We performed a comparison between BigPanda and PagerDuty Operations Cloud based on real PeerSpot user reviews.
Find out in this report how the two AIOps solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."Easy integration - We've had challenges in the past integrating all of our various monitoring sources and tools into one central system. BigPanda, with the integrations that it already has, as well as offering webhook/REST API, has made it very easy for us to plug everything in."
"The event correlation is really good and it is able to reduce the noise. It is a good tool for anomaly detection."
"Alert deduplication and correlation - In an environment like the NOC where you're ingesting hundreds and thousands of alerts from various monitoring sources, it's time consuming and difficult to go through individual alerts and also difficult to spot critical issues. It's been great to have BigPanda not only deduplicate alerts but also correlate alerts that are seemingly unrelated, to create a clearer picture."
"One of the most valuable features of BigPanda is its user-friendly interface."
"The most useful feature has been the AI/ML. The way BigPanda uses the AI/ML is good compared to other SRE tools."
"The most valuable features of BigPanda are the API integration was good. It enables us to do faster onboarding."
"A user-friendly solution."
"The program is very stable."
"The solution's most valuable features are that it adds each alert as a service, has good scheduling capabilities, and includes the ability to write logic based on texts."
"The initial setup is a simple process."
"The product easily integrates with other solutions."
"PagerDuty is very stable and very reliable."
"The inbound integrations that PagerDuty provides with most of the DevOps tools are valuable."
"PagerDuty's best features are the dedicated application that allows me to reach my engineers immediately and the ability to directly assign specific tasks to individuals and have them report back."
"PagerDuty's notification process is the most valuable feature."
"Alert deduplication and noise reduction for alerts are the major features that I found useful."
"Analytics is an area for improvement, being able to break down the actions that are being taken by users of BigPanda, as well as the auto-magical work that is being done by BigPanda."
"The UI for this solution could be improved. It is very hard to find what you are looking for."
"BigPanda attempts a little of everything and fails at most."
"The observability can be enriched with regards to infrastructure and the application-integrated environment. The dashboard and reports could be improved."
"BigPanda could improve by syncing its threshold settings with Dynatrace to align with users' familiarity."
"We had to use a partner for the deployment."
"Our infrastructure is quite large - tens of thousands of servers, often with 30-plus checks running on each host with one minute intervals. This generates a lot of data often in bursts (when we have a large scale failure). This has caused some delay in the ingestion pipeline."
"BigPanda can improve the correlations. We didn't see any big value. It is still good at the same event deduplication, event processing, and ticket creation, but I was more looking at event analysis and event correlation. In that area, it is still no big difference between the other solutions on the market. All of them, are in the same immature stage."
"PagerDuty could improve the event orchestration by enhancing features, such as easier condition setup inside the orchestration."
"The On-Call Teams feature could be better in terms of levels of conditions related to which team or member should get the responsibility of handling a matter or incident."
"I am not a direct end user of PagerDuty. It's hard to consider its shortcomings in that sense."
"The solution's analytics are okay. I don't think the features, at this point, give you a lot of insights. We have actually been trying to get insights from it but it hasn't really given us a lot of extra points to explore. We were looking at the number of alerts to see where many of the alerts were coming from. We never managed to get many insights on this."
"They could include incident merging and alert grouping features in the product."
"I would like to see more content in the notification messages; although, that might be a configuration on our end."
"PagerDuty's webhooks need some improvement."
"I would like the UI to be more intuitive. I would like to be able to group or color-code the discoveries. When you create a system, you have a listing of all the different configurations. You can list them by teams, but some additional color coding would be helpful. I would break it down by incident controls. In other words, it should be broken down it into response teams and engineering divisions."
BigPanda is ranked 13th in AIOps with 12 reviews while PagerDuty Operations Cloud is ranked 7th in AIOps with 35 reviews. BigPanda is rated 7.2, while PagerDuty Operations Cloud is rated 8.8. The top reviewer of BigPanda writes "Offers comprehensive alert monitoring and a user-friendly interface but requires manual validation to provide accurate alerts". On the other hand, the top reviewer of PagerDuty Operations Cloud writes "Effectively generates alerts for incidents, making it suitable for 24/7 monitoring of infrastructure". BigPanda is most compared with ServiceNow, Moogsoft, IBM Tivoli NetCool OMNIbus, ServiceNow IT Operations Management and Splunk Enterprise Security, whereas PagerDuty Operations Cloud is most compared with Opsgenie, ServiceNow, JIRA Service Management, Splunk On-Call and IBM Tivoli NetCool OMNIbus. See our BigPanda vs. PagerDuty Operations Cloud report.
See our list of best AIOps vendors and best IT Alerting and Incident Management vendors.
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