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."Datadog has clear dashboards and good documentation."
"We have hundreds of microservices, and knowing how top-level requests weave throughout all of them is invaluable."
"Datadog is constantly adding new features."
"Using the data, our operation teams works with the dashboards to get their statistics, analytics, etc."
"This spectrum of solutions has allowed us to track down bugs faster and more rapidly, which allows us to limit revenue lost during downtime."
"It has provided visibility with ease of implementation and allowed multiple teams to quickly onboard it."
"The integration into AWS is key as well as our software is currently bound to AWS."
"We enjoy the multistep API tests."
"The product easily integrates with other solutions."
"The inbound integrations that PagerDuty provides with most of the DevOps tools are valuable."
"The alerts are immediate in this solution, which allows us to respond to errors quickly."
"It has scaled well for us."
"A cool feature is that it helps us to understand the flow of the alert. If the alert was coming to the current on-call and he didn't catch the call or didn't notice it for any reason, it starts being escalated automatically, according to the escalation schedule, or to other teammates. You can see the flow very easily on your phone or via the website, if you want to do a post-mortem."
"The initial setup is straightforward."
"PagerDuty let us set up rosters based on our shifts. We could assign a hierarchy for how the calls should be escalated and the number of times the call will be transferred between people before it is answered. It makes it easy to access an agent via mobile phone."
"The most valuable feature is definitely the flexibility of the schedule. The mobile app is quite also good for what we do: for receiving alerts, acknowledging, assigning, adding new responders. It has rich features for our needs."
"Billing should be more transparent."
"More granular control over dashboard sharing. Timeboard sharing."
"Stability of the product has been a concern for us outside of the primary monitoring agents."
"We would like to see smaller or shorter tutorials and video sessions."
"Even though it is powerful on its own, the UI-based design lacks elegance, efficiency, and complexity."
"If there were a more cost-effective manner of deploying the tool, we'd be more likely to adopt it more widely."
"As a new customer, the Datadog user interface is a bit daunting."
"The sheer amount of products that are included can be overwhelming."
"It’s quite hard to reach the support team."
"It is a very non-customizable product, so you cannot add things like root cause analysis or the classification of incidents based on the area where you are getting more incidents. For example, if you're getting a lot of database issues, that may be an are you want to probe."
"It cannot be integrated with our upgraded Jira system."
"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."
"This solution works best in conjunction with a proper logging system, which can be an additional cost to organizations."
"PagerDuty could improve the event orchestration by enhancing features, such as easier condition setup inside the orchestration."
"The product can be improved by including out-of-the-box integration with other standard tools used in our fields such as Confluence, and Jira."
"They could include incident merging and alert grouping features in the product."
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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