HCL Unica vs. Kubernetes vs. Red Hat OpenShift

I think it is wel suited for a business with a lot of one on one relations in the database. For example a supermarket that sells products to a client and gives a reduction on that product. It is nice if the selection process is not to complex and does not involve to many calculations. It is also nice if it is very clear what you want to follow up. In our environment we have lots of many-to-many relations. for example one product is held by more then one client. And that client might have more of those products with other clients. These kind of situation demands for a lot of calculations with derived fields(*), and there things go far too slow. Unica is probably not such a good solution for us, because our environment is too complex, and so is to process of creating the selection, we often have to change things in the selection flows. Because of the complexity it is difficult to see what the flow is exactly doing afterwoods, it also takes to much time to modify existing campaigns. The interface is not handy to work with, if you have long lists of variables, of tables or derived fields(*) you have to scroll through trough them, you can not really search them or reorder them. You can not drag and drop fields or other objects like derived fields in the flow, what would be easy if you have to make frequent changes to the proces flow. When you copy objects something the content of the object changes because the links with other objects or lost. (*) derived field: field to calculate something

K8s should be avoided - If your application works well without being converted into microservices-based architecture & fits correctly in a VM, needs less scaling, have a fixed traffic pattern then it is better to keep away from Kubernetes. Otherwise, the operational challenges & technical expertise will add a lot to the OPEX. Also, if you're the one who thinks that containers consume fewer resources as compared to VMs then this is not true. As soon as you convert your application to a microservice-based architecture, a lot of components will add up, shooting your resource consumption even higher than VMs so, please beware. Kubernetes is a good choice - When the application needs quick scaling, is already in microservice-based architecture, has no fixed traffic pattern, most of the employees already have desired skills.

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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.

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• Ability to translate Multiple SQL queries into a very easy to use visual GUI.
• Provides the ability to pre-define segments, run them once in off hours, store them in their own system tables for quick youth and a significant reduction in CPU utilization on the database.
• It’s use of Reusable objects. Including user variables to pre-define calculations one time, macros that you can create and pass values to parameterize the SQL code And the creation of templates to easily replicate work.
• It’s ability to bring in external data on the fly that can very easily be mapped into any flowchart.
• It’s flexibility and creating UNIX script via triggers to automate sending of files to multiple vendors with different FTP sites
• It’s flexibility in the output layouts that it can create.

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• Complex cluster management can be done with simple commands with strong authentication and authorization schemes
• Exhaustive documentation and open community smoothens the learning process
• As a user a few concepts like pod, deployment and service are sufficient to go a long way

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• We had a few microservices that dealt with notifications and alerts. We used OpenShift to deploy these microservices, which handle and deliver notifications using publish-subscribe models.
• We had to expose an API to consumers via MTLS, which was implemented using Server secret integration in OpenShift. We were then able to deploy the APIs on OpenShift with API security.
• We integrated Splunk with OpenShift to view the logs of our applications and gain real-time insights into usage, as well as provide high availability.

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• Greater integration of real time (Interact) capabilities with outbound channels, in particular IBM eMessage Email & SMS delivery.
• Additional outbound channels to be integrated into eMessage, including Facebook Fanpage & Twitter DM broadcasts. At the moment these are possible only through custom additional integration.
• Support for additional marketing database technology, e.g. MySQL, Exasol, ParAccel, WX2.
• Provision of database technology with software purchase, as Web technology (IBM WebSphere Express) is supplied for free, but no database is supplied - since IBM also market DB2, which is a supported technology it seems a shame.

• Local development, Kubernetes does tend to be a bit complicated and unnecessary in environments where all development is done locally.
• The need for add-ons, Helm is almost required when running Kubernetes. This brings a whole new tool to manage and learn before a developer can really start to use Kubernetes effectively.
• Finicy configmap schemes. Kubernetes configmaps often have environment breaking hangups. The fail safes surrounding configmaps are sadly lacking.

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• I wouldn't necessarily say there is look everyday technology transform. I can see a trend wherein Red Hat OpenShift is adopting all the new technology trends and helping their customers align with their priorities and the emerging technology trends. I wouldn't call out various scope for development every day. There is scope for development. It is all how the organizations adopt it and how they deliver it to their customers. I don't want to call out there is scope for development. It's happening. It is a never ending process.
• At the moment, I don't have anything to call out. We are experiencing Red Hat OpenShift and we can see every day they're coming up with new features as and when they come up with new features, we want to experience it more and more. We are looking for opportunities wherein this can be leveraged to help our users and partners.

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There are three main factors to renew a licence: 1) Cost to migrate to another platform would be rather expensive and time consuming, plus the requirement of retraining employees to use a new tool 2) It has been proven time and time again that it is a market leader in the space (10 years +) 3) It can be built upon, with the addition of additional IBM EMM modules - despite theories it does have very strong digital capabilities.

The Kubernetes is going to be highly likely renewed as the technologies that will be placed on top of it are long term as of planning. There shouldn't be any last minute changes in the adoption and I do not anticipate sudden change of the core underlying technology. It is just that the slow process of technology adoption that makes it hard to switch to something else.

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

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Unica provides functionality that is very simple and easy to use. For reporting, we can see Unica system tables. Contact history table, response history tables. We have all the information in one place. Performance-wise, Unica also handles large volumes of data and can run a 5-million-record campaign within minutes. This is something great.

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It is an eminently usable platform. However, its popularity is overshadowed by its complexity. To properly leverage the capabilities and possibilities of Kubernetes as a platform, you need to have excellent understanding of your use case, even better understanding of whether you even need Kubernetes, and if yes - be ready to invest in good engineering support for the platform itself

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As I said before, the obserability is one of the weakest point of OpenShift and that has a lot to do with usability. The Kibana console is not fully integrated with OpenShift console and you have to switch from tab to tab to use it. Same with Prometheus, Jaeger and Grafan, it's a "simple" integration but if you want to do complex queries or dashboards you have to go to the specific console

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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.

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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.

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I didn't use the Unica support since it is with IBM, only before.

Their customer support team is good and quick to respond. On a couple of occassions, they have helped us in solving some issues which we were finding a tad difficult to comprehend. On a rare occasion, the response was a bit slow but maybe it was because of the festival season. Overall a good experience on this front.

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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.

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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.

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- We had to rebuild a part of the datamart afterwards to tighten up and simplify the selection process. But as it was too time consuming to rebuild all the existing campaigns, we no run campaigns on different versions of the datamart. - The response tracking of the campaigns never worked out well, it was impossible to implement a direct response where there is a link between the lead and the response in our operational process

The contact history and the response history are so powerful. You can track whatever you want to help the call center to push relevant offers to our customer. In addition, predictive models can be built, with patience, in IBM Campaign. If you have some complaints from the call center about any campaigns, you can easily validate it into the contact or response history.

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Most of the required features for any orchestration tool or framework, which is provided by Kubernetes. After understanding all modules and features of the K8S, it is the best fit for us as compared with others out there.

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The Tanzu Platform seemed overly complicated, and the frequent changes to the portfolio as well as the messaging made us uneasy. We also decided it would not be wise to tie our application platform to a specific infrastructure provider, as Tanzu cannot be deployed on anything other than vSphere. SUSE Rancher seemed good overall, but ultimately felt closer to a DIY approach versus the comprehensive package that Red Hat OpenShift provides.

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It's easy to understand what are being billed and what's included in each type of subscription. Same with the support (Std or Premium) you know exactly what to expect when you need to use it. The "core" unit approach on the subscription made really simple to scale and carry the workloads from one site to another.

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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

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• It helps my clients drive their business which in turn, drives more profit for them.
• It helps my clients determine what works, and what doesn't work, in terms of their social marketing campaigns.
• It helps navigate proper budgeting through determining what clients' users respond to, and what they find unique.

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• Because of microservices, Kubernetes makes it easy to find the cost of each application easily.
• Like every new technology, initially, it took more resources to educate ourselves but over a period of time, I believe it's going to be worth it.

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• That is a complicated question and one that's not easy for me to answer. There's a lot of factors that go into all of the stuff that we just don't have an easy way of measuring. And we realize that while we're implementing Red Hat OpenShift, we've tried to start measuring some of that stuff, but we don't have a baseline to go on. So it's hard to say. What I can tell you is general experience with the platform has been extremely positive from the development aspect. Teams have been very, very happy with the speed at which they're able to do stuff. They've been happy with that. The way it works in one environment is exactly the way it works in the next environment because we don't have configuration drift, that type of thing, and has had very positive impacts. But we didn't have a baseline to start with. So I can't talk about getting there faster or anything like that.

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