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Datadog vs Pico Corvil Analytics comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Jan 25, 2026

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 (4th), Container Monitoring (1st), Cloud Monitoring Software (1st), AIOps (1st), Cloud Security Posture Management (CSPM) (5th), AI Observability (1st)
Pico Corvil Analytics
Ranking in Network Monitoring Software
71st
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 March 2026, in the Network Monitoring Software category, the mindshare of Datadog is 2.6%, down from 3.6% 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 Mindshare Distribution
ProductMindshare (%)
Datadog2.6%
Pico Corvil Analytics0.5%
Other96.9%
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 feature I have found most valuable is when I can reuse existing monitors and alerts for new dashboards."
"Datadog has positively impacted my organization by making finding and resolving issues a lot easier and efficient."
"The ability to create custom dashboards has been incredibly useful, allowing us to visualize key metrics and KPIs in a way that makes sense for different teams and stakeholders."
"Because of our client focus, it is easy for us to sell. This is because it is easy to use and easy to set up."
"Datadog is constantly adding new features."
"The most valuable feature I have found is the elastic container service."
"The many dozens of integrations that the solution brings out of the box are excellent."
"We have way more observability than what we had before - on the application and the overall system."
"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..."
"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."
"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'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 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."
"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."
"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."
 

Cons

"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."
"We'd like to see more advanced incident management capabilities integrated directly into the platform."
"The setup was a bit complex."
"Lately, chat support has a longer waiting time."
"At times, it can be hard to generate metrics out of logs."
"We have found that some of the different options for filtering for logs ingestion, APM traces and span ingestion, and RUM sessions vs replay settings can be hard to discover and tough to determine how to adjust and tweak for both optimal performance and monitoring as well as for billing within the console."
"When it comes to storing the logs with Datadog, I'm not sure why it costs so much to store gigabytes or terabytes of information when it's a fraction of the cost to do so myself."
"While the documentation is very good, there are areas that need a lot of focus to pick up on the key details."
"Alerting isn't great... you can only put in one email address in. And that's for all kinds of alerting on the box."
"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."
"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 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."
"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."
"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."
 

Pricing and Cost Advice

"If you do your homework, you'll find that if you're really concerned with cost, it's good."
"The solution is fairly priced but history and log storage can get costly depending on your needs."
"The tool is open-source."
"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."
"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."
"This solution is budget friendly."
"​Pricing seems reasonable. It depends on the size of your organization, the size of your infrastructure, and what portion of your overall business costs go toward infrastructure."
"Pricing seemed easy until the bill came in and some things were not accounted for."
"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."
"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."
"The pricing is very expensive. Corvil could work on the pricing."
"It is pricey versus its competitors."
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Top Industries

By visitors reading reviews
Financial Services Firm
14%
Computer Software Company
10%
Manufacturing Company
8%
Healthcare Company
6%
Financial Services Firm
42%
Computer Software Company
9%
Non Profit
5%
Comms Service Provider
5%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business81
Midsize Enterprise46
Large Enterprise99
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: March 2026.
884,873 professionals have used our research since 2012.