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."
"We integrate our application logs. It is great to be able to tie our metrics and our traces together."
"The solution allows flexibility and heightened observability for presenting data, creating indicators, and setting service-level objectives."
"Datadog dashboards are pretty great."
"The solution has offered increased visibility via logging APM, metrics, RUM, etc."
"Anything I've wanted to do, I found a way to get it done through Datadog."
"I really enjoy the RUM monitoring features of Datadog. It allows us to monitor user behavior in a way we couldn't before."
"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."
"The solution has helped out organization gain improved visibility."
"The most valuable feature of Opsview is the ability to clone the services when you're monitoring something out of the test setup."
"I am satisfied with the overall product since it works well…It is a stable solution."
"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."
"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."
"I would like better navigability across pages."
"I often have issues with the UI in my browser."
"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."
"It does not have the best interface."
"ECS could be improved by including more tutorials for beginners to reduce the barriers to entry."
"Datadog could make their use cases more visible either through their docs or tutorial videos."
"The real issue with this product is cost control."
"The pricing model could be simplified as it feels a bit outdated, especially when you look at the billing model of compute instances vs the containers instances."
"Some of the graphics on Opsview could be improved."
"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."
"Customized reporting can be improved."
"Pricing and a few certain aspects in the solution needs to 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."
Datadog is ranked 2nd in Network Monitoring Software with 136 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.