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Elastic Observability vs Groundcover Observability Platform comparison

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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
12th
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 (5th), Cloud Monitoring Software (11th)
Groundcover Observability P...
Ranking in Application Performance Monitoring (APM) and Observability
47th
Ranking in Log Management
38th
Average Rating
8.6
Reviews Sentiment
4.3
Number of Reviews
4
Ranking in other categories
AI Observability (28th)
 

Mindshare comparison

As of November 2026, in the Application Performance Monitoring (APM) and Observability category, the mindshare of Elastic Observability is 1.5%, down from 3.3% compared to the previous year. The mindshare of Groundcover Observability Platform is 0.4%, up from 0.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Application Performance Monitoring (APM) and Observability Mindshare Distribution
ProductMindshare (%)
Elastic Observability1.5%
Groundcover Observability Platform0.4%
Other98.1%
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.
EO
Software Engineer at FairMoney
Centralized observability has improved transaction monitoring and now reduces errors through faster troubleshooting
Groundcover Observability Platform is already very vast, and improving it requires proper training for even a software developer to be able to use it. A person in tech needs training to navigate the system. The UI is better, but it can be improved to include a more intuitive design that easily explains itself to users so that navigation is simpler. Many features are hidden, and you need someone who is experienced with the platform to direct you on how to view certain information or complete specific tasks and walk you through the process. It would be better if Groundcover focused more on simplifying the user interface and improving human-computer interactions of the dashboard to make it so easy for a new developer or specialist to navigate and get what they need quickly. Querying data from Groundcover is not easy if you do not have specific information. You cannot perform a wildcard search in the text box. If you go to the log and enter an error message, it will not bring any results for you. You must first specify the workload or pods you are looking for, then enter the error. You need to add tags and put in your strings to be able to search for your particular logs or errors. If you just put a wildcard search in the text box, it will not work and will appear as if there are no logs that relate to that search, when in reality the logs exist. Making it easier for developers, users, and specialists using Groundcover to navigate and get what they need without the help of an experienced person walking them through is very important. This improvement is not about functionality but more about making navigation easier.

Quotes from Members

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

Pros

"The very positive features are the cost effectiveness and the range of things that you can implement."
"Its diverse set of features available on the cloud is of significant importance."
"The price is very less expensive compared to the other solutions."
"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 solution has been stable in our usage."
"Machine learning is the most valuable feature of this solution."
"All the features that we use, such as monitoring, dashboarding, reporting, the possibility of alerting, and the way we index the data, are important."
"For full stack observability, Elastic is the best tool compared with any other tool like New Relic or AppDynamics or Dynatrace."
"Groundcover Observability Platform scales effectively with our organization's growth as we add new environments and everything works great, and the migration from our old product went very smoothly, allowing us to deprecate it rather quickly."
"We switched to Groundcover Observability Platform primarily because of the difficult query syntax in our previous solution, and we chose Groundcover for their business model as they don't charge based on log storage, they provide the infrastructure, and from a security perspective, the data stays in-house, which wasn't the case with our previous tool."
"Groundcover Observability Platform has positively impacted my organization by allowing me to pay only for what I use since it is stored in the cloud, and I do not need to pay for buckets of 1 gigabyte, 5 gigabytes, or other options."
"Troubleshooting is very fast compared to manual investigation or using the other forms of logging that we used to have, and downtime and errors have decreased because we are able to see our performance and workload pods performing better, increase CPU and memory resources as soon as usage goes above the threshold, and make our application more scalable and improve performance metrics, reducing the number of errors in the application by at least 70%."
"Groundcover Observability Platform has impacted my organization positively as it is the primary way we use observability in our company, so it has a significant impact."
 

Cons

"The only challenging aspect for new users is often writing the query language."
"The solution needs to use more AI. Once the product onboards AI, users would more effectively be able to track endpoints for specific messages."
"Elastic Observability could improve asset discovery as the current requirement to push the agent is not ideal."
"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."
"Elastic Observability’s price could be improved."
"I would advise others to use a different solution than Elastic APM."
"There's a steep learning curve if you've never used this solution before."
"Elastic APM's visualization is not that great compared to other tools. It's number of metrics is very low."
"Querying data from Groundcover is not easy if you do not have specific information."
"I think it would be beneficial to see the body and content of API calls in the traces as a possible improvement."
"I would appreciate the ability to eliminate incident.io and have all the alerting in one place."
"I would assess the stability and reliability of Groundcover Observability Platform as an eight out of ten; while I haven't experienced issues personally, I am aware they occasionally encounter some challenges."
 

Pricing and Cost Advice

"Users have to pay for some features, like the alerts on different channels, because they are unavailable in different source versions."
"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."
"The product’s pricing needs improvement."
"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."
"We will buy a premium license after POC."
"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."
"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."
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Top Industries

By visitors reading reviews
Financial Services Firm
13%
Computer Software Company
9%
Comms Service Provider
8%
Outsourcing Company
7%
Construction Company
32%
Comms Service Provider
9%
Financial Services Firm
8%
Recreational Facilities/Services Company
7%
 

Company Size

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

Questions from the Community

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.
What needs improvement with Groundcover Observability Platform?
I would appreciate the ability to eliminate incident.io and have all the alerting in one place. Currently, I am dropping the critical incidents from Groundcover Observability Platform to incident.i...
What is your primary use case for Groundcover Observability Platform?
Groundcover Observability Platform serves as my primary observability system, and day-to-day, I am viewing the logs, metrics, and the performance of my application that is deployed in Kubernetes. I...
What advice do you have for others considering Groundcover Observability Platform?
My advice for others looking into using Groundcover Observability Platform is that once people try it, they will understand how easy and good it is, but it needs to get a chance. Most people workin...
 

Overview

 

Sample Customers

PSCU, Entel, VITAS, Mimecast, Barrett Steel, Butterfield Bank
Information Not Available
Find out what your peers are saying about Elastic Observability vs. Groundcover Observability Platform and other solutions. Updated: November 2026.
920,769 professionals have used our research since 2012.