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IBM Instana Observability vs Stackify comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Aug 10, 2025

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

IBM Instana Observability
Ranking in Application Performance Monitoring (APM) and Observability
41st
Average Rating
8.0
Reviews Sentiment
7.4
Number of Reviews
3
Ranking in other categories
No ranking in other categories
Stackify
Ranking in Application Performance Monitoring (APM) and Observability
61st
Average Rating
7.8
Number of Reviews
6
Ranking in other categories
IT Infrastructure Monitoring (59th), Log Management (61st)
 

Mindshare comparison

As of August 2025, in the Application Performance Monitoring (APM) and Observability category, the mindshare of IBM Instana Observability is 0.6%, up from 0.2% compared to the previous year. The mindshare of Stackify is 0.2%, up from 0.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Application Performance Monitoring (APM) and Observability
 

Featured Reviews

Tomas Kim - PeerSpot reviewer
Not expensive and offers good performance
The most valuable feature of the solution is performance. A one-vendor solution serves as a good feature of the tool. In the IT industry, the IT support team has lots of vendors to contact. DB monitoring is done by one company, while WaaS monitoring is done by another and done by another company, which makes it really complicated for the IT team concerned about the security levels. The tool's main feature is that it is a one-vendor solution. The analysis done by the tool is a good feature. The tool is used as an open-source tool. The tool is growing, and new features are being added to the product.
Kalyan Somisetty - PeerSpot reviewer
Simple, easy to configure, and offers trial versions
In the next version, which I want to try, it'll show the comparison of the old responses of the APS. For example, how much time the old response and the new response with the changes. Right now, I cannot differentiate. The graphical interface should be able to capture nicely how much time it has taken and it should be very clear. Sometimes it confuses us. For example, what is this APA for? What were the average responses and how many requests have happened? It needs to give a clear picture. They should enable request and response capturing in the Stackify user interface to show what the request for the APA is. Then, it'll be very good. It should be able to capture the payload. For example, what is the request and what is the response? If it has a nice way of capturing everything then it would be easy. There is no need of using ELK again for logging. As of now, people will use Stackify or maybe Grafana for seeing the stats of the application or responses, however, it doesn't have the capabilities to show everything. People will go for any exception handling or checking the request and response in the ELK. If Stackify can do this future, then it'll be an easier single tool. It is anyway intercepting the logs, application logs. I don't think it's a big matter to capture extra data with the requested response. That requested response capturing also should be configurable since some people want the question response to be captured and for the people that don't want it, we can use that feature. It can be enabled as desired. Many people are using different monitoring tools like ELK, LogStash, and Splunk - many other tools. However, if you can make this kind of performance tool cover everything, then they will not shift to other solutions. It should be easily scalable and configurable in different instances. For example, if the same application is scaled up to differently, it should be easily integrable into Kubernetes pipelines. They should offer plugins to make it more easily integratable. For development enrollment, it should be free to use.

Quotes from Members

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

Pros

"The most valuable features of IBM Instana are its quick data collection and analytics after installing the agent."
"The most valuable feature of the solution is performance."
"The solution has a one-second resolution, giving you the status of your application within one second."
"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 solution is stable and reliable."
"The performance dashboard and the accurate level of details are beneficial."
 

Cons

"One area that requires improvement is related to the automation part, specifically automated actions like sending SMS."
"The solution should include log management and improve reporting and integration with Cognos."
"The product's initial setup phase is not very easy."
"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."
"The search feature could be improved."
"I would like to be able to see metrics about individual running containers on the host machines."
"It should be easily scalable and configurable in different instances."
 

Pricing and Cost Advice

"The solution's pricing is reasonable compared to that of its competitors like Dynatrace."
"The tool's cost is normal as per the market. The tool is not expensive."
"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
17%
Computer Software Company
8%
Manufacturing Company
8%
Hospitality Company
6%
Financial Services Firm
15%
Computer Software Company
9%
Media Company
9%
Comms Service Provider
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
 

Questions from the Community

What is your experience regarding pricing and costs for IBM Instana Observability?
The tool's cost is normal as per the market. The tool is not expensive.
What needs improvement with IBM Instana Observability?
The tool should offer more LDR AI models. The monitoring is just a status, but the next level of a monitoring solution is to prevent an accident or stop an accident status. The solution should be t...
What is your primary use case for IBM Instana Observability?
Before IBM, I ordered our company's engineer to have a look at the tool and test it. I think it was two years ago, the transfer to IBM happened in our company. At the beginning, IBM Instana Observa...
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Overview

 

Sample Customers

Information Not Available
MyRacePass, ClearSale, Newitts, Carbonite, Boston Software, Children's International, Starkwood Media Group, Fewzion
Find out what your peers are saying about IBM Instana Observability vs. Stackify and other solutions. Updated: July 2025.
865,484 professionals have used our research since 2012.