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New Relic vs Pico Corvil Analytics comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Oct 10, 2024

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Categories and Ranking

New Relic
Ranking in Network Monitoring Software
9th
Average Rating
8.4
Reviews Sentiment
6.9
Number of Reviews
175
Ranking in other categories
Application Performance Monitoring (APM) and Observability (4th), IT Infrastructure Monitoring (9th), IT Operations Analytics (3rd), Mobile APM (2nd), Cloud Monitoring Software (3rd), AIOps (4th)
Pico Corvil Analytics
Ranking in Network Monitoring Software
70th
Average Rating
9.0
Reviews Sentiment
7.1
Number of Reviews
9
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of June 2026, in the Network Monitoring Software category, the mindshare of New Relic is 1.4%, down from 2.0% compared to the previous year. The mindshare of Pico Corvil Analytics is 0.6%, up from 0.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Network Monitoring Software Mindshare Distribution
ProductMindshare (%)
New Relic1.4%
Pico Corvil Analytics0.6%
Other98.0%
Network Monitoring Software
 

Featured Reviews

BasilJiji - PeerSpot reviewer
System engineer at a retailer with 10,001+ employees
Real-time alerts have reduced server outage impact and support fast incident response
In the dashboard, if they could show a little more metrics regarding the application and related things, that would be how New Relic could be improved. Currently, there are things showing from the server level and application level, but it can be improved. That is what I felt. Regarding user interface, I do not feel much concern, but for some kind of issues when we are trying to get support from the New Relic team, their SLA seems to be long. They are taking seven to ten working days for resolving some kind of scenario or issue. That is a bit difficult for us. If they could improve the customer support by reducing their SLA within three to five days, if they could remediate everything, that will be so much helpful. When it comes to the customer support part, I felt they need to be a little more improved on that part. The support overall is good, but they can improve. That is the reason I have given it eight out of ten.
Ted Hruzd - PeerSpot reviewer
Founder at AI Fit LLC
Helpful support agents, beneficial issue detection, and high availability
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 product suite could benefit from more out-of-the-box predictive analytics capabilities, such as projecting market or symbol movements. However, it is unclear whether the vendor currently provides this functionality. Users may need to adjust their software to perform such analysis independently.

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"It has helped my organization to dive deeper into the application using the APM module is very helpful."
"The API functionality allows us to get hit counts from external sources, such as APIs or databases, and everything is mapped very clearly."
"The technical support is quite good."
"I feel like it’s the best-in-class, and its differentiator is aggregation and the speed at which you can query large amounts of data."
"It helps me to identify root cause on the code level issues."
"With the metrics from New Relic, we can improve the performance and reduce the downtime because we can identify problems and solve them more quickly."
"The solution is an excellent product for time series and operation analyses."
"New Relic is suitable for banking domains, investment brokerage products, or anything related to high-security data, and it works as a whole monitoring solution, including logging, monitoring, and application profiling tools."
"In the sense that it helps us identify performance issues, it does give us a performance advantage over competitors."
"We use the data to analyze how much time we spend within the applications. Then, based on that, we are doing multiple analyses and types of investigations to work on reducing the amount of time spent on the latency, which helps our applications."
"It is a market leader in latency detection and monitoring with extremely precise time stamping even over a wide area."
"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."
"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..."
"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..."
"We like the dashboards because they essentially organize all the sessions into one viewpoint."
"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."
 

Cons

"Sometimes we've noticed agents fail to report/respond."
"From a point of view of showing you what to do fine but in terms of showing you what to do with the data infuriatingly unhelpful."
"It would have been great had it provided thread-dump analysis and a few additional JVM-related stats."
"New Relic needs to improve is the user data schema."
"The main reason we switched away from New Relic is that the cost is too high."
"Some of our customers see New Relic as a promising product to have, and we would like to deliver it to them. The only way we would be able to do that would be if we had server appliance for clients that we could install in their data centres."
"Some AIOps are missing in New Relic APS, and I would like to see more features in this area."
"One thing that we noticed was that historical information was only for a limited period, which was not helpful in certain scenarios."
"Alerting isn't great... you can only put in one email address in. And that's for all kinds of alerting on the box."
"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 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."
"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."
"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."
"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."
"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."
 

Pricing and Cost Advice

"This is an expensive tool."
"The pricing is okay comparatively their competitors. The only concern was whether it should be purchased on demand or bring your own license, and which way passes some savings onto the end customers."
"Purchasing through the AWS Marketplace was easy. The product is easy to deploy and manage, which is why our company purchased through the AWS Marketplace."
"This solution required a license and it is better than some other competitors."
"The detection piece of it brings us a big return on investment."
"The pricing and licensing are too high."
"They gave us aggressive discounts when they were brought in for the first time, but they have also kept them for the year-on-year renewals, which has been absolutely fine."
"We spend somewhere around $5,000 to $6,000 per month with an annual recommitment of maybe $60,000. These are just ballpark figures."
"The pricing is very expensive. Corvil could work on the pricing."
"We bought a box from Corvil and it was $200,000 for one big CNE. Then there are obviously the recurring maintenance fees. The licensing is perpetual but the maintenance fees are not."
"I like the way they've decoupled the hardware now... Everything's based on the licensing side now. The way they do the packs is fair. It's very flexible in that we're not charged per decoder, we're charged for a certain pack. Whether we use one decoder or 20 decoders, as long as they're in the same pack, there's no extra charge. Expensive but fair is how I'd summarize it."
"As I am working more with Corvil, it looks like it is improving diagnostic times."
"Corvil has reduced the time it takes us to isolate root causes."
"It is pricey versus its competitors."
"Pico Corvil Analytics is expensive. There are several competitors in the market. Selling this solution to a trading firm might be challenging as there are several other solutions available that can perform basic similar operations, such as using Wireshark and Python scripts to obtain the required values. However, that does not nearly approach the comprehensive end-2-end automated depth of metrics and their correlations that Pico Corvil Analytics provides."
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Top Industries

By visitors reading reviews
Financial Services Firm
14%
Manufacturing Company
9%
Computer Software Company
8%
Outsourcing Company
7%
Financial Services Firm
34%
Computer Software Company
8%
Comms Service Provider
5%
Outsourcing Company
5%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business65
Midsize Enterprise51
Large Enterprise79
By reviewers
Company SizeCount
Small Business2
Midsize Enterprise1
Large Enterprise6
 

Questions from the Community

Any advice about APM solutions?
There are many factors and we know little about your requirements (size of org, technology stack, management systems, the scope of implementation). Our goal was to consolidate APM and infra monitor...
What needs improvement with New Relic Insights?
While I appreciate many aspects of New Relic, I believe the product could improve in some areas—specifically, some advanced capabilities can have a learning curve for new users, and the licensing a...
What is your primary use case for New Relic Insights?
Since I'm a performance engineer, I typically use New Relic day-to-day for investigating any performance bottlenecks identified during our performance testing of any application. I look at the resu...
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Also Known As

New Relic Browser, New Relic Applied Intelligence, New Relic Insights, New Relic Synthetics, New Relic Servers, New Relic APM
Corvil
 

Overview

 

Sample Customers

World Fuel Services, Verizon, FootLocker, McDonald's, Trainline, Mondia Media, Confused, Costa Coffee, Ryanair, Marks & Spencer, William Hill, Delivery Hero, Skyscanner, BASF, DAZN, Veygo, Virtuo, movingimage, talabat, Australia Post, Tokopedia, Seven Network, Virgin Australia, Zomato, BigBasket, Mercado Libre, Lending Club
NASDAQ, Commerzbank, Pico Quantitative Trading, CME Group, Interactive Data, Tokyo Stock Exchange Inc.
Find out what your peers are saying about New Relic vs. Pico Corvil Analytics and other solutions. Updated: June 2026.
900,644 professionals have used our research since 2012.