We performed a comparison between Datadog and Pico Corvil Analytics 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 most valuable aspect is for us to have everything in one place."
"Sometimes it's more user friendly for development teams. There are some parts of Datadog that are more understandable for development teams. For example, the APM in Datadog works more manually and works like the tools in New Relic or Grafana, or Elastic. It is easier to understand for software development teams."
"It lets us react more quickly to things going wrong. Whereas before, it might have been 30 minutes to an hour before we noticed something going on, we will know within a minute or two if something is off, which will let us essentially get something back up and running faster for our customers, which is revenue."
"I find the greatest feature is being able to search across logs from various microservices."
"Having a clear view, not only of our infrastructure but our apps and services as well, has brought a great added value to our customers."
"We have way more observability than what we had before - on the application and the overall system."
"Integrating Datadog with other platforms has made our monitoring processes a bit easier. It's not super simple, but it's manageable."
"I like the amount of tooling and the number of solutions they sold with their monitoring. Datadog was highly intuitive to use."
"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."
"It has all the decoders so it's capturing every network packet and it's decoding in real-time and it's giving us latency information in real-time... It's the real-time decoding and getting the latency information statistics that we find the most useful."
"We can use CLI with the UI for configuring the new monitoring system, which is good."
"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 like the dashboards because they essentially organize all the sessions into one viewpoint."
"We're able to quickly drill down and find answers to events that are happening in real-time, using Corvil's analytics tools. That's the feature which is most in the spotlight..."
"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."
"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."
"The Wi-Fi side needs improvement."
"Lately, chat support has a longer waiting time."
"I'd like to see better pricing and more integration in the next release."
"The dashboard could be improved. It would be helpful to get a view of specific things that we need to monitor for our application."
"The solution should provide alerts for cloud outages."
"We need more visibility into the error tracking dashboard."
"Datadog could always lower the price!"
"Its pricing model can be improved. Its settings should be improved for a better understanding of billing. They should also provide some alerts when there is an increase in the usage. For example, if there is 20% more increase from one week to another, the customer should get an alert."
"The installation is easy for me. However, if you are new to this solution it might not be so easy."
"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."
"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."
"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."
"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."
"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."
"While the product is scalable, it's not easy to scale. It needs investment hardware and network bandwidth consideration. It's not something you can just do overnight."
"Overall, the Corvil device needs a little bit of training for people to handle it. If that could be reduced and made more user-friendly, more intuitive, it would be better."
"Alerting isn't great... you can only put in one email address in. And that's for all kinds of alerting on the box."
Datadog is ranked 2nd in Network Monitoring Software with 137 reviews while Pico Corvil Analytics is ranked 51st in Network Monitoring Software with 9 reviews. Datadog is rated 8.6, while Pico Corvil Analytics is rated 9.0. The top reviewer of Datadog writes "Very good RUM, synthetics, and infrastructure host maps". On the other hand, the top reviewer of Pico Corvil Analytics writes "Helpful support agents, beneficial issue detection, and high availability". Datadog is most compared with Dynatrace, Azure Monitor, New Relic, AWS X-Ray and Elastic Observability, whereas Pico Corvil Analytics is most compared with NETSCOUT nGeniusONE, Gigamon Deep Observability Pipeline, ITRS Geneos and ThousandEyes. See our Datadog vs. Pico Corvil Analytics report.
See our list of best Network Monitoring Software 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.
