

PagerDuty Operations Cloud and BigPanda offer robust IT operations management solutions. While PagerDuty Operations Cloud excels in real-time incident response, BigPanda's comprehensive event correlation and efficiency in large-scale operations provide significant value, arguably justifying its higher cost.
Features: PagerDuty Operations Cloud is praised for real-time incident response, automation, and quick deployment. BigPanda effectively correlates IT noise, reduces alert fatigue, and is highly efficient for large-scale operations. Both are feature-rich, but BigPanda’s comprehensive event correlation provides an edge in large environments.
Room for Improvement: PagerDuty Operations Cloud could benefit from better integration flexibility, enhanced reporting capabilities, and more customizable notifications. BigPanda needs improvements in onboarding processes, more intuitive documentation, and streamlined user interface updates. Each platform has distinct areas needing refinement.
Ease of Deployment and Customer Service: PagerDuty Operations Cloud users note its quick deployment and responsive support team. BigPanda’s deployment is straightforward, with users praising its proactive customer service. Both platforms are user-friendly, but BigPanda’s supportive onboarding process gives it a slight advantage.
Pricing and ROI: PagerDuty Operations Cloud users report reasonable setup costs and satisfactory ROI. BigPanda's pricing is higher but justified by its advanced features and efficiencies gained. Despite the higher costs, BigPanda users feel that the ROI benefits offset the initial investment, offering more value in extensive IT operations.
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.
The escalation was not possible at all before, which led to the L1 team being under too much stress.
The alert reduction feature has greatly impacted our ability to prevent costly incidents, as we can accurately respond to alerts with the help of autonomous AI agents, which reduces erroneous notifications.
We definitely save time with PagerDuty Operations Cloud. It saves more than half an hour—30 minutes—for each incident.
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.
we have never had an issue when reaching out to someone in customer service
They understand our concerns and are willing to implement solutions that integrate into PagerDuty Operations Cloud effectively.
I received good responses from PagerDuty Operations Cloud, and they provide informative assistance when required.
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.
Scalability for PagerDuty Operations Cloud is excellent, and I rate it at 9.9.
Whatever top-notch tools we are using as an enterprise solution, PagerDuty Operations Cloud has kept itself current and integrates nicely with all the tools we use these days.
The product was highly scalable, with no limits on the number of applications or event routing rules.
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.
We have never experienced any downtime or latency issues from PagerDuty Operations Cloud.
It never breaks down for us, and considering I have devoted 20 years of my career to IT infrastructure operations, where everything typically breaks down, including Jira and ServiceNow, it is impressive to say that PagerDuty Operations Cloud has not caused disruptions.
PagerDuty Operations Cloud is definitely stable, providing faster incident management and making managing our on-call roster easy along with effective escalation and notification channels.
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.
It would be useful to have a way to define all configurations in code that is similar to how Terraform operates.
With many new members, they need training to set up runbook workflows, event orchestration, and manage complex on-call schedules across 23 services, making it a challenge for new users.
Additionally, I think a sandbox mode would be helpful for new team members, allowing us to guide them in simulating alerts, performing escalation policies, and creating PagerDuty Operations Cloud channels.
The pricing for BigPanda is reasonable compared to other event management tools, given its advantages.
I had around seven users part of it for a base pricing of around $450 per user, primarily for custom workflows and the ITSM part.
We have been using PagerDuty Operations Cloud for several years, so our pricing and cost have definitely increased over time, especially as we have hired additional engineers.
I hear from my manager that the pricing is very high for PagerDuty Operations Cloud, and only a few of us have the main business tier accounts.
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.
It integrates with multiple applications and is highly customizable, with policies, escalation procedures, and an event routing tool that ensures contacting the right person.
In addition to those features, I also find the integration and reporting aspects of PagerDuty Operations Cloud valuable, as it records all triggered calls and incidents, enabling us to analyze patterns and identify the times when systems go down, thus assisting us in understanding and addressing the underlying causes.
Before, setting up everything was very difficult. Now, we don't have to think about it. We can simply set it up in PagerDuty and it works.
| Product | Mindshare (%) |
|---|---|
| PagerDuty Operations Cloud | 11.0% |
| BigPanda | 2.7% |
| Other | 86.3% |

| Company Size | Count |
|---|---|
| Small Business | 6 |
| Large Enterprise | 11 |
| Company Size | Count |
|---|---|
| Small Business | 19 |
| Midsize Enterprise | 16 |
| Large Enterprise | 42 |
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.
PagerDuty Operations Cloud specializes in incident management and alert automation, with integration to 700+ platforms, reducing resolution time and manual workloads through AI-driven features and automated alerts.
PagerDuty Operations Cloud is a robust tool for automated incident management, integrating seamlessly with platforms like ServiceNow, Datadog, New Relic, and AWS. It provides AI-driven alert grouping, customizable escalation policies, and multiple notification methods, including SMS and mobile apps. Despite its intricate interface and cost concerns, it significantly enhances reliability and response times. Users utilize it for shift scheduling and automated responses via webhooks, optimizing operational management and improving reaction to high-severity alerts.
What are the key features of PagerDuty Operations Cloud?Organizations, especially in IT and DevOps, find PagerDuty Operations Cloud beneficial for automated incident management. Integrating with platforms such as Slack and cloud providers, it aids in efficient incident handling. Teams use it for monitoring and resolving critical issues effectively, leveraging webhooks and notifications to maintain operational efficiency.
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