Try our new research platform with insights from 80,000+ expert users

Pico Corvil Analytics vs Vectra AI comparison

 

Comparison Buyer's Guide

Executive Summary

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

Pico Corvil Analytics
Average Rating
9.0
Reviews Sentiment
7.1
Number of Reviews
9
Ranking in other categories
Network Monitoring Software (73rd)
Vectra AI
Average Rating
8.6
Reviews Sentiment
7.0
Number of Reviews
47
Ranking in other categories
Intrusion Detection and Prevention Software (IDPS) (5th), Network Detection and Response (NDR) (2nd), Extended Detection and Response (XDR) (15th), Identity Threat Detection and Response (ITDR) (11th), AI-Powered Cybersecurity Platforms (6th)
 

Mindshare comparison

Pico Corvil Analytics and Vectra AI aren’t in the same category and serve different purposes. Pico Corvil Analytics is designed for Network Monitoring Software and holds a mindshare of 0.6%, up 0.5% compared to last year.
Vectra AI, on the other hand, focuses on Intrusion Detection and Prevention Software (IDPS), holds 7.6% mindshare, down 8.1% since last year.
Network Monitoring Software Market Share Distribution
ProductMarket Share (%)
Pico Corvil Analytics0.6%
Zabbix6.9%
SolarWinds NPM3.4%
Other89.1%
Network Monitoring Software
Intrusion Detection and Prevention Software (IDPS) Market Share Distribution
ProductMarket Share (%)
Vectra AI7.6%
Fortinet FortiGate13.9%
Darktrace12.2%
Other66.3%
Intrusion Detection and Prevention Software (IDPS)
 

Featured Reviews

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.
RR
Consultant at a retailer with 5,001-10,000 employees
Threat detection has improved and malicious emails are now identified quickly
Vectra AI offers artificial intelligence capabilities with visibility that can be integrated into our day-to-day operations and other tools, including malware detection tools and cyber threat tools. Vectra AI has positively impacted my organization. Last year while using it, we received many malicious email threats and virus incidents, including a trojan virus that had reportedly been deployed by someone. Our company used Vectra AI to detect the malicious threats and viruses before they could cause more damage, and we successfully stopped the threats. Using Vectra AI, I notice that server downtime has decreased significantly. We now experience only two to three hours of downtime, whereas without Vectra AI and other tools, our downtime would exceed 48 to 72 hours.

Quotes from Members

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

Pros

"We like the dashboards because they essentially organize all the sessions into one viewpoint."
"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."
"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."
"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."
"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."
"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."
"One of the most valuable features is all the correlation that it does using AI and machine learning. An example would be alerting on a host and then alerting on other things, like abnormal behavior, that it has noticed coming from the same host. It's valuable because we're a very lean team."
"What I like best about Vectra AI is that it alerts you about suspicious activities."
"One of the most valuable features of the platform is its ability to provide you with aggregated risk scores based on impact and certainty of threats being detected. This is both applied to individual and host detections. This is important because it enables us to use this platform to prioritize the most likely imminent threats. So, it reduces alert fatigue follow ups for security operation center analysts. It also provides us with an ability to prioritize limited resources."
"One of the key advantages for us is we define a 24/7 service around it. We use far more of Vectra alerts than we do with our SIEM product because we understand that when we get an alert from Vectra we actually need to do something about it."
"The dashboard gives me a scoring system that allows me to prioritize things that I should look at. I may not necessarily care so much about one event, whereas if I have a single botnet detection or a brute force attack, I really want to get on top of those."
"We often use the new feature to create PCAP files from the whole data traffic. It makes it much easier to find network problems such as whether the server is responding to a request. It has nothing to do with security, but it helps a lot to find other problems."
"The most useful feature is the anomaly detection because it's not signature-based. It picks up the initial part of any attack, like the recon and those aspects of the kill chain, very well."
"We particularly like the user experience around the dashboard, which we find to be much more straightforward than the dashboard of some of the competitive products... Vectra is a really easy system to understand and use to prioritize where we need to focus our security resources."
 

Cons

"Alerting isn't great... you can only put in one email address in. And that's for all kinds of alerting on the box."
"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 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."
"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."
"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."
"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."
"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."
"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 false positives and the tuning side of it is something that could use improvement. But that could be from our side."
"The reporting from Cognito Detect is very limited and doesn't give you too many options. If I want to prepare a customized report on a particular host, even though I see the data, I have to manually prepare the report. The reporting features that are built into the tool are not very helpful."
"Neither Vectra nor Darktrace have a function like a status health check on my log sources and traffic sources."
"Some of their integrations with other sources of data, like external threat feeds, took a bit more work than I had hoped to get integrated."
"The solution needs to become more proactive. When Vectra AI is the primary solution in an environment - like it is in our case - you must work on response time. We have a small team so response time at endpoint level is vital."
"One thing which I have found where there could be improvement is with regard to the architecture, a little bit: how the brains and sensors function. It needs more flexibility with regard to the brain. If there were some flexibility in that regard, that would be helpful, because changing the mode of the brain is complex. In some cases, the change is permanent. You cannot revert it."
"An area for improvement in Vectra AI is reporting because it currently needs some details. For example, when you download a report from Vectra AI, you won't see complete information about the alerts or triggers. Another area for improvement in the tool is that sometimes, an alert has high severity, yet it's marked as low severity. Vectra AI should have a mechanism to change the severity level from low to high or critical."
"Neither Vectra nor Darktrace have a function like a status health check on my log sources and traffic sources."
 

Pricing and Cost Advice

"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."
"As I am working more with Corvil, it looks like it is improving diagnostic times."
"The pricing is very expensive. Corvil could work on the pricing."
"Corvil has reduced the time it takes us to isolate root causes."
"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."
"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."
"Vectra AI's pricing is cheaper than that of Darktrace."
"The pricing is very good. It's less expensive than many of the tools out there."
"It is an expensive solution, but it's not the most expensive we've seen. We also know how much we're going to pay, unlike with some other providers where all of a sudden our license explodes."
"Their licensing model is antiquated. I'm not a fan of their licensing model. We have to pay for licensing based on four different things. You have to pay based on the number of unique IPs, the number of logs that we send through Recall and Stream, and the size of our environment. They need to simplify their licensing down to just one thing. It should be based on the amount of data, the number of devices, or something else, but there should be just one thing for everything. That's what they need to base their licensing on. Cost-wise, they're not cheap. They were definitely the most expensive option, but you get what you pay for. They're not the cheapest option."
"My company pays for the Vectra AI licensing fee yearly. I know the figure because my company recently renewed the license, and it's okay, at least for the financial sector."
"Vectra is a bit on the higher side in terms of price, but they have always been transparent. The reason that they are this good is that they invest, so they need to charge accordingly."
"Its cost is too much. It's an investment that we can afford. It's a lot, but it's worth it."
"At the time of purchase, we found the pricing acceptable. We had an urgency to get something in place because we had a minor breach that occurred at the tail end of 2016 to the beginning of 2017. This indicated we had a lack of ability to detect things on the network. Hence, why we moved quickly to get into the tool in place. We found things like Bitcoin mining and botnets which we closed quickly. In that regard, it was worth the money."
report
Use our free recommendation engine to learn which Network Monitoring Software solutions are best for your needs.
879,425 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Financial Services Firm
46%
Computer Software Company
12%
Non Profit
6%
Comms Service Provider
5%
Computer Software Company
11%
Financial Services Firm
10%
Manufacturing Company
8%
Government
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business2
Midsize Enterprise1
Large Enterprise6
By reviewers
Company SizeCount
Small Business9
Midsize Enterprise10
Large Enterprise29
 

Questions from the Community

Ask a question
Earn 20 points
What is the biggest difference between Corelight and Vectra AI?
The two platforms take a fundamentally different approach to NDR. Corelight is limited to use cases that require the eventual forwarding of events and parsed data logs to a security team’s SIEM or ...
What do you like most about Vectra AI?
The solution is currently used as a central threat detection and response system.
What is your experience regarding pricing and costs for Vectra AI?
It is very acceptable when you compare it with Darktrace, for example.
 

Also Known As

Corvil
Vectra Networks, Vectra AI NDR
 

Overview

 

Sample Customers

NASDAQ, Commerzbank, Pico Quantitative Trading, CME Group, Interactive Data, Tokyo Stock Exchange Inc.
Tribune Media Group, Barry University, Aruba Networks, Good Technology, Riverbed, Santa Clara University, Securities Exchange, Tri-State Generation and Transmission Association
Find out what your peers are saying about Zabbix, Auvik, Datadog and others in Network Monitoring Software. Updated: November 2025.
879,425 professionals have used our research since 2012.