Cloudera Enterprise Data Hub vs. Red Hat OpenShift

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Cloudera Enterprise Data Hub
Score 9.0 out of 10
N/A
The Cloudera Enterprise Data Hub powered by SDX is a multifunction analytics solution that supports a range of operational and analytic use cases for enterprises.N/A
Red Hat OpenShift
Score 9.3 out of 10
N/A
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.N/A
Pricing
Cloudera Enterprise Data HubRed Hat OpenShift
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Cloudera Enterprise Data HubRed Hat OpenShift
Free Trial
NoYes
Free/Freemium Version
YesYes
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
Cloudera Enterprise Data HubRed Hat OpenShift
Features
Cloudera Enterprise Data HubRed Hat OpenShift
Platform-as-a-Service
Comparison of Platform-as-a-Service features of Product A and Product B
Cloudera Enterprise Data Hub
-
Ratings
Red Hat OpenShift
8.2
Ratings
3% above category average
Ease of building user interfaces00 Ratings8.40 Ratings
Scalability00 Ratings9.20 Ratings
Platform management overhead00 Ratings7.80 Ratings
Workflow engine capability00 Ratings7.90 Ratings
Platform access control00 Ratings8.30 Ratings
Services-enabled integration00 Ratings8.30 Ratings
Development environment creation00 Ratings8.50 Ratings
Development environment replication00 Ratings8.40 Ratings
Issue monitoring and notification00 Ratings7.80 Ratings
Issue recovery00 Ratings7.50 Ratings
Upgrades and platform fixes00 Ratings8.30 Ratings
User Ratings
Cloudera Enterprise Data HubRed Hat OpenShift
Likelihood to Recommend
9.0
(0 ratings)
9.3
(0 ratings)
Likelihood to Renew
8.2
(0 ratings)
8.8
(0 ratings)
Usability
-
(0 ratings)
7.6
(0 ratings)
Availability
-
(0 ratings)
5.5
(0 ratings)
Performance
-
(0 ratings)
8.7
(0 ratings)
Support Rating
-
(0 ratings)
5.3
(0 ratings)
In-Person Training
-
(0 ratings)
7.0
(0 ratings)
Implementation Rating
-
(0 ratings)
8.6
(0 ratings)
Vendor post-sale
-
(0 ratings)
8.0
(0 ratings)
Vendor pre-sale
-
(0 ratings)
8.0
(0 ratings)
User Testimonials
Cloudera Enterprise Data HubRed Hat OpenShift
Likelihood to Recommend
Cloudera is critical for constructing an organizational data center
while maximizing the value of that volume of data.



Cloudera is great for comprehending data and querying for valuable
replies.



Cloudera supports data transfer from a variety of external databases and
third-party platforms.
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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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Pros
  • One of the oldest distributors of enterprise standard Hadoop.
  • Distribution is based on open source Hadoop even though customizations are done on top of that.
  • Faster updates and bug fixes to the products as they have Apache committers.
  • Central configuration and control of your Hadoop platform (but still needs improvements).
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  • 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.
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Cons
  • Not fully Open Source, couple of components of the distributions are privately owned, meaning with public contributions are not welcome
  • Improvements to Cloudera manager can only be recommended. its very hard to get it done once recommended as the full control is with them.
  • Should make components more aligned to Open Source rather than making it closed sourced.
  • Custom Features of open source software tools supported only by Cloudera are tricky. Cant commit changes to tools like Hue.
  • Improvements to Cluster Management tool is required, which are already available to its competitors.
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  • 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."
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Likelihood to Renew
Likely to renew the use in case the requirements for Cloudera remain valid. The rapid change in customer requirements and solutions that must be validated, integrated or tested changes. As the maturity of the solution increases, the requirements to renew use decrease. From a solution feature perspective by itself would probably grade 10.
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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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Usability
No answers on this topic
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
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Reliability and Availability
No answers on this topic
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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Performance
No answers on this topic
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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Support Rating
No answers on this topic
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
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In-Person Training
No answers on this topic
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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Online Training
No answers on this topic
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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Implementation Rating
No answers on this topic
The learning curve is quite high but worth it.
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Alternatives Considered
Cloudera is a
great choice because it provides fast streaming data for tracking, breaks down
silos by providing unified self-service platforms for data-driven insights,
secures machine learning, AI solutions, and stores self-service data, enabling
our analysts to concentrate on more important tasks like displaying critical
information.
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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.
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Scalability
No answers on this topic
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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Return on Investment
  • Cloudera products are the most widely. It is more business friendly as data is more secure. The sensitive data that you operate on is local to you and your project rather than processing this data on Cloud.
  • Cloudera is definitely faster as wait time is reduced if on Cloud.
  • A lot range of products are covered. So it is definitely good for businesses and had good returns on investments.
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  • 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.
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ScreenShots