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Datadog vs Groundcover Observability Platform 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

Datadog
Ranking in Application Performance Monitoring (APM) and Observability
1st
Ranking in Log Management
4th
Ranking in AI Observability
1st
Average Rating
8.6
Reviews Sentiment
6.9
Number of Reviews
211
Ranking in other categories
Network Monitoring Software (3rd), IT Infrastructure Monitoring (2nd), Container Monitoring (3rd), Cloud Monitoring Software (1st), AIOps (1st), Cloud Security Posture Management (CSPM) (5th)
Groundcover Observability P...
Ranking in Application Performance Monitoring (APM) and Observability
47th
Ranking in Log Management
41st
Ranking in AI Observability
25th
Average Rating
8.0
Reviews Sentiment
5.4
Number of Reviews
3
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of August 2026, in the Application Performance Monitoring (APM) and Observability category, the mindshare of Datadog is 4.4%, down from 9.0% compared to the previous year. The mindshare of Groundcover Observability Platform is 0.3%. It is calculated based on PeerSpot user engagement data.
Application Performance Monitoring (APM) and Observability Mindshare Distribution
ProductMindshare (%)
Datadog4.4%
Groundcover Observability Platform0.3%
Other95.3%
Application Performance Monitoring (APM) and Observability
 

Featured Reviews

Dhroov Patel - PeerSpot reviewer
Site Reliability Engineer at Grainger
Has improved incident response with better root cause visibility and supports flexible on-call scheduling
Datadog needs to introduce more hard limits to cost. If we see a huge log spike, administrators should have more control over what happens to save costs. If a service starts logging extensively, I want the ability to automatically direct that log into the cheapest log bucket. This should be the case with many offerings. If we're seeing too much APM, we need to be aware of it and able to stop it rather than having administrators reach out to specific teams. Datadog has become significantly slower over the last year. They could improve performance at the risk of slowing down feature work. More resources need to go into Fleet Automation because we face many problems with things such as the Ansible role to install Datadog in non-containerized hosts. We mainly want to see performance improvements, less time spent looking at costs, the ability to trust that costs will stay reasonable, and an easier way to manage our agents. It is such a powerful tool with much potential on the horizon, but cost control, performance, and agent management need improvement. The main issues are with the administrative side rather than the actual application.
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 solution has helped our organization with custom events to track specific cases."
"Even if something goes wrong and the Datadog tenant becomes completely compromised or if all our monitors were to get erased for whatever reason, we can always restore all our monitoring setup through Terraform, which provides peace of mind."
"Watchdog is a favorite feature among a lot of the devs. It catches things they didn't even know were an issue."
"Anything I've wanted to do, I found a way to get it done through Datadog."
"Each component complements the other, creating a cohesive system where data, logs, and metrics are seamlessly integrated."
"The feature I have found most valuable is when I can reuse existing monitors and alerts for new dashboards."
"Thanks to frequent concurrent deployments, the DataDog alerts monitors allow us quickly detect issues if anything occurs."
"The biggest thing I liked was the combination of all the things - monitoring, log aggregation, and profiling."
"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."
"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."
"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%."
"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."
 

Cons

"Technical support is slow. It takes forever to get responses from the support team."
"While the UI and search functionality are excellent, further improvement could be made in the querying of logs by offering more advanced templates or suggestions based on common use cases."
"Datadog is expensive."
"We primarily use the log management functionality, and the only feedback I have there is better fuzzy text searching in logs (the kind that Kibana has)."
"There is occasional UI slowness and bugs."
"While the tool is robust with many different capabilities, users would greatly benefit from more examples in the documentation."
"Datadog has become significantly slower over the last year. They could improve performance at the risk of slowing down feature work."
"It can have a more modernized pricing mechanism. We're actually working with them to figure out how to become more modular and have a better and more modernized pricing mechanism. The issue with Datadog is that you have to buy the whole suite of different products, and you kind of get stuck in the old utilization of 40% of their suite. Most organizations today break down between application development, networking, and security. Therefore, there should be a way to break down different modules into just app dev, infosec, networking, etc. Customers have various needs across their business lines, and sometimes, they're just not willing to have tools that they're not using 100%. AppDynamics is probably a little bit better in terms of being modular."
"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 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

"I am not satisfied with its licensing. Its payment is based on the exported data, and there was an explosion of the data for three or four weeks. My customer was not alerted, and there was no way for them to see that there has been an explosion of data. They got a big invoice for one or two months. The pricing model of Datadog is based on the data. The customer was quite surprised about not being alerted about this explosion of data. They should provide some kind of alert when there is an increase in usage."
"The cost is high and this can be justified if the scale of the environment is big."
"The pricing came up a bit compared to their competitors. It is not that the price has risen, but that the competitors have gone down. They keep adding more features that I would have expected to be baked in at a more nominal price. I have been increasingly dissatisfied with the pricing, but not enough to jump ship."
"Pricing and licensing are reasonable for what they give you. You get the first five hosts free, which is fun to play around with. Then it's about four dollars a month per host, which is very affordable for what you get out of it. We have a lot of hosts that we put a lot of custom metrics into, and every host gives you an allowance for the number of custom metrics."
"The price is better than some competing products."
"The pricing and licensing through AWS Marketplace has been good. It would be nice if it was cheaper, but their pricing is reasonable for what it is. Sometimes, for their newer features, they charge as if it's fully fleshed out, even though it is a newer feature and it may have less stuff than their other items."
"It is easy to run up a large bill, so become familiar with the cost of each piece of your bill and use the metrics they supply to estimate and monitor your bill."
"Sometimes it's very hard to project how much it will cost for the monthly subscription for the next month when you add certain features. Having better visibility of the cost would give a better experience."
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Top Industries

By visitors reading reviews
Financial Services Firm
14%
Manufacturing Company
9%
Computer Software Company
8%
Outsourcing Company
6%
Construction Company
38%
Financial Services Firm
9%
Recreational Facilities/Services Company
8%
Manufacturing Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business82
Midsize Enterprise49
Large Enterprise100
No data available
 

Questions from the Community

Any advice about APM solutions?
There are many factors and we know little about your requirements (size of org, technology stack, management systems, the scope of implementation). Our goal was to consolidate APM and infra monitor...
Datadog vs ELK: which one is good in terms of performance, cost and efficiency?
With Datadog, we have near-live visibility across our entire platform. We have seen APM metrics impacted several times lately using the dashboards we have created with Datadog; they are very good c...
Which would you choose - Datadog or Dynatrace?
Our organization ran comparison tests to determine whether the Datadog or Dynatrace network monitoring software was the better fit for us. We decided to go with Dynatrace. Dynatrace offers network ...
What needs improvement with Groundcover Observability Platform?
I cannot think of something specific regarding improvements for Groundcover Observability Platform as it is quite effective, especially compared to my previous experience with a Rapid7 platform, wh...
What is your primary use case for Groundcover Observability Platform?
My main use case for Groundcover Observability Platform is monitoring Kubernetes clusters and pods, as well as logs from our production product. I use Groundcover Observability Platform with my Kub...
What advice do you have for others considering Groundcover Observability Platform?
My advice to others considering Groundcover Observability Platform is that I would recommend a monitoring application for everyone. It is simply a matter of becoming accustomed to it, and Groundcov...
 

Overview

 

Sample Customers

Adobe, Samsung, facebook, HP Cloud Services, Electronic Arts, salesforce, Stanford University, CiTRIX, Chef, zendesk, Hearst Magazines, Spotify, mercardo libre, Slashdot, Ziff Davis, PBS, MLS, The Motley Fool, Politico, Barneby's
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Find out what your peers are saying about Datadog vs. Groundcover Observability Platform and other solutions. Updated: August 2026.
908,834 professionals have used our research since 2012.