

Splunk Observability Cloud and Komodor compete in the observability and monitoring space. Splunk appears to have the upper hand due to its extensive features and customization capabilities.
Features: Splunk Observability Cloud offers robust features including customizable dashboards, real-time metrics, and seamless data integration. It provides rapid alerting and end-to-end visibility, making it highly scalable. Komodor provides quick issue identification and troubleshooting with its event timeline and logging features, but lacks the comprehensive view and customization capabilities of Splunk.
Room for Improvement: Splunk could enhance pricing transparency and improve the log management and search experience. User interface improvements and a smarter alerting system could enhance user experience. Komodor could improve its visibility of entire clusters, offer enhanced customization, and refine features like alerts for deeper insights.
Ease of Deployment and Customer Service: Splunk Observability Cloud offers flexibility across cloud and on-premises environments and receives positive feedback on customer service, though some find technical support inconsistent. Komodor is praised for its effective customer support, but could benefit from improvements in deployment configurability.
Pricing and ROI: Splunk Observability Cloud is perceived as expensive but offers ROI benefits like increased productivity. Its pricing is standard among high-end competitors and sometimes negotiable. Komodor's affordable licensing makes it suitable for startups, but costs may rise with resource increases.
We saw around ninety percent ROI using Komodor.
It saves us time in investigating, providing a clear root cause on a timeline, which is a significant time-saving aspect.
We have saved considerable amounts of money, reducing our expenditures from around three to four crores to approximately one to one point two crores.
We have been able to save a great deal of money, and our profits have increased by twenty percent.
Using Splunk has saved my organization about 30% of our budget compared to using multiple different monitoring products.
I would rate the customer support from Komodor a ten 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.
The customer support system is the foundational pillar of any successful business.
Komodor is very highly scalable in terms of infrastructure and in terms of the number of nodes we use.
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.
We have never seen any kind of downtime or crashes, as it has been absolutely very easy to scale.
Komodor is reliable and accurate.
When downtime occurs, it raises concerns about how we measure and receive alerts, as everything needs to be in place.
Splunk Observability Cloud is very stable.
It is highly scalable because it can handle approximately up to one hundred applications at a time without any lapse or lag.
Having richer logs and metrics directly inside Komodor would reduce context switching.
There are some features related to the platform that are missing in Komodor, such as Tigera status or CNI pods.
I think if Komodor had automated remediation workflows, it would be great.
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 should be a solution to update OTeL agents from Splunk Observability Cloud itself.
Compared with Rancher or any other tools, Komodor is priced cheaply and available at a fair price.
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.
I can confidently say our availability improved by forty percent, and downtime was reduced by approximately seventy to eighty percent.
But in this company, we use Komodor, and I see everything in one timeline. I immediately understand what changed, and it takes me straight to the root cause.
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.
The best features Komodor offers include change intelligence, root cause analysis, and a unified timeline, which provides a unified view of deployments, rollbacks, configuration changes, and cluster events and alerts while monitoring Kubernetes health.
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.
| Product | Mindshare (%) |
|---|---|
| Splunk Observability Cloud | 1.5% |
| Komodor | 1.9% |
| Other | 96.6% |
| Company Size | Count |
|---|---|
| Small Business | 2 |
| Midsize Enterprise | 5 |
| Large Enterprise | 2 |
| Company Size | Count |
|---|---|
| Small Business | 33 |
| Midsize Enterprise | 9 |
| Large Enterprise | 56 |
Komodor offers enhanced visibility and centralized event timelines for Kubernetes environments, enabling efficient debugging and proactive management across multiple clusters.
Komodor provides a comprehensive platform for troubleshooting and monitoring Kubernetes deployments. It aids in root cause identification, deployment notifications, and tracking historical changes while maintaining real-time metrics and retained logs. The platform supports efficient CI/CD pipeline management and visualizes application workloads, ensuring developer productivity without requiring deep Kubernetes knowledge. Seamless onboarding and Cloud AI integration offer accurate problem diagnosis, enhancing workflow visualization and service operations insights.
What are Komodor's key features?In industries adopting Komodor, it facilitates robust management of Kubernetes environments, enhancing troubleshooting efficiency and deployment monitoring. Organizations benefit from proactive issue identification, CI/CD pipeline management, and centralized access that empowers developers to interact with Kubernetes without extensive platform exposure. The tool's ability to support multi-cluster setups is crucial for maintaining operational stability across cloud platforms.
Splunk Observability Cloud offers sophisticated log searching, data integration, and customizable dashboards. With rapid deployment and ease of use, this cloud service enhances monitoring capabilities across IT infrastructures for comprehensive end-to-end visibility.
Focused on enhancing performance management and security, Splunk Observability Cloud supports environments through its data visualization and analysis tools. Users appreciate its robust application performance monitoring and troubleshooting insights. However, improvements in integrations, interface customization, scalability, and automation are needed. Users find value in its capabilities for infrastructure and network monitoring, as well as log analytics, albeit cost considerations and better documentation are desired. Enhancements in real-time monitoring and network protection are also noted as areas for development.
What are the key features?In industries, Splunk Observability Cloud is implemented for security management by analyzing logs from detection systems, offering real-time alerts and troubleshooting for cloud-native applications. It is leveraged for machine data analysis, improving infrastructure visibility and supporting network and application performance management efforts.
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