Loom Systems vs ScienceLogic comparison

Read 45 ScienceLogic reviews

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Loom Systems

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Executive SummaryUpdated on Oct 9, 2024

ScienceLogic and Loom Systems compete in IT operations management. ScienceLogic is favored for its robust support and competitive pricing, while Loom Systems stands out with its advanced predictive analytics.

Features: ScienceLogic offers comprehensive monitoring, automation capabilities, and flexible deployment options. Loom Systems provides AI-driven anomaly detection, predictive insights, and advanced analytics capabilities.

Room for Improvement: ScienceLogic could enhance its analytics capabilities and speed of deployment. Loom Systems may improve its customer service responsiveness and pricing structure. Both could refine their user interfaces.

Ease of Deployment and Customer Service: ScienceLogic adapts to various environments and is supported by strong customer service. Loom Systems ensures quick deployment although its customer service can be less responsive. ScienceLogic excels in service reliability.

Pricing and ROI: ScienceLogic is cost-effective with a focus on delivering substantial ROI through cost savings. Loom Systems has a higher setup cost, justified by significant ROI from preventative analytics. ScienceLogic offers affordable initial investments, whereas Loom Systems provides long-term savings with advanced technology.

To learn more, read our detailed Loom Systems vs. ScienceLogic Report (Updated: April 2025).

Loom Systems vs. ScienceLogic

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Helped 850,236 peers since 2012

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

66th

Average Rating

8.0

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

Anomaly Detection Tools (2nd)

ScienceLogic

Ranking in IT Infrastructure Monitoring

22nd

Average Rating

8.6

Reviews Sentiment

7.1

Number of Reviews

Ranking in other categories

Event Monitoring (7th), Unified Communications Monitoring (1st), Network Monitoring Software (25th), Server Monitoring (12th), IT Operations Analytics (7th), Cloud Monitoring Software (18th), AIOps (7th)

Mindshare comparison

As of May 2025, in the IT Infrastructure Monitoring category, the mindshare of Loom Systems is 0.2%, up from 0.2% compared to the previous year. The mindshare of ScienceLogic is 1.8%, up from 1.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.

IT Infrastructure Monitoring

Featured Reviews

Keerthi Kumar Sangaraju

Technology Manager at FIS

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.

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Michael Wenn

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.

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Quotes from Members

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

Pros

"The solution is absolutely scalable. If an organization needs to expand it out they definitely can."

"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."

"The RFS portion of the solution is the product's most valuable feature."

"You can develop your own apps within Loom, and they can be configured very simply."

"When it comes to features, the power pack is the most valuable."

"The best feature is the highly flexible graphs."

"I'm satisfied with ScienceLogicfor for what they can offer today because they can offer both serverless connectivity and agent connectivity."

"ScienceLogic's custom enablement, which I can achieve as a Python developer, is unique."

"The tool is quite easy to deploy, and it offers very good support."

"Dynamic Component Mapping is key and unique."

"I recommend ScienceLogic to other users."

"The solution excels in three areas: application monitoring, server monitoring, and network performance monitoring."

More ScienceLogic pros

Cons

"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."

"The discovery and mapping still takes a lot of human intervention, it's quite resource heavy,"

"The change management within the solution needs to be improved. There needs to be more process automation."

"The reporting is a bit weak. They should work to improve this aspect of the product."

"ScienceLogic should provide detailed documents to customer as the current documents are not sufficient."

"ScienceLogic is working towards a kind of AI, DKAIRA enablement, but I find one dependency is the frequent need to rely on professional services."

"There are often bugs in new releases."

"Integrating observability and APM monitoring into the overall portfolio would be beneficial."

"There is room for improvement in the speed of setting up the service and integrating PowerPacks."

"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 could improve the implementation, it could be made easier."

"If I were a small to medium business, I probably wouldn't choose this provider. It is a heavily configurable, heavyweight, and scalable IT solution for IT infrastructure monitoring."

More ScienceLogic cons

Pricing and Cost Advice

Information not available

"The pricing model for ScienceLogic could improve."

"Plan for adding more to it. Once you see EM7 in action, you will want to keep adding systems to monitor."

"It comes with the OS built in, so no need to purchase an OS license or DB license."

"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."

"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."

"The license of ScienceLogic is based on how many endpoints are used. The number of monitoring points you want to have."

"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."

More ScienceLogic pricing and cost advice

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Top Industries

By visitors reading reviews

No data available

Financial Services Firm

13%

Computer Software Company

13%

Manufacturing Company

Government

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

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.

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What is your experience regarding pricing and costs for ScienceLogic?

ScienceLogic is not that expensive and is cost-effective overall.

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What needs improvement with ScienceLogic?

ScienceLogic is working towards a kind of AI, DKAIRA enablement, but I find one dependency is the frequent need to rely on professional services. If the knowledge for implementation could be spread...

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Product Reports

IT Infrastructure Monitoring

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Overview

Loom Systems delivers an advanced AI-powered operational analytics platform to predict and prevent problems in the digital business. DevOps & IT teams use Loom for real-time detection and resolution for any type of application, including home-grown. Loom analyzes logs and metrics in all formats, performs smart correlations and root cause analysis to help organizations gain immediate into their environments. Loom stands alone in the industry as an AI platform requiring no prior math knowledge from its operators, leveraging your existing staff to succeed in the digital era. Getting started is easy - zero configuration and data pre-processing needed, so you can stream your data in its raw format.

ServiceNow

ScienceLogic is a comprehensive IT infrastructure monitoring solution that supports networks, servers, cloud environments, and applications, suitable for private cloud and on-premises deployments.

Organizations leverage ScienceLogic for its robust capabilities in monitoring IT infrastructures of all sizes. It offers granular discovery, integration with CMDB, and ticketing systems. Valued for its flexibility, incident automation, remediation, and real-time relationship mapping, it supports hybrid environments with scalable and efficient monitoring functionalities. AI and machine learning enhance its feature set, while ease of deployment and strong support are crucial benefits.

What are ScienceLogic's most important features?

Agentless Configuration: Ensures easy deployment without the need for agents.
Third-Party Integration: Seamlessly integrates with various tools.
Dynamic Component Mapping: Offers real-time relationship and dependency mapping.
Flexible Graphs: Allows custom visual representation of data.
Role-Based Access: Provides tiered access for different user roles.
Infrastructure and Event Management: Efficiently monitors hybrid environments.

What benefits and ROI should users look for?

Scalability: Handles environments of all sizes efficiently.
AI and Machine Learning: Enhances automation and incident management.
Ease of Deployment: Streamlines initial setup and reduces time to value.
Customization: Custom dashboards and reports cater to specific needs.
Comprehensive Support: Access to excellent support services.

ScienceLogic is implemented across multiple industries, including large enterprises, for its capability to handle complex IT ecosystems. Its integration with CMDB and ticketing systems ensures it fits within existing workflows. Organizations use it to monitor diverse infrastructure landscapes, ensuring seamless performance and quick incident resolution.

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

Loom Systems vs. ScienceLogic