

BMC TrueSight and BigPanda are leading players in the IT operations management category. TrueSight stands out with its strong event management capabilities, while BigPanda holds an edge in automation and reducing incident response times.
Features: TrueSight distinguishes itself with robust event management, seamless integration with various platforms, and an extensive monitoring capability that supports diverse team needs. BigPanda excels in event deduplication and correlation, providing a unified dashboard that streamlines real-time incident management through automated resolutions and integrations with numerous platforms.
Room for Improvement: TrueSight needs better deployment processes, reduced complexity, and improved cost efficiency. Enhancements in high availability, reporting features, and cloud monitoring are necessary. BigPanda users desire more advanced AI integration, improved correlation accuracy, and unified search and communication functions.
Ease of Deployment and Customer Service: TrueSight is complex and resource-intensive with deployment challenges, although its technical support is generally well-regarded. BigPanda, using a cloud-based approach, simplifies deployment but faces usability challenges. It is praised for responsive customer service and flexible pricing models.
Pricing and ROI: TrueSight's high cost may deter smaller enterprises, but it is seen as offering great ROI through operational efficiency. BigPanda is cost-effective and scalable, suitable for growing businesses, enhancing operational efficiency and improving incident management quality.
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.
I would rate their technical support a nine out of ten.
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.
There are some complexities with deployment that could be improved in BMC TrueSight.
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.
BMC TrueSight licensing costs are on the more expensive side.
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.
Automated root cause analysis and predictive capabilities are powerful features that assist in resource utilization and capacity planning.
| Product | Mindshare (%) |
|---|---|
| BigPanda | 0.6% |
| BMC TrueSight | 1.4% |
| Other | 98.0% |


| Company Size | Count |
|---|---|
| Small Business | 6 |
| Large Enterprise | 12 |
| Company Size | Count |
|---|---|
| Small Business | 25 |
| Midsize Enterprise | 6 |
| Large Enterprise | 24 |
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.
BMC TrueSight offers extensive event management and seamless integration, providing comprehensive monitoring across varied infrastructures through its centralized console and Knowledge Modules.
BMC TrueSight delivers robust event management capabilities with seamless integration and comprehensive monitoring of diverse infrastructures. Its single console simplifies management, offering automated triage for standardized alerts, enhancing efficiency. Knowledge Modules support services from hardware to cloud, while proactive monitoring and capacity optimization enhance customization. It efficiently supports mixed environments by providing detailed insights and intelligently routing alerts to reduce noise. While improvements are needed in deployment, integration, AI, automation, reporting, and complexity reduction, it still meets diverse operational needs effectively.
What are BMC TrueSight's key features?
What benefits and ROI should users seek in BMC TrueSight?
BMC TrueSight is widely used in performance and availability monitoring for infrastructure and applications, supporting the monitoring of servers, databases, networks, and IT environments. It is implemented to improve management and reduce downtime, serving needs in data centers and cloud services. Organizations leverage it for event management, comprehensive data center monitoring, and cloud services, using its capabilities for alerting, ticket creation, troubleshooting, and compliance, enhancing operational efficiency globally.
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