1. Data Visualization: Bigpanda primarily focuses on providing a centralized platform for alert correlation and incident management. It offers visualizations and dashboards to help IT teams understand and address incidents effectively. In contrast, Grafana is more focused on data visualization and allows users to create custom dashboards and visualizations using various data sources. It is widely used for monitoring and analyzing metrics, time series data, and logs.

2. Integration Capabilities: Bigpanda offers extensive integrations with various monitoring and alerting tools, such as Splunk, New Relic, and Nagios. It collects and correlates alerts from different sources to provide a unified view. On the other hand, Grafana supports integration with databases, cloud platforms, and numerous data sources, making it a versatile tool for data analysis and visualization.

3. Alert Management: Bigpanda emphasizes incident management and provides features like automated alert grouping, deduplication, and enrichment. It enables IT teams to prioritize and respond to critical incidents efficiently. Grafana, on the other hand, focuses more on monitoring and visualizing data rather than incident management. While it supports alerting, it may require additional plugins or configurations to achieve the same level of incident management as Bigpanda.

4. Scalability and Performance: Bigpanda is designed to handle large-scale IT environments and allows organizations to handle millions of alerts without performance degradation. It has built-in scalability features to handle the growing volume of alerts and incidents. Grafana, being more focused on data visualization, may not have the same level of scalability and performance optimizations as Bigpanda in managing a large number of alerts.

5. Collaboration and Communication: Bigpanda offers collaboration and communication features like incident timelines, comments, and playbooks, which help teams coordinate and resolve incidents efficiently. It provides a centralized platform for collaboration and knowledge sharing. Grafana, however, lacks native incident collaboration features and is primarily focused on data visualization and analysis.

6. Pricing Model: Bigpanda follows a subscription-based pricing model, where the cost is determined based on the number of monitored devices or agents. Grafana, on the other hand, is an open-source tool with various pricing options, including a free version. While Grafana itself is free, additional costs may be incurred for data sources, plugins, or enterprise support.

In Summary, Bigpanda focuses on incident management and correlation with a centralized platform, while Grafana is more versatile in data visualization and customizable dashboards. Bigpanda has stronger incident collaboration features, superior scalability, and a specific pricing model, whereas Grafana offers more integrations, customization options, and a flexible pricing structure.