

PagerDuty Operations Cloud and BigPanda are competing in the incident management and integration platform category. BigPanda seems to have the upper hand in automation and AI-driven insights, which are critical for real-time incident management.
Features: PagerDuty Operations Cloud provides real-time alert notifications, automated incident escalation, and integration with AWS, Datadog, and CloudWatch, boosting response time and coordination. BigPanda excels in AI-driven event correlation and alert deduplication, which significantly reduces noise and improves efficiency by providing enriched alert data and efficient resolution management.
Room for Improvement: PagerDuty Operations Cloud's main issues include its high pricing for smaller teams and the need to improve reporting accuracy and mobile app functionality. BigPanda could enhance its AI integration and offer more flexible correlation tuning while also improving its communication capabilities.
Ease of Deployment and Customer Service: PagerDuty Operations Cloud is recognized for its reliability and responsive 24/7 customer service, making it user-friendly and stable. BigPanda provides robust customer service with a focus on AI-driven insights and automated workflows, although PagerDuty is preferred for ease of integration and stability.
Pricing and ROI: PagerDuty Operations Cloud's pricing may be prohibitive for smaller teams, but it offers substantial value for large organizations by reducing MTTR and improving efficiency. Its ROI is enhanced by minimizing downtime. BigPanda offers competitive pricing and is cost-effective for event management through AI and automation, leading to improved incident response times and overall service 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.
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.
PagerDuty Operations Cloud is a good product for the organization and the support team is highly effective and responsive.
We have standing weekly calls to discuss any doubts, and there is a dedicated team, including an engineer and a PagerDuty Relations Manager, assigned to support us.
we have never had an issue when reaching out to someone in customer service
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.
We are able to extend our PagerDuty Operations Cloud configuration without major challenges or changes to our overall operational model.
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.
Over three years, we have experienced zero outages on PagerDuty that prevented alerting or on-call notifications.
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.
There are indirect costs related to managing open-source products, leading to resource investment in maintaining the dashboards for these capabilities.
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.
The pricing for PagerDuty Operations Cloud is a bit expensive, especially for startups like us, compared to the other platform which I mentioned, which is Rootly.
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.
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 | 9.7% |
| BigPanda | 2.6% |
| Other | 87.7% |


| Company Size | Count |
|---|---|
| Small Business | 6 |
| Large Enterprise | 12 |
| Company Size | Count |
|---|---|
| Small Business | 29 |
| Midsize Enterprise | 21 |
| Large Enterprise | 71 |
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 focuses on efficient incident management, featuring advanced alert and notification systems, mobile alerts, and AI-driven functionalities that facilitate streamlined on-call schedules and integrations with major monitoring tools.
PagerDuty Operations Cloud offers comprehensive incident management with real-time alerts and notifications via mobile, SMS, and calls. This empowers teams to respond swiftly and reduce missed incidents. Efficient on-call management through automated scheduling and escalation enhances team productivity, while AI-driven alert grouping minimizes noise. Integration with tools like AWS and Datadog further streamlines operations.
What are the key features of PagerDuty Operations Cloud?PagerDuty Operations Cloud implementation spans industries like e-commerce and IT services, where it automates anomaly detection and manages high-severity incidents. Its integration capabilities and AIOps features significantly enhance incident management, proving valuable for sectors demanding real-time performance and responsiveness.
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