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Honeycomb Enterprise vs Stackify comparison

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Comparison Buyer's Guide

Executive SummaryUpdated on Feb 8, 2026

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

Honeycomb Enterprise
Ranking in Application Performance Monitoring (APM) and Observability
10th
Average Rating
7.8
Reviews Sentiment
5.8
Number of Reviews
20
Ranking in other categories
AI Code Assistants (8th), AI Observability (9th)
Stackify
Ranking in Application Performance Monitoring (APM) and Observability
62nd
Average Rating
7.8
Number of Reviews
6
Ranking in other categories
IT Infrastructure Monitoring (68th), Log Management (56th)
 

Mindshare comparison

As of November 2026, in the Application Performance Monitoring (APM) and Observability category, the mindshare of Honeycomb Enterprise is 1.0%, down from 1.3% compared to the previous year. The mindshare of Stackify is 0.8%, up from 0.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Application Performance Monitoring (APM) and Observability Mindshare Distribution
ProductMindshare (%)
Honeycomb Enterprise1.0%
Stackify0.8%
Other98.2%
Application Performance Monitoring (APM) and Observability
 

Featured Reviews

EN
Tech Consultant at multi ideal
Observability has transformed how I troubleshoot microservices and reduce incident time
Overall, I have had a very good experience with Honeycomb Enterprise, but there are a few areas where it could be improved. I would like to see more out-of-the-box dashboards and templates for common Kubernetes and cloud-native workloads so that new users can get value more quickly. The learning curve can be steep, especially for engineers who are new to distributed tracing and observability concepts. Additionally, while the query capabilities are very powerful, there are times when specifying advanced query workflows could be improved to provide a better overall experience for troubleshooting and observability. Beyond what I mentioned, there are a few other areas that could also be improved. I would like to see even deeper native integration with more DevOps and ITSM tools to make it easier to connect observability data directly into incident management and operational workflows. Regarding pricing, Honeycomb Enterprise delivers strong value, but as organizations scale and generate larger volumes of telemetry, cost can become a consideration. More flexible pricing options or cost optimization features for high-volume environments would be helpful. My support experience has been generally positive, but faster turnaround time for complex technical issues and more advanced implementation guides or best practices documentation would make onboarding and troubleshooting easier. These improvements would make an already strong observability platform even more accessible and scalable for enterprise teams.
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

"BubbleUp is particularly helpful in comparing problematic requests with normal ones and highlighting unusual patterns in the telemetry data, which helps me narrow down the potential root cause without manually reviewing large amounts of logs and telemetry data, making the troubleshooting process more efficient."
"Using Honeycomb Enterprise as a tracing service made it very quick to identify and fix issues."
"Honeycomb Enterprise helps me examine the request trace across the API, the downstream services, and the database calls to identify the slow operation and investigate the root cause."
"Honeycomb Enterprise has had a very positive impact on our organization by reducing the time it takes to identify and resolve production issues."
"The solution's initial setup process was straightforward since we were getting enough support from Honeycomb.io's team."
"The solution's most valuable features are the queries for the OpenTelemetry events and all the tracing."
"Efficiency improvements in processes with Honeycomb Enterprise have definitely been seen, and the most representative example is that more projects can be handled than could be done prior to using Honeycomb Enterprise."
"The approach offers significant benefits in terms of efficiency, consistency, and proactive security management, particularly valuable for organizations with large, distributed development teams."
"What stood out to us were the metrics and granular details we received."
"My advice to anyone who wants to use Stackify is to go for it because my experience with it is good."
"It is very simple and very easy to configure."
"The performance dashboard and the accurate level of details are beneficial."
"The solution is stable and reliable."
"We switched from New Relic and Loggly as it provides us more info at a lower price."
"Within few hours of install we've identify the source of issue we've been investigating for few days and couldn't pin point."
"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."
 

Cons

"The process of log scraping gets delayed on Honeycomb.io. At times, it gives false alerts to the application team."
"I have used better tools, I would say. I would not say that I prefer Honeycomb Enterprise as much."
"I rate Honeycomb Enterprise a seven out of ten because I feel a lot of the journeys could be made cleaner."
"I suggest a few areas where Honeycomb Enterprise could improve. One is better onboarding for OpenTelemetry and more customizable dashboards, clearer cost forecasting, and stronger integrations with DevOps and incident management workflows."
"The areas for improvement with Honeycomb Enterprise lie in the query UI, which could be improved to a more current standard."
"One challenge is that many things have to be defined manually and are not totally automated, while some competitors used for different projects or clients do have automation."
"There are a lot many negatives that Honeycomb Enterprise is having. One of them is that it needs good instrumentation and instrumentation to work properly."
"The learning curve can be steep, especially for engineers who are new to distributed tracing and observability concepts."
"One thing that happens as a new user on Stackify is when you install the agent it pulls everything and if you're not careful, your log allowance will just be exhausted as you are actually pulling too much data."
"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."
"Better mobile support."
"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."
"Another improvement would be the agent memory utilization, which led to our recent reevaluation."
"I would like to be able to see metrics about individual running containers on the host machines."
"It's not easy to set up. It's hard especially for juniors to understand."
"It should be easily scalable and configurable in different instances."
 

Pricing and Cost Advice

Information not available
"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
Manufacturing Company
10%
Comms Service Provider
10%
Financial Services Firm
9%
Computer Software Company
9%
Comms Service Provider
20%
Construction Company
19%
Outsourcing Company
8%
Performing Arts
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business13
Midsize Enterprise4
Large Enterprise17
By reviewers
Company SizeCount
Small Business3
Midsize Enterprise2
Large Enterprise2
 

Questions from the Community

What needs improvement with Honeycomb.io?
The learning curve for things such as traces, spans, high-cardinality data, and advanced queries is an area where Honeycomb Enterprise can be improved. I would rate Honeycomb Enterprise around 8.5 ...
What is your primary use case for Honeycomb.io?
My primary use case for Honeycomb Enterprise is troubleshooting production applications and distributed services using the observability data, particularly when a normal log search is not enough to...
What advice do you have for others considering Honeycomb.io?
Some of the best features Honeycomb Enterprise offers include distributed tracing, which is probably the most important feature for my use case, and it helped me answer where the request spent its ...
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Also Known As

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Sample Customers

Clover Health, Eaze, Intercom, Fender
MyRacePass, ClearSale, Newitts, Carbonite, Boston Software, Children's International, Starkwood Media Group, Fewzion
Find out what your peers are saying about Honeycomb Enterprise vs. Stackify and other solutions. Updated: November 2026.
920,769 professionals have used our research since 2012.