Nutanix Kubernetes Engine NKE [EOL] vs Splunk Observability Cloud comparison

Nutanix and Splunk are both solutions in the Container Management category. Additionally, 100% of Nutanix users are willing to recommend the solution, compared to 95% of Splunk users who would recommend it.

Nutanix Kubernetes Engine N...

Read 14 Nutanix Kubernetes Engine NKE [EOL] reviews

100% willing to recommend

Splunk Observability Cloud

Read 89 Splunk Observability Cloud reviews

21,908 Views
1,095 Comparison Views

95% willing to recommend

Nutanix Kubernetes Engine N...

Splunk Observability Cloud

Comparison Buyer's Guide

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Executive SummaryUpdated on Sep 1, 2025

Splunk Observability Cloud and Nutanix Kubernetes Engine NKE operate in distinct segments, with Splunk targeting application performance monitoring while Nutanix focuses on Kubernetes engine provisioning. Splunk holds an advantage in data integration and analytics, whereas Nutanix emphasizes ease of use and integration with its ecosystem.

Features: Splunk Observability Cloud offers advanced data integration, log searching, and the ability to create custom dashboards, providing comprehensive monitoring with numerous out-of-the-box solutions. Nutanix NKE is known for its straightforward deployment, management capabilities, and virtualization features, appealing to those seeking efficiency and simplicity.

Room for Improvement: Splunk could enhance log navigation, reduce costs, and improve integration with security tools. Users suggest better automated processes and third-party connectivity. Nutanix NKE needs improved documentation, advanced Kubernetes functionality, and enhanced scaling and backup processes to support complex configurations.

Ease of Deployment and Customer Service: Splunk supports versatile deployment across hybrid and multi-cloud environments but could improve responsiveness in customer support. Nutanix NKE is praised for easy on-premises deployment and straightforward technical support, though limited third-party integration may pose challenges.

Pricing and ROI: Splunk's pricing is seen as high, yet it offers a strong return on investment via improved efficiency and visibility. However, competitive pricing pressures exist. Nutanix NKE is considered more economical, especially when included with its broader solution stack, offering stability and operational ease, contributing to positive ROI.

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Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Categories and Ranking

Nutanix Kubernetes Engine N...

Average Rating

7.6

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

No ranking in other categories

Splunk Observability Cloud

Average Rating

8.2

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

Application Performance Monitoring (APM) and Observability (5th), Network Monitoring Software (7th), IT Infrastructure Monitoring (4th), Cloud Monitoring Software (4th), Container Management (5th), Digital Experience Monitoring (DEM) (3rd)

Featured Reviews

reviewer2741271

Nutanix Administrator at a consultancy with 10,001+ employees

Has provided seamless upgrade experiences and robust technical support

I have heard there are many features added in NKP that are not available in Nutanix Kubernetes Engine NKE, such as load balancer features. The unified control plane feature is not being used in Nutanix Kubernetes Engine NKE. We are currently using a third-party tool for load balancing, but going forward, NKP will include load balancer, ingress, and egress features, making infrastructure management much easier. There is no auto-scaling feature in Nutanix Kubernetes Engine NKE; however, NKP offers it. In NKE, we created additional worker nodes and increased CPU and RAM capacity, but it required manual intervention. Concerning policy-driven governance in Nutanix Kubernetes Engine NKE, we have the ability to implement RBAC at the cluster level, which helps maintain security by not granting full admin privileges to every end user, thus restricting access effectively.

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Purnambica Kolavennu

Project Manager at AGRICULTURE SKILL COUNCIL OF INDIA (ASCI)

Unified observability has improved real-time governance and now drives data-led decisions

Log Observer Connect is embedded here, but we are facing some delays in centralized log collection and analysis, which can be further fastened. We are collecting all the data metrics and decision-making insights, but all these data-driven decisions coming from different applications are not connected somewhere. A consolidated form or correlation of these insights is not happening between each other due to which we feel we are missing something significant. Some generalized feedback includes that predictive alerts or alarms which can be integrated with AI-driven alarms and alerting features should be established so that there is AI-driven intelligence and anomaly detection happening with a complete systematic process in service delivery. Application dependencies are huge, and business and operational dashboards should be improved. Right now there are very interactive custom dashboards, and every now and then, the personalization of enhancements keeps happening. KPI monitoring, executive reporting, and analytics have definitely been introduced to a great extent. There are few things in cloud-native monitoring, such as integration with AWS and Azure, where we sometimes do face lags. Those things can definitely be improved upon. I have used Datadog and Dynatrace before using Splunk Observability Cloud. Datadog was definitely recommended by most of our peers because of its very strong comprehensive observability and very strong and unique dashboard systems. Dynatrace was also very good because they have offered a lot of AI-driven analysis methods and processes, which was helping our organization a lot. Since our organization has a very strong IT ecosystem for agriculture, very different kinds of customized things are required.

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Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"The most valuable features of the Nutanix Kubernetes Engine (NKE) are its simplicity and efficiency during the initial cluster creation phase."

"We can add some add-ons and plugins to the product if we need to."

"Karbon is embedded in the hypervisor, there are no deployment costs and the administration is via Prism Central."

"The solution is easy to manage. You can get everything in a single platform. It is also easy to work with Terraform as a code."

"Nutanix is very stable and reliable, based on my experience with many customers, including large banks and telcos."

"I would recommend using this product, it's very good."

"Scalability-wise, I rate the solution a ten out of ten."

"My experience with Nutanix's technical support is excellent."

More Nutanix Kubernetes Engine NKE [EOL] pros

"The solution has significantly helped improve my operational performance and my company's resilience by providing real-time insights."

"After moving to Splunk Observability Cloud, it is almost zero downtime."

"The best feature of this product is the latency and processing of all the telemetry that is being received, which gives full visibility at the right time."

"The feature I find most valuable, is the data integration."

"The best features in Splunk Observability Cloud are the metrics; I can see any logs or anything related to the server or services we want to monitor, and the metrics are a good function."

"Once configured correctly, the analysis reporting the Splunk APM provides is better than that of the other APM tools."

"Comparing to Cloud, Splunk Cloud, or any other solution, the most valuable feature of Splunk Observability Cloud is that it is entirely based on metrics."

"Splunk Observability Cloud has helped improve my operational performance; previously, we used Elastic for similar purposes, and this has allowed us much more visibility into what we're working on with usable dashboards and metrics, which has been awesome."

More Splunk Observability Cloud pros

Cons

"I have issues with the product's interoperability."

"It's mostly for lab purposes; we haven't seen a lot of traction in the market from enterprise customers yet."

"Areas for improvement in Nutanix Kubernetes Engine (NKE) include upgrading management capabilities and enhancing the user interface for improved usability."

"I would like to have more nodes for availability and storage."

"GUI lacks sufficient information to help with understanding the installation and process."

"The product lacks some virtualization capabilities, making it an area for improvement where the solution can focus on providing users with more virtualization capabilities related to disk systems."

"NKE could benefit from additional features that support more advanced Kubernetes functionalities and configurations."

"There is no auto-scaling feature in Nutanix Kubernetes Engine NKE; however, NKP offers it. In NKE, we created additional worker nodes and increased CPU and RAM capacity, but it required manual intervention."

More Nutanix Kubernetes Engine NKE [EOL] cons

"Splunk Infrastructure Monitoring's data analytics can be improved by including suggestions for various types of continuous monitoring."

"This solution is difficult to configure and the instructions are complex."

"The pricing would be one area for improvement."

"Splunk isn't an ideal tool for application performance management due to the extensive setup required."

"I would say that it is quite helpful, but for different kinds of applications, it could be improved because sometimes it might provide a cloud judgment of the root cause analysis."

"In Splunk Observability Cloud, I notice room for improvement in synthetic monitoring. It does not provide output based on server names."

"If a customer utilizes third-party tools and wants to forward data from Splunk Observability Cloud, seamless integration would be beneficial."

"The learning curve for understanding all features should be improved, and the cost can increase."

More Splunk Observability Cloud cons

Pricing and Cost Advice

"I rate the product price a five on a scale of one to ten, where one is cheap, and ten is expensive."

"I rate NKE's pricing a six out of ten."

"While deploying Kubernetes clusters on Nutanix is cost-effective, there may be additional costs for remote branch offices where Kubernetes is less common."

"The platform is averagely priced. I rate the pricing as four out of ten."

"The product's licenses are included in the software version deployed in our data center."

"Splunk APM is a very cost-efficient solution."

"The solution's pricing is competitive. I rate the solution's pricing a seven out of ten. The price of the solution could be cheaper."

"Splunk offers a 14-day free trial and after that, we have to pay but the cost is reasonable."

"It is expensive."

"It appears to be expensive compared to competitors."

"Splunk has been fairly expensive, but it has been predictable."

"Splunk Observability Cloud is expensive."

"The product is a bit expensive considering the competition but the company may negotiate the price."

More Splunk Observability Cloud pricing and cost advice

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Top Industries

By visitors reading reviews

Manufacturing Company

11%

Computer Software Company

11%

Government

Financial Services Firm

11%

Manufacturing Company

Construction Company

Computer Software Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	10
Midsize Enterprise	2
Large Enterprise	4

By reviewers
Company Size	Count
Small Business	33
Midsize Enterprise	9
Large Enterprise	56

Questions from the Community

What needs improvement with Nutanix Kubernetes Engine NKE?

In terms of features, I cannot comment technically, but the real value is the consolidated out-of-the-box solution that Nutanix offers. Nutanix has built great branding and a lot of credibility and...

See all answers

What is your primary use case for Nutanix Kubernetes Engine NKE?

I have experience with OpenShift, Kubernetes, and Nutanix, as we are one of the largest Nutanix resellers in the Middle East. We handle Kubernetes on the cloud as well, so we manage most of the Kub...

See all answers

What advice do you have for others considering Nutanix Kubernetes Engine NKE?

I don't have a technical role, but we are a system integrator, so we sell solutions such as OpenShift and Kubernetes as part of the sales team. We are a reseller called eSky IT, and I serve as the ...

See all answers

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...

See all answers

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 ...

See all answers

What advice do you have for others considering SignalFx?

We're a customer and end-user. Currently, in France, we cannot use the artificial intelligence option. While this option is enabled for the United States and many countries, it's not yet available ...

See all answers

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Product Reports

Buyer's Guide

Nutanix Kubernetes Engine NKE [EOL]

July 2026

Nutanix Kubernetes Engine NKE [EOL] report

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Buyer's Guide

Splunk Observability Cloud

July 2026

Download Splunk Observability Cloud product report

Also Known As

Nutanix Karbon

Splunk Infrastructure Monitoring, Splunk Real User Monitoring (RUM), Splunk Synthetic Monitoring

Overview

Nutanix Kubernetes Engine NKE [EOL] offers easy deployment, efficient resource management, and seamless integration with existing infrastructure, supporting virtualization and configurable RBAC.

Nutanix Kubernetes Engine NKE [EOL] simplifies Kubernetes cluster deployment and management, offering robust features such as health checks and seamless upgrades. It integrates with existing systems, supports virtualization, and provides a unified console. Automatic load management and scalability contribute to its stability. Though migrating via VMware poses challenges and documentation updates are needed, potential enhancements include dynamic resource scaling, advanced backup options, and improved disaster recovery. NKE is ideal for microservices, container management, and application modernization, playing a vital role in DevOps settings.

What are the key features of Nutanix Kubernetes Engine NKE [EOL]?

Easy Deployment: Simplifies cluster setup and management for quick ramp-up.
Resource Allocation: Efficiently allocates computing resources for optimized operations.
Seamless Upgrades: Handles updates without causing downtime.
Integration: Works with existing infrastructure, allowing virtualization support.
Console Management: Offers a single interface for robust management features.

What benefits should users look for in Nutanix Kubernetes Engine NKE [EOL]?

Cost-Effectiveness: Provides a reliable Kubernetes platform with reduced operational costs.
Scalability: Ensures stability and growth alongside increasing demands.
Support Features: Includes robust technical support for a seamless experience.
Efficiency: Enhances workload management in DevOps environments.
Configurable Options: Allows tailored RBAC and scalable virtualization benefits.

Nutanix Kubernetes Engine NKE [EOL] is deployed in industries focusing on microservices and application modernization, serving development to testing environments. It integrates with hardware and API tools, supporting DevOps workloads and infrastructure management. Primarily used on-premises, it supports large-scale application deployment leveraging network capabilities.

Nutanix

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?

Log Searching: Efficiently search and analyze logs from various sources.
Data Integration: Seamlessly integrate with multiple environments.
Dashboard Customization: Tailor dashboards to specific monitoring needs.
Monitoring Capabilities: Provides comprehensive insights into application performance.
Security Features: Analyze and address security threats across systems.
Visualization Tools: Enhance data analysis and system performance optimization.

Why consider this for ROI?

Comprehensive Visibility: Gain complete insights into IT infrastructure.
Performance Optimization: Improve overall system performance and efficiency.
Rapid Deployment: Quick setup to meet organization demands swiftly.
Enhanced Security: Strengthen security measures through detailed analytics.

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.

Splunk

Sample Customers

JetBlue, International Speedway Corporation, SAIC Volkswagen

Sunrun, Yelp, Onshape, Tapjoy, Symphony Commerce, Chairish, Clever, Grovo, Bazaar Voice, Zenefits, Avalara

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