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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 (1st), AIOps (2nd), AI Observability (3rd)
Stackify
Ranking in Application Performance Monitoring (APM) and Observability
61st
Ranking in Log Management
59th
Average Rating
7.8
Number of Reviews
6
Ranking in other categories
IT Infrastructure Monitoring (59th)
 

Mindshare comparison

As of January 2026, in the Application Performance Monitoring (APM) and Observability category, the mindshare of Dynatrace is 6.6%, 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 (%)
Dynatrace6.6%
Stackify0.6%
Other92.8%
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

"Improves the ability to isolate issues and determine root cause with the same tool."
"It helps to show where the problem is and isolates the issue."
"Scalability is outstanding. It won't tax our environment at all as it will scale sideways."
"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."
"We were able to decrease the number of production defects ever since we started using Dynatrace in our test environment."
"In the AppMon, offering, currently, the most valuable feature is the PurePath analysis, being able to deep-dive into call chains."
"Triggering gives us warning that system is getting slow and we need to nail down the issue soon, so it does not impact our business."
"Mean time to root cause analysis decreased drastically."
"The solution is stable and reliable."
"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 deployment is very fast."
"The performance dashboard and the accurate level of details are beneficial."
 

Cons

"It is not clear what are our long-term strategy should be to upgrade (Appmon vs Dynatrace)."
"Mainly navigation needs improvement. It is easier to follow a flow. Following the flow of the admin now is not easy."
"The initial setup was relatively complex because we were trying to implement into environments that they did not yet support."
"When the tool ingests data from other tools, being able to correlate those with the existing topology, so that the AI engine can draw more conclusions in case Dynatrace does not monitor those instances."
"When you're making that transition from AppMon, which is very dashboard-oriented, over to Dynatrace, which is no dashboards, there needs to be something in between so that business buys in a little bit. I would transition my dashboards over so that we don't have to recreate them, because recreating them is very difficult in Dynatrace. It's really hard to say, "Oh, the dashboards that you had on the team that you were using, you're not going to get over here." Or, "You have to re-create them all over again." People are going to ask questions about cost, who is going to do that."
"​Our environment is very complicated anyway, so the initial setup was a bit of a struggle, but only because we have so many applications and JVMs that we have been working on for long time."
"Needs more compatibility of platforms out-of-the-box."
"They could have a better user interface, better automation, better support for cloud-based, and SaaS applications."
"It should be easily scalable and configurable in different instances."
"I would like to be able to see metrics about individual running containers on the host machines."
"The search feature could be improved."
"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."
 

Pricing and Cost Advice

"We license it for two environments, typically all of production and all of one lower environment, usually our staging environment. If there is a downside to Dynatrace, the only thing I can think of would be the cost. If it were cheaper, I'd have it in all my environments. I don't think they're charging more than it's worth, by any means. It's just that good software costs money."
"Pricing is still too expensive."
"Its price is quite high. Although it is worth it, it would be better if its price is reduced. They base their prices around licensing. Their prices are based on agent licensing and consumption licensing. Both of these can be a bit cheaper, but if they are the best in the market, as I consider them to be, I assume that their prices will be higher. They are delivering the product for that price."
"The price range is quite high."
"Price (of the product) is a major concern for all the clients I work with."
"The price could be improved."
"I have not been able to observe more than 1% overhead, despite Dynatrace saying that it can be slightly higher in some situations."
"Product pricing can seem a little over complex, however this is minor and does not detract from the benefits of the solution."
"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
8%
Computer Software Company
8%
Government
6%
Comms Service Provider
11%
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.
881,114 professionals have used our research since 2012.