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."
"Most of the features in the way Datadog does monitoring are commendable and that is the reason we choose it. We did some comparisons before picking Datadog. Datadog was recommended based on the features provided."
"The product has offered increased visibility via logging APM, metrics, RUM, etc."
"The solution is sufficiently stable."
"It has a nice UI."
"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."
"I don't have to worry about upgrades with the AWS version."
"The tool's deployment is easy."
"Since we integrated Datadog, we have had increased confidence in the quality of our service, and we had an easier time increasing our delivery velocity."
"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."
"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."
"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."
"The Wi-Fi side needs improvement."
"I found the solution to be stable, I did not experience any bugs or glitches. However, some of the managing team did."
"We would really like to see more from the Service Catalog."
"We need to learn more about the session reply feature inside of DD."
"I want to applaud the efforts in making the UI extremely usable and approachable. My suggestion would be to take another look at how the menu structure is put together, however. Even after using the platform mostly every day for months, I still find myself trying to find a service or feature in the menus."
"Lacks some flexibility in the customization."
"In the past two years, there have been a couple of outages."
"I find the training great. That said, it is set for the LCD (lowest common denominator). Of course, this is very helpful to sell the product, yet, to really utilize the product, you need to get more detailed."
"Datadog could always lower the price!"
"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."
"Customized reporting can 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."
"Some of the graphics on Opsview could be improved."
"Pricing and a few certain aspects in the solution needs to 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.