We performed a comparison between Datadog and Opsview based on real PeerSpot user reviews.
Find out in this report how the two Network Monitoring Software solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."We can manage the entire system across the network and troubleshoot the pain points."
"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."
"The solution allows flexibility and heightened observability for presenting data, creating indicators, and setting service-level objectives."
"Datadog provides tracing and logging, whereas Dynatrace focuses on tracing, and Splunk is more of a logging tool. Datadog's advantage is that we don't need two tools."
"We have been able to set very specific CPU and memory alerts, at the very base level, then we started to pull real business value, like 99th percentile response rates for our API calls."
"Flame graphs are pretty useful for understanding how GraphQL resolves our federated queries when it comes to identifying slow points in our requests. In our microservice environment with 170 services."
"The dashboards and the performance of the software have been great."
"For us to have visibility into our app stack and the hardware we run has been highly beneficial."
"It is great that creating an incident is possible from Slack while having all the relevant data in Datadog."
"We use this solution for internal monitoring our own cloud platform because we are a public cloud provider. We also use it for monitoring purposes on behalf of our clients."
"I am satisfied with the overall product since it works well…It is a stable solution."
"The most valuable feature of Opsview is the ability to clone the services when you're monitoring something out of the test setup."
"It's a good solution. It covers all aspects of monitoring purposes."
"What was very compelling about OpsView was that we could dial out the noise and have meaningful and actionable alerts."
"The Wi-Fi side needs improvement."
"When the logs are too big, and Datadog splits them, the JSON format breaks and it is not so useful for us."
"The product could do better with its notifications."
"Sometimes, it takes a long time to load the dashboard if we have many charts."
"The documentation leaves a lot to be desired for new users."
"The sheer amount of products that are included can be overwhelming."
"More granular control over dashboard sharing. Timeboard sharing."
"We need to learn more about the session reply feature inside of DD."
"The Log Explorer could be better. I don't think it has log manipulation as Splunk does."
"Maybe the graphical representation can be improved. It can be enhanced for better visualization. It could be a little better. And the graph center can be improved."
"In a future release, we would like to have Observ for AI. Any AI and intelligence it can add to the monitoring is obviously beneficial. We would also like to have automated callouts."
"Pricing and a few certain aspects in the solution needs to be improved."
"Some of the graphics on Opsview could be improved."
"Customized reporting can be improved."
Datadog is ranked 2nd in Network Monitoring Software with 137 reviews while Opsview is ranked 32nd in Network Monitoring Software with 24 reviews. Datadog is rated 8.6, while Opsview is rated 8.6. The top reviewer of Datadog writes "Very good RUM, synthetics, and infrastructure host maps". On the other hand, the top reviewer of Opsview writes "Responsive and easy to customize alerts for, while being priced similarly to its competition". Datadog is most compared with Dynatrace, Azure Monitor, New Relic, AWS X-Ray and AppDynamics, whereas Opsview is most compared with OP5 Monitor, Zabbix, Nagios XI, Instana Infrastructure Monitoring and SCOM. See our Datadog vs. Opsview report.
See our list of best Network Monitoring Software vendors, best Cloud Monitoring Software vendors, and best IT Infrastructure Monitoring vendors.
We monitor all Network Monitoring Software 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.