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NetMon vs ScienceLogic comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Jul 24, 2025

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

NetMon
Ranking in Network Monitoring Software
58th
Average Rating
7.6
Reviews Sentiment
7.7
Number of Reviews
11
Ranking in other categories
Identity Threat Detection and Response (ITDR) (14th)
ScienceLogic
Ranking in Network Monitoring Software
25th
Average Rating
8.6
Reviews Sentiment
7.0
Number of Reviews
46
Ranking in other categories
Event Monitoring (6th), Unified Communications Monitoring (1st), Server Monitoring (12th), IT Infrastructure Monitoring (20th), IT Operations Analytics (7th), Cloud Monitoring Software (16th), AIOps (9th)
 

Mindshare comparison

As of August 2025, in the Network Monitoring Software category, the mindshare of NetMon is 0.3%, down from 0.4% compared to the previous year. The mindshare of ScienceLogic is 1.2%, down from 1.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Network Monitoring Software
 

Featured Reviews

AshishDubey - PeerSpot reviewer
A stable and scalable tool useful for network behavior analysis, DPA, and network forensic services
I have not worked much on LogRhythm NetMon to be able to comment on what needs improvement in the product since there is another team in our company that is working on the solution presently. LogRhythm NetMon's pricing model is an area of concern that should be made a little bit cheaper in comparison to the other players in the market currently. With players like IBM QRadar that propose QNI or Darktrace in the market, LogRhythm NetMon needs to consider a reduction in its pricing model.
Michael Wenn - PeerSpot reviewer
Offers comprehensive monitoring and tool consolidation but integration complexity needs improvement
There is room for improvement in the speed of setting up the service and integrating PowerPacks. Although these prebuilt features are great, there is considerable complexity in bringing them together to create a unified dashboard. Even with many good integrations and deep visibility, the implementation takes time, especially when it doesn't involve these integrations. While some other companies have easier APIs, using this solution demands significant expertise. It's challenging for new customers to implement independently. The implementation speed of non-PowerPack or non-out-of-the-box integrations should be improved. Additionally, the AI automation feature is not yet very rich due to resource constraints supporting a wide platform.

Quotes from Members

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

Pros

"LogRhythm NetMon's most impressive feature is that it's a bundled package, so you're not just relying on monthly data; you get a six-month view for more comprehensive indicators of compromise. This dual approach is precious. We implement LogRhythm NetMon in our cybersecurity strategy mainly for compliance and correlation of network, user, and decision activities, particularly for network firewalls and access control."
"It has a very strong artificial intelligence engine."
"The analytics feature is the most valuable feature."
"Visibility is a valuable feature, the ability to see even if the traffic is not going into the firewall"
"The initial setup is straightforward because we can deploy an open server."
"The most valuable feature is the log, which can be analyzed by our SIEM solution."
"It is a stable solution...It is a scalable solution."
"NetMon's best feature is traffic analysis."
"When it comes to features, the power pack is the most valuable."
"The flexibility to support most technologies. The way ScienceLogic gathers data from multiple sources is vital to our customers. As we work with new customers (often with different technology requirements), ScienceLogic is flexible enough to support our clients’ varying network needs."
"Science Logic provides distributed and all-in-one concept in monitoring, you can easily customize the features in this product."
"The solution excels in three areas: application monitoring, server monitoring, and network performance monitoring."
"One of the valuable features is rapid dashboards."
"I recommend ScienceLogic to other users."
"The power flow is great."
"Dynamic Component Mapping is key and unique."
 

Cons

"I would like to see better integration with multiple products. Integration is not something that is readily available for most of the products."
"Some of the automated tasks we can perform on QRadar cannot be performed on LogRhythm because the solution has limitations."
"There is an issue with tunneling in relation to how the connectivity is established between the end devices and where NetMon is installed. On the console, I often observe that there's a difference of a few seconds or maybe a minute, and this lag time should not be there."
"Sometimes it's hard to find the network devices' self-audit logs."
"The training for this product is not very good and needs to be improved."
"The platform's integration features often need to be improved."
"The main concern is that LogRhythm has not improved NetMon but instead introduced a separate product, which many customers, including us, would prefer to be integrated into a single platform for easier management."
"LogRhythm NetMon's pricing model is an area of concern that should be made a little bit cheaper in comparison to the other players in the market currently."
"It doesn't have the complete application-level topology. It could have service topology and business service monitoring. I would like to see how business service monitoring will function with agent-based installation, and how flexible and business-oriented it is for service modeling and service infrastructure. I have a lot of experience in using business service monitoring, service topology, and service hierarchy functionalities in similar products from BMC and Micro Focus (OpenView), and I want to see how these functionalities will look like in ScienceLogic."
"ScienceLogic could improve the implementation, it could be made easier."
"One important area we feel could be improved is the UI. It takes a lot of clicks to do very simple tasks."
"Integrating observability and APM monitoring into the overall portfolio would be beneficial."
"They should improve their support process and add chat."
"ScienceLogic is working towards a kind of AI, DKAIRA enablement, but I find one dependency is the frequent need to rely on professional services."
"I would like to see out-of-the-box standard dashboards for common services."
"ScienceLogic should provide detailed documents to customer as the current documents are not sufficient."
 

Pricing and Cost Advice

"Pricing is okay. There were some competitors that were extremely expensive and there were some which were really inexpensive but LogRhythm stayed in the middle of them."
"LogRhythm's licensing part is something that depends on the license you want since they offer it on a perpetual and subscription basis."
"The price of this solution is too high, so it should be made more practical and more valuable for the customer."
"I don't have visibility into the pricing of LogRhythm NetMon as it's handled through our commercial partnerships."
"The product is expensive for smaller companies."
"NetMon's licensing costs about $85k per year, with some extra costs for support."
"The pricing model for ScienceLogic could improve."
"Decide what you want to monitor and only monitor those items. Absorb other elements as you grow."
"The license of ScienceLogic is based on how many endpoints are used. The number of monitoring points you want to have."
"My company has an enterprise-level contract with ScienceLogic, so it is available to my organization at a good price."
"The solution is license-based. It's between $8 and $15, depending on what you need from the product."
"Its price could be lower, but for what you pay, you got a lot of value from its features and functionalities. Customers always want a discount or a cheaper solution."
"Plan for adding more to it. Once you see EM7 in action, you will want to keep adding systems to monitor."
"Pricing between the two is quiet large therefore you can save some money if you don't require to collect all info on each device."
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Top Industries

By visitors reading reviews
No data available
Financial Services Firm
11%
Computer Software Company
11%
Manufacturing Company
10%
Government
9%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

What do you like most about LogRhythm NetMon?
It has a very strong artificial intelligence engine.
What is your experience regarding pricing and costs for LogRhythm NetMon?
I don't have visibility into the pricing of LogRhythm NetMon as it's handled through our commercial partnerships.
What needs improvement with LogRhythm NetMon?
The main concern is that LogRhythm has not improved NetMon but instead introduced a separate product, which many customers, including us, would prefer to be integrated into a single platform for ea...
What do you like most about ScienceLogic?
The tool is quite easy to deploy, and it offers very good support.
What is your experience regarding pricing and costs for ScienceLogic?
ScienceLogic is not that expensive and is cost-effective overall.
What needs improvement with ScienceLogic?
I am interested in improving the flexibility of ScienceLogic's user interface, configuration, and customization. I am particularly keen on learning about issues raised by the ScienceLogic support t...
 

Comparisons

 

Also Known As

LogRhythm Network Monitor
No data available
 

Overview

 

Sample Customers

Sera-Brynn
Kellogg Company, Booz Allen, Cisco, Red Bull, Fidelus, Telstra, Comcast, CSC, Peak 10, HughesNet, Hosting, Datapipe, US Army, Equinix, Rite Aid, Carbonite, Sybase, Carpathia, AT&T, ePlus, Dimension Data, Virtustream, Boeing, Honeywell
Find out what your peers are saying about NetMon vs. ScienceLogic and other solutions. Updated: July 2025.
865,484 professionals have used our research since 2012.