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Datadog vs Honeycomb Enterprise comparison

 

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

Datadog
Ranking in Application Performance Monitoring (APM) and Observability
1st
Ranking in AI Observability
1st
Average Rating
8.6
Reviews Sentiment
7.0
Number of Reviews
209
Ranking in other categories
Network Monitoring Software (3rd), IT Infrastructure Monitoring (2nd), Log Management (4th), Container Monitoring (1st), Cloud Monitoring Software (1st), AIOps (1st), Cloud Security Posture Management (CSPM) (5th)
Honeycomb Enterprise
Ranking in Application Performance Monitoring (APM) and Observability
27th
Ranking in AI Observability
60th
Average Rating
7.0
Reviews Sentiment
5.3
Number of Reviews
7
Ranking in other categories
AI Code Assistants (11th)
 

Mindshare comparison

As of April 2026, in the Application Performance Monitoring (APM) and Observability category, the mindshare of Datadog is 5.2%, down from 9.5% compared to the previous year. The mindshare of Honeycomb Enterprise is 1.2%, down from 1.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Application Performance Monitoring (APM) and Observability Mindshare Distribution
ProductMindshare (%)
Datadog5.2%
Honeycomb Enterprise1.2%
Other93.6%
Application Performance Monitoring (APM) and Observability
 

Featured Reviews

Dhroov Patel - PeerSpot reviewer
Site Reliability Engineer at Grainger
Has improved incident response with better root cause visibility and supports flexible on-call scheduling
Datadog needs to introduce more hard limits to cost. If we see a huge log spike, administrators should have more control over what happens to save costs. If a service starts logging extensively, I want the ability to automatically direct that log into the cheapest log bucket. This should be the case with many offerings. If we're seeing too much APM, we need to be aware of it and able to stop it rather than having administrators reach out to specific teams. Datadog has become significantly slower over the last year. They could improve performance at the risk of slowing down feature work. More resources need to go into Fleet Automation because we face many problems with things such as the Ansible role to install Datadog in non-containerized hosts. We mainly want to see performance improvements, less time spent looking at costs, the ability to trust that costs will stay reasonable, and an easier way to manage our agents. It is such a powerful tool with much potential on the horizon, but cost control, performance, and agent management need improvement. The main issues are with the administrative side rather than the actual application.
MukeshSharma - PeerSpot reviewer
Lead Engineer at Qualys
Tracing microservices has exposed gaps in visibility but has provided high-cardinality insights
I have used better tools, I would say. I would not say that I prefer Honeycomb Enterprise as much. I have used Dynatrace, and I found it more comprehensive, and AppDynamics and other tools. These tools can also provide good information, but I find other tools better. Most of the products, I would say, such as Dynatrace or AppDynamics or New Relic, are targeting this microservices market. I think Honeycomb Enterprise can have something very dedicated for microservices because there is an explosion in the migration from monolithic to microservices. If Honeycomb Enterprise can create a stable solution which is easy to use and which gives additional value and helps for faster debugging with microservices, they can certainly gain market share from others. Tracing is already there. I just wish that these tools are a bit less cryptic. These tools sometimes get quite cryptic for new users. The less cryptic they can be made, that can help these tools. Another thing is that for microservices, when you have multiple microservices installed, that is also required. There are tools where you install on a single microservice, but then these microservices interact with multiple microservices. That kind of picture, I have seen that in AppDynamics; they do give a picture showing that a particular request which arrived here had interaction with these other third-party services or microservices and databases. That is what we need. That is what performance engineers and SREs need to see for each request, where it spent the entire time; how many other services or databases it interacted with and what took more or less time, and if there is a sequence, it should highlight that also. Was it parallel or if, for instance, a call to service A and then a call was made to a database, or a call to service A and a database were in parallel, that kind of information.

Quotes from Members

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

Pros

"Datadog has given us near-live visibility across our entire cloud platform."
"It has turned into an operational dashboard; if you feel something is going wrong, you can immediately open up Datadog, and it has been our go-to application because we know the answer will be there."
"Session recordings have been the most valuable to me as it helps me gain insights into user behaviour at scale."
"The two most valuable aspects are the Terraform provider for Datadog and the K8s Orchestrator."
"The ease of graph building is nice, and MUCH easier than Prometheus."
"The tools are powerful and intuitive to set up."
"The single pane of glass view with maneuvering between products has helped us to truly understand root causes after incidents."
"The agents feature in Datadog stands out as a valuable asset within our organization due to its robust functionality, versatility, and role in providing comprehensive monitoring and observability capabilities."
"The approach offers significant benefits in terms of efficiency, consistency, and proactive security management, particularly valuable for organizations with large, distributed development teams."
"Honeycomb Enterprise has positively impacted our organization by providing live alerts."
"The solution's initial setup process was straightforward since we were getting enough support from Honeycomb.io's team."
"Honeycomb Enterprise played a vital role in identifying the problems in the initial calls itself, which has actually saved us a lot of incidents and reduced customer complaints by almost ninety to ninety-two to ninety-three percent as per the data I have."
"The solution's most valuable features are the queries for the OpenTelemetry events and all the tracing."
"It's very scalable since we used it for a really big organization and it worked."
"From a pros perspective, Honeycomb Enterprise could be a better candidate with high cardinality; when there are too many unique values, Honeycomb Enterprise could be more beneficial there."
"From a pros perspective, Honeycomb Enterprise could be a better candidate with high cardinality; when there are too many unique values, Honeycomb Enterprise could be more beneficial there."
 

Cons

"The pricing model can be quite complex and might benefit from more flexible options tailored to different organizational needs."
"The cost does add up quickly, so it can be some effort to justify the necessary outlay to those paying the bills."
"There are things about it that we would like to be fixed, such as it is taking averages of average. This results in data that we don't expect, but overall we are happy with it."
"In terms of application monitoring, Datadog is not up to the level that New Relic is."
"Datadog has become significantly slower over the last year. They could improve performance at the risk of slowing down feature work."
"It is far too easy to run up huge unexpected costs."
"The product needs to have more enterprise approach to configuration."
"Datadog's roadmap can be a bit unpredictable at times."
"The way Grit architecture is designed and how it works, it is and may not become an alternative choice of code security solutions."
"I rate Honeycomb Enterprise a seven out of ten because I feel a lot of the journeys could be made cleaner."
"We can make alerts based on static numbers, which may block us from building alerts that could be generic enough or could be serviced."
"I have used better tools, I would say. I would not say that I prefer Honeycomb Enterprise as much."
"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."
"On the negative side, dashboarding is not that great."
"However, the reason it's only five is because it's lagging behind in terms of AI-compatible features."
 

Pricing and Cost Advice

"Datadog does not provide any free plans to use the solution. When I start with a proof of concept it would be sensible to have a free plan to test the tool and check whether it fits the requirements of the project. Before the production stage, it is always good to have a free plan with some limited features, number of requests, or logs."
"They prefer monthly subscriptions."
"The solution is fairly priced but history and log storage can get costly depending on your needs."
"It has always scaled for us. Cost scales up too, but that is not necessarily a bad thing. It's reasonable for what they're providing."
"The pricing and licensing through AWS Marketplace has been good. It would be nice if it was cheaper, but their pricing is reasonable for what it is. Sometimes, for their newer features, they charge as if it's fully fleshed out, even though it is a newer feature and it may have less stuff than their other items."
"Licensing is based on the retention period of logs and metrics."
"If you do your homework, you'll find that if you're really concerned with cost, it's good."
"The cost is high and this can be justified if the scale of the environment is big."
Information not available
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Top Industries

By visitors reading reviews
Financial Services Firm
13%
Computer Software Company
10%
Manufacturing Company
8%
Healthcare Company
6%
Computer Software Company
15%
Financial Services Firm
12%
Manufacturing Company
8%
Comms Service Provider
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business81
Midsize Enterprise46
Large Enterprise99
By reviewers
Company SizeCount
Small Business4
Large Enterprise4
 

Questions from the Community

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...
Datadog vs ELK: which one is good in terms of performance, cost and efficiency?
With Datadog, we have near-live visibility across our entire platform. We have seen APM metrics impacted several times lately using the dashboards we have created with Datadog; they are very good c...
Which would you choose - Datadog or Dynatrace?
Our organization ran comparison tests to determine whether the Datadog or Dynatrace network monitoring software was the better fit for us. We decided to go with Dynatrace. Dynatrace offers network ...
What needs improvement with Honeycomb.io?
I have used better tools, I would say. I would not say that I prefer Honeycomb Enterprise as much. I have used Dynatrace, and I found it more comprehensive, and AppDynamics and other tools. These t...
What is your primary use case for Honeycomb.io?
I am part of the performance engineering practice, and I lead the performance engineering practice at my current employer. We use Honeycomb Enterprise for tracing, which is application performance ...
What advice do you have for others considering Honeycomb.io?
Another thing is that for microservices, when you have multiple microservices installed, that is also required. There are tools where you install on a single microservice, but then these microservi...
 

Also Known As

No data available
Grit
 

Overview

 

Sample Customers

Adobe, Samsung, facebook, HP Cloud Services, Electronic Arts, salesforce, Stanford University, CiTRIX, Chef, zendesk, Hearst Magazines, Spotify, mercardo libre, Slashdot, Ziff Davis, PBS, MLS, The Motley Fool, Politico, Barneby's
Clover Health, Eaze, Intercom, Fender
Find out what your peers are saying about Datadog vs. Honeycomb Enterprise and other solutions. Updated: March 2026.
885,376 professionals have used our research since 2012.