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Red Hat OpenShift vs Splunk Observability Cloud comparison

 

Comparison Buyer's Guide

Executive Summary

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
7.8
Splunk Observability Cloud enhances visibility, productivity, and efficiency, reducing downtime and facilitating real-time data access for better decision-making.
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.
 

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
7.4
Users find Splunk's customer support satisfactory, responsive, but sometimes experience slow responses; documentation aids effective troubleshooting.
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.
They often require multiple questions, with five or six emails to get a response.
They did respond to us, but they did not explicitly inform us about the feature's absence.
If any issues arise, we can raise a vendor case, and resolutions are provided in a timely and accurate manner.
 

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
7.8
Splunk Observability Cloud scales efficiently with growing data and users, despite challenges in monitoring large clusters and cost considerations.
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.
I would rate its scalability an eight 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
8.3
Users praise Splunk Observability Cloud for stability and reliability, with minor subscription-related performance limits being manageable.
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.
 

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 better integration, automation, and usability, facing challenges in cost, support, scalability, and deployment.
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.
There is room for improvement in the alerting system, which is complicated and has less documentation available.
Customers sometimes need to create specific dashboards, particularly for applicative metrics such as Java and process terms.
It would be beneficial if server details could be retrieved directly in synthetic monitoring.
 

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 flexible pricing based on usage, but it may be expensive compared to competitors.
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.
It appears to be expensive compared to competitors.
Splunk Observability Cloud is expensive.
 

Valuable Features

Red Hat OpenShift is valued for its security, scalability, automation, multi-cloud flexibility, and efficient management interface.
Splunk Observability Cloud offers rapid log searching, seamless integration, user-friendly dashboards, AI analytics, and quick deployment for enhanced monitoring.
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.
For troubleshooting, we can detect problems in seconds, which is particularly helpful for digital teams.
It offers unified visibility for logs, metrics, and traces.
Splunk APM provides a holistic view of the application.
 

Categories and Ranking

Red Hat OpenShift
Ranking in Container Management
12th
Average Rating
8.4
Reviews Sentiment
7.1
Number of Reviews
62
Ranking in other categories
PaaS Clouds (3rd), Server Virtualization Software (9th), Hybrid Cloud Computing Platforms (6th), Agile and DevOps Services (1st)
Splunk Observability Cloud
Ranking in Container Management
7th
Average Rating
8.4
Reviews Sentiment
7.2
Number of Reviews
52
Ranking in other categories
Application Performance Monitoring (APM) and Observability (11th), IT Infrastructure Monitoring (7th), Cloud Monitoring Software (8th)
 

Mindshare comparison

As of June 2025, in the Container Management category, the mindshare of Red Hat OpenShift is 1.8%, up from 1.0% compared to the previous year. The mindshare of Splunk Observability Cloud is 0.5%, up from 0.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.
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.
Lakshmi Padaga - PeerSpot reviewer
Collaborates performance metrics with log data to pinpoint the exact cause of issues and offers error detection
Splunk APM is a robust tool with many capabilities. There are always areas for potential improvement to enhance its functionality and user experience. For Splunk APM, there could be simplified navigation, like streamlining the user interface to make navigation more intuitive for our users, especially those new to APM, which can enhance usability. We can provide more customization options for dashboards and visualizations to help users tailor the platform to their specific needs. There could be more integration capabilities with a wider range of third-party tools and platforms would also be beneficial. By focusing on these areas, Splunk APM can enhance its value proposition, improve user satisfaction, and better meet the evolving needs of organizations monitoring their application performance.
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Top Industries

By visitors reading reviews
Financial Services Firm
30%
Manufacturing Company
9%
Computer Software Company
9%
Insurance Company
7%
Financial Services Firm
17%
Computer Software Company
16%
Retailer
7%
Government
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

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
 

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 2025.
857,162 professionals have used our research since 2012.