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Groundcover Observability Platform vs Splunk Observability Cloud 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

Groundcover Observability P...
Ranking in Application Performance Monitoring (APM) and Observability
47th
Average Rating
8.0
Reviews Sentiment
5.4
Number of Reviews
3
Ranking in other categories
Log Management (41st), AI Observability (25th)
Splunk Observability Cloud
Ranking in Application Performance Monitoring (APM) and Observability
5th
Average Rating
8.2
Reviews Sentiment
6.8
Number of Reviews
89
Ranking in other categories
Network Monitoring Software (7th), IT Infrastructure Monitoring (4th), Cloud Monitoring Software (4th), Container Management (5th), Digital Experience Monitoring (DEM) (3rd)
 

Mindshare comparison

As of August 2026, in the Application Performance Monitoring (APM) and Observability category, the mindshare of Groundcover Observability Platform is 0.3%. The mindshare of Splunk Observability Cloud is 2.5%, up from 2.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Application Performance Monitoring (APM) and Observability Mindshare Distribution
ProductMindshare (%)
Splunk Observability Cloud2.5%
Groundcover Observability Platform0.3%
Other97.2%
Application Performance Monitoring (APM) and Observability
 

Featured Reviews

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.
PK
Project Manager at AGRICULTURE SKILL COUNCIL OF INDIA (ASCI)
Unified observability has improved real-time governance and now drives data-led decisions
Log Observer Connect is embedded here, but we are facing some delays in centralized log collection and analysis, which can be further fastened. We are collecting all the data metrics and decision-making insights, but all these data-driven decisions coming from different applications are not connected somewhere. A consolidated form or correlation of these insights is not happening between each other due to which we feel we are missing something significant. Some generalized feedback includes that predictive alerts or alarms which can be integrated with AI-driven alarms and alerting features should be established so that there is AI-driven intelligence and anomaly detection happening with a complete systematic process in service delivery. Application dependencies are huge, and business and operational dashboards should be improved. Right now there are very interactive custom dashboards, and every now and then, the personalization of enhancements keeps happening. KPI monitoring, executive reporting, and analytics have definitely been introduced to a great extent. There are few things in cloud-native monitoring, such as integration with AWS and Azure, where we sometimes do face lags. Those things can definitely be improved upon. I have used Datadog and Dynatrace before using Splunk Observability Cloud. Datadog was definitely recommended by most of our peers because of its very strong comprehensive observability and very strong and unique dashboard systems. Dynatrace was also very good because they have offered a lot of AI-driven analysis methods and processes, which was helping our organization a lot. Since our organization has a very strong IT ecosystem for agriculture, very different kinds of customized things are required.

Quotes from Members

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

Pros

"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 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%."
"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."
"The solution monitors attacks or unauthorized access to the information we want to protect."
"We are happy with what we have, how it is deployed and how it serves the need we have deployed it to fill."
"We utilize the APM and auto-detectors, as the core metrics and core alerts are available for us, which are the features of Splunk Observability Cloud that I appreciate the most."
"It is a good tool. It allows you to set alerts for application and infrastructure monitoring, and it allows you to create dashboards."
"Splunk Observability Cloud is extremely reliable and an extremely trusted source, and it has definitely gained public faith and public trust."
"Previously, we faced a systematic performance lag of around twenty to thirty percent, which has now reduced to just two to five percent—an improvement we can credibly showcase to our clientele."
"With the metrics collection, I can proactively find incidents and work on the major issues when they happen and predict these issues."
"Splunk APM helps us to find errors immediately and resolve them."
 

Cons

"I think it would be beneficial to see the body and content of API calls in the traces as a possible improvement."
"Querying data from Groundcover is not easy if you do not have specific information."
"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."
"This solution is difficult to configure and the instructions are complex."
"They need more EDR functionalities."
"Splunk would be better if some tools were integrated to be able to take action on security or network concerns."
"The licensing model is expensive. We need to monitor the amount of data ingested because the cost is based on the data collected."
"To improve Splunk Observability Cloud, we need more applications to be included in the observability so that more applications can have agents to monitor them and bring that information to the cloud."
"They can get more integration with a few more products. They can also update some of the dashboards that are in there now."
"Splunk's functionality could be improved by adding database connectors for other platforms like AWS and Azure."
"In terms of additional features I would want to see in future releases, since Cisco acquired Splunk, more Cisco integration could be beneficial."
 

Pricing and Cost Advice

Information not available
"It appears to be expensive compared to competitors."
"I would rate the price of Splunk Infrastructure Monitoring as an eight out of ten, with ten being the most expensive."
"The product is a bit expensive considering the competition but the company may negotiate the price."
"It is expensive."
"Splunk APM is a very cost-efficient solution."
"Splunk Infrastructure Monitoring is an expensive solution."
"Splunk APM is expensive."
"Splunk offers a 14-day free trial and after that, we have to pay but the cost is reasonable."
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Top Industries

By visitors reading reviews
Construction Company
37%
Financial Services Firm
9%
Recreational Facilities/Services Company
7%
Comms Service Provider
7%
Financial Services Firm
11%
Manufacturing Company
8%
Construction Company
8%
Computer Software Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business33
Midsize Enterprise9
Large Enterprise56
 

Questions from the Community

What needs improvement with Groundcover Observability Platform?
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 th...
What is your primary use case for Groundcover Observability Platform?
My main use case for Groundcover Observability Platform is for application logs, insights, workload observability, and visibility.
What advice do you have for others considering Groundcover Observability Platform?
Groundcover Observability Platform is a good platform and very good to use. I would rate this review as highly positive.
What needs improvement with SignalFx?
Regarding dashboard customization, while Splunk has many dashboard building options, customers sometimes need to create specific dashboards, particularly for applicative metrics such as Java and pr...
What is your primary use case for SignalFx?
The solution involves observability in general, such as Application Performance Monitoring, and generally addresses digital applications, web applications, sites, and mobile applications. I worked ...
What advice do you have for others considering SignalFx?
We're a customer and end-user. Currently, in France, we cannot use the artificial intelligence option. While this option is enabled for the United States and many countries, it's not yet available ...
 

Also Known As

No data available
Splunk Infrastructure Monitoring, Splunk Real User Monitoring (RUM), Splunk Synthetic Monitoring
 

Overview

 

Sample Customers

Information Not Available
Sunrun, Yelp, Onshape, Tapjoy, Symphony Commerce, Chairish, Clever, Grovo, Bazaar Voice, Zenefits, Avalara
Find out what your peers are saying about Groundcover Observability Platform vs. Splunk Observability Cloud and other solutions. Updated: July 2026.
909,948 professionals have used our research since 2012.