We performed a comparison between Datadog 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."We integrate our application logs. It is great to be able to tie our metrics and our traces together."
"Datadog is easy to use and easy to deploy. It's a better solution compared to others on the market in terms of being budget friendly for our customers."
"Most of the features in the way Datadog does monitoring are commendable and that is the reason we choose it. We did some comparisons before picking Datadog. Datadog was recommended based on the features provided."
"It has saved us a lot of trouble in implementation."
"Its integration definitely stands out. It provides seamless monitoring of all our systems, services, apps, and whatever else we secure and monitor. Visualizations have become simpler with dashboards. We are getting visibility into systems, services, and apps stack through a single pane of glass, which is good. We are able to put logs in context."
"The most valuable features of Datadog are the flexibility and additional features when compared to other solutions, such as AppDynamics and Dynatrace. Some of the features include AI and ML capabilities and cloud and analysis monitoring"
"The network map is crucial in identifying bottlenecks and determining what needs more attention."
"The ability to send notifications based on metadata from the monitor is helpful."
"The SMS pages and the mobile application are pretty much the top two features."
"The initial setup is a simple process."
"Alert deduplication and noise reduction for alerts are the major features that I found useful."
"It reduces the amount of white noise. If something comes through, then it will alert somebody. However, if it's a bit of white noise that comes through at night, then it gets dealt with the next day. Everything is visible to everybody. It's not just a single person getting an SMS, then going, "Oh, I'm not going to worry about that." The visibility to everybody on the team is one of the great things about it because it reduces the white noise."
"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."
"The inbound integrations that PagerDuty provides with most of the DevOps tools are valuable."
"The product has valuable on-call scheduling, escalation, and incident workflow management features."
"The product easily integrates with other solutions."
"I find the training great. That said, it is set for the LCD (lowest common denominator). Of course, this is very helpful to sell the product, yet, to really utilize the product, you need to get more detailed."
"Datadog could always lower the price!"
"We have contact with many customers that cover many areas, so we have cases where the infrastructure administration could be improved."
"We'd like Datadog to make the log storage cheaper."
"Billing should be more transparent."
"Datadog could have a better business analysis module."
"I've found that the documentation is lacking in certain regards."
"Datadog lacks a deeper application-level insight. Their competitors had eclipsed them in offering ET functionality that was important to us. That's why we stopped using it and switched to New Relic. Datadog's price is also high."
"The biggest area for improvement with PagerDuty is noise suppression. There have been a handful of incidents through our use of PagerDuty over the years where one incident may lead to 30 to 50 pages because you're monitoring all these different things, and each thing is an individual page. There should be the ability to set up paging tiers and group correlations between some of the different pages. That is something that would be really valuable. We should be able to say this one page may have a group or a tree of effective other pages that may tier off of it. So, if you see those pages independently, go ahead and alarm, but if you see this plus that, don't do that."
"PagerDuty can improve the integration with Terraform."
"This solution works best in conjunction with a proper logging system, which can be an additional cost to organizations."
"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 would like to see more content in the notification messages; although, that might be a configuration on our end."
"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."
"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."
"The user interface could be more intuitive."
Datadog is ranked 1st in AIOps with 137 reviews while PagerDuty Operations Cloud is ranked 8th in AIOps with 35 reviews. Datadog is rated 8.6, while PagerDuty Operations Cloud is rated 8.8. The top reviewer of Datadog writes "Very good RUM, synthetics, and infrastructure host maps". 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". Datadog is most compared with Dynatrace, Azure Monitor, New Relic, AWS X-Ray and Elastic Observability, whereas PagerDuty Operations Cloud is most compared with Opsgenie, ServiceNow, JIRA Service Management, Everbridge IT Alerting and Splunk On-Call. See our Datadog vs. PagerDuty Operations Cloud report.
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