

BigPanda and Centreon are competing in the IT operations management space. BigPanda has the upper hand in real-time data integration and automated incident response, while Centreon excels in comprehensive monitoring capabilities and customization options.
Features: BigPanda offers powerful data aggregation, intelligent alert management, and automated incident response for efficient issue resolution. Centreon provides extensive monitoring solutions, customizable alerting, and detailed reporting features, emphasizing its value in environments requiring thorough oversight.
Room for Improvement: BigPanda could enhance its cost-effectiveness, offer greater customization options, and improve its detailed reporting capabilities. Centreon may benefit from simplifying its deployment process, enhancing real-time data integration, and further automating its incident response to match BigPanda’s rapid capabilities.
Ease of Deployment and Customer Service: BigPanda features a quicker cloud-based deployment with robust integration and effective customer service. Centreon’s deployment is more complex due to its on-premise nature, yet it provides excellent customer support and comprehensive documentation.
Pricing and ROI: BigPanda requires a higher upfront investment focusing on high ROI through rapid problem resolution. Centreon offers a cost-effective solution with balanced ROI from its detailed monitoring, appealing to cost-conscious businesses seeking initial value.
BigPanda offers significant time-saving, cost-saving, and resource-saving benefits.
BigPanda saves time with its advanced features and manages large environments while requiring fewer resources compared to our previous tool, Netcool.
Resource count has probably reduced by about ten to twenty percent due to the reduced incident count, which enables me to identify issues faster, meaning business recovery is quicker.
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.
If BigPanda can consistently provide such competent contacts, I would rate the support ten out of ten, otherwise, it is an eight out of ten.
Companies like CoreLogix, which is a log platform, achieve ten out of ten due to their responsiveness.
For technical support, we have only had to address password resets and alert mismatching.
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.
It handles large volumes of alerts without limitations.
We manage a large environment with over 50,000 servers and various monitoring tools like Dynatrace, New Relic, Splunk, Nagios, and Datadog.
I rate the scalability of BigPanda at eight.
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.
BigPanda is now stable.
I would rate the availability of BigPanda at nine because it's almost 99.99% available.
However, when handling critical traffic, the BigPanda site can slow down, which we manage with a load balancer.
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.
A 'deep dive' analysis feature would be appreciated to give detailed insights such as CPU usage and disk space analysis.
It would be beneficial if BigPanda leveraged AI to solve critical issues related to editing and sending alerts based on enrichment mapping files.
If BigPanda could integrate AI, it would enhance the platform significantly by offering chatbot functionality within the BigPanda UI.
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.
The pricing for BigPanda is reasonable compared to other event management tools, given its advantages.
There are indirect costs related to managing open-source products, leading to resource investment in maintaining the dashboards for these capabilities.
Centreon's pricing is not very expensive.
Its automation has significantly improved incident response times, reducing the process to within one minute.
It can correlate multiple issues within a single device, create a single incident, and thus reduce noise and provide faster resolution.
BigPanda improves service reliability with instant resolution, increased uptime, and reduced mean time to resolution, thus enhancing service quality.
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.
| Product | Mindshare (%) |
|---|---|
| BigPanda | 0.6% |
| Centreon | 1.8% |
| Other | 97.6% |


| Company Size | Count |
|---|---|
| Small Business | 6 |
| Large Enterprise | 12 |
| Company Size | Count |
|---|---|
| Small Business | 11 |
| Midsize Enterprise | 5 |
| Large Enterprise | 14 |
BigPanda enhances incident management through root cause analysis, alert deduplication, and event correlation. The AI-driven platform is designed for environments with high alert volumes, providing insights for data-driven decisions and seamless integration with tools like ServiceNow and Teams.
BigPanda addresses the complexities of incident management by offering an AI-focused approach to anomaly detection. Automation improves response times, while unified analytics supports informed decision-making. Despite AI integration and usability needing enhancement, the platform simplifies observability and ticketing through integrations with New Relic and Slack. Features like enrichment mapping and unified search improve functionality, though reporting and visualization aspects require development.
What are the key features of BigPanda?BigPanda is widely implemented in industries focusing on observability and predictive analysis, providing efficient alert processing and incident management. Users utilize its capabilities to seamlessly integrate with solutions like Dynatrace, particularly in environments that handle high volumes of alerts, ensuring effective notification delivery through various platforms.
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.
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