We performed a comparison between Nagios Core and Pico Corvil Analytics based on real PeerSpot user reviews.
Find out what your peers are saying about Zabbix, Datadog, Auvik and others in Network Monitoring Software."We can manage the entire system across the network and troubleshoot the pain points."
"Key features include the GUI interface, its notification capabilities, and the real-time reporting."
"Our customers like that Nagios Core is an open source solution. It can be customized to our customers' specific needs."
"Nagios Core is stable."
"The notifications are definitely one of the most valuable features of Nagios Core. We know what to look for and what to expect when things are down."
"The most valuable feature depends on the project. It's great if you need to check to ensure a service is running 24/7. I can use the full solution for free, and it's flexible. If I need to add a dashboard, I can integrate it with Nagios. Cloud synchronization is wonderful."
"What I like about Nagios Core is that it helps me ensure everything is running smoothly by checking the status of hosts and services."
"Other products are good but from the configuration point of view Nagios is really very lightweight. The price is really good in my opinion. Another important thing is that my Nagios engine still works with Dual core 8GB ram for the last 10 years."
"The application performance monitoring feature is valuable."
"With the Corvil Stored Data Analyzer module, we can use it for test data or a set of production data to set up the configuration for latency setup, so we can use the fields to correlate messages."
"What is most valuable is the ability to troubleshoot when a client complains of spikes in latencies. It gives us the ability to go granular, all the way down to looking at the network packets and analyze them."
"We can use CLI with the UI for configuring the new monitoring system, which is good."
"The analytics features of Corvil are really good... As long as you know what the field is in the message, you can build your metrics based on that field... It means you can do the analytics that you actually care for. You can customize it..."
"The performance metrics are pretty good. We've got everything from the network layer to the actual application layer. We can see what's going on with things like sending time and batching."
"It allows us to trace the flow. The logic is built sufficiently for us to be able to break down clients' orders, underlying child orders, and execution. Thus, it's a good way for us to trace client flow through a myriad of different internal systems."
"As part of my role in monitoring multiple client connections, I would use Pico Corvil Analytics to set up alerts for performance issues, such as TCP resends and dropped packets. These alerts would trigger when the volume was low and performance was poor, allowing me to work with our trading partners to find a resolution. I would present them with the statistics I had and together, we would identify the source of the issue. This collaboration resulted in the client often reconfiguring their systems. For example, we may find that a network connection needed to be made. Overall, this proactive approach helped to maintain strong connections with our clients and minimize disruptions to trading revenue."
"Time-series graphs are very good for performance analysis. We can do comparisons... We can say this is the latency in the last 24 hours, and this was the same 24-hour period a week ago and overlay the two time-series graphs on top of each other, so we can see the difference. That's a really powerful tool for us."
"The Wi-Fi side needs improvement."
"The UI is a little outdated and graphics could be displayed in a better way."
"The mapping is a little hard."
"The user interface could be more interactive because it is pretty basic."
"The dashboard and monitoring features could be improved."
"The initial setup process could be easier."
"We're using the free version, which limits us in terms of the things that we can do. If we had the paid version, a lot of our issues would probably go away. For example, we can't isolate instances that are being built or updated with the production ones. When they're being built, on Nagios, they're showing in red. It'd be nice to be able to partition those off until they're all green, and then we can bring them into the environment. This is probably because we've got the free version and not the paid version. If we went for the paid version, it would probably allow us to do exactly what we want to or remove the restrictions that we have, but if we are able to isolate instances in the free version, it would make life much easier."
"Nagios Core can improve the graphical interface, it would make things a little easier."
"I believe Nagios Core will need to provide an option for big data platforms in the future."
"There is definitely room for improvement in the reporting. We've tried to use the reporting in Corvil but, to me, it feels like a bolt-on, like not a lot of thought has gone into it. The whole interface where you build reports and schedule them is very clunky."
"Before I got the Corvil training... one thing that was not very efficient was that every time you had to create a new stream or a new session from within Corvil... you had to tell it what protocol the message is going to come through and how to correlate messages, etc... After I went for the training, they had already added these nice features in the 9.4 version where it could do auto-discovery... Based on the traffic that it has already seen, it could create sessions on the fly."
"For FIX protocol, maybe we could have built-in configurations for signatures and decoders. Also, for certain protocols, which are newer, we would like to just add the signatures within the decoders itself."
"The creation of charts and real-time windows was somewhat cumbersome. The vendor's website had an application called App Agent that required improvement. This API was designed to track message rates between microservers ingested into a microservice memory map. It allowed users to monitor the number of transactions that occurred at specific points within the application, and it was quite impressive. However, it had some limitations, and it mainly served as a tool for basic tracking. The protocols it employed could reveal the type of server-to-server communication and the specific order types, but it was not able to provide a more in-depth analysis of the application. The vendor has the potential to integrate application metrics more extensively into their product suite."
"The analytics feature is very nice, but it's mostly software. We are hoping that it could be embedded in ASICs, so it could be faster."
"In terms of performance analysis, if you really want to dig down into the minutiae and get statistics on the important things... that would be the only piece lacking because, in our environment, we have thousands and thousands of symbols. With the architecture that Corvil is built on, it's cumbersome."
"It's quite difficult to see, sometimes, how hard your Corvil is working. When we had a very busy feed that chucked out a lot of data it wasn't working very well on Corvil. We had to raise a case for it. It turned out to be that, in fact, we were overloading Corvil."
"I have seen errors where the CNE and the CMC haven't synced because of something missing in the CMC, which was there in the CNE. We would get some type of error, but it doesn't actually say what exactly was missing in the CNE."
Nagios Core is ranked 7th in Network Monitoring Software with 46 reviews while Pico Corvil Analytics is ranked 51st in Network Monitoring Software with 9 reviews. Nagios Core is rated 8.0, while Pico Corvil Analytics is rated 9.0. The top reviewer of Nagios Core writes "An Open Source Fully Featured Data Centre Monitoring Tool". On the other hand, the top reviewer of Pico Corvil Analytics writes "Helpful support agents, beneficial issue detection, and high availability". Nagios Core is most compared with Zabbix, Nagios XI, Centreon, Icinga and OP5 Monitor, whereas Pico Corvil Analytics is most compared with NETSCOUT nGeniusONE, Gigamon Deep Observability Pipeline and ThousandEyes.
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