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Elastic Observability 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

Elastic Observability
Ranking in Application Performance Monitoring (APM) and Observability
10th
Average Rating
8.0
Reviews Sentiment
6.8
Number of Reviews
29
Ranking in other categories
IT Infrastructure Monitoring (15th), Log Management (15th), Container Monitoring (5th), Cloud Monitoring Software (11th)
Honeycomb Enterprise
Ranking in Application Performance Monitoring (APM) and Observability
27th
Average Rating
6.8
Reviews Sentiment
5.1
Number of Reviews
6
Ranking in other categories
AI Code Assistants (11th), AI Observability (60th)
 

Mindshare comparison

As of March 2026, in the Application Performance Monitoring (APM) and Observability category, the mindshare of Elastic Observability is 2.2%, down from 5.9% 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 (%)
Elastic Observability2.2%
Honeycomb Enterprise1.2%
Other96.6%
Application Performance Monitoring (APM) and Observability
 

Featured Reviews

Mohammed-Abdelalim - PeerSpot reviewer
Assistant Vice President at QualityKiosk Technologies Pvt. Ltd.
Has provided powerful customization for unique monitoring needs but needs more out-of-the-box capabilities
In my opinion, the best features of Elastic Observability are their flexibility to integrate with other existing systems and the ability to build a unified monitoring tool that can integrate with existing ones and end-to-end user journeys which require a lot of customizations. The greatest feature in Elastic is the ability to customize. This is similar to my comments about customizable dashboards in Elastic because it's visible to the analyst. However, it's very great. Customizing these dashboards can meet the customer's specific use cases and specific stories that they have in their environment, their special environment that doesn't look like other environments. The dashboarding in Elastic is highly customizable to the level of logos. If the customer wants his company logo in the dashboard, it can be done.
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 price is very less expensive compared to the other solutions."
"The most valued feature of Elastic is its log analytics capabilities."
"It is scalable and supports multitenancy, which is beneficial for MSPs."
"I found Elk to be excellent for log analytics, security analytics, application code-level analytics, collaboration with DevOps teams, CI/CD, microservices, and Kubernetes, specifically cloud-native or cloud-specific tasks."
"The solution has been stable in our usage."
"I recommend Elastic Observability for its completeness of vision and wide ecosystem."
"The tool's most valuable feature is centralized logging. Elastic Common Search helps us to search for the logs across the organization."
"It's easy to deploy, and it's very flexible."
"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."
"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."
"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."
"It's very scalable since we used it for a really big organization and it worked."
 

Cons

"Elastic Observability needs to have better standardization, logging, and schema."
"There's a steep learning curve if you've never used this solution before."
"The tool's scalability involves a more complex implementation process. It requires careful calculations to determine the number of nodes needed, the specifications of each node, and the configuration of hot, warm, and cold zones for data storage. Additionally, managing log retention policies adds further complexity. The solution's pricing also needs to be cheaper."
"There could be more low-code features included in the product."
"There is room for improvement regarding its APM capabilities."
"I am familiar with Azure Monitor, which I find more user-friendly compared to Elastic, which is a very technical tool."
"They need more skills in the market. There are not enough skills in the market. It is not pervasive enough on the market, in my opinion. In other words, there isn't a big enough user base."
"One example is the inability to monitor very old databases with the newest version."
"The way Grit architecture is designed and how it works, it is and may not become an alternative choice of code security solutions."
"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."
"I have used better tools, I would say. I would not say that I prefer Honeycomb Enterprise as much."
"I rate Honeycomb Enterprise a seven out of ten because I feel a lot of the journeys could be made cleaner."
"However, the reason it's only five is because it's lagging behind in terms of AI-compatible features."
"I have used better tools, I would say. I would not say that I prefer Honeycomb Enterprise as much."
 

Pricing and Cost Advice

"One needs to pay for the licenses, and it is an annual subscription model right now."
"Elastic Observability's pricing could be better for small-scale users."
"Since we are a huge company, Elastic Observability is an affordable solution for us."
"So far, there are just the standard licensing fees. Several of the components are embedded in the license or are even open source. They're even free depending on what you use, which makes it even more appealing to someone that is discussing pricing of the solution."
"There are two types: cloud and SaaS. They charge based on data ingestion, ingest rate, hard retention, and warm retention. I believe it costs around $25,000 annually to ingest 30GB of data daily. That is the SaaS version. There is also a self-managed license where the customer manages their own infrastructure on-prem. In such cases, there are three license tiers that respectively cost $5,000 annually per node, $7,000 per node, and $12,500 per node."
"The product is not that cheap."
"The price of Elastic Observability is expensive."
"We will buy a premium license after POC."
Information not available
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Top Industries

By visitors reading reviews
Financial Services Firm
15%
Computer Software Company
13%
Manufacturing Company
8%
Government
7%
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 Business9
Midsize Enterprise4
Large Enterprise16
By reviewers
Company SizeCount
Small Business3
Large Enterprise4
 

Questions from the Community

What do you like most about Elastic Observability?
Elastic Observability significantly improves incident response time by providing quick access to logs and data across various sources. For instance, searching for specific keywords in logs spanning...
What is your experience regarding pricing and costs for Elastic Observability?
The problem is their licensing model, which is a bit confusing. Many customers struggle to understand their total cost of ownership because Elastic licensing is not dependent on easy, quantifiable ...
What needs improvement with Elastic Observability?
After careful consideration about areas for improvement in Elastic Observability, aspects such as pricing, customization, implementation, and scalability could be improved. As a user of the system,...
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

PSCU, Entel, VITAS, Mimecast, Barrett Steel, Butterfield Bank
Clover Health, Eaze, Intercom, Fender
Find out what your peers are saying about Elastic Observability vs. Honeycomb Enterprise and other solutions. Updated: March 2026.
884,873 professionals have used our research since 2012.