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Dynatrace vs Stackify comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Jul 24, 2024

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
Ranking in Application Performance Monitoring (APM) and Observability
2nd
Ranking in Log Management
6th
Average Rating
8.8
Reviews Sentiment
7.0
Number of Reviews
358
Ranking in other categories
Mobile APM (2nd), Container Monitoring (2nd), AIOps (2nd), AI Observability (4th)
Stackify
Ranking in Application Performance Monitoring (APM) and Observability
64th
Ranking in Log Management
59th
Average Rating
7.8
Number of Reviews
6
Ranking in other categories
IT Infrastructure Monitoring (62nd)
 

Mindshare comparison

As of February 2026, in the Application Performance Monitoring (APM) and Observability category, the mindshare of Dynatrace is 6.3%, down from 11.4% compared to the previous year. The mindshare of Stackify is 0.6%, up from 0.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Application Performance Monitoring (APM) and Observability Market Share Distribution
ProductMarket Share (%)
Dynatrace6.3%
Stackify0.6%
Other93.1%
Application Performance Monitoring (APM) and Observability
 

Featured Reviews

Manish Indupuri - PeerSpot reviewer
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.
Moses Arigbede - PeerSpot reviewer
Head of DevOps at Partsimony
Easy to set up with great custom dashboards but needs to improve non-.NET infrastructure
They need to improve non-.NET infrastructure. We always had difficulty when it comes to reporting or metrics that come from Linux operating systems and Docker containers. For anything that runs within the Unix environment, we always had problems with them, however, if it was a document-based application, Stackify was 100%, it gave everything. Now, the aggregation agent, the metric agent for Stackify for Linux, collects everything. When I say everything, I mean, everything. It collects so much information that we now started to term it as useless data as all that ingestion will just come in and overwhelm your log retention limit for the month and really this spike up your cost at the end of the month. You'll need to do a lot in order to train down the data coming in from all your Linux environments, to get to what you really need, which actually takes some time as well. I would like to be able to see metrics about individual running containers on the host machines. Stackify has not really gotten that right, as far as I'm concerned. Netdata has done a better job and New Relic has also done a better job. They need to improve on that. We need to be able to see the individual resource usage of containers running within a particular host.

Quotes from Members

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

Pros

"We are able to get insights into our systems, which previously took us weeks to be able to detect."
"I like the solution's tracing feature."
"The Dashboard is very useful, as you can monitor different parameters on the same screen."
"We are quite happy with the support that they have been providing."
"With the latest version, the AI engine highlights the root causes automatically."
"It gives more visibility into all the coding (the black screen). It gives a nice screen. You can see ups and downs. You can see where the traffic is getting impacted, more on the convergence side."
"It is much easier to deploy, maintain, and delivery of high value insights, which almost immediately lowers the mean time to value and resolution of issues."
"We can analyse problems more quickly, and detecting problems becomes easier with Dynatrace."
"The solution is stable and reliable."
"The deployment is very fast."
"The filter feature on Stackify is one of the features I found valuable. It's awesome. When I want to get the application logs, the solution gives me many filters. For example, if I want to get logs from my test environment, the option is there for me to select the environment from Stackify, and you can also select the particular application, and you'll see the information you need there. The filter feature alone and the fact that Stackify offers a lot of different filters is what I like the most about the solution because I've used other tools with the filter feature, but the filtering was very difficult, versus Stackify that has good filtering. On Stackify, you can filter the information by the last one hour, or the last four hours, and you can also select the date range and specify the timestamp, then the solution will give you the information based on the date range you specified. Another feature I found valuable on Stackify is its rating feature because it tells you how your application is faring. For example, a rating of A means excellent, while a rating of F means very bad, or that your application is not doing well at all. The ratings are from A to F. I also like that Stackify helps you in terms of load management because the solution gives you information on overutilized resources. These are the most valuable features of the solution."
"The performance dashboard and the accurate level of details are beneficial."
 

Cons

"One of the new features is "impacted users." I would like to see a rate of impacted users. For example, how long has the problem been going on: 100 users in five minutes. Does that mean that in 3 hours if we don't get this solved, we're impacting x number of people? Understanding the rate at which the problem is impacting people would be a cool feature."
"The one thing people really liked that we can do in AppMon is executive dashboards and, until recently, you couldn't even create the business transactions you need for the data at the back-end of those dashboards. But if I had to ask for one thing it would be: In the new platform, give me the ability to do dashboarding in the way it's done in AppMon, and I think that would bridge a lot of the missing pieces. If I could do the same type of executive dashboards on the walls, they would be happy."
"Some of the analytics that you get in, e.g., a waterfall analysis of a web page could be clearer. A lot of that is not directly attributable to Dynatrace. Sometimes a vendor will implement a tag or JavaScript plugin that's named something entirely different than what it does. This makes it difficult to track that from the waterfall list, figure out where exactly that component is, and dig more into what it's doing. Dynatrace could probably improve a bit on that waterfall layout to make it clearer as to what exactly is there. It does a wonderful job of telling you what loads and when, but it could be improved in terms of telling me what exactly it is loading."
"Even with PurePath and the like, it still takes time, a day or whatever - or expert knowledge of some person - to be able to identify a problem quickly."
"Adding people to alerts has not been very intuitive. That's really my only negative feedback."
"I'd like to see more agents ready to be deployed. I know that it's possible to develop integration with Dynatrace API, but in day-to-day operations it's hard to do that kind of customization. So if they had more agents for more platforms and more applications, I think it would be better."
"In the new Dynatrace solution, support for legacy applications is still not there. ​"
"Session export for offline analysis, like it was in AppMon, would be also nice."
"The search feature could be improved."
"I would like to be able to see metrics about individual running containers on the host machines."
"I've not used Stackify for a while, and I'm currently using a solution now that's not as good as Stackify. Among the solutions I've been using so far, Stackify has been one of the best for me, but there's always room for improvement. For example, I don't know if it's just me, but when I try to get the log from Stackify, sometimes it doesn't appear in real-time. It takes a few minutes before the logs appear. When I redeploy my solution and the application starts, I don't see the logs immediately, and it would take two to three minutes before I see the logs. I don't know if other customers have a similar experience. It's the wait time for the logs to appear that's a concern for me, could be improved, and is what the Stackify team should be looking into. In terms of any additional feature that I'd like added to the solution, I'm not sure if Stackify has a way to export logs out. I've been trying to do it. On the solution, you can click on a spiral-like icon and it shows you the entire error, and I'd prefer an export button that would let me download the error and save that into a text file, for example, so it'll be available on my local machine for me to reference it, especially because the log keeps going and as you're using the solution, the system keeps pushing messages on to Stackify, so if I'm looking at a particular error at 12:05 PM, for example, by the time I go back to my system and would like to revisit the error at 12:25 PM, on Stackify, the logs would have gone past that level and I won't see it again which makes it difficult. When you now go back to that timestamp, you don't tend to see it immediately, but if the solution had an export feature for me to save that particular error information on my local machine for reference at a later time, I won't have to go back to Stackify. I just go to that log, specifically to that particular export that I've received on my local machine. I can get it and review it, and it would be easier that way versus me going back to Stackify to find that particular error and request that particular information."
"It should be easily scalable and configurable in different instances."
 

Pricing and Cost Advice

"​I would recommend doing a PoC."
"The licensing model is confusing in solutioning clients for the number of hosts needed to deploy."
"The product is superior to others, but it comes with a price tag that is often difficult to position back to clients."
"From what I have heard in the company, Dynatrace is expensive."
"We purchased a subscription for one year and it is an expensive solution for a large enterprise like ours."
"It's expensive."
"There is time savings. People's times have been cut in half using this solution because we were previously doing a lot of that manual work. Now, it's a lot more automated, and the data is just there."
"The product is really fast to implement and gives customers instant value. This is important, because it reduces costs on the implementation."
"The price is variable. It depends on how much data we have received in that particular month. Usually, it goes up to $2,000, or, at times, $3,000 USD per month."
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Top Industries

By visitors reading reviews
Financial Services Firm
22%
Manufacturing Company
9%
Computer Software Company
8%
Government
6%
Comms Service Provider
12%
Media Company
11%
Performing Arts
9%
Insurance Company
9%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business78
Midsize Enterprise50
Large Enterprise298
By reviewers
Company SizeCount
Small Business3
Midsize Enterprise2
Large Enterprise2
 

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...
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...
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...
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Comparisons

 

Overview

 

Sample Customers

Audi, Best Buy, LinkedIn, CISCO, Intuit, KRONOS, Scottrade, Wells Fargo, ULTA Beauty, Lenovo, Swarovsk, Nike, Whirlpool, American Express
MyRacePass, ClearSale, Newitts, Carbonite, Boston Software, Children's International, Starkwood Media Group, Fewzion
Find out what your peers are saying about Dynatrace vs. Stackify and other solutions. Updated: January 2026.
882,606 professionals have used our research since 2012.