Pico Corvil Analytics vs Vectra AI comparison

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Pico Corvil Analytics

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Executive Summary

We performed a comparison between Pico Corvil Analytics and Vectra AI based on real PeerSpot user reviews.

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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

Ranking in other categories

Network Monitoring Software (70th)

Vectra AI

Average Rating

8.6

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

Intrusion Detection and Prevention Software (IDPS) (4th), Network Detection and Response (NDR) (2nd), Extended Detection and Response (XDR) (15th), Identity Threat Detection and Response (ITDR) (9th), AI-Powered Cybersecurity Platforms (7th)

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 0.5%, up 0.5% compared to last year.
Vectra AI, on the other hand, focuses on Network Detection and Response (NDR), holds 12.0% mindshare, down 16.1% since last year.

Network Monitoring Software Mindshare Distribution
Product	Mindshare (%)
Pico Corvil Analytics	0.5%
Zabbix	4.3%
SolarWinds NPM	3.6%
Other	91.6%

Network Monitoring Software

Network Detection and Response (NDR) Mindshare Distribution
Product	Mindshare (%)
Vectra AI	12.0%
Darktrace	15.5%
ExtraHop Reveal(x)	6.3%
Other	66.2%

Network Detection and Response (NDR)

Featured Reviews

Ted Hruzd

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.

Read full review

RahulReddy

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.

Read full review

Quotes from Members

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

Pros

"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."

"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."

"Corvil is a great tool; it is the only one of the vendors that has 100% visibility into the market data stream."

"We can use CLI with the UI for configuring the new monitoring system, which is good."

"Corvil is really useful, if you want to produce statistics for your application across different platforms then I would definitely recommend it."

"Broadly speaking, this solution has reduced incident diagnosis times because it is a tool that we don't have elsewhere."

"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."

"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."

More Pico Corvil Analytics pros

"Using this tool for automation has provided more benefits to our processes."

"It is doing some artificial intelligence. If it sees a server doing a lot of things, then it will assume that is normal. So, it is looking for anomalous behavior, things that are out of context which helps us reduce time. Therefore, we don't have to look in all the logs. We just wait for Vectra to say, "This one is behaving strange," then we can investigate that part."

"Some valuable features of Vectra AI are that it is very intuitive and that there are only a small amount of false positives. Therefore, it's an effective solution."

"Vectra has saved us weeks, if not months, in terms of the ability to identify a breach."

"It's easy to manage, and I love the UX. It's very well designed. When we are looking for something, it's quite easy to find it."

"The automatic filtering that they provide is valuable. The logic inside that makes some detections instead of us is very useful. We are confident that if we are just looking into it and there is nothing, nothing could happen."

"Scalability wise, we have many sensors, and Vectra AI seems to handle them all very well."

"The key feature for me for Detect for Office 365 is that it can also concentrate all the information and detection at one point, the same as the network solution does. This is the key feature for me because, while accessing data from Office 365 is possible using Microsoft interfaces, they are not really user-friendly and are quite confusing to use. But Detect for Office 365 is aggregating all the info, and it's only the interesting stuff."

More Vectra AI pros

Cons

"Sometimes, when you are saving any configuration and making changes, there are times something is missing. An error comes up, or sometimes there is no error, and the errors are not very straightforward as to the issue."

"While the product is scalable, it's not easy to scale. It needs investment hardware and network bandwidth consideration."

"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."

"Alerting isn't great... you can only put in one email address in. And that's for all kinds of alerting on the box."

"With the architecture that Corvil is built on, it's cumbersome."

"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."

"Corvil is pretty stable. We just have too much data going into the boxes. Because of that, it requires more maintenance than average."

"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."

More Pico Corvil Analytics cons

"Other alternatives, like Darktrace, have a fancier UI."

"We have a lot of system solutions and integrations with system solutions. Vectra is a type of black box. It implements AI-informed detection mechanisms, but we cannot create system detections. I understand that the product is designed this way, but it would be great if we could create our own detections as well."

"It does a little bit of packet capture on alert so you can look at the packet capture activity going on, but it doesn't collect a whole lot of data. Sometimes it's only one or two frames, sometimes it does collect more. That's why they have the addition of their Recall platform, because that really does help expand the capability."

"It would be commercially beneficial if Vectra AI had something like Darktrace's Antigena Email or something similar to email protection."

"You are always limited with visibility on the host due to the fact that it is a network based tool."

"We have had a few issues with the integration of Vectra AI with EDR. Some filters have not been working. We've also had issues with the brain not being powerful enough."

"Cost-wise, they're not cheap. They were definitely the most expensive option, but you get what you pay for."

"The advantages of the integration are not entirely out-of-the-box. You have to do it manually."

More Vectra AI cons

Pricing and Cost Advice

"As I am working more with Corvil, it looks like it is improving diagnostic times."

"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."

"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."

"Corvil has reduced the time it takes us to isolate root causes."

"It is pricey versus its competitors."

"It's relatively on the pricier side, but when compared to other solutions. It's not the most budget-friendly option, but it can be considered somewhat more cost-effective in comparison to other alternatives."

"The license is based on the concurrent IP addresses that it's investigating. We have 9,800 to 10,000 IP addresses."

"From a licensing perspective, the Vectra detect platform is pretty doable. Also, the hardware prices are nothing that we're not used to. The stream part is a little overpriced compared to the detect part. The reason is that you need to stream data to detect events anyway, so the data is in there. The only thing that's not available is the UI to be able to look at the stream data, which is also on the appliances but is just not activated. That's mainly the thing that we want to improve on."

"The solution is low-cost and affordable."

"From a pricing perspective, they are very commercially competitive. From a licensing perspective, just be conscious that some of their future cloud solutions come with additional subscriptions. Also, if you're outside of the US, you will get charged freight for the device back to your country."

"Vectra AI's pricing is cheaper than that of Darktrace."

"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."

"We are running at about 90,000 pounds per year. The solution is a licensed cost. The hardware that they gave us was pretty much next to nothing. It is the license that we're paying for."

More Vectra AI pricing and cost advice

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Top Industries

By visitors reading reviews

Financial Services Firm

38%

Computer Software Company

Non Profit

Comms Service Provider

Financial Services Firm

10%

Manufacturing Company

Computer Software Company

Government

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	2
Midsize Enterprise	1
Large Enterprise	6

By reviewers
Company Size	Count
Small Business	9
Midsize Enterprise	10
Large Enterprise	29

Questions from the Community

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What do you like most about Vectra AI?

The solution is currently used as a central threat detection and response system.

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What is your experience regarding pricing and costs for Vectra AI?

It is very acceptable when you compare it with Darktrace, for example.

See all answers

What needs improvement with Vectra AI?

Vectra AI could be improved by focusing on all threat types, not only malicious threats or virus threats. All threats, including hacking attempts, should be comprehensively addressed. The user inte...

See all answers

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Product Reports

Pico Corvil Analytics

Download Pico Corvil Analytics product report

Download Vectra AI product report

Also Known As

Corvil

Vectra Networks, Vectra AI NDR

Overview

Pico Corvil Analytics offers advanced capabilities in latency measurement, data analysis, and real-time packet decoding. Its intuitive dashboards and comprehensive analytics support latency management and customizable metrics, enhancing performance monitoring and infrastructure optimization.

Designed to assist in latency monitoring and benchmarking, Pico Corvil Analytics is essential for tracking server and exchange latency, client connectivity, electronic trading environments, and order flows. It provides features like real-time analytics, custom dashboards, and anomaly detection, aiding in transaction scrutiny and market activity predictions. Users note the depth of analytics features, although there is a desire for iHub functionality within the app, simpler configurations, and more intuitive performance analytics and reporting.

What are the core features of Pico Corvil Analytics?

Latency Measurement: Precision tracking for server and exchange latency.
Data Analysis: Granular insights for enhanced trading efficiency.
Real-Time Packet Decoding: Immediate packet analysis for troubleshooting.
Visualization: Advanced dashboards enhancing data communication.
Intelligent Alerts: Proactive performance monitoring and collaborations.

What benefits can users expect from Pico Corvil Analytics?

Enhanced Trading Efficiency: Drives strategic upgrades and operational improvements.
Nuanced Network Analysis: Empowers detailed troubleshooting and network management.
Performance Monitoring: Aids infrastructure optimization through informed decisions.

Pico Corvil Analytics is widely implemented in industries requiring high-performance trading infrastructures, such as financial services and electronic trading environments. It supports users in predicting market activities and ensuring reliable, efficient trade execution. Custom dashboards and real-time analysis provide a competitive edge in these high-stakes arenas.

PICO

Vectra AI offers advanced hybrid network and identity security, detecting threats traditional tools miss. It uses AI to identify lateral attacks and credential misuse, providing a proactive defense for enterprises.

Vectra AI enhances security by using AI-driven detection across network, cloud, and identity layers, surpassing EDR and SIEMs by offering real-time threat detection. It ensures continuous observability and automates SOC workflows to minimize manual efforts, creating an efficient security environment. Its AI-powered approach significantly reduces noise, focusing on true threats, and provides insights into complex threat landscapes, with seamless integration into environments like EDR and Office 365.

What are Vectra AI's key features?

AI-driven detection: Identifies lateral movement and credential misuse across networks.
Continuous observability: Monitors data centers, cloud, SaaS, and OT environments.
SOC automation: Reduces manual processes, lowering analyst fatigue.
Attack Signal Intelligence: Filters noise to deliver relevant alerts quickly.
Network visibility: Provides insight into encrypted traffic and unmanaged assets.

What benefits should users expect?

Improved threat detection: Faster identification of potential threats.
Efficiency in response: Automated processes free resources for high-impact tasks.
Reduced alert fatigue: Intelligent alerts reduce false positives.
Operational integration: Works seamlessly with existing platforms and tools.

Vectra AI is utilized across industries for comprehensive network and anomaly detection. Organizations deploy it for threat hunting and incident response, monitoring both on-premises and cloud activities. By placing sensors across sites, they optimize security practices and streamline their detection processes.

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

Network Monitoring Software