HCL Unica is available as a cloud or on-premise solution that provides fully integrated marketing automation software for enterprise. It includes enterprise marketing automation tools that optimize marketing activities, to ensure excellent customer experiences and data privacy.
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Red Hat OpenShift
Score 9.2 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.
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
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.
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.
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.
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.
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.
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.
OpenShift is really easy of use through its management console. OpenShift gives a very large flexibility through many inbuilt functionalities, all gathered in the same place (it's a very convenient tool to learn DevOps technics hands on) OpenShift is an ideal integrated development / deployment platform for containers
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.
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.
- 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.
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.
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.
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
All of the above. Red Hat OpenShift going into a developer-type setting can be stood up very quickly. There's a very short period to have developers onboard to it and they're able to become productive much faster than a grow your own type solution.
