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ITRS Geneos 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

ITRS Geneos
Ranking in Application Performance Monitoring (APM) and Observability
34th
Ranking in IT Infrastructure Monitoring
46th
Average Rating
8.2
Reviews Sentiment
7.1
Number of Reviews
57
Ranking in other categories
Network Monitoring Software (67th)
Stackify
Ranking in Application Performance Monitoring (APM) and Observability
60th
Ranking in IT Infrastructure Monitoring
59th
Average Rating
7.8
Number of Reviews
6
Ranking in other categories
Log Management (58th)
 

Mindshare comparison

As of October 2025, in the Application Performance Monitoring (APM) and Observability category, the mindshare of ITRS Geneos is 1.1%, down from 1.3% compared to the previous year. The mindshare of Stackify is 0.4%, 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 (%)
ITRS Geneos1.1%
Stackify0.4%
Other98.5%
Application Performance Monitoring (APM) and Observability
 

Featured Reviews

Sanket - PeerSpot reviewer
With the help of the solution, we can predict and prevent failures
Currently, the most valuable thing for an individual is a mobile device. Since that is where people are currently tracking everything, we have multiple applications or apps that are for various products. I would like ITRS Geneos to develop an app, where instead of going to specific login terminals or logging into laptops or desktops to check alerts, we can have visibility in the app itself. Using the ITRS Geneos app, we could see the error message during our travels or wherever we are. I would like to see the capacity of messages for forecasting increased. Since the NSE is the number one derivative stock exchange in the work for three consecutive years, the number of messages is important. We use the capacity planner in ITRS to forecast our data needs for the next two months. The planner is important because the volume of data we produce is becoming more and more volatile compared to when we first started using ITRS Geneos in 2014.
Moses Arigbede - PeerSpot reviewer
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

"The Netprobe is so lightweight compared to the agents that most monitoring tools use. It's really superior to the competition. The agent that is used by almost every competitive tool takes a lot more system resources. It's slower and it requires a greater effort and more compromises in terms of security to install on the monitored servers. With Geneos, because it lives outside the code, it is far easier and far less taxing on the monitored systems."
"Real-time log monitoring with desktop alerts is valuable as it tells us immediately when there is an issue."
"In my experience, being able to monitor our databases is a valuable feature as we can create our own queries and aren't reliant on the in-built ones."
"One of the most valuable features is that it can be configured by non-developers. It doesn't require development expertise to configure it."
"It's also easy to implement. The implementation of Geneos is very easy and interesting. It's not complicated. It's very quick to implement. The installation is very easy. There are many topics about ITRS Geneos that explain more about the features of the function of Geneos."
"The great advantage of this tool is real-time monitoring."
"The remarkable feature of Geneos is the dashboard. Geneos' flexible dashboard sets it apart from other monitoring tools. Other solutions have limitations in their dashboard design and can't be customized as much. The Geneos dashboard allows unlimited creativity."
"The ability to completely tailor and customize what it's monitoring is one of its strongest points. A lot of other monitoring tools are good at certain things, but one of my colleagues described it as the “Swiss Army Knife” of monitoring tools. It can do anything you want."
"The performance dashboard and the accurate level of details are beneficial."
"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 solution is stable and reliable."
 

Cons

"There is one drawback to using lightweight data collection: we lack the feature of observability based on time series, such as historical model data. This makes it difficult to view data in ITRS. ITRS needs to improve this feature."
"At the moment Geneos is excellent and handling real time monitoring, however not great at doing historical reporting."
"One area where there is room for improvement is the log file. I would like to be able to do a pre-run on the log files. When you are testing log files for regular expressions, it would be good to be able to do a quick check up front on that side of things before you release that into production."
"ITRS Geneos cloud monitoring is very weak and can use improvement."
"There is a part of the rules for monitoring alerts. I want to understand more about how to choose the samples and the requirements for the rules. That is the part that I want to understand better and get better training for."
"Much of the reporting outside of the user interface is very basic and requires much customization to be useful."
"Geneos' application monitoring could be improved a lot. Products like AppDynamics and Dynatrace provide the process thread-level monitoring, but Geneos lacks these capabilities."
"The deployment method for upgrading is a bit tricky. It takes a little bit of manual effort. If that could be a bit more automated, it would help us a lot."
"It should be easily scalable and configurable in different instances."
"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."
 

Pricing and Cost Advice

"Based on feedback from colleagues and friends working in the financial sector, Geneos is relatively costly. Many companies have been switching from Geneos to Dynatrace, Sysdig, or other monitoring tools in the past two years because of the price."
"The pricing seems reasonable. We're happy enough with it."
"Its price is reasonable. It isn't too expensive, and it isn't too cheap, but it also depends on a company's volume and negotiation."
"It is expensive. They have to look at the model around when we move to cloud and how that's going to work. The licensing cost does pay off because of the improvements in support to our business."
"When I first came in, their pricing was very high. ITRS had a high expectation of what their price should be based on perceived value. I think they have been realizing, more recently, that there are other competitors, so their pricing is a lot better. Licensing for on-premise is okay, however I feel there is quite some work to be done for cloud and containers. We're still working with them to try and work out what that pricing should look like."
"The licensing cost may seem expensive upfront. However, the service is outstanding, the tool does things that no other tools can do, and the customizability more than makes up for the cost of licensing."
"Pricing is the touchy subject, even here. Upper management always wants us to find a cheaper solution. But we have so much integrated with ITRS... It's expensive, but it does its job very well. And you set it and go."
"I can say it's not that cheap because the licensing is a little bit costly"
"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
72%
Computer Software Company
6%
University
5%
Construction Company
2%
Comms Service Provider
9%
Media Company
9%
Insurance Company
8%
Financial Services Firm
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business6
Midsize Enterprise12
Large Enterprise39
By reviewers
Company SizeCount
Small Business3
Midsize Enterprise2
Large Enterprise2
 

Questions from the Community

What is your experience regarding pricing and costs for ITRS Geneos?
The pricing is high. Licensing fees might be around 500$ per server monthly.
What needs improvement with ITRS Geneos?
ITRS Geneos is a legacy system. It predicts or provides proactive measures once an issue is resolved. It doesn't offer any predictive capabilities or root cause analysis. They throw a lot of data i...
What is your primary use case for ITRS Geneos?
ITRS offers multiple products, including upgrades for synthetic monitoring and a SaaS platform. Geneos is used for infrastructure monitoring, covering KPIs such as CPU, memory, processes, network l...
Ask a question
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Comparisons

 

Also Known As

Geneos
No data available
 

Overview

 

Sample Customers

ITRS Geneos is used by over 170 financial institutions, including JPMorgan, HSBC, RBS, Deutsche Bank and Goldman Sachs. Clients range from investment banks to exchanges and brokers.
MyRacePass, ClearSale, Newitts, Carbonite, Boston Software, Children's International, Starkwood Media Group, Fewzion
Find out what your peers are saying about ITRS Geneos vs. Stackify and other solutions. Updated: September 2025.
871,829 professionals have used our research since 2012.