Dynatrace Reviews

The visibility that it provides is most valuable.

There should be more visibility for network performance monitoring. There should be more metrics for things like 5G and IoT. That would be the main thing because they've moved more to mobile performance rather than fixed networks.

I have been using this solution for over 10 years.

Its stability is very good. There are no complaints.

It is pretty scalable.

I haven't had to deal with them too much. I would rate it as average. It has been good enough, but I haven't had too many moments where I had to reach out. I would rate their support a four out of five.

It is straightforward. The agents are pretty straightforward to set up. I would rate it a four out of five in terms of ease.

As compared to New Relic and other providers, it is more expensive, which is its biggest disadvantage. Its biggest advantage is its capability. It is more feature-rich.

My advice would be to try it before you buy it. I would rate it a strong eight out of 10.

We are using it for user monitoring and service monitoring.

It is a very good APM tool. There is a lot of thorough scanning of services and applications. It has got great monitoring features.

PurePath helps us to identify minor glitches in applications and services. It collects everything from user sessions.

Its infra monitoring is not that good. They are mainly into the APM environment, such as network monitoring and other things. Strong end-to-end infrastructure monitoring is missing. SNMP monitoring is currently not very good in this solution.

It is a bit expensive. It could be cheaper.

I've been using this solution for the last one and half years.

Its stability is good. It does not break easily.

We have not scaled it yet. It is good enough to handle the bulk load. We never faced any performance issues with the tool. We have more than 150 users, and we never saw any issues with it.

Their support is very good.

It was straightforward. The full deployment probably took a week.

We have vendor support, and we collaborated with our vendor for its implementation.

Its license is a bit expensive. We renew it yearly.

I would rate it a seven out of 10.

We are a solution provider and this is one of the products that we implement for our clients. We use Dynatrace both on-premises and in the cloud. Our use cases involve monitoring application performance. We are also able to see how the underlying infrastructure is performing.

This monitoring capability gives us the ability to measure the end-user experience.

We have other use cases, as well, but this is a summary of what we do with it.

There are several features that we find very valuable.

The setup is automated, so you don't have to do any configuration. There is very little manual intervention required.

Once it captures the data, it is able to dynamically analyze the packets and determine a probable route. This is a feature that we use very heavily.

Support for cloud-based environments needs to be improved. There is a challenge when it comes to monitoring cloud-native applications. This means that we have to use other tools that we integrate with Dynatrace. If there were another approach to monitoring things automatically then it would be a fantastic feature to add.

Some of the results that we were being given by the AI engine were not a proper output based on what the data input was.

These days, we are seeing that AIOps is becoming more predominant. As such, I would like to see more of the features in Dynatrace, expanding it from a purely monitoring solution into a full-fledged AIOps solution.

I have been working with Dynatrace for approximately nine years.

With respect to stability, this is not a system that gives users access to the low level. Rather, they interact with the agents. That said, we have had some stability issues with a number of our agent deployments for our customers. One example is that the AI engine was not giving the proper output, based on what the input was.

This is a scalable product but you ought to have multiple instances to scale it.

We have worked with their technical support team on a couple of specific areas, and I would rate them a four out of five.

We have not had to contact support for applications that use simple technology, like Java. However, when it is a complex system such as an ERP or a cloud-based application, sometimes the integration requires that we create specific plugins to capture the data. These are the types of things that we have worked with technical support to resolve.

We have worked with various competitors' tools. Some of these are AppDynamics, New Relic, Datadog, Splunk, and others. There are a lot of other tools on the market.

Nowadays, we are working with a lot of different customers and our preference is to implement Dynatrace over the other solutions. The three main reasons for this are the features in general, the ease of implementation, and specifically for the AI capabilities.

The initial setup is straightforward, although it depends on whether the application enrollment is heterogeneous or complex. The initial planning can take some time but the actual installation and setup is not a big process.

The number of staff required for deployment depends on how many applications we're going to configure. If it's only a few applications then you don't need many people. However, if a customer tells us they have a hundred applications that need to be installed in a month's time then obviously, we need more people to help with the deployment.

As product integrators, we deploy this product with our in-house team. We have a good set of people who are trained and certified in Dynatrace.

Over the time that I have used this product, I have worked with several versions. I am now working on the latest one.

The advice that I typically give to my clients is that you shouldn't think that it will do everything. In order to implement it properly, we need to clearly understand what are your specific use cases are, and then work on those.

Use cases can be related to an environment, a technology, or a platform. If it's a cloud-native service, for example, then you won't be able to use Dynatrace because it can't even be installed. You won't get anything out of that. This is an example of how it is not suitable for every situation. The feasibility depends on what you want to use cases are.

I would rate this solution an eight out of ten.

I am using Dynatrace for cloud monitoring, application monitoring, and alert notifications.

The most useful features are cloud monitoring, application monitoring, and alert notifications.

The solution could improve by allowing more dashboards customization. This would allow us to monitor the metric better.

I have used Dynatrace within the past 12 months.

The solution is stable.

Dynatrace is scalable but there is a cost involved. If your use case requires scalability it is easy to do.

Technical support is always available to assist. They are very good.

We use Dynatrace in parallel with New Relic.

Our company is large and we use a lot of applications. We have different tools for different kinds of use cases, based on the cost, I will not always use Dynatrace every time. If my use case is not suitable for Dynatrace, cost-effective, or efficient, then I will not use Dynatrace, I will use something else.

The implementation requires a few hours to make connectivity. New Relic is simpler to set up then Dynatrace.

For the deployment and maintenance, Dynatrace requires one or two people.

Dynatrace is very good and it's provided a lot of information, it plays a positive role in making your application up to date in the market. If you want to monitor some applications only, it would be cheaper if you did cloud monitoring, but the price benefit depends on the use case.

I rate Dynatrace an eight out of ten.

My primary use cases of this solution are to understand how users are interacting with and experiencing applications and to quickly identify and fix problems.

Dynatrace has reduced our total headcount in operations and the mean time to detect and resolve problems. As a result, those challenging offline times are much shorter, if not non-existent, because of this solution.

The most valuable features are session replay, which allows for full playback of a user's experience; the AI engine "Davis," which does problem identification; and automatic mapping, which gives a visual representation of how applications interact host-to-host or process-to-process.

An area for improvement would be security. In the next release, I'd like to see more network-centric capabilities - Dynatrace is good at the network level, but I have to leverage other network solutions and integrate with them, but a holistic approach including the network as a one-stop-shop would be great.

Dynatrace's stability is solid - it performs updates very often, so it's always the latest and greatest in a good way.

Dynatrace has phenomenal scalability capabilities.

The technical support is phenomenal - they have a call program called Dynatrace ONE, which is like a customer success program on steroids. 

The initial setup was extremely straightforward and fast. The deployment function was also super fast, typically just a few hours at most, with the right tuning.

When used appropriately and applied to the applications that are meaningful for businesses, the ROI is extremely high.

There's a perception that Dynatrace's value could be questioned, but this is down to a lack of due diligence on the front end. When done right, this product always gives good ROI and total cost of ownership.

Dynatrace is really good at keeping some infrastructure details and really good at the application level. I would give this solution a score of ten out of ten.

Dynatrace does application and platform diagnostics and monitoring and user experience management. Typically, in our region, we are seeing a lack of deep application platform management tools because most of the customers in our region don't use those tools.

We are using Dynatrace Managed and Dynatrace SaaS. It is the new Dynatrace. They had a legacy product called AppMon, but nobody is using that now.

Our customers mostly have on-prem deployments. In terms of the version, I always use its latest version.

The most valuable features are ease of deployment, UI, and collected data. Its deployment is really easy. In just a few hours, you can have a very good outcome, and you can see everything, which is very valuable. It collects a good amount of data.

It is one of the most easily deployed monitoring products that I have seen in terms of scalability and installation. In 60 minutes, it is installed, and if you want to scale it, there are no issues. You just add another node, and in 15 minutes, it is done.

It is very stable. Our customers didn't have any issues with it in the last four to five years.

The licensing part is complicated or not transparent. It is very difficult to assess the number of licenses for a prospect. You have to do a PoC, and calculating the number of licenses for two years or three years is sometimes very difficult. It also depends on each case. There are multiple types of licenses. Sometimes, you need only one of them, and sometimes, you need all of them. This is an area for improvement.

I have been using this solution for five years.  I'm a certified professional for Dynatrace, and I work for a Dynatrace partner in Europe.

Its stability is awesome and perfect. It is much better than the competitors that we have evaluated.

Its scalability is awesome. It is really easy to scale in any direction. For SaaS, you don't have to think about scalability, and for on-prem, it is very easy.

It is mostly on-prem, and we have the largest US companies as our customers. The largest deployment has 200 to 300 users. They are not concurrent users.

Their support is awesome. I get valuable answers from their support for all my tickets.

I mainly have experience with IBM products. We stopped partnering with IBM because it was not suitable for this market. IBM is ten years behind Dynatrace. You can't compare them.

Its deployment is really easy. It is one of the most easily deployed monitoring products.

Its maintenance is minimal. I worked with competitive products for more than 15 years. So, I can compare them. With Dynatrace, one agent is required. From time to time, there are issues that are typically very specific to the monitored environment. We have customers who have been using all the updates of all the agents for five years, and they have had no issues. Typically, when we have an issue in one of our environments, it is tied to the monitored application platform. We had no issues with Dynatrace.

Its licensing is complicated or not transparent.

I would definitely give it a nine out of 10.

The primary use case of Dynatrace is root cause analysis. Dynatrace is used for finding issues if an application is having trouble. 

I'm an integrator, so we have deployed it for customers both on-premise as well as on the cloud. 

A feature that's one of the highlights of Dynatrace is the AI. The second most valuable feature is OneAgent. Between infrastructures, applications, operating systems, you can deploy with just a single agent and can practically install and forget about it. 

Dynatrace could be improved by having a fully functional applications and infrastructure monitoring feature. Their existing stack, which is SNMP-based, does not have full infrastructure monitoring, whereas if we compare it with other solutions like New Relic or Datadog, they have moved into infrastructure monitoring. 

The second improvement I would suggest is in regards to the cost. So far, Dynatrace is the most expensive APM that we sell, even compared to New Relic. I think they can improve a little bit in terms of the license pricing. 

We have been running Dynatrace for three years now. 

This solution is stable. 

This solution is scalable. 

The tech support is great. Besides calls, they also have an online presence where we can chat directly to them. If I'm not mistaken, this may be for premier customers, since their support is layered. 

For the other support mechanism, which is for regular customers, they can submit questions into a portal. I think the response time is between four to six hours. They could improve the response time because the premier customers have a fifteen-minute to one-hour response time. 

Dynatrace is quite easy to install. For an SaaS deployment, the customer can practically use it within the same day. If it's on-premise, I think it takes around three days, depending on the complexity. 

We have five customers using Dynatrace and the team size for deployment depends on the complexity. We have one customer with a big project, which was big in scope as well, so we can have as many as six to seven people for deployment. It ranges, so if a customer has a hundred servers—in terms of the time and resources required for the deployment, from start to finish—I think it could be done within a month by two people. It depends on the complexity. 

We implement this solution for customers. 

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. 

I rate Dynatrace a nine out of ten. I would definitely recommend Dynatrace, especially if the customer has a big budget. An enterprise company should purchase Dynatrace, even when compared to other APM solutions like New Relic. 

We use the solution in server monitoring, application monitoring, and roam and synthetic monitoring. We have 1,000 Dynatrace users in our organization.

The solution can be deployed quickly on-prem. Once it's deployed, you can use discovery and review the process and service on this application.

Dynatrace would be closer to a perfect tool if it could bring an interface similar to a standard for metrics like Prometheus and Grafana, New Relic, and Datadog, and the way they present these panels. It would help if Dynatrace allowed more features that work with metrics like Grafana or New Relic because the data is there in Dynatrace. Dynatrace collects all the information but some companies consider integrating, for instance, Dynatrace metrics with Grafana.

I've been using this solution for more than one year. It's a SaaS solution, and it's deployed on a private cloud.

Support is okay but could be better and faster. The documentation for the tool could be better. The documentation with Elastic and Datadog is more detailed.

Initial setup is simple but it depends. In the server monitoring, it's only install and discovery. That is very quick. To install with a cloud like OpenShift, it requires some Sandcastle configuration about tokens and operators, but with old data, it's fast.

Two people were required for deployment.

I have a little experience with Datadog, but it doesn't have the power to discover with some libraries like Dynatrace. With Dynatrace, you can discover all libraries and technologies that exist on the market today. With Datadog, that's not 100% the case. Datadog is a very good product but it works differently. Datadog has machine learning, too, but not in all discovery options of SQL and in all layers of our monitoring like infrastructure, service, process, and applications—like Dynatrace. With Dynatrace, 100% of all options are included in your machine learning, in your AI.

For development, Datadog is a little more friendly to your front end and development teams. There are some areas, particularly the Apdex of Datadog, that are more understandable for the development teams. Dynatrace is a little more difficult to understand for development teams. It requires some more learning.

The APM feature in Datadog is easier to understand. It works manually, like New Relic, Grafana, or Elastic. That's more understandable for software development teams.

I tested New Relic between 2019 and 2020. Like Datadog, I tested and did proof of concept for New Relic in about one month. New Relic is strong and the APM is easier for teams of dev to write. The scope of New Relic is like Datadog. It doesn't cover all technologies and all libraries and just works efficiently with all items of applications for work with QA and dev.

I have not tested the integration of New Relic. I know some colleagues that integrated between the tools for the infrastructure coverage in Datadog and the APM coverage in New Relic.

I would rate this solution a 9 out of 10. It's not a 10 because there are some little things that could be enhanced. Otherwise, the product is great.