

Centreon and Elastic Observability compete in the IT monitoring and observability category. Centreon seems to have an edge in extensive infrastructure monitoring and cost-effective scalability, while Elastic Observability stands out in data collection and real-time tracking.
Features:Centreon features extensive scalability for unlimited device monitoring, active monitoring, and customizable reports. It offers event logs, downtime management, and notable tools like Centreon BI reports and Centreon Map. Elastic Observability is known for strong data collection, powerful search with Kibana, and customizable visualizations. It integrates well with other solutions and emphasizes real-time tracking and network performance.
Room for Improvement:Centreon could enhance its UI responsiveness, improve its API functionality, and expand service monitoring for cloud and databases. It also needs easier device integration and better network discovery. Elastic Observability needs to improve its visualization features, expand process monitoring, and enhance APM capabilities. Additionally, it faces challenges with the initial setup complexity and needs more customization options.
Ease of Deployment and Customer Service:Centreon supports versatile deployment for on-premises environments with strong vendor support, though not 24/7. Users often rely on Centreon support, with varying quality based on issue complexity and region. Elastic Observability supports on-premises and hybrid cloud infrastructures, backed by comprehensive documentation and community support. However, it presents a steeper learning curve for new users. Elastic's technical support is generally reliable but may vary regionally.
Pricing and ROI:Centreon offers an open-source platform with optional paid modules, suited to smaller businesses but potentially pricey for larger enterprises needing advanced features. Elastic Observability's pricing is competitive for large-scale users but can be high for smaller firms. Both promise solid ROI, with Centreon facilitating fast resolutions and extensive monitoring, while Elastic offers affordability and wide feature integration, leading to cost savings through reduced downtime and efficient resource allocation.
Centreon provides timesaving and costsaving benefits as it lets us manage multiple devices on a single platform.
It significantly saves time by automating monitoring tasks and reduces costs as it requires fewer resources.
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.
We do not have direct access to Centreon's technical support.
If issues arise, like services appearing as down in Centreon, technical support helps check the polar-server communication.
Technical support from Centreon responds within 24 hours and resolves issues quickly.
Elastic support really struggles in complex situations to resolve issues.
Their excellent documentation typically helps me solve any issues I encounter.
Occasionally, for several hours, we do not receive any alerts, causing a business impact.
We use other tools for adding and deploying configured devices, but direct access from Centreon would be beneficial.
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 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.
Sometimes we do not receive alerts, causing business impact, and users ask why no alerts were received.
Centreon is a much more straightforward and stable tool compared to Icinga.
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.
I would rate the stability of Elastic Observability as a ten, as we don't experience any issues.
Enhancements are needed in identifying configuration issues, providing real-time alerts in case of issues, and improving the HTTP configuration tasks.
Reliability is sometimes an issue. Centreon has a developer mode and production mode, but sometimes alerts don't come through in production mode.
While Centreon excels at server-level monitoring, it lacks the ability to track web app availability and latency, unlike Dynatrace, which is efficient in this area.
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.
Centreon's pricing is not very expensive.
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.
Monitoring is a fundamental pillar of technical support, and Centreon streamlines this process, reducing the need for extensive manual checks.
Centreon's real-time monitoring, despite having some manual aspects, supports us in managing our operations effectively.
Centreon allows us to monitor all of our devices on one platform.
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.
| Product | Mindshare (%) |
|---|---|
| Elastic Observability | 1.4% |
| Centreon | 1.8% |
| Other | 96.8% |


| Company Size | Count |
|---|---|
| Small Business | 11 |
| Midsize Enterprise | 5 |
| Large Enterprise | 14 |
| Company Size | Count |
|---|---|
| Small Business | 9 |
| Midsize Enterprise | 4 |
| Large Enterprise | 16 |
Centreon offers a robust IT infrastructure monitoring platform, featuring user-friendly dashboards and real-time monitoring. It excels in scalability and integration, making it suitable for monitoring diverse network environments.
Centreon stands out with its unified monitoring capabilities, providing businesses with user-friendly dashboards and extensive plugins for customization. Its scalability ensures companies can expand monitoring tasks without incurring additional costs. Integration capabilities allow seamless interaction with ticketing systems and automation tools. Centreon offers customizable reporting and effectively manages downtimes, providing real-time feedback and proactive maintenance through Business Activity and Anomaly Detection features. Despite its strengths, users find areas for improvement including downtime scheduling, API functionalities, UI enhancements, end-to-end monitoring, and documentation. Businesses are increasingly demanding better automation, network discovery, cloud monitoring, and notification options.
What are Centreon's standout features?Centreon is implemented across industries to monitor IT infrastructures, including networks, servers, and applications. Companies leverage it to track server performance, manage network devices, and receive timely alerts on device status. Its ability to integrate with ticketing systems and automation tools streamlines operations, enhancing global IT infrastructure monitoring and customer service management with real-time feedback and issue resolution.
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.
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