Nagios XI and Elastic Observability both compete in network and system monitoring solutions. Elastic Observability has the upper hand, given its powerful search options and machine learning capabilities.
Features: Nagios XI offers extensive monitoring capabilities, relies on a vast array of plugins, and is highly customizable through scripting. It is open-source, benefiting from a large plugin community. Elastic Observability integrates logs and metrics, has advanced machine learning features, and supports robust data analysis and visualization through Kibana.
Room for Improvement: Nagios XI requires manual configuration and lacks cluster and failover options. It has complexity due to separate configurations and lacks web-based APIs. Elastic Observability has limited APM metrics and visualization, and could benefit from better real-time monitoring.
Ease of Deployment and Customer Service: Nagios XI is usually deployed on-premises, requiring manual setup with community-driven support. Elastic Observability supports on-premises, hybrid, and public cloud options, requiring complex setup. Nagios XI provides prompt support, with users often relying on forums.
Pricing and ROI: Nagios Core is free and provides a flexible pricing model with Nagios XI, though support can be costly. Elastic Observability uses a tiered usage-based pricing system, which can be expensive for small entities but cost-effective for larger deployments.
Elastic support really struggles in complex situations to resolve issues.
Elastic Observability seems to have a good scale-out capability.
Elastic Observability is easy in deployment in general for small scale, but when you deploy it at a really large scale, the complexity comes with the customizations.
What is not scalable for us is not on Elastic's side.
If the user interface isn’t presenting data well, it becomes difficult to manage when scaling.
There are some bugs that come with each release, but they are keen always to build major versions and minor versions on time, including the CVE vulnerabilities to fix it.
It is very stable, and I would rate it ten out of ten based on my interaction with it.
Elastic Observability is really stable.
It is very stable.
For instance, if you have many error logs and want to create a rule with a custom query, such as triggering an alert for five errors in the last hour, all you need to do is open the AI bot, type this question, and it generates an Elastic query for you to use in your alert rules.
It lacked some capabilities when handling on-prem devices, like network observability, package flow analysis, and device performance data on the infrastructure side.
Some areas such as AI Ops still require data scientists to understand machine learning and AI, and it doesn't have a quick win with no-brainer use cases.
Many tools have poor user interfaces, making them hard to manage and navigate.
The GUI could be improved. It's a bit too basic.
The license is reasonably priced, however, the VMs where we host the solution are extremely expensive, making the overall cost in the public cloud high.
Elastic Observability is cost-efficient and provides all features in the enterprise license without asset-based licensing.
Observability is actually cheaper compared to logs because you're not indexing huge blobs of text and trying to parse those.
We are using the free, open-source version.
The pricing for the Nagios XI product is good and better than other solutions.
The most valuable feature is the integrated platform that allows customers to start from observability and expand into other areas like security, EDR solutions, etc.
the most valued feature of Elastic is its log analytics capabilities.
All the features that we use, such as monitoring, dashboarding, reporting, the possibility of alerting, and the way we index the data, are important.
Nagios XI simplifies our setup and reduces the time spent configuring monitoring tools.
The alerting system is very effective.
| Product | Market Share (%) |
|---|---|
| Elastic Observability | 2.9% |
| Nagios XI | 3.5% |
| Other | 93.6% |
| Company Size | Count |
|---|---|
| Small Business | 8 |
| Midsize Enterprise | 4 |
| Large Enterprise | 16 |
| Company Size | Count |
|---|---|
| Small Business | 22 |
| Midsize Enterprise | 17 |
| Large Enterprise | 21 |
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?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.
Nagios XI provides monitoring of all mission-critical infrastructure components, including applications, services, operating systems, network protocols, systems metrics, and network infrastructure. Third-party add-ons provide tools for monitoring virtually all in-house and external applications, services, and systems.
Nagios XI uses a powerful Core 4 monitoring engine that provides users with the highest levels of server monitoring performance. This high degree of performance enables nearly limitless scalability and monitoring powers.
With Nagios XI, stakeholders can check up on their infrastructure status using the role-based web interface. Sophisticated dashboards enable access to monitoring information and third-party data. Administrators can easily set up permissions so users can only access the infrastructure they are authorized to view.
Nagios XI Benefits and Features
Some of the benefits and top features of using Nagios XI include:
Reviews from Real Users
Nagios XI stands out among its competitors for a number of reasons. Several major ones are its integration options and monitoring abilities, as well as its alerting features.
David P., a senior DevOps engineer at EML Payments Ltd, writes, “We use Nagios as a network discovery tool. We use Nagios to maintain our uptime statistics and to monitor our services. It has allowed us to be much more sophisticated in our monitoring and alerting.”
An IT-OSS manager at a comms service provider notes, “Nagios XI has a custom API feature, and we can expose custom APIs for our integration. This is a great feature.”
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