Dynatrace vs Nutanix Kubernetes Engine NKE [EOL] comparison

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

Dynatrace

Read 359 Dynatrace reviews

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95% willing to recommend

Nutanix Kubernetes Engine N...

Read 14 Nutanix Kubernetes Engine NKE [EOL] reviews

100% willing to recommend

Dynatrace

Nutanix Kubernetes Engine N...

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Executive SummaryUpdated on Sep 1, 2025

Dynatrace and Nutanix Kubernetes Engine NKE [EOL] compete in the application performance monitoring and Kubernetes management space, respectively. Dynatrace tends to have the upper hand due to its advanced features and comprehensive monitoring capabilities.

Features: Dynatrace provides user experience monitoring, transaction analysis, and PurePath technology for deep insights into code behavior. It requires minimal administration post-installation and offers robust flexibility with dynamic reporting. Nutanix Kubernetes Engine NKE [EOL] integrates seamlessly with Nutanix's hyper-converged infrastructure, providing ease of use and quick deployment integrated with the hypervisor.

Room for Improvement: Dynatrace users have highlighted issues with its complex pricing model, occasional sluggishness in the user interface, and difficulties with certain integrations. Nutanix Kubernetes Engine NKE [EOL] needs improvements in scalability, support for high-performance computing, and seamless integration with other platforms. Both products can enhance support for complex use cases and management features.

Ease of Deployment and Customer Service: Dynatrace supports diverse deployment options including on-premises, hybrid, and public cloud, and offers commendable customer service, although response times for complex issues could be improved. Nutanix Kubernetes Engine NKE [EOL] is primarily on-premises with positive customer feedback but suggestions for enhanced support efficiency.

Pricing and ROI: Dynatrace is known for premium pricing which some consider high but justified by its extensive features, offering high ROI for larger enterprises with improved issue resolution and resource management. Nutanix Kubernetes Engine NKE [EOL] provides a more affordable structure, appealing to existing Nutanix users with good value through built-in hypervisor capabilities, though its ROI impact is less emphasized compared to Dynatrace.

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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

Dynatrace

Average Rating

8.8

Reviews Sentiment

7.0

Number of Reviews

359

Ranking in other categories

Application Performance Monitoring (APM) and Observability (2nd), Log Management (6th), Mobile APM (3rd), Container Monitoring (2nd), AIOps (2nd), AI Observability (3rd)

Nutanix Kubernetes Engine N...

Average Rating

7.6

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

No ranking in other categories

Featured Reviews

Manish Indupuri

senior DevOps engineer at a tech services company with 10,001+ employees

AI-driven insights have reduced downtime and improved cross-team collaboration

We encountered some challenges while using Dynatrace. Although the initial setup was smooth, fine-tuning alert thresholds and custom metrics took some time. Another challenge was that Dynatrace charges based on host units, so we had to carefully plan our agent deployments. The licensing model is expensive. Additionally, the complexity of setup is an issue. While OneAgent and auto-discover services are powerful, the setup is more complex compared to other tools such as Prometheus and Grafana. These integrations are simple and basic, but Dynatrace setup requires more complexity based on the environment. For new users wanting to use Dynatrace, it is difficult. However, the AI-related solutions and metrics took us to the next level for identifying and fixing things. Dynatrace requires an agent for operation. OneAgent is powerful, but it is also resource-heavy. On lightweight nodes or older systems, the agent can slightly impact performance. If Dynatrace could implement a lightweight agent behavior, we could make things faster. Additionally, if Dynatrace could add a long-term retention policy so that we could store more data and find fine-grained details, that would help us. While Dynatrace managed edition supports on-premises deployment, the SaaS version depends on cloud connectivity. For highly regulated or air-gapped environments, setup and updates can be challenging. Although the initial setup is smooth, if someone wants to fine-tune it and fully understand the tool end-to-end, it could be tricky.

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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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Quotes from Members

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

Pros

"Email alert and mobile app alert are very useful for informing the team that something is going wrong."

"I would definitely recommend this solution, because it has all of the new features coming with Dynatrace OneAgent."

"We can see issues that occur, sometimes before the clients do. Before we have client (or end user) calls for issues, we are able to start troubleshooting and even resolve those issues. We can quickly identify the root cause and impact of the issues as they occur, and this is very helpful for providing the best client experience."

"Reduced incidents, as alert monitoring aids in quicker resolution of events."

"Dynatrace covers the important tiers and allows us to quickly find trends and root causes in all our critical application lifecycle steps (Ops, Dev, and Performance)."

"Reduced MTTR, thanks to smart problem detection and automated root cause analysis."

"We like the alerting feature. For example, my applications are going out on some thresholds. So I get alerts, according to the thresholds I set. I get that data via emails as notifications."

"Dynatrace solved various kinds of Ops / DevOps issues for our customers including bad code, bad configurations, operational issues, etc."

More Dynatrace pros

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

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

"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."

"The solution provides no downtime features. If we face issues, we create a new port, deploy it there, and then drop the existing one. This way, we avoid NKE downtime on our website."

"The product integrates well with our infrastructure."

"The technical support is excellent."

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

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

More Nutanix Kubernetes Engine NKE [EOL] pros

Cons

"If we can gain more insight into older applications, using not-so-recent technologies, then it would be a plus."

"Where we are struggling is being able to pull that information out and combine it with other contextual information that we have in other sources. Mining that data in a big-data environment, and joining it together and coming up with larger types of analysis on it."

"The business use case is that most people want to see how many orders came in. I'd like to be able to get data out of JavaScript tags, and capture more data. I think that would make it much more useful, rather than using Google Analytics. Instead, have one tool to capture all the stack, that would make it easy."

"The pricing is a little high, but still cheaper than competitors because Dynatrace at least has pay-as-you-go."

"The container platform could include more value-added features."

"The extending of Dynatrace with plugins can be better."

"Improvements are needed in the navigation and time-frame selection when browsing problems, sometimes the time-frame set changes and I need to re-set it again, plus I find the navigation bar on the top left quite cumbersome."

"We'd like it to be more user-friendly, which, in our case, might be a big ask as we have a fairly complex environment."

More Dynatrace cons

"One major issue we faced was that appliances couldn't migrate from VMware to the tool. However, this seems to be a common problem across platforms. We've seen the same issue when migrating from VMware to RHV or other solutions. It's not specifically a Nutanix problem but rather an issue migrating appliances from one VM infrastructure to another. Some kernel-level and storage-level issues impact this process."

"There have been challenges related to software bugs, especially regarding long-term licensing options and issues within our customer network."

"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."

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

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

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

"In the next release, I would like to have automatic dynamic scaling, both upscaling and downscaling."

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

More Nutanix Kubernetes Engine NKE [EOL] cons

Pricing and Cost Advice

"A Dynatrace partner will always be willing to give you a trial. Go through the trial to see if there is a benefit for your company."

"The solution is not cheap."

"The cost is somewhat high."

"We found an issue within the first week of ownership that has been costing us more than the entire license cost."

"Setup cost is very low considering that it is an almost totally, automatic process."

"Make sure your leadership buy-in is in place. Ensure leadership understands that an APM solution is a fairly expensive, so they know what they are getting into."

"Pricing can be high, especially for Portuguese standards. But as one says, you get what you pay for."

"Dynatrace is the most expensive APM that we sell, compared to competitors' products. The license pricing could be improved. My customers pay for licensing yearly."

More Dynatrace 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."

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

"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."

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

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Top Industries

By visitors reading reviews

Financial Services Firm

19%

Manufacturing Company

Outsourcing Company

Computer Software Company

Manufacturing Company

11%

Computer Software Company

10%

Government

Financial Services Firm

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	80
Midsize Enterprise	50
Large Enterprise	299

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

Questions from the Community

Any advice about APM solutions?

The key is to have a holistic view over the complete infrastructure, the ones you have listed are great for APM if you need to monitor applications end to end. I have tested them all and have not f...

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What cloud monitoring software did you choose and why?

While the environment does matter in the selection of an APM tool, I prefer to use Dynatrace to manage the entire stack. Both production and Dev/Test. I find it to be quite superior to anything els...

See all answers

Any advice about APM solutions?

There are many factors and we know little about your requirements (size of org, technology stack, management systems, the scope of implementation). Our goal was to consolidate APM and infra monitor...

See all answers

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

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Product Reports

Buyer's Guide

Dynatrace

August 2026

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Buyer's Guide

Nutanix Kubernetes Engine NKE [EOL]

July 2026

Nutanix Kubernetes Engine NKE [EOL] report

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Also Known As

No data available

Nutanix Karbon

Overview

Dynatrace offers AI-driven root cause analysis, full-stack observability, and more. Its seamless integration and automated alerts enhance operational efficiency for application performance monitoring across diverse environments.

Dynatrace provides users with comprehensive tools for proactive monitoring, leveraging AI-powered insights to detect bottlenecks and monitor user behavior. It enhances system dependency visualization via Smartscape and offers deep transaction insights through PurePath. Session Replay captures real user experiences, while custom dashboards emphasize essential metrics. Integration capabilities and seamless deployment are key, though users face challenges with navigation, integration, and licensing. Enhancing third-party training tools and optimizing real-time AI diagnostics is desired, with demands for better database monitoring reports and simpler UI.

What are Dynatrace's key features?

AI-Driven Root Cause Analysis: Identifies issues with precision.
Full-Stack Observability: Monitors across all platforms.
Smartscape: Visualizes system dependencies.
PurePath: Provides transaction flow insights.
Session Replay: Captures user interactions.
Custom Dashboards: Focuses on essential metrics.
Automated Alerts: Minimizes downtime.

What benefits should users consider?

Operational Efficiency: Enhances performance management.
Seamless Deployment: Reduces manual intervention.
Integration Capabilities: Ensures smooth system coexistence.
User Experience Insights: Tracks behavior and reliability.

Dynatrace is implemented in industries like finance for monitoring infrastructure and user experience. In manufacturing, it helps ensure system reliability. Its AI-driven approach is crucial for cloud deployments, supporting performance optimization and proactive monitoring.

Dynatrace

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

Sample Customers

Audi, Best Buy, LinkedIn, CISCO, Intuit, KRONOS, Scottrade, Wells Fargo, ULTA Beauty, Lenovo, Swarovsk, Nike, Whirlpool, American Express

JetBlue, International Speedway Corporation, SAIC Volkswagen

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