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Elastic Observability vs Honeycomb.io comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Oct 8, 2024
 

Categories and Ranking

Elastic Observability
Ranking in Application Performance Monitoring (APM) and Observability
7th
Average Rating
8.0
Reviews Sentiment
6.9
Number of Reviews
26
Ranking in other categories
IT Infrastructure Monitoring (7th), Log Management (11th), Container Monitoring (4th), Cloud Monitoring Software (7th)
Honeycomb.io
Ranking in Application Performance Monitoring (APM) and Observability
28th
Average Rating
8.6
Reviews Sentiment
7.0
Number of Reviews
2
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of December 2024, in the Application Performance Monitoring (APM) and Observability category, the mindshare of Elastic Observability is 6.4%, up from 5.3% compared to the previous year. The mindshare of Honeycomb.io is 1.8%, 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

Adelina Craciun - PeerSpot reviewer
Customization enables tailored monitoring and alerting across departments
The possibility to customize it has been quite useful. Whatever the other departments want to dream up, we implement. Whatever they want to monitor, the granularity of it, the changes in the threshold, and the anomalies that they want reported all require some development. So far, every single request has been fulfilled.
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

"We use AppDynamics and Elastic. The reason why we're using Elastic APM is because of the license count. It's very favorable compared to AppDynamics. It's inexpensive; it's economical."
"The price is very less expensive compared to the other solutions."
"The most valuable feature of Elastic Observability is the text search."
"For full stack observability, Elastic is the best tool compared with any other tool ."
"Machine learning is the most valuable feature of this solution."
"It's easy to deploy, and it's very flexible."
"Elastic team communicated well with us, so we decided to give it a try."
"The solution has been stable in our usage."
"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."
 

Cons

"When opening tickets, we cannot use our team mailbox."
"Elastic Observability is difficult to use. There are only three options for customization but this can be difficult for our use case. We do not have other options to choose the metrics shown, such as CPU or memory usage."
"The auto-discovery isn't nearly as good. That's a big portion of it. When you drop the agent onto the JVM and you're trying to figure things out, having to go through and manually do all that is cumbersome."
"The price is the only issue in the solution. It can be made better and cheaper."
"If we had some pre-defined templates for observability that we could start using right away after deploying it – instead of having to build or to change some of the dashboards – that would be helpful."
"Elastic Observability’s price could be improved."
"In the future, Elastic APM needs a portfolio iTool. They can provide an easy way to develop the custom UI for Kibana."
"There's a steep learning curve if you've never used this solution before."
"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

"The product’s pricing needs improvement."
"Elastic Observability is cheaper than other similar solutions, such as Dynatrace. Its license calculation is based on various factors like data volume and physical infrastructure, particularly related to RAM capacity."
"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."
"Users have to pay for some features, like the alerts on different channels, because they are unavailable in different source versions."
"It is expensive. It is not cheap."
"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."
"The product is not that cheap."
Information not available
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Top Industries

By visitors reading reviews
Financial Services Firm
22%
Computer Software Company
15%
Manufacturing Company
8%
Government
6%
Financial Services Firm
18%
Computer Software Company
16%
Manufacturing Company
8%
Healthcare Company
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
 

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?
Elastic Observability is cost-efficient and provides all features in the enterprise license without asset-based licensing. However, sizing and licensing information could be clearer.
What needs improvement with Elastic Observability?
Elastic Observability could improve asset discovery as the current requirement to push the agent is not ideal. Simplifying the parsing of logs and manual efforts would also be beneficial.
What do you like most about Honeycomb.io?
The solution's initial setup process was straightforward since we were getting enough support from Honeycomb.io's team.
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...
 

Comparisons

 

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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.io and other solutions. Updated: December 2024.
824,053 professionals have used our research since 2012.