

Nagios Core and Elastic Observability compete in the IT monitoring category. Elastic Observability seems to have the upper hand due to its advanced centralized logging and integration capabilities.
Features: Nagios Core provides flexibility and customization options, an open-source platform with extensive plugins, and detailed alerting capabilities. Elastic Observability is noted for centralized logging, seamless integration with tools like Kibana, and end-to-end solutions for various data sources.
Room for Improvement: Nagios Core requires complex setups and advanced technical skills for effective use, sophisticated UI and reporting enhancements, and requires effort to improve infrastructure monitoring. Elastic Observability lacks predictive analytics, features a complex initial setup, and requires better visualization and additional monitoring features.
Ease of Deployment and Customer Service: Nagios Core demands robust on-premises setups, relies mainly on community forums for support, and lacks official customer service. Elastic Observability supports hybrid and cloud deployment models, though it similarly depends on community-based assistance due to a lack of direct customer service for its open-source version.
Pricing and ROI: Nagios Core is cost-effective with no licensing fees, appealing to budget-conscious users, and offers high ROI by reducing downtime. Elastic Observability involves complex licensing based on data and infrastructure, may be costly for small businesses, but remains valuable for larger enterprises seeking comprehensive monitoring and insights.
Elastic Observability has saved us time as it's much easier to find relevant pieces across the system in one screen compared to our own software, and it has saved resources too since the same resources can use less time.
Elastic support really struggles in complex situations to resolve issues.
Their excellent documentation typically helps me solve any issues I encounter.
I rate the scalability of Elastic Observability as a ten, as we have never seen issues even with a lot of data coming in from more customers, provided we have the appropriate configuration.
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.
The solution is scalable.
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.
I would rate the stability of Elastic Observability as a ten, as we don't experience any issues.
I tried many other solutions at work, however, in terms of Nagios, I haven't seen any disruption or downtime.
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.
Observability is actually cheaper compared to logs because you're not indexing huge blobs of text and trying to parse those.
Many customers struggle to understand their total cost of ownership because Elastic licensing is not dependent on easy, quantifiable metrics such as number of users or amount of data.
the most valued feature of Elastic is its log analytics capabilities.
Every integration, whether for Windows or Linux or even Palo Alto or Fortinet, installs the out-of-the-box dashboards along with it, making it easy to parse incoming data meaningfully and immediately start viewing dashboards to see what's happening in the platform.
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.
You can monitor anything.
| Product | Mindshare (%) |
|---|---|
| Elastic Observability | 1.2% |
| Nagios Core | 1.4% |
| Other | 97.4% |

| Company Size | Count |
|---|---|
| Small Business | 9 |
| Midsize Enterprise | 4 |
| Large Enterprise | 16 |
| Company Size | Count |
|---|---|
| Small Business | 20 |
| Midsize Enterprise | 11 |
| Large Enterprise | 24 |
Elastic Observability is known for its powerful search capabilities, central logging, and integration with cloud-native tasks. It enhances monitoring for applications and systems through its flexibility and machine learning features.
Elastic Observability is a robust tool offering end-to-end monitoring and performance analysis, widely utilized for application performance monitoring, centralized logging, and metrics collection. Kibana enables data visualization and connection of sources, while the platform aids in incident response with real-time insights. Despite its complex learning curve, limited customization, and licensing challenges, it remains valuable for businesses seeking to improve operational efficiency with additional support from log analytics and system automation.
What are the key features of Elastic Observability?A wide range of industries apply Elastic Observability for its capabilities in capturing significant data points to offer insights into business and technical performance. Its applications span log events, application monitoring, network protocol monitoring, and more, aiding in data-driven decision-making processes within sectors like IT, finance, and e-commerce.
Nagios Core offers a versatile monitoring solution that efficiently manages notifications, reporting, and resource usage. Its open-source architecture provides flexibility and customization options for comprehensive infrastructure health management.
Nagios Core, known for its extensible plugin architecture, proactively enhances infrastructure management with customizable notifications and reliable reporting. Seamlessly integrating various plugins, it offers real-time dashboards and efficient alerting systems for thorough monitoring. Its adaptability and ease of configuration make it popular among users seeking flexible monitoring solutions. However, improvements in the web interface, scalability, performance, and visualization are needed to enhance accessibility. Users seek better alert mechanisms, more robust PDF export features, and simpler setup processes for increased efficiency.
What are the key features of Nagios Core?In many industries, Nagios Core is integral to monitoring infrastructure and services, including cloud servers, applications, and network devices. Users rely on it for issue detection, capacity planning, and maintaining system stability in environments like AWS and on-premise servers. Its capabilities in CPU, memory, and bandwidth monitoring along with alert systems support sectors needing real-time oversight of critical equipment.
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