We performed a comparison between BigPanda and PagerDuty Operations Cloud based on real PeerSpot user reviews.
Find out in this report how the two IT Alerting and Incident Management solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."The most useful feature has been the AI/ML. The way BigPanda uses the AI/ML is good compared to other SRE tools."
"Alert aggregation was the primary requirement. BigPanda pulls all this together into a single UI for us, allowing us to see related alerts grouped together into an incident, and enables us to easily create a JIRA ticket and Slack channel to manage an issue."
"We have also made extensive use of the outbound integrations to ticketing systems (JIRA) and collaboration tools (Slack). The main driver for us has been getting all alerting into a single UI and enabling us to streamline our incident management process."
"The program is very stable."
"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."
"The main thing that we like about BigPanda is the user interface."
"A user-friendly solution."
"The product easily integrates with other solutions."
"The most valuable feature is the phone app that allows us to send notifications without the additional fees when sending by SMS or phone calls."
"PagerDuty is very stable and very reliable."
"Alert deduplication and noise reduction for alerts are the major features that I found useful."
"The initial setup is a simple process."
"The inbound integrations that PagerDuty provides with most of the DevOps tools are valuable."
"It has scaled well for us."
"The initial setup is straightforward."
"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."
"BigPanda could improve by syncing its threshold settings with Dynatrace to align with users' familiarity."
"The cost of this product is too high compared to New Relic."
"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."
"The usability needs to improve, because it is a pure code environment."
"The solution could improve by having better integration."
"BigPanda attempts a little of everything and fails at most."
"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."
"PagerDuty should be integrated with other tools, so it can import the IT roster automatically. Our other rules continue to work once they're configured, but the roster must be added manually."
"The solution does not code all alerts correctly so sometimes you get false positives or multiple alerts for the same issue."
"PagerDuty's webhooks need some improvement."
"Because of the way you have to structure the rosters, if an engineer has to go on leave (or something), you can't just go in and reassign/take this person out of all of the different rosters that they're in. You have to go into each of the rosters and take them out. There might be a roster for business hours, after hours rotation, and monitoring deployments. Each time we need to take an engineer out of the pool, e.g., if they're sick or on leave, then we have to go and touch all of those rosters, updating and replacing them. Whereas, if we could just take the person out and have it automatically fill in the rostering, then that would make life a lot easier for managing it."
"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."
"It’s quite hard to reach the support team."
"They could include incident merging and alert grouping features in the product."
"It cannot be integrated with our upgraded Jira system."
BigPanda is ranked 10th in IT Alerting and Incident Management with 12 reviews while PagerDuty Operations Cloud is ranked 1st in IT Alerting and Incident Management 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, ServiceNow IT Operations Management, IBM Tivoli NetCool OMNIbus 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.
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