We performed a comparison between Datadog and ServiceNow Cloud Observability based on real PeerSpot user reviews.
Find out in this report how the two Application Performance Monitoring (APM) and Observability solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."Because of our client focus, it is easy for us to sell. This is because it is easy to use and easy to set up."
"The solution has helped out organization gain improved visibility."
"It is a good one stop location where we keep all our data for our infrastructure, and it's also easier to navigate between different things."
"The ease with which we can filter, use metrics, and give accounts to customers, then let the customer filter, set up metrics, and alerts. This has been a big win for us."
"Datadog has clear dashboards and good documentation."
"Even if we don't end up using Datadog, it revealed problems and optimizations to us that weren't obvious before."
"The installation step is pretty straightforward."
"The ease of correcting these dashboards and widgets when needed is amazing."
"The UI is very intuitive."
"The ability to create a stream based on different parameters, operation name, service name, URL, tags, and URI part, is one valuable feature."
"The solution Lightstep/ServiceNow has a couple of pretty advanced functionalities to help us investigate a deviation and help the development teams have better observability in the environment using distributed and complex services."
"The incident management beta looks promising, but it is still missing the ability to automatically create incidents based on certain alerts."
"I think better access to their engineers when we have a problem could be better."
"Datadog could make their use cases more visible either through their docs or tutorial videos."
"Managing dashboards as IaC is a bit hard to work out at times."
"I would love to see support for front-end and mobile applications. Right now, it is mostly all back-end stuff. Being able to do some integration with our front-end products would be awesome."
"I found the solution to be stable, I did not experience any bugs or glitches. However, some of the managing team did."
"The product needs a better Datadog agent installation."
"Since the Datadog platform has so many separate features, solving so many use cases, there are often inconsistencies in feature availability and interoperability between products."
"The support team could be better. Because of the different versions of different tactics of integrating reactive code base, the documentation is not very clear if someone has to be onboard. I would rate the documentation of Lightstep a five out of ten. It could need improvement."
"The design of this solution is not very intuitive and probably could come with more friendly tips for beginners."
"The dashboard and graphics must be improved."
Datadog is ranked 1st in Application Performance Monitoring (APM) and Observability with 137 reviews while ServiceNow Cloud Observability is ranked 48th in Application Performance Monitoring (APM) and Observability with 3 reviews. Datadog is rated 8.6, while ServiceNow Cloud Observability is rated 7.4. The top reviewer of Datadog writes "Very good RUM, synthetics, and infrastructure host maps". On the other hand, the top reviewer of ServiceNow Cloud Observability writes "Provides effective observability and offers robust alerting and monitoring capabilities". Datadog is most compared with Dynatrace, Azure Monitor, New Relic, AWS X-Ray and AppDynamics, whereas ServiceNow Cloud Observability is most compared with Grafana, New Relic, Dynatrace, Elastic Observability and Splunk Enterprise Security. See our Datadog vs. ServiceNow Cloud Observability report.
See our list of best Application Performance Monitoring (APM) and Observability vendors.
We monitor all Application Performance Monitoring (APM) and Observability reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.