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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
7.0
Number of Reviews
210
Ranking in other categories
Network Monitoring Software (4th), 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
50th
Ranking in Log Management
44th
Ranking in AI Observability
24th
Average Rating
8.0
Number of Reviews
1
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of May 2026, in the Application Performance Monitoring (APM) and Observability category, the mindshare of Datadog is 4.7%, down from 9.3% compared to the previous year. The mindshare of Groundcover Observability Platform is 0.2%. It is calculated based on PeerSpot user engagement data.
Application Performance Monitoring (APM) and Observability Mindshare Distribution
ProductMindshare (%)
Datadog4.7%
Groundcover Observability Platform0.2%
Other95.1%
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.
reviewer2711826 - PeerSpot reviewer
Backend Engineer at a insurance company with 201-500 employees
Quick deployment and continuous updates enhance user satisfaction
I recently visited their booth and reported a bug, which they demonstrated and logged. They assured me it would be fixed by tomorrow.Regarding future versions of Groundcover Observability Platform, they deploy new versions every Monday through rolling updates. I think we need to work on our side to better fit Groundcover, as we have situations where it's difficult to connect between different places over an entire API call, but that's our responsibility, not theirs.

Quotes from Members

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

Pros

"Its integration definitely stands out. It provides seamless monitoring of all our systems, services, apps, and whatever else we secure and monitor. Visualizations have become simpler with dashboards. We are getting visibility into systems, services, and apps stack through a single pane of glass, which is good. We are able to put logs in context."
"The product has offered increased visibility via logging APM, metrics, RUM, etc."
"Datadog's visibility and debugging features help me day-to-day; specifically, we had an application that was throwing a bunch of errors causing an issue in our production database, and using Datadog, we were able to immediately isolate the error and plan around it."
"The integration and configuration are incredibly simple. The SaaS offering is remarkably easy to set up, especially if you're coming from a Graphite environment or anything that uses a StatsD."
"Datadog has proven to be easy to set up and legible for both development and operational teams."
"Sometimes it's more user friendly for development teams, and there are parts of Datadog that are more understandable for development teams; for example, the APM in Datadog works more manually and works like the tools in New Relic, Grafana, or Elastic, making it easier to understand for software development teams."
"Each component complements the other, creating a cohesive system where data, logs, and metrics are seamlessly integrated."
"By moving to Datadog, we did not need to manage our own monitoring infrastructure anymore."
"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."
 

Cons

"Datadog needs more local Asia-Pacific support, and if they don't have a SaaS solution in Asia-Pacific, they should offer an on-prem version. I'm told that's not possible."
"I would like testing for data in the future."
"It would also be nice if we had more insight into our own usage of Datadog (agents and custom metrics). They provide a usage page which does help, but it is not in real-time."
"It is very difficult to make the solutions fit perfectly for large organizations, especially in terms of high cardinality objects and multi-tenancy, where the data needs to be rolled up to a summarized level while maintaining its individual data granularity and identifiers."
"They need to implement template variables into the message response body."
"I find the setup cost to be too expensive. The setup cost for Datadog is more than $100. I am evaluating the usage of this solution, however, it is too expensive."
"One of the improvement opportunities that we have identified in my project concerns how hard it is to manage an organizational structure when you have multiple things in one organization, and you want to provide some kind of isolation between them."
"Once Datadog has gained wide adoption, it can often be overwhelming to both know and understand where to go to find answers to questions."
"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."
"Pricing seemed easy until the bill came in and some things were not accounted for."
"The solution is fairly priced but history and log storage can get costly depending on your needs."
"This solution is budget friendly."
"If you do your homework, you'll find that if you're really concerned with cost, it's good."
"It has always scaled for us. Cost scales up too, but that is not necessarily a bad thing. It's reasonable for what they're providing."
"It didn't scale well from the cost perspective. We had a custom package deal."
"The cost is high and this can be justified if the scale of the environment is big."
Information not available
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Top Industries

By visitors reading reviews
Financial Services Firm
15%
Computer Software Company
9%
Manufacturing Company
8%
Healthcare Company
6%
Construction Company
51%
Comms Service Provider
8%
Financial Services Firm
7%
Outsourcing Company
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business82
Midsize Enterprise47
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 recently visited their booth and reported a bug, which they demonstrated and logged. They assured me it would be fixed by tomorrow.Regarding future versions of Groundcover Observability Platform,...
What is your primary use case for Groundcover Observability Platform?
My main use cases for Groundcover Observability Platform ( /products/groundcover-observability-platform-reviews ) are as a monitoring tool for debugging and monitoring. I use it to review logs, che...
What advice do you have for others considering Groundcover Observability Platform?
These issues with Groundcover Observability Platform are quick to fix. We have an SRE person at the company who works with them closely and uses Groundcover constantly. He creates amazing graphs, m...
 

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, Dynatrace, Splunk and others in Application Performance Monitoring (APM) and Observability. Updated: April 2026.
892,678 professionals have used our research since 2012.