We performed a comparison between Datadog and NETSCOUT nGeniusONE 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."The single dashboard is a valuable feature."
"We can manage the entire system across the network and troubleshoot the pain points."
"The interface and the integrations make it so easy to connect to the cloud or to the on-premise environment."
"It has a nice UI."
"Excellent autocomplete for everything in the UI."
"I don't have to worry about upgrades with the AWS version."
"Its integration is most valuable because you can integrate it with various service providers such as AWS, .Net, etc."
"We have hundreds of microservices, and knowing how top-level requests weave throughout all of them is invaluable."
"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."
"Datadog documentation on web pages has improved a lot and is pretty easy to follow and find."
"The installation process is straightforward."
"It is a scalable solution."
"The speed that you can get from the top of a problem all the way down to the packet layer of troubleshooting analysis."
"The most valuable feature of this solution is being able to drill down into any kind of troubles that are reported to us, by use of identifiers."
"The solution helps to troubleshoot and put our hands on the weak points of customer networks."
"It is the ability to collect data and analyze it, especially key performance indicators. This is before a customer would call to the service center to complain that they have had bad coverage or a dropped call."
"We build application dashboards and performance indexes for locations."
"The most valuable feature is that it is in line with the traffic. It already captures the raw traffic itself and then filters it, giving us the correct image. Some other companies may just extract what they think is valuable from the traffic itself. nGeniusONE is in line."
"The technical support needs improvement."
"The Wi-Fi side needs improvement."
"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."
"It could probably be a little bit of a better user experience."
"Datadog has a lot of features kind of cramped into one dashboard. It's quite hard to get around what feature does exactly what. There was a steep learning curve, trying to navigate through menus."
"The installation is easy for me. However, if you are new to this solution it might not be so easy."
"Datadog needs more local Asia-Pacific support, and if they don't have a SaaS solution in Asia-Pacific, they should offer an on-prem version. I'm told that's not possible."
"When it comes to storing the logs with Datadog, I'm not sure why it costs so much to store gigabytes or terabytes of information when it's a fraction of the cost to do so myself."
"We need to learn more about the session reply feature inside of DD."
"Stability of the product has been a concern for us outside of the primary monitoring agents."
"The single pane of glass view is a challenge. I like the graphics, they're easy to understand, but when more digging is required, it's more complicated to get what I'm expecting."
"Trying to set up dashboards is hard to figure out at times, if you don't do it every day. It's not really intuitive to set them all up... If there were a wizard to take us through, step-by-step, creating dashboards and the like, that would be really helpful."
"I would like more in-depth convergence between all the applications, especially when I look for information through a data mine."
"They can improve still on the workflows, document their workflows that are commonly used... We don't know some of the workflows yet, and it's not something that you can just read up in the manual. There is some stuff in the help manual and online, but it's to a point where you need to purchase extra training and services from them. You can't just go and read up on it yourself and learn from A to Z..."
"Another thing that would help out is if they packaged the NetFlow monitor into nGeniusONE. Their NetFlow monitor works with nGeniusONE where you can actually get the netflow of pretty much anything you hook it up to. But it's a separate box that you have to buy. If there was a way that could package that into nGeniusONE, it would be a complete package straight out of the box."
"It could have an easier to understand interface."
"NETSCOUT nGeniusONE's pricing is higher compared to the competitors. It is more than 15-18 percent of competitor costs. It also needs to add AI features."
"The GUI has gotten better over time but there could be some improvement in how the GUI is built."
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Datadog is ranked 2nd in Network Monitoring Software with 137 reviews while NETSCOUT nGeniusONE is ranked 23rd in Network Monitoring Software with 47 reviews. Datadog is rated 8.6, while NETSCOUT nGeniusONE is rated 8.2. The top reviewer of Datadog writes "Very good RUM, synthetics, and infrastructure host maps". On the other hand, the top reviewer of NETSCOUT nGeniusONE writes "We use it every day for the triaging of events, saving us a lot of time". Datadog is most compared with Dynatrace, Azure Monitor, New Relic, AWS X-Ray and Elastic Observability, whereas NETSCOUT nGeniusONE is most compared with Gigamon Deep Observability Pipeline, Dynatrace, ThousandEyes, AppDynamics and ExtraHop Reveal(x) for IT Operations. See our Datadog vs. NETSCOUT nGeniusONE report.
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