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Komodor 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
9.3
Teams using Komodor see up to 90% ROI, with cost savings and developer efficiency through self-service and integration features.
Sentiment score
6.9
Splunk Observability Cloud boosts ROI with improved efficiency, reduced downtime, faster problem resolution, and significant operational savings.
We saw around ninety percent ROI using Komodor.
Technical Solutions Engineer at a leisure / travel company with 501-1,000 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
9.0
Komodor offers responsive support and helpful features, but time zone differences may delay responses for West Coast teams.
Sentiment score
7.1
Splunk Observability Cloud's customer service is responsive and helpful but experiences issues with delays and limited staffing in regions.
I would rate the customer support from Komodor a ten out of ten.
Technical Solutions Engineer at a leisure / travel company with 501-1,000 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
9.3
Komodor generally handles scalability well across clusters, though some report performance issues with numerous nodes and clusters.
Sentiment score
7.3
Splunk Observability Cloud scales well but can be costly, requiring careful management of pricing and metric limits.
Komodor is very highly scalable in terms of infrastructure and in terms of the number of nodes we use.
Technical Solutions Engineer at a leisure / travel company with 501-1,000 employees
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
8.8
Komodor is generally stable, with minor issues quickly resolved, updates improving reliability, though occasional performance delays occur.
Sentiment score
7.7
Splunk Observability Cloud offers reliable performance with minimal issues, quickly resolving occasional glitches, leading to high user satisfaction.
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

Komodor needs installation upgrades, better visibility, intuitive alerts, cost analytics, system alignment, and feature integration for improved usability.
Splunk Observability Cloud needs improved integration, cost transparency, better UI, enhanced AI, customization, stability, and streamlined processes.
There are some features related to the platform that are missing in Komodor, such as Tigera status or CNI pods.
Technical Solutions Engineer at a leisure / travel company with 501-1,000 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 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

Komodor's pricing is seen as fair and flexible, benefiting startups but raising cost concerns as scale increases.
Splunk Observability Cloud is costly but offers negotiable and flexible pricing justified by its features and solutions.
Compared with Rancher or any other tools, Komodor is priced cheaply and available at a fair price.
Technical Solutions Engineer at a leisure / travel company with 501-1,000 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

Komodor enhances productivity by providing real-time insights, efficient debugging, and AI-assisted diagnostics, supporting quick problem identification in Kubernetes environments.
Splunk Observability Cloud offers user-friendly dashboards, AI analytics, and seamless integration, improving visibility, issue resolution, and operational performance.
One of the best features that Komodor offers is Cloud AI, which debugs all the logs and gives the exact root cause for the issue.
Technical Solutions Engineer at a leisure / travel company with 501-1,000 employees
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

Komodor
Ranking in Container Management
13th
Average Rating
8.8
Reviews Sentiment
8.3
Number of Reviews
6
Ranking in other categories
No ranking in other categories
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 Komodor is 3.6%, up from 1.3% 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%
Komodor3.6%
Other95.7%
Container Management
 

Featured Reviews

reviewer2785698 - PeerSpot reviewer
Technical Solutions Engineer at a leisure / travel company with 501-1,000 employees
Unified cloud workloads have become visible and teams manage kubernetes issues efficiently
This is the main task that we use Komodor for, and one additional benefit is that it is also helpful for platform and site reliability engineers to check how many clusters are up and running and how many clusters are accepting the workloads from the users. One of the best features that Komodor offers is Cloud AI, which debugs all the logs and gives the exact root cause for the issue. From there, we know we do not need an engineer who is an expert in Kubernetes to debug the issue. Cloud AI has definitely helped my team by saving time, not in a single instance but in multiple cases where we have used Cloud AI for debugging issues in the Kubernetes pods. Komodor has positively impacted our organization. Since adopting it, all the issues we faced while managing Rancher are gone, and we are seeing 100% availability for Komodor. 100% availability with Komodor means there have been improvements in uptime and productivity. For instance, when application teams want to deploy their applications, if Rancher is not up or running, the deployments usually fail at the deployment stage. In the case of Komodor, there have been no such cases reported after adopting it. We saw 100% uptime most of the time, except for some issues with AWS outages.
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
Computer Software Company
16%
Comms Service Provider
10%
Media Company
9%
Financial Services Firm
8%
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 Business1
Midsize Enterprise4
Large Enterprise2
By reviewers
Company SizeCount
Small Business20
Midsize Enterprise10
Large Enterprise47
 

Questions from the Community

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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

Information Not Available
Sunrun, Yelp, Onshape, Tapjoy, Symphony Commerce, Chairish, Clever, Grovo, Bazaar Voice, Zenefits, Avalara
Find out what your peers are saying about Komodor vs. Splunk Observability Cloud and other solutions. Updated: December 2025.
881,114 professionals have used our research since 2012.