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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
6.8
Reviews Sentiment
5.1
Number of Reviews
6
Ranking in other categories
AI Code Assistants (11th)
 

Mindshare comparison

As of March 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

"The performance of Datadog is good."
"The ease of dashboard creation and alarm monitoring has helped us not only stay competitive but be industry leaders in performance."
"With Datadog I can look at the health of the technology stack and services."
"Session recordings have been the most valuable to me as it helps me gain insights into user behaviour at scale."
"I have found the logging and tracing features the most valuable."
"The flexibility to create notebooks and dashboards and fully customize them gives us a lot of power to track the exact services and endpoints we are working on."
"I like how we can customize alerts, and when alerts have become too noisy, we turn their threshold down fairly easily."
"It has empowered all our platform engineers with a very powerful and easy to use monitoring system."
"The solution's most valuable features are the queries for the OpenTelemetry events and all the tracing."
"Honeycomb Enterprise has positively impacted our organization by providing live alerts."
"The approach offers significant benefits in terms of efficiency, consistency, and proactive security management, particularly valuable for organizations with large, distributed development teams."
"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."
"The solution's initial setup process was straightforward since we were getting enough support from Honeycomb.io's team."
"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."
"It's very scalable since we used it for a really big organization and it worked."
 

Cons

"Presently, the billing CSV reports provide insights into billing-related information yet are somewhat limited in functionality, typically offering reports with only three columns."
"Datadog is a platform that can be improved by making its pricing more predictable, as sometimes it is difficult to forecast exactly how much a new project will cost until after we have started ingesting the data."
"While the documentation is very good, there are areas that need a lot of focus to pick up on the key details."
"Deploying the agents is still very manual."
"Datadog could be improved if the menu system was a little clearer and less cluttered, making it easier to navigate."
"Datadog can be improved if there is an AI functionality enabled."
"The installation is easy for me. However, if you are new to this solution it might not be so easy."
"Datadog could always lower the price!"
"I rate Honeycomb Enterprise a seven out of ten because I feel a lot of the journeys could be made cleaner."
"I have used better tools, I would say. I would not say that I prefer Honeycomb Enterprise as much."
"However, the reason it's only five is because it's lagging behind in terms of AI-compatible features."
"We can make alerts based on static numbers, which may block us from building alerts that could be generic enough or could be serviced."
"The way Grit architecture is designed and how it works, it is and may not become an alternative choice of code security solutions."
"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."
 

Pricing and Cost Advice

"It has a module-based pricing model."
"It is easy to run up a large bill, so become familiar with the cost of each piece of your bill and use the metrics they supply to estimate and monitor your bill."
"The cost is high and this can be justified if the scale of the environment is big."
"It didn't scale well from the cost perspective. We had a custom package deal."
"The pricing came up a bit compared to their competitors. It is not that the price has risen, but that the competitors have gone down. They keep adding more features that I would have expected to be baked in at a more nominal price. I have been increasingly dissatisfied with the pricing, but not enough to jump ship."
"They prefer monthly subscriptions."
"Sometimes it's very hard to project how much it will cost for the monthly subscription for the next month when you add certain features. Having better visibility of the cost would give a better experience."
"The solution is fairly priced but history and log storage can get costly depending on your needs."
Information not available
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Top Industries

By visitors reading reviews
Financial Services Firm
14%
Computer Software Company
10%
Manufacturing Company
8%
Healthcare Company
6%
Computer Software Company
15%
Financial Services Firm
13%
Manufacturing Company
9%
Comms Service Provider
9%
 

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 Business3
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?
The major thing that's missing from Honeycomb Enterprise is AI compatibility. As far as I know, it's not really a text-based or code-based tool. It's more of a UI right now, which before this parad...
What is your primary use case for Honeycomb.io?
We were building a product for one of the biggest wealth management platforms in the world, an American wealth management platform. For them, it is really important for the product to be reliable a...
What advice do you have for others considering Honeycomb.io?
Having those alerts and metrics in Slack helps with our SLAs. If we ever have downtime in a service, we can get back to it straight away. I rate Honeycomb Enterprise a seven out of ten because I fe...
 

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.
884,873 professionals have used our research since 2012.