TrustRadius: an HG Insights company

Save this comparison

Save this comparison

Add Product

Recommended Comparisons

    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    HPE Data Fabric

    Score9.4 out of 10
    N/AHPE Data Fabric (formerly MapR, acquired by HPE in 2019) is a software-defined datastore and file system that simplifies data management and analytics by unifying data across core, edge, and multicloud sources into a single platform.N/A

    Red Hat OpenShift

    Score9.1 out of 10
    N/AOpenShift 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.

    $0.08

    per hour

    Pricing
    HPE Data FabricRed Hat OpenShift
    Editions & Modules
    No answers on this topic
    No answers on this topic
    Offerings
    Pricing Offerings
    HPE Data FabricRed Hat OpenShift
    Free Trial
    NoYes
    Free/Freemium Version
    NoYes
    Premium Consulting/Integration Services
    NoNo
    Entry-level Setup FeeNo setup feeNo setup fee
    Additional Details——
    More Pricing Information
    Community Pulse
    HPE Data FabricRed Hat OpenShift
    Considered Both Products
    Hewlett Packard Enterprise (HPE)
    No answer on this topic
    Red Hat
    Chose Red Hat OpenShift
    HPE Ezmeral has been a complete disaster in our experience, especially when compared to Red Hat OpenShift. The platform feels clunky and unfinished, with poor integration across components and a clear lack of maturity that results in frequent instability and unpredictable …
    Incentivized
    Key User Insights
    Would buy again
    No answers on this topic
    97%
    Would buy again
    315 Answers
    Delivers good value for the price
    No answers on this topic
    96%
    Delivers good value for the price
    268 Answers
    Happy with the feature set
    No answers on this topic
    99%
    Happy with the feature set
    322 Answers
    Lived up to sales and marketing promises
    No answers on this topic
    97%
    Lived up to sales and marketing promises
    218 Answers
    Implementation went as expected
    No answers on this topic
    90%
    Implementation went as expected
    255 Answers
    Features
    HPE Data FabricRed Hat OpenShift
    Platform-as-a-Service
    Comparison of Platform-as-a-Service features of HPE Data Fabric and Red Hat OpenShift
    Feature
    HPE Data Fabric
    -
    Ratings
    Red Hat OpenShift
    8.4
    324 Ratings
    8% above category average
    Ease of building user interfaces00 Ratings8.6275 Ratings
    Scalability00 Ratings9.3309 Ratings
    Platform management overhead00 Ratings8.3290 Ratings
    Workflow engine capability00 Ratings8.6262 Ratings
    Platform access control00 Ratings8.3291 Ratings
    Services-enabled integration00 Ratings8.5273 Ratings
    Development environment creation00 Ratings8.6283 Ratings
    Development environment replication00 Ratings8.3270 Ratings
    Issue monitoring and notification00 Ratings7.9284 Ratings
    Issue recovery00 Ratings8.1279 Ratings
    Upgrades and platform fixes00 Ratings8.5285 Ratings
    Best Alternatives
    HPE Data FabricRed Hat OpenShift
    Small Businesses
    No answers on this topic
    IBM Cloud Foundry
    Score8.5 out of 10
    Medium-sized Companies
    HBase
    Score7.3 out of 10
    IBM Cloud Private
    Score9.6 out of 10
    Enterprises
    Cassandra
    Score9 out of 10
    AWS Elastic Beanstalk
    Score8.6 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    HPE Data FabricRed Hat OpenShift
    Likelihood to Recommend
    7.2
    (4 ratings)
    9.1
    (339 ratings)
    Likelihood to Renew
    -
    (0 ratings)
    9.3
    (26 ratings)
    Usability
    -
    (0 ratings)
    8.5
    (10 ratings)
    Availability
    -
    (0 ratings)
    5.5
    (1 ratings)
    Performance
    -
    (0 ratings)
    9.0
    (125 ratings)
    Support Rating
    -
    (0 ratings)
    7.0
    (9 ratings)
    In-Person Training
    -
    (0 ratings)
    7.0
    (1 ratings)
    Implementation Rating
    -
    (0 ratings)
    7.0
    (3 ratings)
    Contract Terms and Pricing Model
    -
    (0 ratings)
    8.0
    (3 ratings)
    Professional Services
    -
    (0 ratings)
    7.3
    (1 ratings)
    Vendor post-sale
    -
    (0 ratings)
    8.0
    (1 ratings)
    Vendor pre-sale
    -
    (0 ratings)
    8.0
    (1 ratings)
    User Testimonials
    HPE Data FabricRed Hat OpenShift
    Likelihood to Recommend
    Hewlett Packard Enterprise (HPE)
    MapR is more well-suited for people who know what they are doing. I consider MapR the Hadoop distribution professionals use.
    Incentivized
    Read full review
    Red Hat
    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.
    Incentivized
    Read full review
    Pros
    Hewlett Packard Enterprise (HPE)
    • MapR had very fast I/O throughput. The write speed was several times faster than what we could achieve with the other Hadoop vendors (Cloudera and Hortonworks). This is because MapR does not use HDFS, which is essentially a "meta filesystem". HDFS is built on top of the filesystem provided by the OS. MapR has their filesystem called MapR-FS, which is a true filesystem and accesses the raw disk drives.
    • The MapR filesystem is very easy to integrate with other Linux filesystems. When working with HDFS from Apache Hadoop, you usually have to use either the HDFS API or various Hadoop/HDFS command line utilities to interact with HDFS. You cannot use command line utilities native to the host operation system, which is usually Linux. At least, it is not easily done without setting up NFS, gateways, etc. With MapR-FS, you can mount the filesystem within Linux and use the standard Unix commands to manipulate files.
    • The HBase distribution provided by MapR is very similar to the Apache HBase distribution. Cloudera and Hortonworks add GUIs and other various tools on top of their HBase distributions. The MapR HBase distribution is very similar to the Apache distribution, which is nice if you are more accustomed to using Apache HBase.
    Incentivized
    Read full review
    Red Hat
    • 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.
    Incentivized
    Read full review
    Cons
    Hewlett Packard Enterprise (HPE)
    • It takes time to get latest versions of Apache ecosystem tools released as it has to be adapted.
    • When you have issues related to Mapr-FS or Mapr Tables, its hard to figure them out by ourselves.
    • Sometime new ecosystem tools versions are released without proper QA.
    Incentivized
    Read full review
    Red Hat
    • 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.
    Incentivized
    Read full review
    Likelihood to Renew
    Hewlett Packard Enterprise (HPE)
    No answers on this topic
    Red Hat
    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
    Incentivized
    Read full review
    Usability
    Hewlett Packard Enterprise (HPE)
    No answers on this topic
    Red Hat
    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
    Incentivized
    Read full review
    Reliability and Availability
    Hewlett Packard Enterprise (HPE)
    No answers on this topic
    Red Hat
    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.
    Incentivized
    Read full review
    Performance
    Hewlett Packard Enterprise (HPE)
    No answers on this topic
    Red Hat
    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.
    Incentivized
    Read full review
    Support Rating
    Hewlett Packard Enterprise (HPE)
    No answers on this topic
    Red Hat
    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.
    Incentivized
    Read full review
    In-Person Training
    Hewlett Packard Enterprise (HPE)
    No answers on this topic
    Red Hat
    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.
    Incentivized
    Read full review
    Online Training
    Hewlett Packard Enterprise (HPE)
    No answers on this topic
    Red Hat
    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.
    Incentivized
    Read full review
    Alternatives Considered
    Hewlett Packard Enterprise (HPE)
    I don't believe there is as much support for MapR yet compared to other more widely known products.
    Incentivized
    Read full review
    Red Hat
    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.
    Incentivized
    Read full review
    Contract Terms and Pricing Model
    Hewlett Packard Enterprise (HPE)
    No answers on this topic
    Red Hat
    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.
    Incentivized
    Read full review
    Scalability
    Hewlett Packard Enterprise (HPE)
    No answers on this topic
    Red Hat
    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
    Incentivized
    Read full review
    Return on Investment
    Hewlett Packard Enterprise (HPE)
    • Increased employee efficiency for sure. Our clients have various levels of expertise in their deployment and user teams, and we never receive complaints about MapR.
    • MapR is used by one of our financial services clients who uses it for fraud detection and user pattern analysis. They are able to turn around data much faster than they previously had with in-house applications
    Incentivized
    Read full review
    Red Hat
    • 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.
    Incentivized
    Read full review
    ScreenShots