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BigPanda Reviews

Vendor: BigPanda
3.8 out of 5
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What is BigPanda?

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.

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BigPanda is the #10 ranked solution in top IT Alerting and Incident Management solutions, #11 ranked solution in top AIOps solutions, and #28 ranked solution in Infrastructure Monitoring tools. PeerSpot users give BigPanda an average rating of 7.6 out of 10. BigPanda is most commonly compared to Datadog: BigPanda vs Datadog. BigPanda is popular among the large enterprise segment, accounting for 64% of users researching this solution on PeerSpot. The top industry researching this solution are professionals from a financial services firm, accounting for 25% of all views.
Buyer's Guide
BigPanda
April 2026
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BigPanda mindshare

Product category:
IT Infrastructure Monitoring
As of April 2026, the mindshare of BigPanda in the IT Infrastructure Monitoring category stands at 0.6%, down from 0.9% compared to the previous year, according to calculations based on PeerSpot user engagement data.
IT Infrastructure Monitoring Mindshare Distribution
ProductMindshare (%)
BigPanda0.6%
Zabbix5.3%
Datadog3.8%
Other90.3%
IT Infrastructure Monitoring

PeerResearch reports based on BigPanda reviews

TypeTitleDate
CategoryIT Infrastructure MonitoringApr 28, 2026Download
ProductReviews, tips, and advice from real usersApr 28, 2026Download
ComparisonBigPanda vs ZabbixApr 28, 2026Download
ComparisonBigPanda vs DatadogApr 28, 2026Download
ComparisonBigPanda vs Auvik Network Management (ANM)Apr 28, 2026Download
Suggested products
TitleRatingMindshareRecommending
Datadog4.33.8%97%208 interviewsAdd to research
Zabbix4.25.3%95%108 interviewsAdd to research
 
 
Key learnings from peers

Valuable Features

Valuable features of BigPanda include alert deduplication and correlation, integration with various platforms, a user-friendly interface, and automation capabilities. It efficiently handles alerts, reduces noise, and improves incident response times. Users appreciate its AI/ML functionalities for anomaly detection, alert enrichment for real-time management, and out-of-the-box integrations with tools like ServiceNow. Dashboards offer clear visualizations, enhancing data analytics. Its deployment speed and compatibility with existing systems make it highly favored by enterprises.
  • "BigPanda is an endpoint protection solution against ransomware."
  • "BigPanda is great in that it notifies us of problems as well as where they were triggered."
  • "The most valuable features of BigPanda are the API integration was good; it enables us to do faster onboarding."

Room for Improvement

BigPanda requires enhancements in analytics, usability, and integration. Users seek improved dashboard features and better synchronization with tools like Dynatrace. There are concerns about costs, the accuracy of alert generation, and AI integration. Users also desire more detailed error descriptions, enriched observability, and improved reporting capabilities. Enhancements in the UI, correlations, and planned maintenance features are also requested. Deployments need simplification, and there is a call for better alignment with multi-cloud environments.
  • "The solution could improve by having better integration."
  • "We'd like to see additional dashboard features included as part of the solution."
  • "BigPanda can improve the correlations. We didn't see any big value."

ROI

Users experienced mixed outcomes with BigPanda. Some observed no return, while others found it beneficial when handling over 10,000 events weekly. BigPanda enhanced efficiency by organizing various functions in one platform. Its advanced features saved time, reduced costs, and streamlined resource management, proving advantageous in large-scale environments. Compared to previous tools like Netcool, BigPanda required fewer resources, showcasing its effectiveness in optimizing operations.

Pricing

Enterprise buyers report positive experiences with BigPanda's pricing and licensing, noting flexibility and reasonable costs. Users appreciate the mid-range pricing compared to competitors and acknowledge BigPanda as a cost-effective solution for event management. Typical costs include an annual payment of $200,000 USD, with discounts available under certain purchasing scenarios. BigPanda's pricing structure is designed to accommodate high-growth companies through flexible site licenses, making it a competitive choice for organizations seeking efficient implementation and support.
  • "BigPanda is cheaper than the competitors."
  • "The price of BigPanda is in the middle compared to other solutions."
  • "We pay $200,000 USD per year."

Popular Use Cases

BigPanda is primarily used for event management and alert correlation, integrating with tools like Nagios, Sensu, and Splunk. It aggregates alerts, automates incident creation, and facilitates root cause analysis and Runbook Automation. Users utilize BigPanda for monitoring infrastructure health, connecting with Slack for alerts, and leveraging it as a central management console. It also supports ticket management, SLA metrics calculation, and integrates with platforms like GCP, PagerDuty, and ServiceNow for incident resolution.

Service and Support

BigPanda's customer support is generally responsive and helpful, with some users appreciating their flexibility and proactivity. While they offer prompt solutions, experiences vary, with some dissatisfied by delayed responses or lack of contact options. Several users have never needed support, while others rate it between seven and ten out of ten. Custom integrations and timely issue resolution are highlighted positively, though users note areas for improvement in communication and response times.

Deployment

BigPanda's initial setup is often described as straightforward by users working with their team to customize integrations for tools like Nagios and Sensu. Some experienced complexity, needing additional engineering support or facing challenges like false incidents. The ease of setup can also depend on project requirements, security approvals, and application size. Creating integrations is generally easy, while vendor-managed upgrades help simplify the process. Overall deployment time varies, taking weeks for some and minutes for others.

Scalability

BigPanda is recognized for handling substantial alert volumes and diverse environments. Users appreciate its seamless integration with various platforms and the system's adaptability. Some experience brief alert delays during peak times, but others note that scalability meets their demands. The scalability allows users to deploy across thousands of servers while managing significant IT collaborations. Although some challenges exist, BigPanda remains a preferred choice among prominent enterprises like UBS and Tesco.

Stability

BigPanda exhibits strong stability, with minor interruptions effectively managed by teams. Users generally report consistent reliability, though some struggled with trusting alerts initially. Improvements to alert accuracy have increased its dependability. High availability is noted, but critical traffic may slow down the site, mitigated by load balancers. While early issues existed, modifications have enhanced performance. Some users rate stability at eight out of ten, appreciating improvements and efficient incident handling without downtime.
These insights are based on the in-depth reviews provided by peers to help you make a better buying decision.
Download our BigPanda Buyer's Guide for additional reliable information.

Review data by company size

By reviewers
Company SizeCount
Small Business4
Large Enterprise10
By reviewers
By visitors reading reviews
Company SizeCount
Small Business120
Midsize Enterprise46
Large Enterprise296
By visitors reading reviews

Top industries

By visitors reading reviews
Financial Services Firm
25%
Manufacturing Company
8%
Healthcare Company
6%
Retailer
5%
Outsourcing Company
5%
Computer Software Company
5%
Performing Arts
5%
Construction Company
4%
Transportation Company
4%
Insurance Company
4%
Educational Organization
4%
Comms Service Provider
3%
University
3%
Recreational Facilities/Services Company
2%
Media Company
2%
Real Estate/Law Firm
2%
Energy/Utilities Company
2%
Logistics Company
2%
Marketing Services Firm
1%
Wholesaler/Distributor
1%
Consumer Goods Company
1%
Government
1%
Non Profit
1%
Pharma/Biotech Company
1%
Legal Firm
1%

Compare BigPanda with alternative products

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Learn more about BigPanda

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?
  • Root Cause Analysis: Efficient identification of the sources of incidents.
  • Alert Deduplication: Reduces alert noise by consolidating duplicates.
  • Event Correlation: Connects related alerts for easier incident management.
  • Automation: Streamlines processes for faster response times.
  • Seamless Integration: Connects with tools like ServiceNow and Teams.
What benefits or ROI can users find in reviews?
  • Increased Efficiency: Automates incident management tasks.
  • Operational Insights: Provides valuable analytics for strategic decisions.
  • Improved Collaboration: Integrates notifications with Slack and other platforms.
  • Reduced Alert Fatigue: Deduplication and suppression improve focus on critical issues.

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.

BigPanda customers

Nagios, ServiceNow, ITSM, NOC, CMDB Evolved, RemedyIncident Management Process

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Product Categories

Product Categories
IT Infrastructure Monitoring
IT Alerting and Incident Management
AIOps

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BigPanda Reviews Summary
Author infoRatingReview Summary
CEO / Co-Founder at Aiops ltd4.5I've found BigPanda to be a fast, scalable, and reliable AIOps solution that integrates easily with existing tools, offering strong value for money, though its support could improve and agentic AI features are still evolving.
Engineer - Cloud and Infrastructure Services at a tech vendor with 10,001+ employees4.5I integrated BigPanda with GCP, PagerDuty, Datadog, and Splunk to manage alerts and notifications. The alert enrichment and unified analytics are valuable features. However, AI integration needs improvement for better alert understanding. Previously, I used Datadog for incident management.
System Operation Associate at a financial services firm with 10,001+ employees4.5In my role, I handle incidents with BigPanda, which alerts me for quick resolution or escalation. I value its incident resolution capabilities, though more detailed error insights would be beneficial. I've used Splunk and integrate BigPanda with other solutions.
Manager Observability at ICE3.5I use BigPanda for event management in operations teams to monitor system alerts. Its valuable features include event deduplication, correlations, and enrichment. However, the planned maintenance feature needs improvement, and some bugs require resolution. Integration with tools like ServiceNow is beneficial.
Works4.0I work as a troubleshooting member using BigPanda for alert analysis. It consolidates monitoring platforms into one console, enhancing automation and incident response times. However, false incidents can occur, needing improved alert accuracy and detailed insights for performance metrics.
Software Engineer at Trianz4.5I use BigPanda for event correlation, integrating with tools like Dynatrace and ServiceNow. It improves incident management with AI but needs better enrichment mappings and increased historical data access. It's more efficient than Netcool for large environments on AWS.
Technical Lead3.5I use BigPanda for ticket management and incident analysis. Its AI efficiently handles incidents, minimizing human intervention and improving service reliability. While I wish for enhanced report extraction features, it saves time and resources, streamlining operations.
Program Manager at a tech vendor with 10,001+ employees2.5I recently started using BigPanda for event and alert management. While its user-friendly interface is valuable, improvements like syncing with Dynatrace, enhancing automation to filter alerts, and better server status updates are needed for smoother incident management.