

BigPanda and HPE OneView compete in IT operations management. BigPanda leads in event correlation and incident response efficiency, while HPE OneView excels in infrastructure management with a comprehensive feature set.
Features: BigPanda provides strong event correlation, automation capabilities, and an intuitive interface for incident management. HPE OneView offers holistic infrastructure management, robust integration features, and extensive hardware health monitoring.
Room for Improvement: BigPanda could enhance infrastructure visibility, expand integration options, and improve scalability for larger enterprises. HPE OneView may improve its cloud capabilities, streamline the deployment process, and offer more flexible pricing models.
Ease of Deployment and Customer Service: BigPanda supports swift cloud-based deployment with strong customer service. HPE OneView requires traditional deployment integrating physical infrastructure but provides comprehensive guidance resources.
Pricing and ROI: BigPanda has a competitive setup cost with quick ROI through operational efficiency. HPE OneView has a higher initial investment with long-term ROI through enhanced infrastructure oversight and system optimization.
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.
The customer service and support have been responsive.
I would give the quality of HPE OneView's technical support an eight out of ten rating, indicating good customer service and support in my opinion.
The technical support for HPE OneView rates as an 8 on a scale from 1 to 10, where 1 is the worst and 10 is the best.
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.
HPE OneView is highly scalable, especially useful for organizations with large infrastructures.
HPE OneView is a scalable solution since you can integrate any number of servers based on your license.
Scalability is fine as we can add Synergy frames and extend many frames as needed.
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.
The stability of the blades is concerning; we have frequent issues with blades having memory or power issues.
HPE OneView is a stable solution that works efficiently.
It supports unified monitoring effectively but may have areas for enhancement.
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.
The upgrade process is lengthy, requiring careful planning as we cannot match ESXi versions without aligning OneView first, leading to delays.
I believe the prices of HPE OneView should be reduced, as it is quite expensive.
From the dashboard and reporting perspective, HPE OneView could be improved by having multiple modules rather than just a single customization option.
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.
Customers need to pay a substantial amount for the licenses, especially when monitoring a large number of servers and storages.
Our main concern is managing expenses related to the VMware licensing model which affects blade usage.
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.
I can monitor everything in one view, which has significantly improved operational efficiency for us.
The ease of management with HPE OneView is excellent.
One of the best features of HPE OneView is that you get a complete architecture with a single click.
| Product | Mindshare (%) |
|---|---|
| BigPanda | 0.6% |
| HPE OneView | 1.1% |
| Other | 98.3% |


| Company Size | Count |
|---|---|
| Small Business | 6 |
| Large Enterprise | 12 |
| Company Size | Count |
|---|---|
| Small Business | 22 |
| Midsize Enterprise | 15 |
| Large Enterprise | 51 |
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.
HPE OneView offers a centralized platform for managing IT infrastructure with ease, emphasizing automation and reducing errors. Its integrated approach provides users unified control over storage, compute, and network management.
HPE OneView delivers comprehensive infrastructure visibility and effective monitoring through a user-friendly interface. Automation, real-time alerts, and quick server deployment enhance operational efficiency. Seamless integration and profile templates further streamline workflows. Despite its strengths, some users seek improved navigation, faster response times, and extended platform support. Enhanced reporting and support for older hardware models are desirable.
What key features make HPE OneView valuable?Companies leverage HPE OneView across sectors such as finance, telecom, and government, utilizing its capabilities for unified monitoring, management, and configuration. It's implemented on-premises and as a hybrid cloud management interface, supporting environments like Synergy and VMware. By integrating with virtualization platforms, it advances hardware, firmware, and network management efficiency, significantly reducing manual processes.
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