Elastic Observability vs Nagios Fusion comparison

Elastic and Nagios are both solutions in the IT Infrastructure Monitoring category. Elastic is ranked #9 with an average rating of 8.7, while Nagios is ranked #64. Elastic holds a 2.0% mindshare in IM, compared to Nagios’s 0.4% mindshare. Additionally, 88% of Elastic users are willing to recommend the solution, compared to 100% of Nagios users who would recommend it.

Elastic Observability

Read 29 Elastic Observability reviews

8,436 Views
3,374 Comparison Views

88% willing to recommend

Nagios Fusion

Read 4 Nagios Fusion reviews

492 Views
487 Comparison Views

100% willing to recommend

Elastic Observability

Nagios Fusion

Comparison Buyer's Guide

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Executive SummaryUpdated on Oct 9, 2024

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Nagios Fusion and Elastic Observability are competitive products in IT monitoring. Elastic Observability has an upper hand with its advanced features that suggest a valued investment by buyers.

Features: Elastic Observability is recognized for its comprehensive data analytics suite, superior logs, metrics, and trace capabilities. It provides a feature-rich environment for in-depth data analysis. Nagios Fusion offers centralized server monitoring, robust alerting capabilities, and essential features for diverse IT infrastructures.

Room for Improvement: Elastic Observability may benefit from simplifying deployment and offering more intuitive user interfaces. Enhancing its ease of integration with existing systems and reducing complexity in its setup could improve user experience. Nagios Fusion might improve its data analytics capabilities, expand integration options with other platforms, and offer more detailed visualization tools.

Ease of Deployment and Customer Service: Nagios Fusion is known for straightforward deployment and strong support, ensuring minimal setup complexity. Elastic Observability's deployment can be more complex due to extensive features, offset by comprehensive documentation and scalable support options.

Pricing and ROI: Nagios Fusion provides a more accessible entry cost, appealing to small to medium enterprises mindful of expenditure. Elastic Observability, with its higher initial costs, offers significant ROI through enhanced data capabilities and integration potential, making it a valuable investment for larger businesses prioritizing extended analytical functions.

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To learn more, read our detailed Elastic Observability vs. Nagios Fusion Report (Updated: January 2026).

Buyer's Guide

Elastic Observability vs. Nagios Fusion

January 2026

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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 IT Infrastructure Monitoring

9th

Average Rating

8.0

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

Application Performance Monitoring (APM) and Observability (6th), Log Management (14th), Container Monitoring (4th), Cloud Monitoring Software (7th)

Nagios Fusion

Ranking in IT Infrastructure Monitoring

64th

Average Rating

8.2

Reviews Sentiment

7.8

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of January 2026, in the IT Infrastructure Monitoring category, the mindshare of Elastic Observability is 2.0%, down from 4.5% compared to the previous year. The mindshare of Nagios Fusion is 0.4%, up from 0.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.

IT Infrastructure Monitoring Market Share Distribution
Product	Market Share (%)
Elastic Observability	2.0%
Nagios Fusion	0.4%
Other	97.6%

IT Infrastructure Monitoring

Featured Reviews

Mohammed-Abdelalim

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.

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SyarulIdzuddin Adzmi

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…

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Quotes from Members

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

Pros

"Good design and easy to use once implemented."

"The tool's most valuable feature is centralized logging. Elastic Common Search helps us to search for the logs across the organization."

"For full stack observability, Elastic is the best tool compared with any other tool ."

"It is very stable, and I would rate it ten out of ten based on my interaction with it."

"The most valuable feature of Elastic Observability is the text search."

"Elastic provides built-in features for queries and report generation. It's a very good tool for monitoring integration capabilities."

"The ability to ensure that the data is searchable and maintainable is highly valuable for our purposes."

"We can view and connect different sources to the dashboard using it."

More Elastic Observability pros

"Being open source lets us customize it for our monitoring needs, saving us money."

"Nagios Fusion version 12.8 excels in user-friendly GUI design, cost-effectiveness, and ease of deployment."

"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."

Cons

"Elastic Observability’s price could be improved."

"If we had some pre-defined templates for observability that we could start using right away after deploying it – instead of having to build or to change some of the dashboards – that would be helpful."

"Elastic APM's visualization is not that great compared to other tools. It's number of metrics is very low."

"The solution needs to use more AI. Once the product onboards AI, users would more effectively be able to track endpoints for specific messages."

"The only challenging aspect for new users is often writing the query language."

"The tool's scalability involves a more complex implementation process. It requires careful calculations to determine the number of nodes needed, the specifications of each node, and the configuration of hot, warm, and cold zones for data storage. Additionally, managing log retention policies adds further complexity. The solution's pricing also needs to be cheaper."

"The auto-discovery isn't nearly as good. That's a big portion of it. When you drop the agent onto the JVM and you're trying to figure things out, having to go through and manually do all that is cumbersome."

"Improving code insight related to infrastructure and network, particularly focusing on aspects such as firewalls, switches, routers, and testing would be beneficial."

More Elastic Observability cons

"Nagios Fusion should include a 'remember me' option when logging in, so we don't need to enter a username and password every time."

"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."

"In future iterations of this solution, there is a desire for more seamless integration with other monitoring software."

"Adding application performance monitoring to the product alongside infrastructure monitoring would make it a more complete and useful solution."

Pricing and Cost Advice

"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."

"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."

"We have been using the open-source version."

"One needs to pay for the licenses, and it is an annual subscription model right now."

"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."

"The product is not that cheap."

"The price of Elastic Observability is expensive."

"Elastic Observability's pricing could be better for small-scale users."

More Elastic Observability pricing and cost advice

"The pricing is quite reasonable, especially when compared to the broader market."

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Top Industries

By visitors reading reviews

Financial Services Firm

16%

Computer Software Company

14%

Manufacturing Company

Government

No data available

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	9
Midsize Enterprise	4
Large Enterprise	16

No data available

Questions from the Community

What do you like most about Elastic Observability?

Elastic Observability significantly improves incident response time by providing quick access to logs and data across various sources. For instance, searching for specific keywords in logs spanning...

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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 ...

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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,...

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Comparisons

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Compared 8% of the time

Dynatrace vs Elastic Observability

Compared 8% of the time

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Compared 7% of the time

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Compared 7% of the time

Zabbix vs Elastic Observability

Compared 6% of the time

More Elastic Observability Competitors

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Compared 35% of the time

Icinga vs Nagios Fusion

Compared 35% of the time

Zenoss Cloud vs Nagios Fusion

Compared 30% of the time

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Product Reports

Buyer's Guide

Elastic Observability

January 2026

Download Elastic Observability product report

Buyer's Guide

IT Infrastructure Monitoring

December 2025

Download Nagios Fusion product report

Overview

Elastic Observability offers a comprehensive suite for log analytics, application performance monitoring, and machine learning. It integrates seamlessly with platforms like Teams and Slack, enhancing data visualization and scalability for real-time insights.

Elastic Observability is designed to support production environments with features like logging, data collection, and infrastructure tracking. Centralized logging and powerful search functionalities make incident response and performance tracking efficient. Elastic APM and Kibana facilitate detailed data visualization, promoting rapid troubleshooting and effective system performance analysis. Integrated services and extensive connectivity options enhance its role in business and technical decision-making by providing actionable data insights.

What are the most important features of Elastic Observability?

Centralized Logging: Streamlines the collection, analysis, and storage of log data.
Powerful Search: Provides robust search capabilities for quick access to relevant information.
Scalability: Supports growing data needs across diverse environments.
Real-time Telemetry: Ensures up-to-date insights and monitoring.
Platform Integration: Seamlessly connects with services like Teams and Slack.
Data Visualization: Enhances visibility with Elastic APM and Kibana.

What benefits and ROI should users explore in reviews?

Cost-effectiveness: Offers significant savings through efficient data management.
Rapid Incident Response: Minimizes downtime with quick troubleshooting tools.
Comprehensive Insights: Supports better business decisions with detailed data analysis.
Performance Tracking: Enables assessment of system effectiveness and improvements.

Elastic Observability is employed across industries for critical operations, such as in finance for transaction monitoring, in healthcare for secure data management, and in technology for optimizing application performance. Its data-driven approach aids efficient event tracing, supporting diverse industry requirements.

Elastic

Nagios Enterprises delivers official products, services, and solutions for and around Nagios – the industry standard in enterprise-grade IT infrastructure monitoring. With millions of users worldwide, Nagios is the undisputed champion in the IT monitoring space. Our team of dedicated professionals works to ensure total customer satisfaction with all the services we provide. Our extensive network of partners helps extend Nagios services and solutions to new organizations and markets worldwide to meet a variety of business needs. Nagios Enterprises was founded in 2007 by Ethan Galstad. Ethan created what would later become known as Nagios in 1999, and currently serves as the President of Nagios Enterprises.

Nagios

Sample Customers

PSCU, Entel, VITAS, Mimecast, Barrett Steel, Butterfield Bank

NuBlue, St.Elisabeth Hospital, Akamit Systems, National Radio Astronomy Observatory, ValueClick, Sunrise Banks

Buyer's Guide

Elastic Observability vs. Nagios Fusion

January 2026

Free Report: Elastic Observability vs. Nagios Fusion

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