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Datadog vs Pico Corvil Analytics comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Oct 19, 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
7.0
Number of Reviews
209
Ranking in other categories
Application Performance Monitoring (APM) and Observability (1st), IT Infrastructure Monitoring (2nd), Log Management (3rd), Container Monitoring (2nd), Cloud Monitoring Software (2nd), AIOps (1st), Cloud Security Posture Management (CSPM) (5th), AI Observability (1st)
Pico Corvil Analytics
Ranking in Network Monitoring Software
72nd
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 December 2025, in the Network Monitoring Software category, the mindshare of Datadog is 2.5%, down from 3.9% compared to the previous year. The mindshare of Pico Corvil Analytics is 0.5%, up from 0.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Network Monitoring Software Market Share Distribution
ProductMarket Share (%)
Datadog2.5%
Pico Corvil Analytics0.5%
Other97.0%
Network Monitoring Software
 

Featured Reviews

Dhroov Patel - PeerSpot reviewer
Site Reliability Engineer at Grainger
Has improved incident response with better root cause visibility and supports flexible on-call scheduling
Datadog needs to introduce more hard limits to cost. If we see a huge log spike, administrators should have more control over what happens to save costs. If a service starts logging extensively, I want the ability to automatically direct that log into the cheapest log bucket. This should be the case with many offerings. If we're seeing too much APM, we need to be aware of it and able to stop it rather than having administrators reach out to specific teams. Datadog has become significantly slower over the last year. They could improve performance at the risk of slowing down feature work. More resources need to go into Fleet Automation because we face many problems with things such as the Ansible role to install Datadog in non-containerized hosts. We mainly want to see performance improvements, less time spent looking at costs, the ability to trust that costs will stay reasonable, and an easier way to manage our agents. It is such a powerful tool with much potential on the horizon, but cost control, performance, and agent management need improvement. The main issues are with the administrative side rather than the actual application.
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

"The solution has improved the organization by providing good insights into app performance and offering good dashboards."
"The logging in general is one of my favorite features."
"The management of SLOs and their related burn-rate monitors have allowed us to onboard teams to on-call fast."
"Straightforward to integrate and automate."
"Datadog is providing efficiency in the products we develop for the wireless device engineering department."
"The most valuable aspects of the product include the APM and profiler."
"Since we integrated Datadog, we have had increased confidence in the quality of our service, and we had an easier time increasing our delivery velocity."
"We've been able to glean from the monitors what servers are down, and can alert the team in Slack."
"We can use CLI with the UI for configuring the new monitoring system, which is good."
"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 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."
"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."
"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."
"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'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..."
 

Cons

"We need more integration with security tools like Drata."
"The wide range of products Datadog now offers can be a bit intimidating to developers."
"Graph filters for logs need to be set manually which works well for JSON but not for unstructured logs."
"The documentation leaves a lot to be desired for new users."
"The incident management beta looks promising, but it is still missing the ability to automatically create incidents based on certain alerts."
"Managing dashboards as IaC is a bit hard to work out at times."
"We have contact with many customers that cover many areas, so we have cases where the infrastructure administration could be improved."
"When the logs are too big, and Datadog splits them, the JSON format breaks and it is not so useful for us."
"Alerting isn't great... you can only put in one email address in. And that's for all kinds of alerting on the box."
"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."
"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."
"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."
"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."
"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."
 

Pricing and Cost Advice

"It didn't scale well from the cost perspective. We had a custom package deal."
"While it is an expensive product, I would rate the pricing level at four out of five."
"The solution's pricing depends on project volume."
"It is easy to run up a large bill, so become familiar with the cost of each piece of your bill and use the metrics they supply to estimate and monitor your bill."
"It costs the same amount it would if we were hosting it ourselves, so we are incredibly happy with the cost."
"Pricing seemed easy until the bill came in and some things were not accounted for."
"At my last company, we did see ROI, specifically around response time. We could get to mission critical things that were down and losing revenue on immediately. So, the product paid itself back."
"I am not satisfied with its licensing. Its payment is based on the exported data, and there was an explosion of the data for three or four weeks. My customer was not alerted, and there was no way for them to see that there has been an explosion of data. They got a big invoice for one or two months. The pricing model of Datadog is based on the data. The customer was quite surprised about not being alerted about this explosion of data. They should provide some kind of alert when there is an increase in usage."
"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."
"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."
"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."
"It is pricey versus its competitors."
"The pricing is very expensive. Corvil could work on the pricing."
"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."
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Top Industries

By visitors reading reviews
Financial Services Firm
14%
Computer Software Company
13%
Manufacturing Company
7%
Healthcare Company
6%
Financial Services Firm
46%
Computer Software Company
12%
Non Profit
6%
Comms Service Provider
5%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business80
Midsize Enterprise46
Large Enterprise98
By reviewers
Company SizeCount
Small Business2
Midsize Enterprise1
Large Enterprise6
 

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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: December 2025.
879,310 professionals have used our research since 2012.