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Red Hat OpenShift vs Splunk Observability Cloud comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Mar 29, 2026

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

ROI

Sentiment score
6.9
Red Hat OpenShift boosts productivity, reduces costs, enhances scalability, and ensures seamless migration with strong security for organizations.
Sentiment score
6.5
Splunk Observability Cloud boosts efficiency, reduces costs, and enhances productivity with centralized tools and improved monitoring capabilities.
Red Hat OpenShift has proven to be an intelligent product for me, being built on Kubernetes, which is widely recognized and is where many cloud providers are deploying new workloads.
Systems & Storage Engineer at ATOS
Time was the major thing which saved a lot, and in terms of resources, it has reduced resource utilization so the remaining users can focus on other tasks.
Server Architect at a tech vendor with 10,001+ employees
With OpenShift combined with IBM Cloud App integration, I can spin an integration server in a second as compared to traditional methods, which could take days or weeks.
Platform Engineer & Manager at a computer software company with 51-200 employees
We have saved considerable amounts of money, reducing our expenditures from around three to four crores to approximately one to one point two crores.
Senior Manager at Agriculture Skill Council of India
We have been able to save a great deal of money, and our profits have increased by twenty percent.
Project Manager at AGRICULTURE SKILL COUNCIL OF INDIA (ASCI)
Using Splunk has saved my organization about 30% of our budget compared to using multiple different monitoring products.
Senior Manager at Bank of America
 

Customer Service

Sentiment score
6.7
Red Hat OpenShift's customer service is praised for responsiveness and knowledge, but some users report slow response times.
Sentiment score
7.2
Splunk Observability Cloud's customer service is highly rated for its responsiveness, support, and effective issue resolution.
Red Hat's technical support is responsive and effective.
Infrastructure Manager at Appzone Group
Customer support is really good because so far in our case, we have always received a prompt response, and they have been really helpful to us.
Senior Specialist at a tech vendor with 10,001+ employees
The response time for customer support is excellent, and they go deep and can resolve things easily.
Operation Director at Zaintech
On a scale of 1 to 10, the customer service and technical support deserve a 10.
Systems Administrator at a insurance company with 1,001-5,000 employees
They have consistently helped us resolve any issues we've encountered.
Software Engineer at UKG
The customer support system is the foundational pillar of any successful business.
Project Manager at AGRICULTURE SKILL COUNCIL OF INDIA (ASCI)
 

Scalability Issues

Sentiment score
7.4
Red Hat OpenShift is praised for scalable capabilities, efficiently handling user demands with features like horizontal pod autoscaling.
Sentiment score
6.9
Splunk Observability Cloud is scalable and flexible but can incur high costs; management of custom metrics may be challenging.
The on-demand provisioning of pods and auto-scaling, whether horizontal or vertical, is the best part.
Director at a government with 1,001-5,000 employees
OpenShift's horizontal pod scaling is more effective and efficient than that used in Kubernetes, making it a superior choice for scalability.
Platform Engineer & Manager at a computer software company with 51-200 employees
Red Hat OpenShift scales excellently, with a rating of ten out of ten.
System Analyst at Freelancer
We've used the solution across more than 250 people, including engineers.
Splunk Observability Expert
As we are a growing company transitioning all our applications to the cloud, and with the increasing number of cloud-native applications, Splunk Observability Cloud will help us achieve digital resiliency and reduce our mean time to resolution.
Application Developer at UMB Financial
We have never seen any kind of downtime or crashes, as it has been absolutely very easy to scale.
Project Manager at AGRICULTURE SKILL COUNCIL OF INDIA (ASCI)
 

Stability Issues

Sentiment score
7.8
Red Hat OpenShift is highly stable and reliable, scoring eight to nine out of ten, with isolated challenges.
Sentiment score
7.7
Splunk Observability Cloud is stable, reliable, and scalable, with minor performance issues and occasional but limited downtime.
Red Hat OpenShift can scale to thousands of nodes, allowing multiple clusters to be managed in different geolocations and managed by centralized advanced cluster management, ACM.
Operation Director at Zaintech
It provides better performance yet requires more resources compared to vanilla Kubernetes.
Platform Engineer & Manager at a computer software company with 51-200 employees
I've had my cluster running for over four years.
Infrastructure Manager at Appzone Group
When downtime occurs, it raises concerns about how we measure and receive alerts, as everything needs to be in place.
Aws Dev Ops Engineer at a consultancy with 10,001+ employees
Splunk Observability Cloud is very stable.
Software Engineer at Titans Lab
It is highly scalable because it can handle approximately up to one hundred applications at a time without any lapse or lag.
Project Manager at AGRICULTURE SKILL COUNCIL OF INDIA (ASCI)
 

Room For Improvement

Red Hat OpenShift needs better UX, simplified configurations, improved support, and optimized integrations to enhance user satisfaction and scalability.
Splunk Observability Cloud needs better cost transparency, user interface, third-party integration, and improved setup, onboarding, and AI capabilities.
Learning OpenShift requires complex infrastructure, needing vCenter integration, more advanced answers, active directory, and more expensive hardware.
Platform Engineer & Manager at a computer software company with 51-200 employees
Red Hat OpenShift's biggest disadvantage is they do not provide any private cloud setup where we can host on our site using their services.
Vice President at a financial services firm with 10,001+ employees
If I could change or improve one thing about Red Hat OpenShift, it would be to provide more information on the web because the information is limited and I need to explore more.
Manager Cybersecurity at a outsourcing company with 201-500 employees
The out-of-the-box customizable dashboards in Splunk Observability Cloud are very effective in showcasing IT performance to business leaders.
IT Operations Engineer at ABC Supply Co. Inc.
The next release of Splunk Observability Cloud should include a feature that makes it so that when looking at charts and dashboards, and also looking at one environment regardless of the product feature that you're in, APM, infrastructure, RUM, the environment that is chosen in the first location when you sign into Splunk Observability Cloud needs to stay persistent all the way through.
Systems Monitoring Engineer II at a government with 10,001+ employees
There should be a solution to update OTeL agents from Splunk Observability Cloud itself.
Senior Software Engineer at WorldPay US
 

Setup Cost

Red Hat OpenShift's pricing is high but offers comprehensive support, with cost variations depending on hosting, nodes, and enterprise agreements.
Enterprise users find Splunk Observability Cloud pricey compared to competitors, but negotiations can reduce costs by 10-15%.
Initially, licensing was per CPU, with a memory cap, but the price has doubled, making it difficult to justify for clients with smaller compute needs.
Senior Technical Lead at MORO
The pricing for Red Hat OpenShift is considered quite high.
Manager for Middleware at a computer software company with 1,001-5,000 employees
My experience with pricing, setup cost, and licensing shows that Red Hat OpenShift comes out as an expensive solution compared to having AKS, GKE, or EKS.
Lead Solution Architect at a tech vendor with 1,001-5,000 employees
Splunk is a bit expensive since it charges based on the indexing rate of data.
Senior Manager at Bank of America
It is expensive, especially when there are other vendors that offer something similar for much cheaper.
Solutions Architect at Ikusi
I can confidently say our availability improved by forty percent, and downtime was reduced by approximately seventy to eighty percent.
Splunk Engineer at Data Elicit Solutions Pvt. Ltd.
 

Valuable Features

Red Hat OpenShift enhances security, compatibility, and automation for flexible cloud-native deployments, reducing time-to-market for applications.
Splunk Observability Cloud offers real-time monitoring, AI analytics, and easy integration, enhancing user experience and operational performance.
Because it was centrally managed in our company, many metrics that we had to write code for were available out of the box, including utilization, CPU utilization, memory, and similar metrics.
Vice President at a financial services firm with 10,001+ employees
The main benefits Red Hat OpenShift provides for me as a final user include the capacity to integrate third-party tools and also the integration between observability, security, and monitoring capacities.
Architect Projects at a tech vendor with 10,001+ employees
This is one of the main things, in addition to having integration with ACM and ACS, where we can have the ability to manage multiple clusters and to secure them, deploy them, manage them, run GitOps and day-two operations, as well as upgrades and other functionality which is made easy using these tools.
Operation Director at Zaintech
Splunk provides advanced notifications of roadblocks in the application, which helps us to improve and avoid impacts during high-volume days.
Senior Manager at Bank of America
For troubleshooting, we can detect problems in seconds, which is particularly helpful for digital teams.
Splunk Observability Expert
It offers unified visibility for logs, metrics, and traces.
Administrator at a tech vendor with 10,001+ employees
 

Categories and Ranking

Red Hat OpenShift
Ranking in Container Management
5th
Average Rating
8.4
Reviews Sentiment
6.9
Number of Reviews
75
Ranking in other categories
PaaS Clouds (3rd), Server Virtualization Software (4th), Hybrid Cloud Computing Platforms (4th), Agile and DevOps Services (1st)
Splunk Observability Cloud
Ranking in Container Management
6th
Average Rating
8.2
Reviews Sentiment
6.8
Number of Reviews
88
Ranking in other categories
Application Performance Monitoring (APM) and Observability (6th), Network Monitoring Software (7th), IT Infrastructure Monitoring (7th), Cloud Monitoring Software (5th), Digital Experience Monitoring (DEM) (3rd)
 

Mindshare comparison

As of June 2026, in the Container Management category, the mindshare of Red Hat OpenShift is 4.7%, up from 1.8% compared to the previous year. The mindshare of Splunk Observability Cloud is 1.1%, up from 0.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Container Management Mindshare Distribution
ProductMindshare (%)
Red Hat OpenShift4.7%
Splunk Observability Cloud1.1%
Other94.2%
Container Management
 

Featured Reviews

AA
Operation Director at Zaintech
Platform has transformed our cloud into a secure, unified home for diverse modern applications
One of the best features of Red Hat OpenShift is that it has the catalog, the application catalog, and the operator hub, which allows us to deploy things easily and straightforward without going into a lot of hassles. This is one of the main things, in addition to having integration with ACM and ACS, where we can have the ability to manage multiple clusters and to secure them, deploy them, manage them, run GitOps and day-two operations, as well as upgrades and other functionality which is made easy using these tools. Red Hat OpenShift also provides virtualization capabilities, and I am currently working with Zain to make a project where we will convert F5 appliances to virtual machines and to manage them through Red Hat virtualization, OVE. Red Hat OpenShift is a unique platform because it provides the features for both worlds, containerization, and VMs at the same time, requiring you to learn one skillset in order to manage all of this at the same time. In the beginning, our cloud depended only on virtual machines, so I introduced this to our management to start to work with microservices and with containerization. This was adapted in our cloud, providing us the capability to sell more of these features and to reduce the hardware requirement by about thirty percent, following the trends of using containerization for all modern applications. In addition, it reduced the time to develop and to deploy a new application; all we need is using Jenkins for CI/CD. Once we commit any code, it gets triggered, and it will implement the new container in a very flexible and easy way, within seconds. This decreased the time to market and increased agility, allowing us to capture new opportunities very fast.
PK
Project Manager at AGRICULTURE SKILL COUNCIL OF INDIA (ASCI)
Unified observability has improved real-time governance and now drives data-led decisions
Log Observer Connect is embedded here, but we are facing some delays in centralized log collection and analysis, which can be further fastened. We are collecting all the data metrics and decision-making insights, but all these data-driven decisions coming from different applications are not connected somewhere. A consolidated form or correlation of these insights is not happening between each other due to which we feel we are missing something significant. Some generalized feedback includes that predictive alerts or alarms which can be integrated with AI-driven alarms and alerting features should be established so that there is AI-driven intelligence and anomaly detection happening with a complete systematic process in service delivery. Application dependencies are huge, and business and operational dashboards should be improved. Right now there are very interactive custom dashboards, and every now and then, the personalization of enhancements keeps happening. KPI monitoring, executive reporting, and analytics have definitely been introduced to a great extent. There are few things in cloud-native monitoring, such as integration with AWS and Azure, where we sometimes do face lags. Those things can definitely be improved upon. I have used Datadog and Dynatrace before using Splunk Observability Cloud. Datadog was definitely recommended by most of our peers because of its very strong comprehensive observability and very strong and unique dashboard systems. Dynatrace was also very good because they have offered a lot of AI-driven analysis methods and processes, which was helping our organization a lot. Since our organization has a very strong IT ecosystem for agriculture, very different kinds of customized things are required.
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Top Industries

By visitors reading reviews
Financial Services Firm
22%
Manufacturing Company
10%
Government
7%
Computer Software Company
6%
Financial Services Firm
12%
Manufacturing Company
9%
Computer Software Company
8%
Construction Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business19
Midsize Enterprise6
Large Enterprise56
By reviewers
Company SizeCount
Small Business32
Midsize Enterprise8
Large Enterprise55
 

Questions from the Community

How does OpenShift compare with Amazon AWS?
Open Shift makes managing infrastructure easy because of self-healing and automatic scaling. There is also a wonderful dashboard mechanism to alert us in case the application is over-committing or ...
Which would you recommend - Pivotal Cloud Foundry or OpenShift?
Pivotal Cloud Foundry is a cloud-native application platform to simplify app delivery. It is efficient and effective. The best feature is how easy it is to handle external services such as database...
What needs improvement with OpenShift?
I hope that the interface and dashboard can become more user-friendly to assist in creating clusters and managing network interfaces easily, as opposed to relying heavily on command lines, which co...
What needs improvement with SignalFx?
Regarding dashboard customization, while Splunk has many dashboard building options, customers sometimes need to create specific dashboards, particularly for applicative metrics such as Java and pr...
What is your primary use case for SignalFx?
The solution involves observability in general, such as Application Performance Monitoring, and generally addresses digital applications, web applications, sites, and mobile applications. I worked ...
What advice do you have for others considering SignalFx?
We're a customer and end-user. Currently, in France, we cannot use the artificial intelligence option. While this option is enabled for the United States and many countries, it's not yet available ...
 

Also Known As

No data available
Splunk Infrastructure Monitoring, Splunk Real User Monitoring (RUM), Splunk Synthetic Monitoring
 

Overview

 

Sample Customers

UPS, Cathay Pacific, Hilton
Sunrun, Yelp, Onshape, Tapjoy, Symphony Commerce, Chairish, Clever, Grovo, Bazaar Voice, Zenefits, Avalara
Find out what your peers are saying about Red Hat OpenShift vs. Splunk Observability Cloud and other solutions. Updated: June 2026.
902,495 professionals have used our research since 2012.