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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
6.9
Number of Reviews
211
Ranking in other categories
Network Monitoring Software (3rd), IT Infrastructure Monitoring (2nd), Log Management (3rd), Container Monitoring (1st), Cloud Monitoring Software (2nd), AIOps (1st), Cloud Security Posture Management (CSPM) (5th)
Honeycomb Enterprise
Ranking in Application Performance Monitoring (APM) and Observability
27th
Ranking in AI Observability
73rd
Average Rating
7.2
Reviews Sentiment
5.3
Number of Reviews
5
Ranking in other categories
AI Code Assistants (11th)
 

Mindshare comparison

As of February 2026, in the Application Performance Monitoring (APM) and Observability category, the mindshare of Datadog is 5.3%, down from 9.6% compared to the previous year. The mindshare of Honeycomb Enterprise is 1.3%, down from 1.6% 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 (%)
Datadog5.3%
Honeycomb Enterprise1.3%
Other93.4%
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.
meetharoon - PeerSpot reviewer
CEO at a computer software company with 10,001+ employees
Its pattern-matching and code transformation capabilities can be adapted for mass identification and remediation of vulnerable libraries
I asked very specific questions to Mr. Pell about consideration of code security scenarios in pattern design and rules, specifically that tuned with OWASP Top 10. I believe addition of code security focus can be a value-add, though the way Grit architecture is designed and how it works, it is and may not become an alternative choice of code security solutions. Rather, it must be treated as a powerful supplementary tool that augments the existing code security solutions (such as Snyk or Checkmarx) in a DevSecOps or Secure DevOps environment. Anyone interested in learning more on this front or have queries, can get in touch with me for a consulting.

Quotes from Members

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

Pros

"Datadog has positively impacted our organization, as it has eliminated many negative issues, which I call tool sprawl, by replacing four or five separate monitoring tools with one unified platform."
"I like how we can customize alerts, and when alerts have become too noisy, we turn their threshold down fairly easily."
"The feature I have found most valuable is when I can reuse existing monitors and alerts for new dashboards."
"Being able to filter requests by latency is invaluable, as it provides immediate insight into which endpoints require further analysis and optimization."
"It has provided visibility with ease of implementation and allowed multiple teams to quickly onboard it."
"By moving to Datadog, we did not need to manage our own monitoring infrastructure anymore."
"The dashboards are super convenient to us for a more zoomed out view of what is going on with each integration that we utilize."
"The solution is stable."
"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."
"It's very scalable since we used it for a really big organization and it worked."
"The approach offers significant benefits in terms of efficiency, consistency, and proactive security management, particularly valuable for organizations with large, distributed development teams."
"The solution's initial setup process was straightforward since we were getting enough support from Honeycomb.io's team."
 

Cons

"The pricing should be less of a surprise."
"The ability to find what you are looking for when starting out could be improved."
"We have contact with many customers that cover many areas, so we have cases where the infrastructure administration could be improved."
"At times, it can be hard to generate metrics out of logs."
"I would appreciate seeing it as an app or mobile app for quicker issue tracking."
"We need more visibility into the error tracking dashboard."
"Additional metrics should be included."
"It is very difficult to make the solutions fit perfectly for large organizations, especially in terms of high cardinality objects and multi-tenancy, where the data needs to be rolled up to a summarized level while maintaining its individual data granularity and identifiers."
"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 process of log scraping gets delayed on Honeycomb.io. At times, it gives false alerts to the application team."
"However, the reason it's only five is because it's lagging behind in terms of AI-compatible features."
"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."
 

Pricing and Cost Advice

"While it is an expensive product, I would rate the pricing level at four out of five."
"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."
"They prefer monthly subscriptions."
"Our licensing fees are paid on a monthly basis."
"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 cost is high and this can be justified if the scale of the environment is big."
"This solution is budget friendly."
"The price of Datadog is reasonable. Other solutions are more expensive, such as AppDynamics."
Information not available
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Top Industries

By visitors reading reviews
Financial Services Firm
14%
Computer Software Company
11%
Manufacturing Company
8%
Healthcare Company
6%
Computer Software Company
16%
Financial Services Firm
12%
Manufacturing Company
9%
Comms Service Provider
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business80
Midsize Enterprise46
Large Enterprise99
No data available
 

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 asked very specific questions to Mr. Pell about consideration of code security scenarios in pattern design and rules, specifically that tuned with OWASP Top 10. I believe addition of code securit...
What is your primary use case for Honeycomb.io?
Although Grit is a tool code code migration and management of technical debt for large chunks of work, we reviewed Grit from the use case of assisting in faster remediation of vulnerable libraries....
What advice do you have for others considering Honeycomb.io?
We set up Honeycomb.io on all the services so that we can have all the set traces of the communication between all the services inside the company. This helps us understand where it could be failin...
 

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: January 2026.
881,733 professionals have used our research since 2012.