Red Hat JBoss SOA Platform drives business execution, responsiveness, and flexibility in an open platform. It delivers what the vendor describes as an easy-to-consume service-oriented architecture (SOA) integration suite that lets users build, deploy, integrate, and orchestrate applications and services.
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Red Hat OpenShift
Score 9.3 out of 10
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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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Pricing
JBoss SOA Platform
Red Hat OpenShift
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
JBoss SOA Platform
Red Hat OpenShift
Free Trial
No
Yes
Free/Freemium Version
No
Yes
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
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More Pricing Information
Community Pulse
JBoss SOA Platform
Red Hat OpenShift
Features
JBoss SOA Platform
Red Hat OpenShift
SOA Governance
Comparison of SOA Governance features of Product A and Product B
JBoss SOA Platform
7.6
Ratings
13% above category average
Red Hat OpenShift
-
Ratings
Service registry
7.00 Ratings
00 Ratings
Service management
6.00 Ratings
00 Ratings
Service discovery
7.00 Ratings
00 Ratings
Dependency management
9.00 Ratings
00 Ratings
Policy management
9.00 Ratings
00 Ratings
Platform-as-a-Service
Comparison of Platform-as-a-Service features of Product A and Product B
JBoss Enterprise SOA Platform is great when you are looking at building more or less pure Java applications and SOA micro-services that may integrate with multiple external data sources. It is less useful when you are looking to build simple SOA applications that are simple in nature since the overhead associated with deploying as well as learning BPEL.
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.
JBoss is open source so the cost overhead to deploy and build application is very low.
JBoss Enterprise SOA Platform and its parent Redhat are reputed and well adapted in the industry so it is easy to find best practices documentation for complex deployments of JBoss middleware.
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.
JBoss Enterprise SOA Platform is dependent and build for JEE/Java application so using a different programming paradigm will be much harder.
There is still a learning curve to get familiar with BPEL making it harder to get an SOA micro-service up and running compared to a fully cloud-based service
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."
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
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.
Redhat support generally is great and that is true for the JBoss Enterprise SOA Platform as well. Even if you do not buy support from Redhat, you can reply on the discussion board and bug fixes via the open-source JBoss without much trouble.
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
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.
Oracle SOA Suite (Oracle BPM + Oracle BPEL + other components) and IBM WebSphere middleware is most costly and suited if you are already using applications and other middleware components from these vendors. Mulesoft (Salesforce Mule ESB) is best when you need deep integration with one of Salesforce's existing products. JBoss and Apache Web Server are best when you do not want to invest infant CapEx/OpEx on license fee. Apache Web Server based middleware is best for simple SOA applications.
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.
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.