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Red Hat OpenShift vs Splunk Observability Cloud comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Dec 28, 2025

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
7.4
Red Hat OpenShift boosts ROI with enhanced productivity, scalability, and security, offering efficient integration and modernization despite initial costs.
Sentiment score
6.9
Splunk Observability Cloud boosts ROI with improved efficiency, reduced downtime, faster problem resolution, and significant operational savings.
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
Moving to OpenShift resulted in increased system stability and reduced downtime, which contributed to operational efficiency.
Infrastructure Manager at Appzone Group
It is always advisable to get the bare minimum that you need, and then add more when necessary.
Vice President at a financial services firm with 10,001+ employees
Using Splunk has saved my organization about 30% of our budget compared to using multiple different monitoring products.
Senior Manager at a financial services firm with 10,001+ employees
Anyone working in front-end management should recognize the market price to see the true value of end-user monitoring.
General Manager at MOCOMSYS
I have definitely seen a return on investment with Splunk Observability Cloud, particularly through how fast it has grown and how comfortable other teams are in relying on its outputs for monitoring and observability.
IT Operations Engineer at ABC Supply Co. Inc.
 

Customer Service

Sentiment score
6.8
Red Hat OpenShift support is praised for expertise and community support but criticized for delays and complex documentation.
Sentiment score
7.1
Splunk Observability Cloud's customer service is responsive and helpful but experiences issues with delays and limited staffing in regions.
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.
ML Engineer - Specialist at a tech vendor with 10,001+ employees
I have been pretty happy in the past with getting support from Red Hat.
Manager IT Infrastructure at a government with 1,001-5,000 employees
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
They often require multiple questions, with five or six emails to get a response.
Splunk Observability Expert
 

Scalability Issues

Sentiment score
7.4
Red Hat OpenShift efficiently scales nodes and applications, supports large operations, but some desire improved on-premise capabilities.
Sentiment score
7.3
Splunk Observability Cloud scales well but can be costly, requiring careful management of pricing and metric limits.
The on-demand provisioning of pods and auto-scaling, whether horizontal or vertical, is the best part.
Manager IT Infrastructure 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
I would rate its scalability a nine out of ten.
Senior Manager at a financial services firm with 10,001+ employees
 

Stability Issues

Sentiment score
7.7
Red Hat OpenShift is praised for high stability, efficiently handling production, with improvements minimizing external-impact issues.
Sentiment score
7.7
Splunk Observability Cloud offers reliable performance with minimal issues, quickly resolving occasional glitches, leading to high user satisfaction.
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
It performs well under load, providing the desired output.
System Analyst at Freelancer
I would rate its stability a nine out of ten.
Head of DevOps at a tech services company with 1-10 employees
We rarely have problems accessing the dashboard or the page.
Splunk Observability Expert
Unlike NetScout or regular agents for APM, RUM has many problems during the POC phase because customer environments vary widely.
General Manager at MOCOMSYS
 

Room For Improvement

Red Hat OpenShift requires improvements in documentation, security, integration, support, GUI, scalability, resource demands, and user experience.
Splunk Observability Cloud needs improved integration, cost transparency, better UI, enhanced AI, customization, stability, and streamlined processes.
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
We should aim to include VMware-like capabilities to be competitive, especially considering cost factors.
System Analyst at Freelancer
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 is room for improvement in the alerting system, which is complicated and has less documentation available.
Head of DevOps at a tech services company with 1-10 employees
 

Setup Cost

Red Hat OpenShift offers comprehensive features but is criticized for high costs, especially when upgrading to the licensed version.
Splunk Observability Cloud is costly but offers negotiable and flexible pricing justified by its features and solutions.
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
Red Hat can improve on the pricing part by making it more flexible and possibly on the lower side.
Manager IT Infrastructure at a government with 1,001-5,000 employees
Splunk is a bit expensive since it charges based on the indexing rate of data.
Senior Manager at a financial services firm with 10,001+ employees
It is expensive, especially when there are other vendors that offer something similar for much cheaper.
Solutions Architect at Ikusi
It appears to be expensive compared to competitors.
Head of DevOps at a tech services company with 1-10 employees
 

Valuable Features

Red Hat OpenShift provides fast CI/CD, scalability, security, automation, and integration for seamless, secure, and flexible application deployment.
Splunk Observability Cloud offers user-friendly dashboards, AI analytics, and seamless integration, improving visibility, issue resolution, 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 concept of containers and scaling on demand is a feature I appreciate the most about Red Hat OpenShift.
Manager IT Infrastructure at a government with 1,001-5,000 employees
A valuable feature of Red Hat OpenShift is its ability to handle increased loads by automatically adding nodes.
System Analyst at Freelancer
Splunk provides advanced notifications of roadblocks in the application, which helps us to improve and avoid impacts during high-volume days.
Senior Manager at a financial services firm with 10,001+ employees
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
10th
Average Rating
8.4
Reviews Sentiment
7.0
Number of Reviews
64
Ranking in other categories
PaaS Clouds (3rd), Server Virtualization Software (11th), Hybrid Cloud Computing Platforms (5th), Agile and DevOps Services (1st)
Splunk Observability Cloud
Ranking in Container Management
6th
Average Rating
8.2
Reviews Sentiment
7.0
Number of Reviews
75
Ranking in other categories
Application Performance Monitoring (APM) and Observability (8th), Network Monitoring Software (6th), IT Infrastructure Monitoring (7th), Cloud Monitoring Software (6th), Digital Experience Monitoring (DEM) (2nd)
 

Mindshare comparison

As of January 2026, in the Container Management category, the mindshare of Red Hat OpenShift is 3.5%, up from 1.5% compared to the previous year. The mindshare of Splunk Observability Cloud is 0.7%, up from 0.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Container Management Market Share Distribution
ProductMarket Share (%)
Splunk Observability Cloud0.7%
Red Hat OpenShift3.5%
Other95.8%
Container Management
 

Featured Reviews

Pratul Shukla - PeerSpot reviewer
Vice President at a financial services firm with 10,001+ employees
Adopting a flexible and efficient approach with noticeable improvements in operational costs and continued challenges in job management
Currently, one of the biggest challenges we face is with services and jobs. For spawning batches, although it has crons, it is not easy to integrate with enterprise systems such as Autosys. The entire company uses Autosys, but we are not able to integrate it effectively. We need intermediate servers to run OC utility commands and initiate the cron job. We have to do a lot of modifications to ensure our batches work properly. With physical or virtual servers, even in AWS, we are able to write and manage multiple jobs. Managing batches in Red Hat OpenShift has been a significant challenge. Integrating third parties is a challenge with Red Hat OpenShift. For example, with Elasticsearch, onboarding itself was difficult, running file beats and dealing with routing issues. It is not straightforward, especially since we have some components in AWS as. AWS has many capabilities that come out of the box and are easier to work with compared to Red Hat OpenShift. 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. The main reason we went with Red Hat OpenShift was because it is a private cloud, and we have regulatory requirements that prevent us from using public cloud.
Dhananjay Dileep - PeerSpot reviewer
Senior Software Engineer at a consultancy with 10,001+ employees
Unified monitoring has improved end-to-end visibility and reduced detection time across apps
When we have too many detectors in place for one particular app, such as when I have created 50+ detectors through my account, the entire page becomes a bit loaded when creating the 51st detector, feeling heavy and taking time to load. Additionally, it throws random errors; for example, when we try to save one detector, it might throw some random error which is not even related, with something else being wrong, not that particular error, but the underlying root cause might be different. Sometimes the error is just "some problem occurred," and we are not able to point out what the real cause is. This mainly happens when we have too many detectors or too many alerts in place rather than a standard number. One more thing is in the alert rules; if we have a main general alert, and instead of creating a new detector, we are adding a new rule under one detector, when the number of rules also increases, such as when we have 10 or 15 rules under one generic detector, that again creates the same kind of problem, taking some time to save that particular newly added rule, and it might not save at times, just keeps on spinning. Those are the two drawbacks which I spotted recently; other than that, everything looks perfect.
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Top Industries

By visitors reading reviews
Financial Services Firm
25%
Manufacturing Company
10%
Computer Software Company
8%
Government
7%
Financial Services Firm
13%
Computer Software Company
10%
Manufacturing Company
10%
Retailer
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business17
Midsize Enterprise4
Large Enterprise43
By reviewers
Company SizeCount
Small Business20
Midsize Enterprise10
Large Enterprise47
 

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 do you like most about OpenShift?
OpenShift facilitates DevOps practices and improves CI/CD workflows in terms of stability compared to Jenkins.
What do you like most about SignalFx?
The most valuable feature is dashboard creation.
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 ...
 

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: December 2025.
881,114 professionals have used our research since 2012.