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Datadog vs Pico Corvil Analytics comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Apr 6, 2025

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

Datadog
Ranking in Network Monitoring Software
3rd
Average Rating
8.6
Reviews Sentiment
7.1
Number of Reviews
187
Ranking in other categories
Application Performance Monitoring (APM) and Observability (1st), IT Infrastructure Monitoring (2nd), Log Management (3rd), Container Monitoring (1st), Cloud Monitoring Software (1st), AIOps (1st), Cloud Security Posture Management (CSPM) (8th)
Pico Corvil Analytics
Ranking in Network Monitoring Software
73rd
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 May 2025, in the Network Monitoring Software category, the mindshare of Datadog is 3.4%, down from 4.7% compared to the previous year. The mindshare of Pico Corvil Analytics is 0.5%, up from 0.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Network Monitoring Software
 

Featured Reviews

Kevin Palmer - PeerSpot reviewer
Useful log aggregation and management with helpful metrics aggregation
Datadog provides us value in three major ways: First, Datadog provides best-in-class functionality in many, if not all, of the products to which we subscribe (infrastructure, APM, log management, serverless, synthetics, real user monitoring, DB monitoring). In my experience with other tools that provide similar functionality, Datadog provides the largest feature set with the most flexibility and the best performance. Second, Datadog allows us to access all of those services in one place. Having to learn and manage only one tool for all of those purposes is a major benefit. Third, Datadog provides significant connectivity between those services so that we can view, summarize, organize, translate and correlate our data with maximum effect. Not needing to manually integrate them to draw lines between those pieces of information is a huge time savings for us.
Ted Hruzd - PeerSpot reviewer
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 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."
"The dashboards provide a comprehensive and visually intuitive way to monitor all our key data points in real-time, making it easier to spot trends and potential issues."
"The many dozens of integrations that the solution brings out of the box are excellent."
"The RUM solution has improved our ability to triage faster and hand more capabilities to our customer support."
"Using the data, our operation teams works with the dashboards to get their statistics, analytics, etc."
"It has a high-level insight into the infrastructure model of the application and provides important detailed data on the host and metrics, which is the main concern of our customers."
"Thanks to frequent concurrent deployments, the DataDog alerts monitors allow us quickly detect issues if anything occurs."
"Datadog's learning platform is second to none."
"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."
"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..."
"We can use CLI with the UI for configuring the new monitoring system, which is good."
"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."
"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 like the dashboards because they essentially organize all the sessions into one viewpoint."
 

Cons

"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."
"A big problem with Datadog is the billing. They need to make the billing more user-friendly."
"I like the idea of monitoring on the go, however, it seems the options are still a bit limited out of the box."
"The menu on the left is pretty dense (and I know it has to be). I never knew about the cmd+k functionality until recently. It would be helpful to offer more tips/cheat sheets to see handy shortcuts like that."
"More pre-configured "Monitor Alerts" would be helpful."
"Once agents are connected to the Datadog portal, we should be able to upgrade them quickly."
"We would like to see some versioning system for the Synthetic Tests so that we could have a backup of our tests since they are time-consuming to make and very easy to damage in a moment of error."
"Datadog could be improved if it could detect other software in a container or server."
"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."
"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."
"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."
"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."
"Alerting isn't great... you can only put in one email address in. And that's for all kinds of alerting on the box."
"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."
"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."
"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."
 

Pricing and Cost Advice

"The solution's pricing depends on project volume."
"It has a module-based pricing model."
"The price is better than some competing products."
"It costs the same amount it would if we were hosting it ourselves, so we are incredibly happy with the cost."
"The solution is fairly priced but history and log storage can get costly depending on your needs."
"It has always scaled for us. Cost scales up too, but that is not necessarily a bad thing. It's reasonable for what they're providing."
"Datadog does not provide any free plans to use the solution. When I start with a proof of concept it would be sensible to have a free plan to test the tool and check whether it fits the requirements of the project. Before the production stage, it is always good to have a free plan with some limited features, number of requests, or logs."
"Pricing is somewhat affordable compared to other solutions but in order to really lower the costs of other products you need to plan very carefully your resources usage, otherwise, it can get expensive real quick."
"It is pricey versus its competitors."
"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."
"Corvil has reduced the time it takes us to isolate root causes."
"As I am working more with Corvil, it looks like it is improving diagnostic times."
"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."
"The pricing is very expensive. Corvil could work on the pricing."
"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."
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Top Industries

By visitors reading reviews
Educational Organization
27%
Computer Software Company
12%
Financial Services Firm
11%
Manufacturing Company
6%
Financial Services Firm
55%
Computer Software Company
11%
Manufacturing Company
6%
Educational Organization
5%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

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Also Known As

No data available
Corvil
 

Overview

 

Sample Customers

Adobe, Samsung, facebook, HP Cloud Services, Electronic Arts, salesforce, Stanford University, CiTRIX, Chef, zendesk, Hearst Magazines, Spotify, mercardo libre, Slashdot, Ziff Davis, PBS, MLS, The Motley Fool, Politico, Barneby's
NASDAQ, Commerzbank, Pico Quantitative Trading, CME Group, Interactive Data, Tokyo Stock Exchange Inc.
Find out what your peers are saying about Datadog vs. Pico Corvil Analytics and other solutions. Updated: April 2025.
851,604 professionals have used our research since 2012.