Elastic Observability vs Loom Systems comparison

Elastic and ServiceNow are both solutions in the IT Infrastructure Monitoring category. Elastic is ranked #15 with an average rating of 8.8, while ServiceNow is ranked #61. Elastic holds a 1.7% mindshare in IM, compared to ServiceNow’s 0.5% mindshare. Additionally, 88% of Elastic users are willing to recommend the solution, compared to 80% of ServiceNow users who would recommend it.

Elastic Observability

Read 29 Elastic Observability reviews

8,483 Views
3,393 Comparison Views

88% willing to recommend

Loom Systems

Read 4 Loom Systems reviews

845 Views
668 Comparison Views

80% willing to recommend

Elastic Observability

Loom Systems

Comparison Buyer's Guide

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Executive SummaryUpdated on Oct 9, 2024

Loom Systems and Elastic Observability are competing in the monitoring solutions category. Elastic Observability holds the advantage with robust features and perceived value for the price, while Loom Systems offers better pricing and customer support.

Features: Loom Systems provides predictive analytics, AI-driven insights, and preemptive problem-solving. Elastic Observability offers comprehensive data analytics, real-time monitoring, and broader analytics insights.

Room for Improvement: Loom Systems could enhance its data analytics depth, expand integration capabilities, and offer more flexible deployment options. Elastic Observability could improve its user interface simplicity, reduce initial setup complexity, and optimize resource allocation efficiency.

Ease of Deployment and Customer Service: Loom Systems has a straightforward deployment process and strong customer support, minimizing setup complexity. Elastic Observability leverages the Elastic Stack for deployment, which may require more initial setup but benefits from flexibility and documentation.

Pricing and ROI: Loom Systems attracts with lower setup costs and faster ROI through simplified operations. Elastic Observability may need higher initial investment but offers value through its depth and scalability.

To learn more, read our detailed Elastic Observability vs. Loom Systems Report (Updated: January 2026).

Buyer's Guide

Elastic Observability vs. Loom Systems

January 2026

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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

Elastic Observability

Ranking in IT Infrastructure Monitoring

15th

Average Rating

8.0

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

Application Performance Monitoring (APM) and Observability (10th), Log Management (16th), Container Monitoring (5th), Cloud Monitoring Software (10th)

Loom Systems

Ranking in IT Infrastructure Monitoring

61st

Average Rating

8.0

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

Anomaly Detection Tools (4th)

Mindshare comparison

As of February 2026, in the IT Infrastructure Monitoring category, the mindshare of Elastic Observability is 1.7%, down from 4.4% compared to the previous year. The mindshare of Loom Systems is 0.5%, up from 0.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.

IT Infrastructure Monitoring Market Share Distribution
Product	Market Share (%)
Elastic Observability	1.7%
Loom Systems	0.5%
Other	97.8%

IT Infrastructure Monitoring

Featured Reviews

Mohammed-Abdelalim

Assistant Vice President at QualityKiosk Technologies Pvt. Ltd.

Has provided powerful customization for unique monitoring needs but needs more out-of-the-box capabilities

In my opinion, the best features of Elastic Observability are their flexibility to integrate with other existing systems and the ability to build a unified monitoring tool that can integrate with existing ones and end-to-end user journeys which require a lot of customizations. The greatest feature in Elastic is the ability to customize. This is similar to my comments about customizable dashboards in Elastic because it's visible to the analyst. However, it's very great. Customizing these dashboards can meet the customer's specific use cases and specific stories that they have in their environment, their special environment that doesn't look like other environments. The dashboarding in Elastic is highly customizable to the level of logos. If the customer wants his company logo in the dashboard, it can be done.

Read full review

Keerthi Kumar Sangaraju

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.

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 tool's most valuable feature is centralized logging. Elastic Common Search helps us to search for the logs across the organization."

"I found Elk to be excellent for log analytics, security analytics, application code-level analytics, collaboration with DevOps teams, CI/CD, microservices, and Kubernetes, specifically cloud-native or cloud-specific tasks."

"It is scalable and supports multitenancy, which is beneficial for MSPs."

"It is very stable, and I would rate it ten out of ten based on my interaction with it."

"Its diverse set of features available on the cloud is of significant importance."

"I have built a mini business intelligence system based on Elastic Observability."

"Good design and easy to use once implemented."

"All the features that we use, such as monitoring, dashboarding, reporting, the possibility of alerting, and the way we index the data, are important."

More Elastic Observability pros

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

"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 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."

Cons

"More web features could be added to the product."

"Simplifying the parsing of logs and manual efforts would also be beneficial."

"Elastic Observability is reactive rather than proactive. It should act as an ITSM tool and be able to create tickets and alerts on Jira."

"Elastic Observability could improve asset discovery as the current requirement to push the agent is not ideal."

"There could be more low-code features included in the product."

"There is room for improvement regarding its APM capabilities."

"The price is the only issue in the solution. It can be made better and cheaper."

"The auto-discovery isn't nearly as good. That's a big portion of it. When you drop the agent onto the JVM and you're trying to figure things out, having to go through and manually do all that is cumbersome."

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

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

Pricing and Cost Advice

"Since we are a huge company, Elastic Observability is an affordable solution for us."

"The product is not that cheap."

"Elastic Observability's pricing could be better for small-scale users."

"Elastic Observability is cheaper than other similar solutions, such as Dynatrace. Its license calculation is based on various factors like data volume and physical infrastructure, particularly related to RAM capacity."

"Users have to pay for some features, like the alerts on different channels, because they are unavailable in different source versions."

"So far, there are just the standard licensing fees. Several of the components are embedded in the license or are even open source. They're even free depending on what you use, which makes it even more appealing to someone that is discussing pricing of the solution."

"We will buy a premium license after POC."

"Pricing is one of those situations where the more you use it, the more you pay."

More Elastic Observability pricing and cost advice

Information not available

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Top Industries

By visitors reading reviews

Financial Services Firm

16%

Computer Software Company

14%

Manufacturing Company

Government

No data available

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	9
Midsize Enterprise	4
Large Enterprise	16

No data available

Questions from the Community

What do you like most about Elastic Observability?

Elastic Observability significantly improves incident response time by providing quick access to logs and data across various sources. For instance, searching for specific keywords in logs spanning...

See all answers

What is your experience regarding pricing and costs for Elastic Observability?

The problem is their licensing model, which is a bit confusing. Many customers struggle to understand their total cost of ownership because Elastic licensing is not dependent on easy, quantifiable ...

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What needs improvement with Elastic Observability?

After careful consideration about areas for improvement in Elastic Observability, aspects such as pricing, customization, implementation, and scalability could be improved. As a user of the system,...

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Comparisons

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Compared 6% of the time

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Compared 6% of the time

Grafana vs Elastic Observability

Compared 6% of the time

New Relic vs Elastic Observability

Compared 6% of the time

Datadog vs Elastic Observability

Compared 5% of the time

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Splunk Observability Cloud vs Loom Systems

Compared 18% of the time

DX Unified Infrastructure Management vs Loom Systems

Compared 16% of the time

SolarWinds NPM vs Loom Systems

Compared 15% of the time

OpsRamp vs Loom Systems

Compared 12% of the time

Moogsoft vs Loom Systems

Compared 12% of the time

More Loom Systems Competitors

Product Reports

Buyer's Guide

Elastic Observability

February 2026

Download Elastic Observability product report

Buyer's Guide

IT Infrastructure Monitoring

January 2026

Download Loom Systems product report

Overview

Elastic Observability offers a comprehensive suite for log analytics, application performance monitoring, and machine learning. It integrates seamlessly with platforms like Teams and Slack, enhancing data visualization and scalability for real-time insights.

Elastic Observability is designed to support production environments with features like logging, data collection, and infrastructure tracking. Centralized logging and powerful search functionalities make incident response and performance tracking efficient. Elastic APM and Kibana facilitate detailed data visualization, promoting rapid troubleshooting and effective system performance analysis. Integrated services and extensive connectivity options enhance its role in business and technical decision-making by providing actionable data insights.

What are the most important features of Elastic Observability?

Centralized Logging: Streamlines the collection, analysis, and storage of log data.
Powerful Search: Provides robust search capabilities for quick access to relevant information.
Scalability: Supports growing data needs across diverse environments.
Real-time Telemetry: Ensures up-to-date insights and monitoring.
Platform Integration: Seamlessly connects with services like Teams and Slack.
Data Visualization: Enhances visibility with Elastic APM and Kibana.

What benefits and ROI should users explore in reviews?

Cost-effectiveness: Offers significant savings through efficient data management.
Rapid Incident Response: Minimizes downtime with quick troubleshooting tools.
Comprehensive Insights: Supports better business decisions with detailed data analysis.
Performance Tracking: Enables assessment of system effectiveness and improvements.

Elastic Observability is employed across industries for critical operations, such as in finance for transaction monitoring, in healthcare for secure data management, and in technology for optimizing application performance. Its data-driven approach aids efficient event tracing, supporting diverse industry requirements.

Elastic

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

Sample Customers

PSCU, Entel, VITAS, Mimecast, Barrett Steel, Butterfield Bank

Citrix, Amdocs, Sysaid, Hexaware, Effibar, Revtrak, Taptica

Buyer's Guide

Elastic Observability vs. Loom Systems

January 2026

Free Report: Elastic Observability vs. Loom Systems

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