

BigPanda and Cisco Intersight compete in the IT operations management category. BigPanda stands out for its event correlation and automation, while Cisco Intersight is recognized for infrastructure management.
Features: BigPanda leverages AI for event correlation, reducing noise and speeding up incident resolution. It simplifies workflows with automation and integrates seamlessly with existing tools. Cisco Intersight offers comprehensive infrastructure management, utilizing advanced integrations and analytics tools. It provides end-to-end oversight capable of managing complex environments.
Room for Improvement: BigPanda could enhance its infrastructure management capabilities and scale to support more extensive environments. Additional customization options would benefit users seeking tailored solutions. Cisco Intersight might simplify its comprehensive setup process and improve the intuitiveness of its platform. Providing more focused incident management features could enhance its appeal to organizations needing quicker responses.
Ease of Deployment and Customer Service: BigPanda features a straightforward cloud-based deployment, supported by a customer-friendly interface and efficient onboarding process. Cisco Intersight, though cloud-enabled, requires a more detailed configuration to optimize its robust infrastructure management capabilities. While both offer cloud deployment, BigPanda facilitates quicker implementation, and Intersight supports complex infrastructure configurations.
Pricing and ROI: BigPanda typically has a lower cost, focusing on delivering ROI through reduced incident response times and efficient event correlation. Cisco Intersight’s pricing reflects its extensive feature set, promising long-term returns from infrastructure management efficiencies. BigPanda is generally seen as more budget-friendly upfront, whereas Intersight provides value through comprehensive management benefits.
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.
It simplifies the onboarding of new hardware, reducing time spent on manual installations and configurations.
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.
For complex issues, it's challenging to get the right engineer quickly unless you have a specific contract like CX.
Cisco provides better support than anyone else.
Cisco technical support is helpful.
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.
I rate its scalability a ten out of ten due to its capability to manage multiple domains and automate service requests.
Cisco Intersight is scalable enough for our needs, allowing management in a multi-environment setup and working remotely while deploying servers.
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.
Some steps are not included in the official documentation, which can create challenges.
It is always accessible online, secure, and allows access from any location, following strict authentication standards.
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.
There is a significant issue regarding migration from UCS Manager into Intersight without formatting the Fabric Interconnects (FI), which is problematic in a production environment.
It would be great to have a chat session mode AI so that when I am on standby and encountering issues, I could engage with it, much like ChatGPT.
When registering our devices and servers using tokens, auto-detection could make it easier by automatically identifying resources and adding them to the platform.
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.
The pricing is fair and reasonable, particularly for enterprises.
Cisco Intersight's license cost is very high compared to AWS and Azure solutions, which have lower initiation costs.
The pricing mechanism sounds fair.
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.
This solution has provided time savings and required fewer people to operate this tool, rather than direct cost savings.
It provides visibility into other products and storage, and is beneficial for environments where Cisco and other vendors coexist, allowing full visibility of the entire infrastructure.
It also provides predictive analysis, predicting data leaks and making it easy to scale up servers remotely without requiring physical interference.
| Product | Mindshare (%) |
|---|---|
| Cisco Intersight | 1.3% |
| BigPanda | 0.6% |
| Other | 98.1% |

| Company Size | Count |
|---|---|
| Small Business | 6 |
| Large Enterprise | 12 |
| Company Size | Count |
|---|---|
| Small Business | 5 |
| Midsize Enterprise | 4 |
| Large Enterprise | 8 |
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.
Cisco Intersight delivers advanced data center management with cloud integration, remote server scaling, and predictive analytics, promoting efficient infrastructure management. It supports hybrid environments and is suitable for scaling across enterprises.
Cisco Intersight offers a comprehensive view of data centers with seamless cloud platform integration, enhancing manageability across environments. It is known for workflow automation, inventory management, and predictive analysis, allowing users to optimize workloads. Users leverage its scalability and ease of use, with features that aid in remote management and integration with both Cisco and non-Cisco products. However, improvements are needed in usability, automation, and third-party tool integration, especially for on-premises and hybrid cloud management. Users often face challenges with firmware management and transitioning from UCS Manager. Desired enhancements include better software compatibility, third-party integrations, expanded microservices support, enhanced AI features, and more automation capabilities, addressing setup complexity, support, and high maintenance costs.
What are the main features of Cisco Intersight?In industries where data center management and integration are critical, such as finance, healthcare, and telecommunications, Cisco Intersight is used to monitor and manage infrastructure across multiple sites. Its capability to combine platforms like HyperFlex and VMware allows organizations to maintain hardware status effectively, supporting both on-premises and cloud environments for efficient service delivery.
We monitor all IT Infrastructure Monitoring reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.