

BigPanda and vRealize Network Insight are competing solutions in IT operations analytics. BigPanda has an upper hand in pricing and support, while vRealize Network Insight offers more robust features.
Features: BigPanda provides strong incident management and correlation capabilities, helping handle large IT alert volumes effectively. It supports real-time alert enrichment and adaptable workflows. vRealize Network Insight offers extensive network visibility, aiding in effective troubleshooting and planning. It excels in network performance monitoring and security analytics.
Room for Improvement: BigPanda could enhance deeper network insights, integrate more detailed data analytics, and refine its automation tools. vRealize Network Insight may improve its cost structure, simplify user interfaces, and enhance integration capabilities with third-party tools.
Ease of Deployment and Customer Service: BigPanda's cloud-based deployment facilitates flexible scaling and offers smooth setup. Its services are noted for responsive customer support. vRealize Network Insight provides a streamlined deployment process that integrates well with existing systems, although BigPanda is considered more user-friendly regarding support.
Pricing and ROI: BigPanda stands out with cost efficiency, leading to fast ROI, being a budget-friendly choice. vRealize Network Insight requires a more significant initial setup cost but provides an in-depth network environment analysis, potentially offering longer-term ROI for businesses prioritizing network insights.
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.
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's difficult to find necessary documentation, open tickets, and get support.
We are paying too much for technical support from VMware.
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.
We are managing that one but usually we have an API connector between our firewall vendor and our VMware NSX.
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.
Broadcom should improve by going back to what was working before, offering the suite of tools that clients actually use, and allowing clients to decide the best options for them.
The pricing for BigPanda is reasonable compared to other event management tools, given its advantages.
Broadcom is known for increasing product prices, making them expensive compared to what people used to pay.
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.
One of the biggest problems with VMware NSX is logging, and vRealize Network Insight helps by providing comprehensive logs.
| Product | Mindshare (%) |
|---|---|
| BigPanda | 0.6% |
| vRealize Network Insight | 0.8% |
| Other | 98.6% |


| Company Size | Count |
|---|---|
| Small Business | 6 |
| Large Enterprise | 11 |
| Company Size | Count |
|---|---|
| Small Business | 11 |
| Midsize Enterprise | 9 |
| Large Enterprise | 41 |
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.
vRealize Network Insight provides deep visibility into network flows, intuitive visualization, and real-time monitoring. It identifies communication patterns and offers insights into east-west traffic within data centers, simplifying complex network analysis and troubleshooting.
This platform enhances efficiency in firewall management and supports microsegmentation with an intuitive interface. Its integration with VMware products and natural language querying adds value. Users use it for optimizing network flows, planning NSX deployments, and visualizing traffic. It assists in applying security policies, tracking data center flows, and building network architecture by providing advanced insights for policy refinement, ensuring network performance and compliance.
What are the key features of vRealize Network Insight?In specific industries, vRealize Network Insight is implemented to optimize network architecture, manage application dependencies, and enhance security measures. Companies utilize its analytical capabilities to refine policies and ensure robust network performance and security compliance, particularly in complex and hybrid cloud environments.
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