Dynatrace Reviews

There are three major things that I look for. The first is that it is undoubtedly tier one, as per Gartner. This lowers the risk of product performance. Dynatrace has a good presence from an APM perspective, application performance perspective, where it can be easily configured. 

There are many adapters and solutions available in the market. In every organization, like ours, there are a few more built-in adapters. 

From an enterprise perspective, due to the higher cost, higher stability, and several considerations for high-level architecture, I take care of security perspectives, providing a stable solution. 

For system integrators, it is good from an operational perspective since there are many SLAs, so larger organizations generally opt for tier one solutions where they can have fewer operational issues, avoiding SLA penalties.

Graduation features offered by Dynatrace provide a single view and can connect with many other monitoring systems. Importantly, it delivers real-time insights. 

Additionally, Dynatrace positively impacts my organization in various ways.

There may be an issue since there are many tools like Splunk involved in network monitoring. From an IP perspective, Dynatrace is performing well. If they want to develop in network monitoring, they can, as it's part of their product line. It's not rocketry, so they can accomplish it. If I, as an SI, look at it from an enterprise perspective, considering the cost from the client, I prefer not to go with multiple systems, as they don't provide a complete 360-degree view. They need to improve on claims about being an enterprise system. The definition of enterprise is loosely used, however, from a holistic security perspective, including infrastructure, network, ports, software, applications, transactions, and databases, there are areas lacking, especially in network monitoring tools.

I have used the solution for the last four years, just for four years only.

Stability depends on the deployment, the person deploying it, and how the configuration is done. Generally, all are stable at ninety-nine point nine nine percent, but if the underlying infrastructure is not deployed correctly, stability may be problematic. This is a very relative term, and no software can exist alone at ninety-nine point nine percent. If the infrastructure doesn't support it, it cannot exist as standalone. Deployment location, whether in triple nine data centers, double nine data centers, or other types, also matters. If power is lost, stability is affected, depending on how it's deployed.

Scalability is easy. All opportunities work on the agent number and server transactions that need monitoring. If you include those things, some are agent-based, and some are agentless. The monitoring is done based on licenses, like tier or enterprise licenses. It depends on what the client is looking for. If it's an enterprise, increasing the number of instances doesn’t pose problems.

Their support system is good. I would rate them at 9.5 out of ten. People generally don't pursue it since it's a monitoring system itself. They have a good reputation, and the support is commendable. People are helpful, even with delivery and other related aspects. I use their excellent support system.

Anand, this is reflective work. These setups are complex, meaning significant thought is required. It's a relative aspect, however, developers could have clearer insights. Today, products in the market are packaged, just requiring configuration. Collecting logs, tagging events, and other aspects are relatively straightforward and not considered complex.

Determining ROI is subjective. Monitoring is passive, merely aiding business processes and not active within them. ROI is hard to specify; however, incidents like impending ransomware attacks highlight its value, though those are exceptional events. Return on investment in predictive analytics and AI tools is minimal, given the passive nature of these systems.

Clients sometimes opt for alternatives based on budget constraints. If the budget is small, tier two solutions like Elasticsearch may be considered. It varies by location, like in Singapore, where tier two solutions are viable options.

I give the solution nine out of ten. Enterprises typically choose Dynatrace, especially when the IT system budget is around a $100 to $200 million. Investing an additional $120 million makes sense. If your system is worth $50 million, the investment doesn’t exceed 1.2%. ROI considerations are tied to observability, dependent on how the business values these aspects.

I see you did the research into Dynatrace and OpenTelemetry on the website. Are you an expert or user of this product? Let me confirm that you say you're just a user of Dynatrace. Are you a customer? We have your email as ptorres@bankinter.com.

Could you mention some advantages of this product?

Some new features could be added to Dynatrace to make it better. Can you mention some examples of what new functions can be added to Dynatrace to make it better?

What about maintenance? Is it easy to support and maintain the product?

What about the stability of Dynatrace? Do you think the solution is very stable, or maybe you see some glitches or latency issues sometimes?

What about the scalability of Dynatrace? Do you think the solution is scalable or maybe there are some limitations on the scalability part?

What rating would you give to technical support from Dynatrace? 1 is bad support, 10 is very good support?

Positive

What about installation? Is it easy to install, or can installation be difficult?

Does the solution save you time and money? Is it effective for time and money or not effective?

If I would ask you to rate price from 1 to 10, where 1 is cheap and 10 is expensive, how many points would you give to it? Is price the main problem or do you have some other problems with the product?

Buenos días. I apologize for interrupting. This position is for an IT Project Manager. As for this review, we will publish it on the website on peerspot.com in written or audio formats. If you want to stay anonymous, your name will not appear with the review. You will get notifications and the use of the review is subject to PeerSpot's terms of use. You can access it at peerspot.com/tos. We can send you an email with all of this if you want to. The reviewer gave this solution a rating of nine out of ten.

Whenever we do any kind of performance or load testing with Dynatrace, we monitor the environment using service dashboards, deep distribution tracing, analyzing response time hotspots, method hotspots, and understanding the service flow while correlating all this with our load testing results and sharing the feedback with the stakeholders.

We don't use anything related to CI/CD on Dynatrace, but we use it through LoadRunner Enterprise.

I find the classic service analysis, service analysis, distribution tracing, and the technology stack that it shows most valuable about Dynatrace, along with the Scape View. I'm unable to pronounce the exact name, but there is a Scaped View, Scaled View, or Scape View where I can see all the environments and how they are configured.

We use AI-powered anomaly detection from Dynatrace, specifically Davis AI log analysis.

The effectiveness of Dynatrace's user experience monitoring is very useful.

I'm using Dynatrace for full-stack monitoring.

I think Dynatrace almost looks good, but I believe we should improve how we can integrate with AI. I'm specifically looking at AIOps and how we can monitor AIOps-related things, considering we have LLMs and all that stuff. I don't see those monitoring capabilities for NVIDIA chips, NPUs, GPUs, or anything similar, and maybe it has them, but unfortunately, I lack the knowledge to understand where I can view all those things.

I've been working with Dynatrace for nearly five years.

I would rate the stability of Dynatrace approximately between nine and ten.

The ability to scale and expand in Dynatrace rates around nine to ten altogether.

For Dynatrace tech support, we have a dedicated team here, which is easily reachable, so I rate it around nine to ten.

Positive

I'm not using AppDynamics currently. We used to use it, but now we are using Dynatrace. I moved to Dynatrace completely from AppDynamics.

Dynatrace is basically set up by a Dynatrace admin. OneAgent is installed on one machine, and the entire thing gets monitored through Dynatrace.

JMeter and BlazeMeter are the other vendors I'm working with. I'm only using JMeter from Apache, not using Tomcat or something similar.

The main benefit of Dynatrace is that it's easy to understand where exactly the issue is. When you see the PurePath, you know which particular machine or hop the application is having an issue with, allowing us to easily drill down to what is happening with the application. If something is happening on the UI, you want to understand what's wrong with the request, and to do that, you need to analyze Dynatrace to easily understand the root cause and where exactly you're seeing the issue.

The Dynatrace license is at the client's location; the client has purchased it, and we just use it.

Without any doubt, Dynatrace is preferable compared to AppDynamics. The main reason why Dynatrace is better is that you can see everything in one go; it includes log analysis, AWS analysis, component level analysis, PurePaths, distribution tracing, real user metrics, mobile metrics, all in one particular tool, one solution.

On a scale of 1-10, I rate Dynatrace a 10.

On-premises

Amazon Web Services (AWS)

We decided to integrate Dynatrace primarily to monitor the availability and latency of our applications. We have a significant number of applications, and we needed a system that could manage their availability. Previously, we lacked evidence to show whether an application was available when a customer raised an issue. With Dynatrace, we can verify this information, even after a month.

Dynatrace offers exceptional features compared to other monitoring tools. It allows the creation of different dashboards related to application availability and server latency. The integration with Power BI for generating detailed reports is a standout feature. Furthermore, the automation of alert management, which integrates with ticketing systems to automatically raise and assign tickets, is a significant advantage over tools like Centreon. Dynatrace also integrates with AI tools to generate business reports.

When making comparisons with other tools, Dynatrace stands out, but it is a bit complex to understand and implement on servers. There are occasional issues with language and text, which can be frustrating. Despite this, it remains superior to Centreon.

I started using Dynatrace six months ago.

There have been no stability issues with Dynatrace. It is well-maintained and, being supported by cloud infrastructure, we have experienced no interruptions.

We have faced no scalability or reliability issues with Dynatrace. Everything functions smoothly.

The technical support from Dynatrace is excellent. Recently, we had an issue, and the support team resolved it within 20 to 25 minutes. Their support is very fast and effective.

Positive

In the past, I used Icinga and Centreon. Compared to these, Dynatrace remains the top priority. Its features surpass the typical expectations for monitoring tools.

The implementation of Dynatrace was handled by a different team, so I don't have insights into their process.

The integration of Dynatrace has allowed us to monitor application stability and create business reports. However, I haven't quantified the ROI.

Dynatrace is known to be costly, which delayed its integration into our system. However, the advanced features it provides are unmatched, making it a valuable investment for organizations with a higher budget.

I highly recommend Dynatrace for organizations with a significant budget because it decreases resource costs and manpower. It is a versatile tool for IT organizations, providing features that are beneficial for comprehensive application monitoring. I rate Dynatrace a 9 out of 10.

Public Cloud

Amazon Web Services (AWS)

Our primary use case for Dynatrace is full-stack monitoring. We use it to monitor the performance and availability of our applications, infrastructure, and services. It helps us quickly detect issues, analyze user behavior, and perform root cause analysis using AI-powered insights.

Dynatrace has significantly improved our organization by providing full-stack visibility and automated root cause analysis. It helps us detect and resolve issues faster, reduce downtime, and improve user experience. The OneAgent simplifies deployment, and the AI-powered insights allow our team to focus on innovation instead of firefighting.

We use Dynatrace full-stack monitoring because it allows us to trace issues across the entire stack — from user interactions to backend infrastructure. It’s very effective for identifying where problems occur, making it highly valuable for end-to-end observability.

Dynatrace's user behavior monitoring and analysis also works well. It provides powerful insights into user interaction patterns, session behavior, and user experience metrics, which help us understand how our applications are being used.

One of the features I appreciate most is the OneAgent. We only need to install a single agent per host, and it automatically collects metrics, logs, traces, events, and more — without requiring multiple separate tools or manual instrumentation.

We also benefit from Dynatrace’s AI-powered anomaly detection. The Davis AI engine detects unusual patterns, performs root cause analysis, and sends smart alerts — all automatically, which significantly improves our incident response time.

More customizable dashboards

Better log search and retention features

Easier tagging and permission management at scale

Improved mobile app monitoring support

reduction in costpricing 

I have been working with Dynatrace monitoring and other monitoring systems for about three years. During this time, I’ve gained hands-on experience with full-stack observability, user behavior analysis, anomaly detection, and automated root cause analysis using Dynatrace.

Dynatrace is very stable and reliable. Its OneAgent runs with minimal impact on system performance, and the platform itself experiences very few outages. Regular updates and proactive monitoring by Dynatrace ensure high availability and consistent performance, which is critical for our continuous monitoring needs.

Dynatrace scales very well across different environments, from small setups to large enterprise systems. Its automatic discovery and instrumentation make it easy to manage thousands of hosts, containers, and services without significant overhead. The platform handles high data volumes efficiently and maintains performance, making it suitable for dynamic cloud-native and hybrid environments.

My experience with Dynatrace customer service and support has been positive. The support team is responsive and knowledgeable, providing timely assistance for technical issues. Additionally, the available documentation and community resources help resolve many questions quickly. Occasionally, complex issues may require escalation, but overall, the support experience is reliable.

Neutral

We previously used a full monitoring system with Zabbix, which worked well but required a lot of manual configuration and maintenance. With Dynatrace, we benefit from extensive automation tools that significantly reduce manual effort. This automation is a key difference that sets Dynatrace apart from Zabbix and other monitoring solutions.

The initial setup of Dynatrace is generally straightforward thanks to the OneAgent, which automates discovery and instrumentation across the environment. However, configuring advanced features, custom dashboards, and integrations can be more complex and may require some learning and planning. Overall, the automation significantly reduces manual effort compared to traditional monitoring tools.

Dynatrace is ideal for clients who need advanced, automated monitoring. However, some clients may not fully understand its value and might not need to invest in a high-end solution if their requirements can be met with free tools like Zabbix.

The SaaS version of Dynatrace is typically suitable only for proof of concept (POC) purposes. When customers commit to Dynatrace, they usually opt for the managed version for production use.

Overall, I would rate Dynatrace 9 out of 10 as a product solution.

On-premises

Microsoft Azure

We use Dynatrace as an end-to-end monitoring solution to monitor all our cloud and on-premises infrastructure and applications. We use Dynatrace to monitor everything except storage, backup, and network devices. Our e-commerce front-end applications are completely monitored on Dynatrace.

I like the solution's tracing feature. There's a technology called PurePath in Dynatrace that helps us trace the end-to-end request for a service call. It starts tracing or capturing from the moment a user accesses our website, opens the browser, and clicks on login till it reaches our endpoint, the application server with the database server.

It will capture all the traces, including the number of requests, the response time, the number of calls made, the number of errors, and the root cause of each error. Dynatrace provides real user monitoring with APM.

Dynatrace is not great for network monitoring. Network monitoring can be done with a bit of customization. Although it provides end-to-end tracing from server to application, you don't get end-to-end tracing for network devices because it uses the SNMP protocol to discover them.

It will not get coordinated with the Dynatrace agent. That protocol is entirely different. It would be good if Dynatrace could come up with some feature that can help us pull the network tracing along with the application tracing. Dynatrace could improve the visualization part in log analytics because it is not as great as Splunk.

Dynatrace does very good monitoring for Azure cloud monitoring, but for GCP, it is not as great as Azure. The solution should improve from Google Cloud monitoring.

I have been using Dynatrace for six years.

I rate the solution’s stability a nine out of ten.

I rate the solution’s scalability an eight out of ten.

The solution's technical support is very good and very much available.

Positive

The solution's initial setup is very simple. You never get any monitoring tool as simple as Dynatrace. You just have to deploy one agent, and it's very straightforward.

Dynatrace is easy to install and manage. It is simple and saves a lot of time. It is quite easy to manage, and anyone with basic IT knowledge can be a Dynatrace administrator.

Dynatrace is an expensive solution.

On a scale from one to ten, where one is expensive and ten is cheap, I rate the solution's pricing a five out of ten.

Datadog is Dynatrace's main competitor. It is cheaper than Dynatrace. However, Datadog's instrumentation is manual and time-consuming, and it requires a lot of effort. In contrast, Dynatrace can be set up in half an hour. Setting up Datadog requires a lot of manual effort and is not as easy as Dynatrace. Presentation-wise, Datadog's look and feel are not as impressive as Dynatrace's.

Technology keeps evolving. In my experience, we recently migrated our application from Azure VM to microservices hosted in Kubernetes. Some requirements were there, especially with GCP. Using the solution does not depend on the company size but on the requirement. Whoever uses an e-commerce ordering website must have Dynatrace. I would recommend Dynatrace to other users.

Overall, I rate the solution a nine out of ten.

On-premises

We use the tool for performance analysis, root cause analysis, issue identification, and understanding the impact of technical glitches on business. We use performance dashboards and business dashboards.

The product helps us identify issues in the application and get to the root cause immediately. We can understand why a client experiences slowness, whether it is due to DB or some issue at the front end. It could also be an issue relating to their zone. We can also use the tool to understand the impact of the technical issue and the loss to business.

PurePath is one of the best features. We can add tags to the dashboard that we create. Synthetic user creation is also a good feature.

PurePath must be more robust. Dynatrace detects problems at a higher level. When we select a time zone and identify the problems, we should get a detailed analysis of the impact directly. We shouldn’t have to drill down to get that information since the solution already has the details of the exceptions. We have to create tags for some log-ins. It should be handled automatically to reduce tagging.

I have been using the solution for four to five years.

I rate the product’s stability an eight out of ten.

I rate the tool’s scalability an eight out of ten.

While designing the business dashboard, I encountered various bugs that impacted my work. There were many tickets and conversations between me and the support team. It took a reasonable amount of time to solve the issues.

Neutral

I have used Nagios and PRTG. I started using Dynatrace because my company decided to switch to it.

I rate the ease of setup a seven out of ten.

The solution is not cheap.

It’s definitely a good tool. It is a perfect combination of technical and business. It enables us to identify and make dashboards related to hardware, application, and business. Overall, I rate the tool a seven out of ten.

Public Cloud

Our primary use case for this solution is infrastructure and application monitoring. A total of 90% of our applications are on-premises and we are moving to the cloud, and this solution is helping us monitor that transition.

This solution has helped our organization on multiple occasions. The synthetic monitor came in particularly handy. We also deploy the solution to monitor hundreds of our customer-facing sites for any outages, etc.

The feature I found most valuable when it comes to this solution is the AI engine. It can correlate and collate different types of alerts and show us the most probable root cause.

I would say that this solution's reports are lacking a little bit, and because of this, you have to rely on API to fetch and pull data. I think they could have done a bit of a better job by providing a more user-friendly search from a reporting perspective.

I have been using this solution for about five years.

I would rate the stability of this solution an eight, on a scale from one to 10, with one being the worst and 10 being the best.

I would rate the scalability of this solution an eight, on a scale from one to 10, with one being the worst and 10 being the best.

I would rate the technical support of this solution a 10, on a scale from one to 10, with one being the worst and 10 being the best. The reason for this rating is that we pay for premium support with them.

Positive

I would say that five years ago when we did the initial setup, we had some issues. However, I think that this process has changed since then.

I would say that we have seen a return on investment.

We are typically about a version or two behind. We are on the managed solution.

Our model of deployment is on-premises. I would say there are a couple of thousand users of this solution in our company. We are also planning on increasing the usage as our apps migrate to the cloud.

I would advise other people looking into solutions, to do their homework beforehand and not assume that by deploying all the tools everything will automatically work, so there's still a lot of configuration involved.

I would rate this solution as a whole an eight, on a scale from one to 10, with one being the worst and 10 being the best.

On-premises

We use it for infrastructure monitoring and real user monitoring on our website, i.e., monitoring how users interact with our website and digital experience. We use it to track if our website is up using synthetic monitoring, which we use for our website and mobile app. We use Dynatrace to track complete observability through our infrastructure to our digital apps. 

We are able to share information easier and improve user experience.

When a ticket is logged in Dynatrace, it automatically goes to the correct support team. There is no manual intervention, which saves time. We are saving probably $30,000 to $40,000 annually because we are not employing several people to do this work.

Dynatrace’s ability to help us visualize and understand our infrastructure, and to do triage, is very good. It provides a Smartscape view, which gives us an overall view of the topology. When a problem is raised, it draws out where the issue lies and also suggests the solution. This brings down mean time to restore very quickly, helping the resolution.

The fact that the solution is a unified platform has very much changed the way our teams work and collaborate. It brings teams together, because they are able to screen share, especially during COVID. Then, we are able to talk about the exact same thing.

The automated discovery and analysis help us to proactively troubleshoot production and pinpoint the underlying root cause. If we are seeing error messages in our website for users who are seeing an error page, then we are able to go into the user's session, look at PurePath and the code, and see the reason why this is occurring in the back-end code.

If a user experiences an issue on their mobile, e.g., where they can't generate a ticket nor generate a benefit from our application, then it will automatically log a ticket. That will then feed into a database where the customer is contacted proactively.

Dynatrace uses a single agent for automated deployment and discovery. This helps our operations because we can bake that into an Amazon Machine Image (AMI) and roll it out.

The solution gives us 360-degree visibility of the user experience across channels. This is important in our environment. This helps us meet business goals because we are able to interact and serve as many teams. So, product managers and project managers are able to give metrics or data feedback to any team suitable from a developer to the C-level.

The key feature that stands out is being able to track real users within our website. We can feed this back to the developers and project teams, shaping what we develop next. This allows us to be proactive.

The AI capabilities are very good. This allows us to automate what we call AIOps. Any incident or alert raised from Dynatrace automatically goes into our ITSM tool. This saves a lot of money, probably $30,000 to $40,000 a year.

We have the Kubernetes module enabled. We can track pods, namespaces, and the performance of them. Dynatrace's functionality in this area is very impressive. It allows us to see the pure topology of our infrastructure and how the microservices interact. It also gives us a one-stop shop for checking the health of Kubernetes.

We offer Dynatrace as a service. Anyone in the business can use it. So, management is pretty easy.

We use the Dynatrace AI to assess impact. Because it links to real users, it is generally pretty correct in terms of when it raises an incident. We determine the severity by how many users it is affecting, then we use it as business justification to put a priority on that alert.

We use the solution’s real user monitoring, Session Replay, and synthetic monitoring functionalities. We use synthetic monitoring for reporting to get a definitive answer if anything is up or down. We will use sessions to check the health of our website and measure user experience. We also use it for feedback on a release and how it is affecting our end users. We use Session Replay to investigate issues that our users are experiencing.

I would like a testing module focused on quality gates.

I have been using Dynatrace for two years.

The stability is very impressive. We haven't had any downtime.

No maintenance is required because it is a SaaS solution.

Because it is an automated deployment, you can scale it up quite easily.

We have scaled the solution to AWS. We have not encountered any limitations in scaling to this cloud-native environment.

There are maybe more than 100 people working on Dynatrace: product managers, project managers, architects, developers, C-level, IT operations, service delivery managers, service managers, and testing.

The technical support is very good. They are always there and able to answer any query.

We previously used AppMon.

The initial setup is straightforward. You just install it, then automatically put it on. We did this in one big bang overnight, taking probably five hours.

We deployed it data center by data center. We grouped the application service together, then we had an offshore team sign off the health of the service before we went live. We also did a thorough testing strategy two weeks beforehand. So, we installed it on all test services and made sure there weren't any negative impacts by installing the agent.

We have seen ROI through the cost savings of manual work. Automation saves a lot of time.

As a result of the automated discovery and analysis, 60% to 70% of our manual work has been automated.

Dynatrace helps DevOps to focus on continuous delivery and shift quality issues to pre-production. This frees up time for developers and also provides constant feedback for continuous improvement.

The solution has decreased both our mean time to identification and mean time to repair by about 70%.

We have used Dynatrace to identify problems and trends. Identifying problems and trends has allowed us to fix underlying problems, which then leads to more uptime.

Dynatrace has decreased our time to market with new innovations/capabilities by about 50%.

It has saved us money through the consolidation of tools.

The pricing and licensing are fairly competitive.

We also briefly looked at AppDynamics. We decided on Dynatrace because of PurePaths, which provides the code that goes between applications and the service. This has provided overall observability.

You need to plan how it will be consumed within the company and assign a product owner to make sure uptake is there.

We have 100% adoption. Everyone who needs to use it, uses it.

I would rate Dynatrace as a nine out of 10. 

Dynatrace is doing it very well. It offers the customer a holistic view of the application or website, starting from the front-end services to the back-end services. Mainly, they are focusing more on application performance. 

For sure, they have it for server monitoring and network performance monitoring, but mainly they are focusing on application and AI capabilities when it comes to application performance monitoring.

They are very good when it comes to APM. 

It has AI capabilities for anomaly detection. Also, they are a fully automated solution, so it's easy to use when it comes to deployment. In general, they have root cause analysis, monitoring the components, and monitoring the application. They use information to connect the issues, detecting problems, and finding LiveOps analysis.

It would be good to extend the visibility to cover more infrastructure monitoring capabilities and more network performance capabilities.

I have been using it for five years.

It is a stable product. 

Moreover, there is a support team. Honestly, they are doing very good when it comes to communications and documentation, so you can easily troubleshoot and diagnose issues.

You can also easily reach out to their support team. For the components themselves, it's quite stable. There aren't many parts when it comes to Dynatrace components or the platform itself. So, it's the best solution.

I would rate the scalability an eight out of ten because it is an agentless solution. It is scalable; you can deploy the agent wherever you want. 

We have Enterprise businesses as our clients. It can be offered to small businesses, but it would be pretty expensive. Technically, there is no problem with that. But, it's all about the cost or the price.

We can reach out to them directly through chat services within the platform itself, or we can contact their partners globally. Dynatrace would be able to help you directly, and also let you contact the enterprise support team. So, it's quite good when it comes to support.

Positive

I would rate my experience with the initial setup an eight out of ten, with ten being easy. 

It is fully automated, so it was easy. 

The deployment model can be both on-premises and on the cloud. 

The deployment depends on the component. Overall, it can be done in less than one hour, or two hours maximum; you will be able to finish deployment when it comes to the main components, like the analysis server or admin server. But when it comes to agents, it depends on the customer's environment. It may take hours or weeks. So, it depends on the prerequisites and the customers themselves.

The cost savings can add because they are focusing on the end-user experience. Currently, all businesses are all about the user experience. So once you have such a tool, you just want to make sure that users are satisfied. 

When they are satisfied, you will gain benefits. So when it comes to return on investment, by keeping your customers satisfied, it's worth it to invest in such a tool. It gives you clear visibility of the user experience or user behavior so you can improve your business.

It's not cheap, for sure. Dynatrace targets enterprise customers, banking, government entities. So for sure, it's not cheap, and it's a little bit expensive. So, I would rate the  pricing a seven out of ten, with ten being expensive. 

Now, here comes the comparison to other APM competitors like AppDynamics and IBM; yhey are within the same range. They are all targeting top-end users.

Dynatrace has an AI engine. It collects numerous metrics from the customer's IT environment. The AI engine then correlates and analyzes all of these collected metrics and transactions to offer some capabilities to the customers.

However, my recommendation depends on the use cases or pain points for the customers. For application visibility or end-user experience, I would recommend Dynatrace.

Overall, I would rate the solution a seven out of ten.