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Elastic Observability vs Scout APM comparison

 

Comparison Buyer's Guide

Executive Summary

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
7th
Average Rating
8.0
Reviews Sentiment
6.7
Number of Reviews
28
Ranking in other categories
IT Infrastructure Monitoring (10th), Log Management (14th), Container Monitoring (4th), Cloud Monitoring Software (6th)
Scout APM
Ranking in Application Performance Monitoring (APM) and Observability
63rd
Average Rating
10.0
Number of Reviews
1
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of October 2025, in the Application Performance Monitoring (APM) and Observability category, the mindshare of Elastic Observability is 3.9%, down from 6.5% compared to the previous year. The mindshare of Scout APM is 0.4%, up from 0.3% 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 (%)
Elastic Observability3.9%
Scout APM0.4%
Other95.7%
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.
Antonio_Barros - PeerSpot reviewer
Great visibility and reliability with fair pricing
The solution is stable. It's pretty easy to set up, especially if you have the knowledge base and/or you have a partner assist you. The product can scale. The processes are great. It helps with services and microservices. The product is great for man different industries, including energy, government, finance, and more.

Quotes from Members

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

Pros

"The solution allows us to dig deep into data."
"Machine learning is the most valuable feature of this solution."
"The product has connectors to many services."
"All the features that we use, such as monitoring, dashboarding, reporting, the possibility of alerting, and the way we index the data, are important."
"Its diverse set of features available on the cloud is of significant importance."
"Good design and easy to use once implemented."
"The tool's most valuable feature is centralized logging. Elastic Common Search helps us to search for the logs across the organization."
"I have built a mini business intelligence system based on Elastic Observability."
"The product can scale."
 

Cons

"More web features could be added to the product."
"Elastic Observability is an excellent product for monitoring and visibility, but it lacks predictive analytics. Most solutions are aligned with the AIOps requirements, but this piece is missing in Elastic and should be included."
"There's a steep learning curve if you've never used this solution before."
"Elastic Observability needs to improve the retrieval of logs and metrics from all the instances."
"The price is the only issue in the solution. It can be made better and cheaper."
"One example is the inability to monitor very old databases with the newest version."
"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."
"Elastic Observability could improve asset discovery as the current requirement to push the agent is not ideal."
"I can't recall coming across any missing features."
 

Pricing and Cost Advice

"Pricing is one of those situations where the more you use it, the more you pay."
"Elastic Observability's pricing could be better for small-scale users."
"The product’s pricing needs improvement."
"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."
"We will buy a premium license after POC."
"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."
"Users have to pay for some features, like the alerts on different channels, because they are unavailable in different source versions."
"We have been using the open-source version."
Information not available
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Top Industries

By visitors reading reviews
Financial Services Firm
17%
Computer Software Company
14%
Manufacturing Company
8%
Government
6%
No data available
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business8
Midsize Enterprise4
Large Enterprise16
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?
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?
Out-of-the-box use cases have room for improvement in Elastic Observability. They don't invest a lot in building out-of-the-box observable use cases, and they are more focusing on giving a very fle...
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Comparisons

 

Overview

 

Sample Customers

PSCU, Entel, VITAS, Mimecast, Barrett Steel, Butterfield Bank
Chargify, Synctree, Aptuitiv, Barnes and Noble, Journey, Geosnapshot, Kongregate, PaperTrail, Adobe, SendGrid, Sentry
Find out what your peers are saying about Datadog, Dynatrace, Splunk and others in Application Performance Monitoring (APM) and Observability. Updated: September 2025.
868,787 professionals have used our research since 2012.