Try our new research platform with insights from 80,000+ expert users

Datadog vs Honeycomb.io comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Apr 20, 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

Datadog
Ranking in Application Performance Monitoring (APM) and Observability
1st
Average Rating
8.6
Reviews Sentiment
7.1
Number of Reviews
187
Ranking in other categories
Network Monitoring Software (4th), IT Infrastructure Monitoring (2nd), Log Management (3rd), Container Monitoring (2nd), Cloud Monitoring Software (2nd), AIOps (1st), Cloud Security Posture Management (CSPM) (6th)
Honeycomb.io
Ranking in Application Performance Monitoring (APM) and Observability
24th
Average Rating
8.6
Reviews Sentiment
7.0
Number of Reviews
2
Ranking in other categories
AI Code Assistants (11th)
 

Mindshare comparison

As of June 2025, in the Application Performance Monitoring (APM) and Observability category, the mindshare of Datadog is 8.6%, down from 10.8% compared to the previous year. The mindshare of Honeycomb.io is 1.6%, up from 1.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Application Performance Monitoring (APM) and Observability
 

Featured Reviews

Kevin Palmer - PeerSpot reviewer
Useful log aggregation and management with helpful metrics aggregation
Datadog provides us value in three major ways: First, Datadog provides best-in-class functionality in many, if not all, of the products to which we subscribe (infrastructure, APM, log management, serverless, synthetics, real user monitoring, DB monitoring). In my experience with other tools that provide similar functionality, Datadog provides the largest feature set with the most flexibility and the best performance. Second, Datadog allows us to access all of those services in one place. Having to learn and manage only one tool for all of those purposes is a major benefit. Third, Datadog provides significant connectivity between those services so that we can view, summarize, organize, translate and correlate our data with maximum effect. Not needing to manually integrate them to draw lines between those pieces of information is a huge time savings for us.
Diego Gomes De Lima - PeerSpot reviewer
Easy to use and the dashboard is very intuitive
We faced some OpenTelemetry metrics lost between the communication from the service and the Honeycomb.io. I can't say if this is a Honeycomb.io issue or if there are some limitations in OpenTelemetry. Alerts are very helpful in Honeycomb.io, but we don't usually merge because we can compare queries with queries for making alerts. We can make alerts based on static numbers, which may block us from building alerts that could be generic enough or could be serviced.

Quotes from Members

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

Pros

"The server monitoring, service monitoring, and user session monitoring are extremely helpful, as they allow us to be alerted ahead of time of issues that users might experience."
"The integration into AWS is key as well as our software is currently bound to AWS."
"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."
"Across CCM and the rest of Datadog, I like how sharable everything is."
"Real user monitoring gives us invaluable insights into actual user experiences, helping us prioritize improvements where they matter most."
"This spectrum of solutions has allowed us to track down bugs faster and more rapidly, which allows us to limit revenue lost during downtime."
"Thanks to frequent concurrent deployments, the DataDog alerts monitors allow us quickly detect issues if anything occurs."
"The most valuable features are logging, the extensive set of integrations, and easy jumpstart."
"The solution's most valuable features are the queries for the OpenTelemetry events and all the tracing."
"The solution's initial setup process was straightforward since we were getting enough support from Honeycomb.io's team."
 

Cons

"Its pricing model can be improved. Its settings should be improved for a better understanding of billing. They should also provide some alerts when there is an increase in the usage. For example, if there is 20% more increase from one week to another, the customer should get an alert."
"The error traceability is an area that can be improved."
"It's not that straightforward when creating an alert. The syntax is a little confusing."
"A big problem with Datadog is the billing. They need to make the billing more user-friendly."
"Datadog isn't as mature as some of the established players like Dynatrace or Splunk. It's a new product, so they are constantly releasing new features, and I don't have much to complain about."
"We need more visibility into the error tracking dashboard."
"Their security features could be improved. We looked at their Security Monitoring feature but it was early in its development. Datadog are just getting into the security space so I'm sure this will improve in the future."
"The cost does add up quickly, so it can be some effort to justify the necessary outlay to those paying the bills."
"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."
 

Pricing and Cost Advice

"While it is an expensive product, I would rate the pricing level at four out of five."
"It has a module-based pricing model."
"Pricing is somewhat affordable compared to other solutions but in order to really lower the costs of other products you need to plan very carefully your resources usage, otherwise, it can get expensive real quick."
"The price of Datadog is reasonable. Other solutions are more expensive, such as AppDynamics."
"Pricing seemed easy until the bill came in and some things were not accounted for."
"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."
"It didn't scale well from the cost perspective. We had a custom package deal."
"My advice is to really keep an eye on your overage costs, as they can spiral really fast."
Information not available
report
Use our free recommendation engine to learn which Application Performance Monitoring (APM) and Observability solutions are best for your needs.
856,873 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Educational Organization
20%
Computer Software Company
13%
Financial Services Firm
13%
Manufacturing Company
7%
Computer Software Company
16%
Financial Services Firm
15%
Manufacturing Company
9%
Comms Service Provider
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
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?
We faced some OpenTelemetry metrics lost between the communication from the service and the Honeycomb.io. I can't say if this is a Honeycomb.io issue or if there are some limitations in OpenTelemet...
What is your primary use case for Honeycomb.io?
The solution is mainly used for stack observability. It observes service behavior or any kind of failure that may be happening. The tool is also related to research. My company is working more on t...
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...
 

Comparisons

 

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.io and other solutions. Updated: June 2025.
856,873 professionals have used our research since 2012.