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Nagios Fusion vs Splunk Observability Cloud comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Mar 29, 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

Nagios Fusion
Ranking in IT Infrastructure Monitoring
72nd
Average Rating
8.2
Reviews Sentiment
7.8
Number of Reviews
4
Ranking in other categories
No ranking in other categories
Splunk Observability Cloud
Ranking in IT Infrastructure Monitoring
7th
Average Rating
8.2
Reviews Sentiment
6.8
Number of Reviews
88
Ranking in other categories
Application Performance Monitoring (APM) and Observability (6th), Network Monitoring Software (7th), Cloud Monitoring Software (5th), Container Management (6th), Digital Experience Monitoring (DEM) (3rd)
 

Mindshare comparison

As of June 2026, in the IT Infrastructure Monitoring category, the mindshare of Nagios Fusion is 0.4%, up from 0.2% compared to the previous year. The mindshare of Splunk Observability Cloud is 2.2%, up from 1.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.
IT Infrastructure Monitoring Mindshare Distribution
ProductMindshare (%)
Splunk Observability Cloud2.2%
Nagios Fusion0.4%
Other97.4%
IT Infrastructure Monitoring
 

Featured Reviews

SI
Operation Director at Digital Pulse Sdn Bhd
A suitable choice for unified and efficient infrastructure monitoring across diverse environments providing user-friendly GUI, cost-effectiveness, and versatility
We use it for this specific client, they've deployed multiple instances of it across various locations to facilitate monitoring. To effectively monitor their infrastructure, it seems necessary to implement additional monitoring solutions for all three types of devices they have Nagios Fusion…
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

"Nagios Fusion version 12.8 excels in user-friendly GUI design, cost-effectiveness, and ease of deployment."
"Being open source lets us customize it for our monitoring needs, saving us money."
"It's very easy to manage and monitor it."
"It is easier for client installation, and the configurations are doable even for a newcomer in the field."
"It has been beneficial for our IT infrastructure."
"I recommend Splunk Observability Cloud to other organizations because we are currently saving our engineers time by 20 to 30 percent, and for infrastructure alerting, we can use it to ensure that servers will not go down."
"The solution has significantly helped improve my operational performance and my company's resilience by providing real-time insights."
"With the metrics collection, I can proactively find incidents and work on the major issues when they happen and predict these issues."
"The most valuable feature is dashboard creation."
"The solution is stable and reliable."
"I manage six tools, but Splunk Observability Cloud is one of my favorites, and I aspire to build my career specializing in it because it has great features, more attention in the market, and is a relatively new tool with promising growth."
"The feature of Splunk Observability Cloud that I prefer most is the easy deployment on the cloud."
 

Cons

"Adding application performance monitoring to the product alongside infrastructure monitoring would make it a more complete and useful solution."
"There are some bugs, although not that many. There are some situations where the solution is not stable but the number of problems is not very high."
"Nagios Fusion should include a 'remember me' option when logging in, so we don't need to enter a username and password every time."
"In future iterations of this solution, there is a desire for more seamless integration with other monitoring software."
"The feedback is that Splunk Observability Cloud is forcing me to modify my logs that I am ingesting in Splunk Observability Cloud in a specific format."
"The solution's machine learning deployment is hard and should be made user-friendly."
"Splunk Infrastructure Monitoring's data analytics can be improved by including suggestions for various types of continuous monitoring."
"The licensing model is expensive. We need to monitor the amount of data ingested because the cost is based on the data collected."
"We still use Splunk Enterprise licensing. A lot of the newer features go into Splunk Cloud before Enterprise. We're not looking to switch our licensing over, so we're falling behind on the newer features."
"I would like to see an improvement and some innovation in the customer interface, which puts something in your design."
"A lot of customers had a hard time effectively searching within the data in Splunk. There is a learning curve from searches to indexes and using all the macros that we have created. It is a little difficult for somebody who has not used it quite a bit and does not have a lot of practice with it, but the AI features that we have been hearing about through Splunk will make it a lot easier for us to use human language to search this data. That is big. That is pretty powerful, and that will help a lot with our customers."
"One area that has room for improvement is the pricing; as I mentioned, it can be expensive due to large data volumes."
 

Pricing and Cost Advice

"The pricing is quite reasonable, especially when compared to the broader market."
"The product is a bit expensive considering the competition but the company may negotiate the price."
"It appears to be expensive compared to competitors."
"I am not in that circle, but we are currently licensing based on our queries. That is working out for us. Previously, it was by volume of data, and now, we can store as much data as we want."
"The pricing is reasonable."
"The pricing is based on several factors, including the scale of deployment."
"It is expensive."
"The price of Splunk APM is less than some of its competitors."
"Splunk's infrastructure monitoring costs can be high because our billing is based on data volume measured in terabytes, rather than the number of devices being monitored."
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Top Industries

By visitors reading reviews
Comms Service Provider
12%
Construction Company
12%
University
8%
Marketing Services Firm
8%
Financial Services Firm
12%
Manufacturing Company
9%
Computer Software Company
8%
Construction Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business32
Midsize Enterprise8
Large Enterprise55
 

Questions from the Community

Ask a question
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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

NuBlue, St.Elisabeth Hospital, Akamit Systems, National Radio Astronomy Observatory, ValueClick, Sunrise Banks
Sunrun, Yelp, Onshape, Tapjoy, Symphony Commerce, Chairish, Clever, Grovo, Bazaar Voice, Zenefits, Avalara
Find out what your peers are saying about Nagios Fusion vs. Splunk Observability Cloud and other solutions. Updated: June 2026.
902,270 professionals have used our research since 2012.