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Edge Delta vs Elastic Observability 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

Edge Delta
Ranking in Application Performance Monitoring (APM) and Observability
80th
Ranking in Log Management
64th
Average Rating
8.0
Number of Reviews
1
Ranking in other categories
Security Information and Event Management (SIEM) (80th), Observability Pipeline Software (7th)
Elastic Observability
Ranking in Application Performance Monitoring (APM) and Observability
11th
Ranking in Log Management
16th
Average Rating
8.0
Reviews Sentiment
6.8
Number of Reviews
29
Ranking in other categories
IT Infrastructure Monitoring (15th), Container Monitoring (6th), Cloud Monitoring Software (11th)
 

Mindshare comparison

As of June 2026, in the Application Performance Monitoring (APM) and Observability category, the mindshare of Edge Delta is 0.5%, up from 0.0% compared to the previous year. The mindshare of Elastic Observability is 1.8%, down from 5.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Application Performance Monitoring (APM) and Observability Mindshare Distribution
ProductMindshare (%)
Elastic Observability1.8%
Edge Delta0.5%
Other97.7%
Application Performance Monitoring (APM) and Observability
 

Featured Reviews

KajalSharma - PeerSpot reviewer
Software Development Engineering Testing at HighLevel
Centralized observability has accelerated incident resolution and currently improves release monitoring
Overall, Edge Delta is a strong observability platform, but there are a few areas where it could be improved. One area is dashboard and reporting customization. The platform provides useful operational insights, but having more flexibility to create highly tailored views for different teams would be beneficial. Another area is onboarding and usability. Observability platforms can be complex, especially for new users, so additional guided workflows, recommendations, and learning resources could help teams become productive more quickly. Deeper integration visibility would be useful as well. Many organizations use multiple monitoring, logging, and incident management tools, so having even better cross-platform correlation and troubleshooting workflows would add value. On the pricing side, observability platforms can become expensive as data volume grows. More granular cost optimization insights and usage visibility would help organizations better understand how data consumption impacts cost and where optimizations can be made. The platform is strong in its core capabilities. The improvements I would prioritize would be deeper ecosystem integrations, enhanced cost visibility, and more intelligent automation to help teams act on observability data more efficiently.
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.

Quotes from Members

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

Pros

"The biggest benefit has been the reduction in troubleshooting and incident investigation time, as root-cause analysis has become roughly thirty to forty percent faster, allowing engineers to spend less time searching through logs and more time resolving issues."
"I have built a mini business intelligence system based on Elastic Observability."
"The solution allows us to track performance via metrics and we're able to see where latency is happening."
"All the features that we use, such as monitoring, dashboarding, reporting, the possibility of alerting, and the way we index the data, are important."
"Elastic Observability is highly stable; we ingested nearly 170 million records in the system and we have tested it, and you get your reports and dashboards within a few seconds, so it doesn't take much time."
"Elastic APM has plenty of features, such as the Elastic server for Kibana and many additional plugins. It's a comprehensive tool when used as a logging platform."
"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."
"The ability to ensure that the data is searchable and maintainable is highly valuable for our purposes."
 

Cons

"On the pricing side, observability platforms can become expensive as data volume grows."
"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 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."
"I would advise others to use a different solution than Elastic APM."
"With Elastic, you need to code and program more things compared to Dynatrace."
"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."
"Elastic Observability needs to improve the retrieval of logs and metrics from all the instances."
"Elastic Observability is reactive rather than proactive. It should act as an ITSM tool and be able to create tickets and alerts on Jira."
"Elastic Observability’s price could be improved."
 

Pricing and Cost Advice

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

By visitors reading reviews
Transportation Company
20%
Construction Company
20%
Comms Service Provider
16%
University
6%
Financial Services Firm
15%
Computer Software Company
11%
Government
7%
Manufacturing Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business9
Midsize Enterprise4
Large Enterprise16
 

Questions from the Community

Ask a question
Earn 20 points
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 is your primary use case for Elastic Observability?
My use case for Elastic Observability is observability, as we upload our customers' data, including logs, and when there is an issue, we can analyze what went wrong.
 

Overview

 

Sample Customers

Information Not Available
PSCU, Entel, VITAS, Mimecast, Barrett Steel, Butterfield Bank
Find out what your peers are saying about Datadog, Dynatrace, Splunk and others in Application Performance Monitoring (APM) and Observability. Updated: May 2026.
899,324 professionals have used our research since 2012.