now split the load on basically everyone in the team. Hard to put into direct numbers but with everyone helping themselves, noone alone is forced into that position "because you know how to do it" and overall we're more productive