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BigPanda
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.
Reviews (134)
Edward T.
A Game-Changer for Alert Management
Reviewed on Jul 09, 2026
Review provided by G2
What do you like best about the product?
I like that BigPanda consolidates alerts by feeding data from all of our separate monitoring tools and grouping the noise into single, actionable incidents. It helps in reducing alert fatigue, speeds up root cause analysis, and stops team finger pointing. I appreciate how I can immediately see the sequence of events like a network switch dropping first, causing the database to time out, and then the app to fail. This insight prevents redundant work and ends the blame game, so there's less dashboard hopping. The initial setup was also pretty straightforward, I'd rate it a 9 out of 10.
What do you dislike about the product?
Nothing in particular, just started using it.
What problems is the product solving and how is that benefiting you?
I use BigPanda for alert consolidation, reducing alert fatigue, speeding up root cause analysis, and ending team blame games. It saves time by reducing dashboard hopping and preventing redundant work.
Stephen V.
Filters Out Irrelevant Data So IT Can Focus on Critical Threats
Reviewed on Jul 07, 2026
Review provided by G2
What do you like best about the product?
I like that it filters out irrelevant data, so IT operators can focus on the most critical threats.
What do you dislike about the product?
Haven’t really found anything that I dislike about it.
What problems is the product solving and how is that benefiting you?
It keeps me from having to do incident reports on my own.
Palak G.
Effortless Incident Management with Real-Time Insights
Reviewed on Jul 04, 2026
Review provided by G2
What do you like best about the product?
I really like BigPanda's ability to correlate multiple alerts into a single incident, which makes managing incidents more efficient. The real-time incident updates are great, and I appreciate how seamlessly it integrates with tools like ServiceNow and Datadog.
What do you dislike about the product?
The setup can be complex and the interface could be more intuitive for new users. The setup could be simplified with guided onboarding, pre-built templates while the interface could be improved with a cleaner layout.
What problems is the product solving and how is that benefiting you?
I use BigPanda to consolidate, correlate, and prioritize IT alerts, allowing us to detect incidents faster and find their root cause. I like the ability to correlate multiple alerts into a single incident and the real-time incident updates with seamless integrations.
Ambrish M.
Effortless Security Management with BigPanda
Reviewed on Jul 04, 2026
Review provided by G2
What do you like best about the product?
I like BigPanda for its ease of use and implementation. I also appreciate that all the ISO 27001 standards and compliance are embedded into it.
What do you dislike about the product?
I would like to suggest that they should approach the enterprise market more aggressively.
What problems is the product solving and how is that benefiting you?
I use BigPanda for network security and infrastructure management, solving access control issues and securing network infrastructure. I like its ease of use and implementation, and appreciate that ISO 27001 standards and compliance are built-in.
Sayed M.
BigPanda Turns Alert Noise into Actionable, AI-Driven Incidents and remediation
Reviewed on Jul 02, 2026
Review provided by G2
What do you like best about the product?
BigPanda excels at correlating alerts from multiple monitoring tools into clear, actionable incidents. This helps reduce alert noise, speeds up root-cause analysis, and enables IT operations teams to resolve issues faster with AI-driven insights.
What do you dislike about the product?
Nothing to share about the BigPanda product as of now.
What problems is the product solving and how is that benefiting you?
BigPanda helps eliminate alert overload by correlating related events into a single incident. This enables faster root cause analysis, reduces MTTR, and improves the overall efficiency and reliability of IT operations.
Jean-Christophe L.
The core problems BigPanda solves
Reviewed on Jun 30, 2026
Review provided by G2
What do you like best about the product?
ts agentic AI-powered correlation engine, which gives IT operations teams something they rarely get: clarity. It cuts through massive volumes of alerts and noise, helping teams detect, triage, and prevent incidents far faster and with far less manual effort
What do you dislike about the product?
the biggest drawbacks tend to show up around complexity, cost, and the learning curve — especially for teams trying to modernize legacy environments.
What problems is the product solving and how is that benefiting you?
BigPanda reduces noise, accelerates incident response, and gives you unified visibility across your stack — which directly improves uptime, MTTR, and team efficiency.
Danielle C.
Fewer Outages So Far, Still Getting Started with BigPanda
Reviewed on May 23, 2026
Review provided by G2
What do you like best about the product?
There seems to be less issues and outages during the work day
What do you dislike about the product?
I don't have a specific item that I dislike as this is the first time we are using AI software similar to BigPanda
What problems is the product solving and how is that benefiting you?
IT incidents are alerted much faster leading to more ample work time.
Chandra S.
Turns Noisy Alerts into Context-Rich Incidents for Faster Resolution
Reviewed on May 21, 2026
Review provided by G2
What do you like best about the product?
BigPanda is its ability to turn noisy alerts into context-rich incidents, so teams can detect, triage, and resolve issues faster.
What do you dislike about the product?
As per my view I don’t see any dislike thing in Bigpanda
What problems is the product solving and how is that benefiting you?
BigPanda is solving the problem of noisy, fragmented incident management by correlating alerts, adding context, and automating triage and response. For me, that means less time spent chasing false alarms, faster root-cause identification, and shorter incident resolution times.
KiranMs
AI correlation has reduced noise and has improved our incident response and recovery times
Reviewed on May 10, 2026
Review provided by PeerSpot
What is our primary use case?
The overall use cases involve a few of the applications and servers sending data to BigPanda from an incident perspective, along with a few other tools from an analytic perspective. In terms of incident management, I am focusing on correlation and AIOps capabilities, which reduce noise and provide crisp, clear information regarding incidents.
What is most valuable?
The features of BigPanda that have most improved my incident response times include AIOps, correlation pieces, and grouping, which is a big win for us. The timelines it groups on specific mentions are considerable advantages.
BigPanda's automation and correlation features impact my operations by reducing incident count due to its capability to project parent-child relationships across incidents. Grouping them together helps narrow down issues faster, and resolution also improves because I can focus on impact-specific issues rather than multiple issues, which made determining impact difficult in the past.
What needs improvement?
Something that comes to mind regarding improvements is communication, as I rely heavily on another tool. If BigPanda could provide communication capabilities beyond just sending notifications—such as creating a war room style of notification, creating channels, getting people on calls, and opening a bridge—I would prefer functionalities similar to PagerDuty within the tool.
For how long have I used the solution?
I have been working with BigPanda for close to six years now.
What do I think about the stability of the solution?
In terms of product stability, I can rate it around nine. It is quite good, though I would not rate it a full ten because every time there is a new feature, I have to go through documents or contact support. As the world moves toward AI, there should be features that auto-enable or help direct users on how to navigate for what they are looking for.
How are customer service and support?
BigPanda's technical support is good, and they are pretty effective, though sometimes I may not be in a position to explain situations well, or they may require more information. Setting that aside, they are responsive.
Which solution did I use previously and why did I switch?
I am familiar with a couple of those solutions, and I have been using them.
How was the initial setup?
Regarding deployment, I did not face challenges that I need to highlight, but it went smoothly considering any other software deployment. A few scenarios had some challenges, but solutions could be identified for those, and those challenges did not require extensive support.
The deployment required close to a week, considering the complexity and the architecture, as it depended on approvals and process cycles.
My implementation strategy during that week involved procuring a few servers ourselves and dedicating them. I found the resource, started setting up the environment, connected that to BigPanda's SaaS world, defined the configurations, ensured all configuration management data was coming into BigPanda, and created the groups and entities, all taken care of during that one week period. Testing included making sure data was accurate with no drops, and I tested the network bandwidths and any latency, with each having its own set of guidelines, which helped me achieve everything in a week's time.
What about the implementation team?
There were three dedicated people involved in the deployment process, and depending on who wants to send data to BigPanda, there are many core services teams involved as well.
What was our ROI?
From an operational perspective, while I do not have much detail about costs, I can say that 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. Certain internal applications that users faced issues with are restored at faster time intervals, which I can vouch for.
What's my experience with pricing, setup cost, and licensing?
Regarding extra expenses, I pay more for communication and do not incur costs for another dashboard perspective, but there are indirect costs related to managing open-source products, leading to resource investment in maintaining the dashboards for these capabilities.
Which other solutions did I evaluate?
I am using BigPanda.
What other advice do I have?
The impact of BigPanda's AI on managing and prioritizing IT alerts is something I have not yet explored.
BigPanda supports my team during high-pressure, critical incidents quite well.
I would absolutely recommend BigPanda to other users and companies. My overall rating for this review is eight.
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)