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Marvis Virtual Network Assistant vs Packetbeat 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

Marvis Virtual Network Assi...
Ranking in Network Monitoring Software
49th
Average Rating
9.0
Reviews Sentiment
8.7
Number of Reviews
2
Ranking in other categories
No ranking in other categories
Packetbeat
Ranking in Network Monitoring Software
61st
Average Rating
8.0
Reviews Sentiment
2.5
Number of Reviews
2
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of March 2026, in the Network Monitoring Software category, the mindshare of Marvis Virtual Network Assistant is 0.4%, up from 0.1% compared to the previous year. The mindshare of Packetbeat is 0.2%, up from 0.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Network Monitoring Software Mindshare Distribution
ProductMindshare (%)
Marvis Virtual Network Assistant0.4%
Packetbeat0.2%
Other99.4%
Network Monitoring Software
 

Featured Reviews

PRADIPJOSHI - PeerSpot reviewer
Owner at Shree Atharva Sales Corporation
Used for troubleshooting and receiving real-time alerts and works on artificial intelligence
I always recommend Marvis to every customer because it requires no additional direct involvement. Marvis has been developed well using AI and machine learning technology. Its AI engine updates itself regularly, which is a beneficial feature. I request that Juniper integrate a cloud identity engine and simplify the Microsoft Azure Active Directory Services integration with the SRX hardware firewall. Additionally, the SRX firewall needs a more robust graphical user interface. Currently, we can only configure the SRX using the CLI; if a wrong command is entered, restoring it cannot be easy. Overall, I rate the solution a nine out of ten.
Mohammed-Abdelalim - PeerSpot reviewer
Assistant Vice President at QualityKiosk Technologies Pvt. Ltd.
Network analytics have delivered lightweight, integrated visibility for search, observability, and security
Packetbeat analyzes specific protocols and is not suitable for full capture of all network traffic and network flows. I recall that Packetbeat can cover a limited number of protocols including ICMP, but not as deeply as other solutions. It covers NetFlows and these types of flows, but not at the level of a deep packet capture that you can find in the market where it taps every single packet in the network. Packetbeat is more about bringing statistics about the packets, but it doesn't capture these packets. The development intention of Packetbeat appears to be to provide a window for application monitoring and performance analytics, and for that purpose, it is doing sufficiently well. However, if the vendor has another goal to build a similar network monitoring solution that exists in the market, which is outside of Elastic's business nature, Packetbeat is a sensor that needs to be improved to the level of deep packet capture where it loses no packets in the network. That improvement would take Elastic to another level.

Quotes from Members

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

Pros

"If you ask any questions about Marvis, it will respond immediately and use some solution. It will be very easy and save you time."
"Marvis Virtual Network Assistant uses AI to find problems or to get information from devices."
"The beauty of Packetbeat is that it is easy, free, and lightweight, while other solutions are expensive and will accumulate a huge amount of data."
"Elastic's scalability, in terms of cluster robustness, is definitely the most valuable feature."
 

Cons

"It should add real-time application visibility."
"It would be a good idea to integrate the solution to support other vendors besides Juniper."
"Packetbeat analyzes specific protocols and is not suitable for full capture of all network traffic and network flows."
"The scalability of the agent itself could be improved."
 

Pricing and Cost Advice

"Marvis Virtual Network Assistant is not an expensive solution."
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Top Industries

By visitors reading reviews
Healthcare Company
20%
Retailer
10%
Manufacturing Company
10%
Construction Company
9%
No data available
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
No data available
 

Questions from the Community

What is your experience regarding pricing and costs for Marvis Virtual Network Assistant?
Marvis Virtual Network Assistant is not an expensive solution. On a scale from one to ten, where one is cheap and ten is expensive, I rate the solution's pricing a seven out of ten.
What needs improvement with Marvis Virtual Network Assistant?
It should add real-time application visibility. Marvis's interface is good. We don't need any additional interface. However, if it could accept voice commands, that would be a great improvement
What is your primary use case for Marvis Virtual Network Assistant?
It is mainly used for troubleshooting and receiving real-time alerts. Marvis makes it easy to track the issue by providing specific information, like the exact time the connection was lost. It simp...
What is your experience regarding pricing and costs for Packetbeat?
Elastic is pretty cheap for large enterprises but unaffordable for small ones.
What needs improvement with Packetbeat?
Packetbeat analyzes specific protocols and is not suitable for full capture of all network traffic and network flows. I recall that Packetbeat can cover a limited number of protocols including ICMP...
What is your primary use case for Packetbeat?
I have dealt with all of them: Elasticsearch, Kibana, Logstash, Beats, Elastic Agent, and Fleet, because I need to use all of them to achieve a solution for customers. These solutions are typically...
 

Overview

Find out what your peers are saying about Marvis Virtual Network Assistant vs. Packetbeat and other solutions. Updated: March 2026.
885,311 professionals have used our research since 2012.