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Red Hat OpenShift vs Splunk Observability Cloud comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Sep 21, 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
7.8
Red Hat OpenShift improves productivity, offers cost savings, enhances system stability, and provides 15% ROI, especially in privacy-focused sectors.
Sentiment score
7.0
Splunk Observability Cloud boosts productivity, efficiency, and ROI by simplifying problem detection and improving KPI management and collaboration.
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.
Moving to OpenShift resulted in increased system stability and reduced downtime, which contributed to operational efficiency.
It is always advisable to get the bare minimum that you need, and then add more when necessary.
Using Splunk has saved my organization about 30% of our budget compared to using multiple different monitoring products.
Anyone working in front-end management should recognize the market price to see the true value of end-user monitoring.
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.
 

Customer Service

Sentiment score
6.8
Red Hat OpenShift support is mixed, praised for expertise but criticized for slow responses and varying experiences based on subscription.
Sentiment score
7.0
Splunk Observability Cloud support is generally responsive but can be slow, with improvement needed, especially in the APAC region.
Red Hat's technical support is responsive and effective.
I have been pretty happy in the past with getting support from Red Hat.
Red Hat's technical support is good, and I would rate it a nine out of ten.
On a scale of 1 to 10, the customer service and technical support deserve a 10.
They have consistently helped us resolve any issues we've encountered.
They often require multiple questions, with five or six emails to get a response.
 

Scalability Issues

Sentiment score
7.5
Red Hat OpenShift offers efficient scalability with automated features, easy deployment, and adaptability, despite cost and infrastructure considerations.
Sentiment score
7.4
Splunk Observability Cloud is scalable and flexible but can be costly, with challenges in data ingestion and implementation.
The on-demand provisioning of pods and auto-scaling, whether horizontal or vertical, is the best part.
OpenShift's horizontal pod scaling is more effective and efficient than that used in Kubernetes, making it a superior choice for scalability.
Red Hat OpenShift scales excellently, with a rating of ten out of ten.
We've used the solution across more than 250 people, including engineers.
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.
I would rate its scalability a nine out of ten.
 

Stability Issues

Sentiment score
7.7
Red Hat OpenShift is praised for stability, reliability, and features like Blue-Green deployment, with minor issues quickly resolved.
Sentiment score
7.7
Splunk Observability Cloud is highly stable, rated 8-10/10 for reliability, with minor issues usually from user configurations.
It provides better performance yet requires more resources compared to vanilla Kubernetes.
I've had my cluster running for over four years.
It performs well under load, providing the desired output.
I would rate its stability a nine out of ten.
We rarely have problems accessing the dashboard or the page.
Unlike NetScout or regular agents for APM, RUM has many problems during the POC phase because customer environments vary widely.
 

Room For Improvement

Red Hat OpenShift needs better documentation, improved usability, and enhancements in security, integration, technical support, and installation processes.
Splunk Observability Cloud needs integration, automation, performance, pricing improvements, and enhanced UI, documentation, AI, and support services.
Learning OpenShift requires complex infrastructure, needing vCenter integration, more advanced answers, active directory, and more expensive hardware.
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.
We should aim to include VMware-like capabilities to be competitive, especially considering cost factors.
The out-of-the-box customizable dashboards in Splunk Observability Cloud are very effective in showcasing IT performance to business leaders.
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.
There is room for improvement in the alerting system, which is complicated and has less documentation available.
 

Setup Cost

Red Hat OpenShift pricing is high but potentially cost-effective for large enterprises, offering comprehensive support and enterprise capabilities.
Splunk Observability Cloud offers advanced features but can become costly as data volume and infrastructure needs grow.
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.
Red Hat can improve on the pricing part by making it more flexible and possibly on the lower side.
The cost of OpenShift is very high, particularly with the OpenShift Plus package, which includes many products and services.
Splunk is a bit expensive since it charges based on the indexing rate of data.
It is expensive, especially when there are other vendors that offer something similar for much cheaper.
It appears to be expensive compared to competitors.
 

Valuable Features

Red Hat OpenShift is valued for its security, scalability, automation, multi-cloud flexibility, and efficient management interface.
Splunk Observability Cloud offers seamless data integration, real-time insights, and efficient monitoring, enhancing performance visibility across diverse environments.
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.
The concept of containers and scaling on demand is a feature I appreciate the most about Red Hat OpenShift.
A valuable feature of Red Hat OpenShift is its ability to handle increased loads by automatically adding nodes.
Splunk provides advanced notifications of roadblocks in the application, which helps us to improve and avoid impacts during high-volume days.
For troubleshooting, we can detect problems in seconds, which is particularly helpful for digital teams.
It offers unified visibility for logs, metrics, and traces.
 

Categories and Ranking

Red Hat OpenShift
Ranking in Container Management
11th
Average Rating
8.4
Reviews Sentiment
7.1
Number of Reviews
62
Ranking in other categories
PaaS Clouds (3rd), Server Virtualization Software (10th), Hybrid Cloud Computing Platforms (6th), Agile and DevOps Services (1st)
Splunk Observability Cloud
Ranking in Container Management
6th
Average Rating
8.2
Reviews Sentiment
7.0
Number of Reviews
71
Ranking in other categories
Application Performance Monitoring (APM) and Observability (8th), Network Monitoring Software (6th), IT Infrastructure Monitoring (7th), Cloud Monitoring Software (8th), Digital Experience Monitoring (DEM) (2nd)
 

Mindshare comparison

As of October 2025, in the Container Management category, the mindshare of Red Hat OpenShift is 2.9%, up from 1.3% compared to the previous year. The mindshare of Splunk Observability Cloud is 0.5%, up from 0.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Container Management Market Share Distribution
ProductMarket Share (%)
Splunk Observability Cloud0.5%
Red Hat OpenShift2.9%
Other96.6%
Container Management
 

Featured Reviews

Pratul Shukla - PeerSpot reviewer
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.
Taiwo Ige - PeerSpot reviewer
Alerting improves incident response across teams and enables faster awareness before customer impact
Splunk Observability Cloud could be improved in terms of integrations with more technical add-ons, such as Zoom. Although they have one with Zoom, it's not available in the cloud, so having that feature would be beneficial. Essentially, Splunk should continue expanding to create easier ways to ingest logs from different products. The out-of-the-box customizable dashboards in Splunk Observability Cloud are very effective in showcasing IT performance to business leaders. However, there are aspects that could be improved, such as linking dashboards to one another. While IT leaders may not drill down, it's crucial to create levels of dashboards for technical users to find root causes, making it effective for stakeholders.
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Top Industries

By visitors reading reviews
Financial Services Firm
28%
Manufacturing Company
10%
Computer Software Company
9%
Government
7%
Financial Services Firm
15%
Computer Software Company
12%
Retailer
8%
Manufacturing Company
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business17
Midsize Enterprise4
Large Enterprise40
By reviewers
Company SizeCount
Small Business20
Midsize Enterprise10
Large Enterprise43
 

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: September 2025.
869,566 professionals have used our research since 2012.