Sold by: BigPanda
Deployed on AWS
BigPanda Incident Intelligence and Automation, powered by AIOps, supports companies of all sizes to prevent service outages, improve incident management, and deliver extraordinary customer experiences.
4.5
Overview
ITOps, NOC, DevOps and SRE teams struggle with manual and reactive incident response capabilities that are badly suited for the scale, complexity and velocity of modern IT environments, resulting in painful outages. BigPanda helps by transforming IT data into actionable intelligence and automation, enabling incident response teams to increase uptime, efficiency, and velocity.
For a custom quote or private offer, please contact your local BigPanda representative.
Highlights
- Collect, filter and enrich your siloed observability data, eliminating noise
- Use AI to correlate observability, topology and change data, accelerating triage
- Automate incident investigation, escalation and remediation processes, reducing MTTR
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Dimension | Description | Cost/12 months |
|---|---|---|
P20 | 20,000 Credits with 1000:1 Events to Credit Ratio | $231,840.00 |
P30 | 30,000 Credits with 1000:1 Events to Credit Ratio | $347,760.00 |
P40 | 40,000 Credits with 1000:1 Events to Credit Ratio | $463,680.00 |
P50 | 50,000 Credits with 1000:1 Events to Credit Ratio | $579,600.00 |
P60 | 60,000 Credits with 1000:1 Events to Credit Ratio | $695,520.00 |
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Customer reviews
Michael Wenn
Automated incident workflows have reduced alert noise and now improve response efficiency
Reviewed on Aug 18, 2025
Review from a verified AWS customer
What is our primary use case?
BigPanda's main use case is AI Ops, focusing on observability with AI detection and prevention as a filtering mechanism for alerts and related work. AIOps is the headline for the solution. The tool performs complex work that may seem simple on the surface but is actually quite sophisticated. BigPanda works entirely on the incident side, automating the aspects of IT operations and service management.
What is most valuable?
In my opinion, the best feature of BigPanda is its speed in terms of deployment. It has very strong integration with all of the major platforms and workflows that organizations need. The biggest customers are enterprises like HSBC and Barclays. Implementing something effective for them that dramatically reduces meantime to repair and the number of incidents is substantially difficult, as projects can often extend three years with very small results. BigPanda is different; it is a tool relied on by many enterprises, fitting over existing toolsets rather than trying to replace them, which makes it non-competitive to many existing alerts and monitoring tools. It enhances existing systems to provide actionable intelligence for business solutions.
What needs improvement?
There is room for improvement in BigPanda, and I believe they are fixing this. Agentic operations exist in these types of tools, and companies are catching up. Logic Monitor has a slightly different and better version of agentic AI. BigPanda has that on their roadmap, and I saw their kickoff where they explained what they are doing to enhance it. I believe that by the end of this year, improvements will be in place.
For how long have I used the solution?
I have been working with BigPanda and selling clients on it for approximately seven years in total.
What do I think about the stability of the solution?
BigPanda is a stable solution. There is almost no downtime and availability issues with the platform.
What do I think about the scalability of the solution?
BigPanda is a very scalable solution. It deals with some of the biggest customers in the world, and I have clients like UBS, Tesco, and Wells Fargo, which are huge companies with five to six million pound contracts.
How are customer service and support?
I would rate technical support from BigPanda at a seven out of ten. They are a smaller company, and I am quite particular about support. I would say seven or eight out of ten is fair. Companies like CoreLogix, which is a log platform, achieve ten out of ten due to their responsiveness, whereas BigPanda's response time is more standard, typically taking about twenty-four hours.
How would you rate customer service and support?
Positive
How was the initial setup?
The initial setup of BigPanda is a very straightforward process.
What other advice do I have?
Regarding the pricing of BigPanda, I feel that their pricing is below market price. It could be significantly more expensive given the impact on OpEx savings and customer satisfaction scores. They sell it at a remarkable value, and in my opinion, it is underpriced. They have been fair and flexible with their pricing to ensure it still shows value for money.
The most common deployment model among my clients for BigPanda is typically cloud-based technology. This SaaS-based solution integrates with their cloud, allowing events and alert trees to push through their platform, providing a dashboard with intelligence. It features bidirectional integration, for example, pushing information into ServiceNow and updating tickets back into BigPanda, making it a straightforward SaaS deployment that is much easier than many other companies.
BigPanda operates on AWS, though I am not entirely certain as it is their company platform and may change.
I give this review an overall rating of nine out of ten.
Which deployment model are you using for this solution?
Public Cloud
If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?
Amazon Web Services (AWS)
Maria Geovith Kamlay
Efficient incident management through quick resolutions and seamless communication
Reviewed on Apr 29, 2025
Review provided by PeerSpot
What is our primary use case?
In my role, I receive incidents from ServiceNow , which then alert me through BigPanda . Once I am alerted, I receive notifications in Outlook to check the incident and its description, such as job failures or errors. I then add work notes in BigPanda and, if necessary, escalate the BigPanda incident to the L2 DB team or the shows team for further action. My main goal is to resolve issues quickly, typically within five to ten minutes, or escalate them to the appropriate level two or three team.
What is most valuable?
The feature I find most valuable in BigPanda is the capability to independently resolve incidents. After getting errors from Autosys, I document them in work notes. Receiving confirmation from the L2 team enables me to resolve incidents efficiently. This tool is particularly helpful during high volumes of incidents, such as during maintenance or release periods. Even during suppressions when other tools are unavailable, BigPanda provides alerts, enabling me to track incidents effectively, follow up, and resolve them promptly.
What needs improvement?
It would be beneficial for BigPanda to offer detailed error descriptions similar to what AppDynamics and ThousandEyes provide. Currently, I can only add notes and notify the L2 team, but having more precise error data in BigPanda would enable me to resolve issues more quickly and efficiently.
For how long have I used the solution?
I have been using BigPanda for around two years and three months.
What do I think about the stability of the solution?
I have not encountered issues like lagging or crashing with BigPanda. Despite handling high volumes of incidents, it remains efficient, facilitating easy task management and resolution.
How are customer service and support?
I have not contacted BigPanda's technical support before. I haven't experienced issues recently, as alert handling is primarily due to suppressions.
How would you rate customer service and support?
Positive
Which solution did I use previously and why did I switch?
I have used Splunk for managing alerts related to specific applications, and I am aware that Datadog offers similar functionalities. I also use other solutions like ThousandEyes for URL issues, which integrate with BigPanda to provide alerts.
How was the initial setup?
The initial setup was a bit challenging as I had to figure out how to create incidents, check alerts, update notes, and manage incident escalations across groups. However, with regular usage, I became familiar with it, especially during periods of high incident volume when BigPanda's functionality proved invaluable.
Which other solutions did I evaluate?
What other advice do I have?
I rate BigPanda nine out of ten. It is my second-favorite tool after Vista .
Atharva Jagdale
Alert enrichment and unified analytics optimize notification management and data analysis
Reviewed on Apr 24, 2025
Review provided by PeerSpot
What is our primary use case?
My actual work with BigPanda involved integrating it with Google Cloud Platform (GCP), PagerDuty, Datadog , and Splunk. My company uses GCP for data storage and system management. We manage alerts from these systems using BigPanda . The tool was configured to execute a sequence of actions when alerts are triggered, involving manual intervention to assign alerts to users and calculate SLA metrics such as Mean Time to Detect, Mean Time to Engage, Mean Time to Action, Mean Time to Escalate, and Mean Time to Resolve. Besides alert management, we used BigPanda for notification management related to maintenance deployments.
What is most valuable?
The alert enrichment feature is the most valuable feature I recommend for any organization using BigPanda. Additionally, unified analytics is another significant feature, especially for those interested in data analytics and statistics. Unified analytics in BigPanda allows users to create various dashboards using existing data. Despite some deprecated built-in dashboards from BigPanda over a year ago, my team successfully implemented our own dashboards utilizing unified analytics. Although there were integration issues, BigPanda extended support to meet our project deadlines.
What needs improvement?
The key feature that requires improvement is AI integration. If BigPanda could integrate AI, it would enhance the platform significantly by offering chatbot functionality within the BigPanda UI. This would help end users understand alert enrichment, configurations, alert noise, alert behavior, and alert statistics.
For how long have I used the solution?
I have been working with BigPanda for six months until it was deprecated from my production system. However, I have worked with BigPanda for a total of two years before it was removed.
What do I think about the stability of the solution?
The solutions were quite useful but not completely stable. I would rate the stability of the solution as eight out of ten. If they have improved their technical capabilities recently, they might have achieved higher stability.
What do I think about the scalability of the solution?
I rate the scalability of BigPanda as eight point five. There are pluses and minuses at some points, and the configuration and integration efforts contribute to this rating.
How are customer service and support?
The point of contact at BigPanda, a Technical Account Manager, was helpful, but was not deeply involved in technical resolutions. Unfortunately, they are no longer with BigPanda. 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.
How would you rate customer service and support?
Positive
Which solution did I use previously and why did I switch?
Before using BigPanda, I did not use any other solutions for these use cases. Currently, I am using Datadog , which also has incident handling features similar to BigPanda.
What about the implementation team?
The initial configuration and setup were already done when I joined the organization, so I don't have firsthand experience with the implementation team.
What other advice do I have?
Overall, I rate BigPanda as a nine out of ten. This rating assumes that everything is up to date and working well; otherwise, it would be between eight to nine point five. I would suggest ensuring that the solution is regularly updated and monitored for effective performance.
CHANTI BANOTH
Automation and AI enhance incident management and resolution efficiency
Reviewed on Apr 18, 2025
Review from a verified AWS customer
What is our primary use case?
We use BigPanda as an event correlation tool. We use Dynatrace and various infrastructure monitoring tools, like Dynatrace , New Relic , and Splunk. BigPanda manages or aggregates all the events from these monitoring tools, providing event management and event correlation for mappings. We use BigPanda in conjunction with ServiceNow as an ITSM tool.
What is most valuable?
BigPanda collects the root cause of events, providing all past data and information in one place. This makes it easier to solve issues based on past incidents. BigPanda's automation uses enrichment mapping files, reducing wait times for incident response. The platform's AI analyzes alert sources and root causes, enhancing real-time incident management and enabling automated resolution.
What needs improvement?
We use enrichment mapping files, but editing these files can lead to errors if mistakes are made. It would be beneficial if BigPanda leveraged AI to solve critical issues related to editing and sending alerts based on enrichment mapping files. Also, the unified search functionality shows only seven days of past data, which could be enhanced to include 30 or 360 days.
For how long have I used the solution?
I have used it for three years.
What do I think about the stability of the solution?
I haven't experienced any major stability or performance issues with BigPanda. However, when handling critical traffic, the BigPanda site can slow down, which we manage with a load balancer.
What do I think about the scalability of the solution?
We manage a large environment with over 50,000 servers and various monitoring tools like Dynatrace, New Relic , Splunk, Nagios, and Datadog . BigPanda helps manage these effectively, though it can be tough.
How are customer service and support?
Earlier we faced a CrowdStrike issue, during which we collaborated with BigPanda technical support. Their collaboration was good, and I would rate them nine out of ten.
How would you rate customer service and support?
Positive
Which solution did I use previously and why did I switch?
I used Netcool by IBM previously. We migrated to BigPanda because of its advanced features like root cause analysis and AI, which Netcool lacked. Netcool is not suitable for large environments.
How was the initial setup?
In my current organization, I have limited access to BigPanda with admin rights but not at the architectural level. I don't have any integration experience with BigPanda.
What was our ROI?
BigPanda saves time with its advanced features and manages large environments while requiring fewer resources compared to our previous tool, Netcool.
What's my experience with pricing, setup cost, and licensing?
The pricing for BigPanda is reasonable compared to other event management tools, given its advantages.
Which other solutions did I evaluate?
Currently, I have only knowledge of BigPanda and various monitoring tools.
What other advice do I have?
I would definitely recommend BigPanda for its time-saving features, root cause analysis, topology overview, and visual event representation capabilities. I rate BigPanda a nine out of ten.
Which deployment model are you using for this solution?
Hybrid Cloud
If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?
reviewer2691138
Efficient incident management improves service reliability but reporting features need attention
Reviewed on Apr 10, 2025
Review provided by PeerSpot
What is our primary use case?
We usually use BigPanda as a ticketing tool for ticket management, incident and service request management, and root cause analysis.
What is most valuable?
BigPanda , being an AIOps platform, efficiently handles a bulk of incidents by using AI to process them as a single request, creating a solution or root cause for the customer. It reduces the homework for us by minimizing human intervention. The alert functionality provides immediate notification of red alerts, prompting required actions and informing customers of service impacts. BigPanda improves service reliability with instant resolution, increased uptime, and reduced mean time to resolution, thus enhancing service quality.
What needs improvement?
I am not sure if we can pull reports of bulk incidents in different formats like PDF, Excel, or CSV. This feature would allow us to extract monthly incident reports similar to ServiceNow .
For how long have I used the solution?
It's been two years since I started using BigPanda. I recently completed my certification on the BigPanda AIOps platform.
What do I think about the stability of the solution?
I haven't experienced any stability or performance issues with BigPanda.
What do I think about the scalability of the solution?
BigPanda facilitates better collaboration between IT teams by providing a shared view of incidents and requests, contributing to scalability and flexibility.
How are customer service and support?
For technical support, we have only had to address password resets and alert mismatching. We manage to debug these issues and find the root cause.
How would you rate customer service and support?
Neutral
Which solution did I use previously and why did I switch?
Previously, we used SolarWinds for monitoring NvC alerts. Currently, all network alerts and other tasks are centralized in BigPanda, negating the need for separate tools.
What about the implementation team?
We have a separate team responsible for installing and maintaining BigPanda.
What was our ROI?
BigPanda offers significant time-saving, cost-saving, and resource-saving benefits. It centralizes multiple functions on a single platform, which streamlines operations and improves efficiency.
Which other solutions did I evaluate?
In my current role, I have experience with solutions like ServiceNow , BMC Remedy , Freshservice , and Zendesk . ServiceNow is one of the best for ticketing due to its concise workflows.
What other advice do I have?
For potential users, consider BigPanda for enhanced incident management, improved service reliability, and enhanced IT operations. A single screen with multiple modules simplifies monitoring. Based on my experience, I would rate BigPanda a six point five to seven out of ten due to limited access to reporting features compared to other tools. Overall, I would rate the solution seven out of ten.