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Loom Systems vs ScienceLogic comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Oct 9, 2024

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

Loom Systems
Ranking in IT Infrastructure Monitoring
60th
Average Rating
8.0
Reviews Sentiment
6.9
Number of Reviews
4
Ranking in other categories
Anomaly Detection Tools (4th)
ScienceLogic
Ranking in IT Infrastructure Monitoring
14th
Average Rating
8.6
Reviews Sentiment
7.0
Number of Reviews
46
Ranking in other categories
Event Monitoring (6th), Unified Communications Monitoring (1st), Network Monitoring Software (16th), Server Monitoring (10th), IT Operations Analytics (4th), Cloud Monitoring Software (12th), AIOps (10th)
 

Mindshare comparison

As of January 2026, in the IT Infrastructure Monitoring category, the mindshare of Loom Systems is 0.6%, up from 0.2% compared to the previous year. The mindshare of ScienceLogic is 1.6%, down from 1.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.
IT Infrastructure Monitoring Market Share Distribution
ProductMarket Share (%)
ScienceLogic1.6%
Loom Systems0.6%
Other97.8%
IT Infrastructure Monitoring
 

Featured Reviews

Keerthi Kumar Sangaraju - PeerSpot reviewer
Technology Manager at a tech services company with 10,001+ employees
Stable, easy to set up, flexible, and has multiple functionalities, but needs to define priority levels for each incident
What's lacking in Loom Systems is the level of priority for each incident. For example, after implementation and there was a huge impact on the client, and the client comes back to you and says that there's an incident, that there needs to be an immediate resolution for it, you'll see severity one, severity two, etc., in Loom Systems, rather than priority levels. It would be better if the incidents can be defined as low priority, medium priority, or high priority.
Michael Wenn - PeerSpot reviewer
CEO / Co-Founder at Aiops ltd
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

"The RFS portion of the solution is the product's most valuable feature."
"The solution is absolutely scalable. If an organization needs to expand it out they definitely can."
"You can develop your own apps within Loom, and they can be configured very simply."
"What I like best about Loom Systems is that you can use it for infrastructure monitoring. I also like that it's a flexible solution."
"Dynamic Component Mapping is key and unique."
"The most valuable features of ScienceLogic are AI and machine learning."
"The best feature is the highly flexible graphs."
"I recommend ScienceLogic to other users."
"The integration of ScienceLogic with our existing IT ecosystems has significantly benefited our organization, as all alerts now directly go to IBM Netcool and then to the ITSM tool, ServiceNow."
"Power packs."
"One of the valuable features is rapid dashboards."
"Provides agentless monitoring so there's no need to install the agent on each server."
 

Cons

"The change management within the solution needs to be improved. There needs to be more process automation."
"The discovery and mapping still takes a lot of human intervention, it's quite resource heavy,"
"The reporting is a bit weak. They should work to improve this aspect of the product."
"What's lacking in Loom Systems is the level of priority for each incident. For example, after implementation and there was a huge impact on the client, and the client comes back to you and says that there's an incident, that there needs to be an immediate resolution for it, you'll see severity one, severity two, etc., in Loom Systems, rather than priority levels. It would be better if the incidents can be defined as low priority, medium priority, or high priority."
"ScienceLogic is working towards a kind of AI, DKAIRA enablement, but I find one dependency is the frequent need to rely on professional services."
"Addressing duplicate IPs: There is the ability to edit the DB and fix this, but adding some logic to understand them would be a plus."
"ScienceLogic should provide detailed documents to customer as the current documents are not sufficient."
"It was challenging onboarding users."
"They should add CLI command modes​ and scripts for high performance."
"ScienceLogic does not have application monitoring. We definitely need something integrated within ScienceLogic to monitor applications so that we don't have to rely on monitoring tools to monitor other applications. At least the ones that are market leaders, such as SAP, Oracle, and others."
"From a performance perspective, it needs to improve a lot."
"The product must educate its strategic partners for deployment."
 

Pricing and Cost Advice

Information not available
"My company has an enterprise-level contract with ScienceLogic, so it is available to my organization at a good price."
"The license of ScienceLogic is based on how many endpoints are used. The number of monitoring points you want to have."
"Decide what you want to monitor and only monitor those items. Absorb other elements as you grow."
"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."
"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."
"The solution is license-based. It's between $8 and $15, depending on what you need from the product."
"I'm not the best person to discuss pricing, but what I do know is that it's a use-and-go structure. You use this much storage and pay this much for it. That's how it is. Every time, we continue to add a large amount of data to the environment."
"Plan for adding more to it. Once you see EM7 in action, you will want to keep adding systems to monitor."
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Top Industries

By visitors reading reviews
No data available
Financial Services Firm
12%
Manufacturing Company
11%
Government
10%
Computer Software Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business13
Midsize Enterprise11
Large Enterprise24
 

Questions from the Community

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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...
 

Overview

 

Sample Customers

Citrix, Amdocs, Sysaid, Hexaware, Effibar, Revtrak, Taptica
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 Loom Systems vs. ScienceLogic and other solutions. Updated: January 2026.
880,685 professionals have used our research since 2012.