

Opsview and BigPanda are competing in the IT monitoring and management category, with BigPanda having the upper hand in automation capabilities while Opsview excels in comprehensive infrastructure monitoring.
Features: Opsview offers in-depth monitoring for servers, applications, and databases, providing actionable system performance insights. It focuses on comprehensive infrastructure monitoring, ensuring reliability and uptime. Opsview integrates well with various technology stacks. BigPanda provides robust incident management and automation, featuring advanced event correlation to handle complex IT environments. It offers efficient workflows and automates responses, reducing manual workload. BigPanda's integration capabilities support seamless adoption into diverse IT setups.
Room for Improvement: Opsview could enhance its automation features to better streamline operations. Its incident management capabilities could be more robust. There's also scope for improving the user interface for a more intuitive experience. BigPanda could improve its cost structure to be more accessible to smaller enterprises. Enhancements in detailed monitoring features would broaden its appeal. It's important to ensure cloud dependency doesn't limit flexibility for some users.
Ease of Deployment and Customer Service: Opsview offers flexible deployment options, supporting both on-premises and cloud-based setups, and has a reputation for reliable customer service during setup. BigPanda is designed for cloud-based deployment, providing smooth integration into existing IT environments and offers strong onboarding support to help users adapt quickly.
Pricing and ROI: Opsview is known for a clear pricing structure, perceived as more cost-effective with a strong ROI, particularly for medium to large enterprises. It provides an affordable setup with substantial returns through performance insights. BigPanda might have a higher price point, yet it offers significant ROI via enhanced incident management that reduces downtime and operational costs.
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.
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.
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.
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.
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.
Grafana does have features that I think my current solution lacks, such as better performance reporting.
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.
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.
Opsview's alerting capabilities are very helpful, and they positively impact our incident response times.
| Product | Mindshare (%) |
|---|---|
| BigPanda | 0.6% |
| Opsview | 1.3% |
| Other | 98.1% |

| Company Size | Count |
|---|---|
| Small Business | 6 |
| Large Enterprise | 12 |
| Company Size | Count |
|---|---|
| Small Business | 12 |
| Midsize Enterprise | 5 |
| Large Enterprise | 9 |
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.
Opsview provides advanced monitoring for system availability, service metrics, and resource usage with flexibility and scalability tailored for global networks.
Opsview delivers comprehensive monitoring through its flexible alert framework, web GUI, and integration with Nagios plugins. It facilitates seamless server additions, supports multi-tenancy, and offers scalability with a MySQL backend. Configuring new hosts and services is straightforward, while advanced services like cloning and alert noise reduction enhance user experience. Users mention room for improvement in the API, database support, and features like bulk changes in the GUI. Despite these aspects, Opsview is preferred for cloud and client monitoring across multiple geographical points.
What are Opsview's most important features?Opsview proves valuable in cloud environments for monitoring resource availability and performance. Organizations deploy it for both internal and client-facing monitoring across global regions, benefiting from enhanced event triggers and automation opportunities, particularly in deployment monitoring and service tracking.
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