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Honeycomb.io vs ServiceNow Cloud Observability 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

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 (9th)
ServiceNow Cloud Observability
Ranking in Application Performance Monitoring (APM) and Observability
41st
Average Rating
7.6
Reviews Sentiment
6.9
Number of Reviews
4
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of May 2025, in the Application Performance Monitoring (APM) and Observability category, the mindshare of Honeycomb.io is 1.7%, up from 1.3% compared to the previous year. The mindshare of ServiceNow Cloud Observability is 0.4%, down from 0.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Application Performance Monitoring (APM) and Observability
 

Featured Reviews

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.
VinayKumar16 - PeerSpot reviewer
Provides ease of use in areas like analytics and reporting
The feature of the tool that is more impactful for cloud performance stems from the area revolving around analytics and reporting. It is an easy-to-use tool. There is something known as performance analytics within ServiceNow that offers complete analytics, which offers end-to-end analytics along with the KPI metrics with what we have in place and so on. With the aforementioned aspects of the tool, I think we should be able to create a dashboard according to the operations view called the operation dashboard view, specifically for C-level executives.

Quotes from Members

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

Pros

"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."
"To a certain extent, it is possible to save on the costs of the product."
"The ability to create a stream based on different parameters, operation name, service name, URL, tags, and URI part, is one valuable feature."
"The solution Lightstep/ServiceNow has a couple of pretty advanced functionalities to help us investigate a deviation and help the development teams have better observability in the environment using distributed and complex services."
"The UI is very intuitive."
 

Cons

"The process of log scraping gets delayed on Honeycomb.io. At times, it gives false alerts to the application team."
"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 design of this solution is not very intuitive and probably could come with more friendly tips for beginners."
"In terms of licensing, users would want the product to offer them the ability to tailor the tasks offered in the solution to suit their needs."
"The support team could be better. Because of the different versions of different tactics of integrating reactive code base, the documentation is not very clear if someone has to be onboard. I would rate the documentation of Lightstep a five out of ten. It could need improvement."
"The dashboard and graphics must be improved."
 

Pricing and Cost Advice

Information not available
"The product is expensive. I rate the tool's pricing model an eight out of ten."
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Top Industries

By visitors reading reviews
Computer Software Company
16%
Financial Services Firm
14%
Manufacturing Company
9%
Comms Service Provider
7%
Financial Services Firm
21%
Computer Software Company
13%
Retailer
12%
Manufacturing Company
12%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
No data available
 

Questions from the Community

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...
What needs improvement with LightStep?
There are a lot of workflows and connectors. In terms of licensing, users would want the product to offer them the ability to tailor the tasks offered in the solution to suit their needs.
What is your primary use case for LightStep?
I use the solution in my company since it has multiple tenants available. Basically, what happens in business is that you have a hybrid setup model, and for that, you extensively use a cloud platfo...
 

Also Known As

Grit
LightStep
 

Overview

 

Sample Customers

Clover Health, Eaze, Intercom, Fender
InVision, Twilio, Lyft, Yext, DigitalOcean,
Find out what your peers are saying about Honeycomb.io vs. ServiceNow Cloud Observability and other solutions. Updated: April 2025.
851,174 professionals have used our research since 2012.