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."The installation step is pretty straightforward."
"They have a very good foundation in capturing metrics, logs, and traces. It's a very nice tool for that and it allows you to apply these monitoring tools in almost any technology."
"The dashboards are great."
"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."
"Using the data, our operation teams works with the dashboards to get their statistics, analytics, etc."
"The solution's SaaS model is easy to manage and works well in single- or multi-cloud environments."
"The CCM, Workflows, Logs, APM, and RUM are all useful aspects of the solution."
"It brings in observability, monitoring, and alerting capabilities - all of which we need to operate at scale."
"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 UI is very intuitive."
"Federated views for Datadog dashboards are critical as large companies utilize multiple instances of the product and cannot link the metrics or correlate the metrics together. This stunts the usage of Datadog."
"More granular control over dashboard sharing. Timeboard sharing."
"The pricing should be less of a surprise."
"When I started using it years ago, it had stability problems. I remember, specifically, we ran everything in Docker containers. There were some problems getting it into a Docker container with very specific memory limits."
"We'd like Datadog to make the log storage cheaper."
"Datadog could be improved if it could detect other software in a container or server."
"They should continue expanding and integrating with more third-party apps."
"The documentation could be improved regarding setting up the agent properly and debugging."
"The dashboard and graphics must be improved."
"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."
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 Elastic Observability, 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.