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 (68th)

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) (16th), Identity Threat Detection and Response (ITDR) (11th), AI-Powered Cybersecurity Platforms (8th)

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 0.4% compared to last year.
Vectra AI, on the other hand, focuses on Network Detection and Response (NDR), holds 11.2% mindshare, down 16.1% since last year.

Network Monitoring Software Mindshare Distribution
Product	Mindshare (%)
Pico Corvil Analytics	0.6%
Zabbix	4.1%
SolarWinds NPM	3.7%
Other	91.6%

Network Monitoring Software

Network Detection and Response (NDR) Mindshare Distribution
Product	Mindshare (%)
Vectra AI	11.2%
Darktrace	14.8%
ExtraHop Reveal(x)	6.1%
Other	67.9%

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

"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."

"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 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."

"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 is a market leader in latency detection and monitoring with extremely precise time stamping even over a wide area."

"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."

More Pico Corvil Analytics pros

"The fact that we get the visualization of what's happening on our network, which is a way of improving our security in-depth is most valuable."

"The solution's ability to reduce alerts, by rolling up numerous alerts to create a single incident or campaign, helps in that it collapses all the events to a particular host, or a particular detection to a set of hosts. So it doesn't generate too many alerts. By and large, whatever alerts it generates are actionable, and actionable within the day."

"The UI is easy to use and when we send detection to everybody, they easily understand what we are asking at the time."

"Vectra AI enables you to see more; it is their visibility strength that makes the platform so great."

"We have been extremely happy with the solution; it's been one of the best solutions we have in our enterprise and I would put it at the top of the list."

"Vectra AI generates relevant information."

"Our company used Vectra AI to detect the malicious threats and viruses before they could cause more damage, and we successfully stopped the threats."

"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."

More Vectra AI pros

Cons

"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."

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

"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."

"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."

"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."

"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 is perceived as an expensive option, even in the financial services sector."

More Pico Corvil Analytics cons

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

"I would like to see data processed onshore. Right now, the cloud components, like Office 365, must be processed on servers outside of Australia. I would like to see a future adoption of onshore processing."

"I'd like to be able to get granular reports and to be able to output them into formats that are customizable and more useful. The reporting GUI is lacking."

"Vectra AI could be improved by focusing on all threat types, not only malicious threats or virus threats."

"There is room for improvement in the documentation. We would like to have more details on how it detects what we see."

"I would like to see a bit more strategic metrics instead of technical data. Information that I could show to my executive management team or board would be valuable."

"Vectra is still limited to packet management. It's only monitoring packet exchanges. While it can see a lot of things, it can't see everything, depending on where it's deployed. It has its limits and that's why I still have my SIEM."

"The false positives and the tuning side of it are some things that could use improvement but that could be from our side."

More Vectra AI cons

Pricing and Cost Advice

"It is pricey versus its competitors."

"The pricing is very expensive. Corvil could work on the pricing."

"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."

"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 licensing is on an annual basis."

"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."

"Its cost is too much. It's an investment that we can afford. It's a lot, but it's worth it."

"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."

"The solution is low-cost and affordable."

"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."

"Vectra's pricing is too high. All schools will not be able to afford it. Vectra will only end up targeting higher education and higher value independence purely because of the price. A lot of schools would love to have a product like Vectra AI, but they simply can't because they struggle to even pay the high E5 licensing from Microsoft. When you're up against that, Vectra AI is never going to be within the sector's price range."

"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."

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%

Computer Software Company

Manufacturing 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	10
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

Comparisons

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ExtraHop Reveal(x) vs Pico Corvil Analytics

Compared 7% of the time

cPacket cClear vs Pico Corvil Analytics

Compared 6% of the time

Great Bay vs Pico Corvil Analytics

Compared 6% of the time

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Compared 17% of the time

ExtraHop Reveal(x) vs Vectra AI

Compared 5% of the time

Cisco Secure Network Analytics vs Vectra AI

Compared 4% of the time

Rapid7 InsightIDR vs Vectra AI

Compared 4% of the time

Fortinet FortiNDR vs Vectra AI

Compared 3% of the time

More Vectra AI Competitors

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