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Elastic Observability vs Loom Systems comparison

Elastic and ServiceNow are both solutions in the IT Infrastructure Monitoring category. Elastic is ranked #7 with an average rating of 8.1, while ServiceNow is ranked #63. Elastic holds a 4.4% mindshare in IM, compared to ServiceNow’s 0.2% 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 26 Elastic Observability reviews
  • 5,470 Views
  • 4,727 Comparison Views
88% willing to recommend
Loom Systems
Read 4 Loom Systems reviews
  • 273 Views
  • 177 Comparison Views
80% willing to recommend
 

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.

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To learn more, read our detailed Elastic Observability vs. Loom Systems Report (Updated: January 2025).
Buyer's Guide
Elastic Observability vs. Loom Systems
January 2025
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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
7th
Average Rating
8.0
Reviews Sentiment
6.8
Number of Reviews
26
Ranking in other categories
Application Performance Monitoring (APM) and Observability (7th), Log Management (14th), Container Monitoring (4th), Cloud Monitoring Software (7th)
Loom Systems
Ranking in IT Infrastructure Monitoring
63rd
Average Rating
8.0
Number of Reviews
4
Ranking in other categories
Anomaly Detection Tools (2nd)
 

Mindshare comparison

As of February 2025, in the IT Infrastructure Monitoring category, the mindshare of Elastic Observability is 4.4%, down from 4.6% compared to the previous year. The mindshare of Loom Systems is 0.2%, up from 0.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.
IT Infrastructure Monitoring
 

Featured Reviews

Adelina Craciun - PeerSpot reviewer
Customization enables tailored monitoring and alerting across departments
The possibility to customize it has been quite useful. Whatever the other departments want to dream up, we implement. Whatever they want to monitor, the granularity of it, the changes in the threshold, and the anomalies that they want reported all require some development. So far, every single request has been fulfilled.
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Keerthi Kumar Sangaraju - PeerSpot reviewer
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 solution is open-source and helps with back-end logging. It is also easy to handle."
"The most valuable feature of Elastic Observability is the text search."
"Its diverse set of features available on the cloud is of significant importance."
"Elastic provides built-in features for queries and report generation. It's a very good tool for monitoring integration capabilities."
"It is very stable, and I would rate it ten out of ten based on my interaction with it."
"We can view and connect different sources to the dashboard using it."
"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."
More Elastic Observability pros
"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."
"The solution is absolutely scalable. If an organization needs to expand it out they definitely can."
"The RFS portion of the solution is the product's most valuable feature."
 

Cons

"The tool's scalability involves a more complex implementation process. It requires careful calculations to determine the number of nodes needed, the specifications of each node, and the configuration of hot, warm, and cold zones for data storage. Additionally, managing log retention policies adds further complexity. The solution's pricing also needs to be cheaper."
"Elastic Observability needs to have better standardization, logging, and schema."
"One example is the inability to monitor very old databases with the newest version."
"Elastic Observability could improve asset discovery as the current requirement to push the agent is not ideal."
"The cost must be made more transparent."
"More web features could be added to the product."
"Elastic APM's visualization is not that great compared to other tools. It's number of metrics is very low."
"They need more skills in the market. There are not enough skills in the market. It is not pervasive enough on the market, in my opinion. In other words, there isn't a big enough user base."
More Elastic Observability cons
"The change management within the solution needs to be improved. There needs to be more process automation."
"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 reporting is a bit weak. They should work to improve this aspect of the product."
"The discovery and mapping still takes a lot of human intervention, it's quite resource heavy,"
 

Pricing and Cost Advice

"Pricing is one of those situations where the more you use it, the more you pay."
"Users have to pay for some features, like the alerts on different channels, because they are unavailable in different source versions."
"One needs to pay for the licenses, and it is an annual subscription model right now."
"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."
"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."
"The price of Elastic Observability is expensive."
"Since we are a huge company, Elastic Observability is an affordable solution for us."
"The product’s pricing needs improvement."
More Elastic Observability pricing and cost advice
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Top Industries

By visitors reading reviews
Financial Services Firm
21%
Computer Software Company
15%
Manufacturing Company
9%
Government
6%
Financial Services Firm
22%
Computer Software Company
16%
Real Estate/Law Firm
9%
Media Company
5%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
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?
Elastic Observability is cost-efficient and provides all features in the enterprise license without asset-based licensing. However, sizing and licensing information could be clearer.
See all answers
What needs improvement with Elastic Observability?
Of course, maintenance is necessary, as with any software, requiring updates with the latest features and security enhancements. It lacked some capabilities when handling on-prem devices, like netw...
See all answers
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Comparisons

New Relic vs Elastic Observability Logo
New Relic vs Elastic Observability
Compared 15% of the time
Dynatrace vs Elastic Observability Logo
Dynatrace vs Elastic Observability
Compared 13% of the time
Sentry vs Elastic Observability Logo
Sentry vs Elastic Observability
Compared 13% of the time
Grafana vs Elastic Observability Logo
Grafana vs Elastic Observability
Compared 10% of the time
Azure Monitor vs Elastic Observability Logo
Azure Monitor vs Elastic Observability
Compared 8% of the time
More Elastic Observability Competitors
No data available
 

Product Reports

Buyer's Guide
Elastic Observability
February 2025
Elastic Observability reportDownload Elastic Observability product report
Buyer's Guide
IT Infrastructure Monitoring
February 2025
Loom Systems reportDownload Loom Systems product report
 

Overview

Elastic Observability is primarily used for monitoring login events, application performance, and infrastructure, supporting significant data volumes through features like log aggregation, centralized logging, and system metric analysis.

Elastic Observability employs Elastic APM for performance and latency analysis, significantly aiding business KPIs and technical stability. It is popular among users for system and server monitoring, capacity planning, cyber security, and managing data pipelines. With the integration of Kibana, it offers robust visualization, reporting, and incident response capabilities through rapid log searches while supporting machine learning and hybrid cloud environments.

What are Elastic Observability's key features?
  • Economic licensing: Offers cost-effective plans.
  • Extensive metrics tracking: Helps in comprehensive system monitoring.
  • Comprehensive logging: Centralizes log data efficiently.
  • Performance Monitoring: Provides robust APM capabilities.
  • Integration: Seamlessly integrates with other solutions.
  • Kibana visualization: Facilitates data visualization and reporting.
  • Machine learning support: Enables advanced data analysis.
  • Flexible deployment: Supports various deployment environments.
  • Rapid log searches: Enhances quick incident response.
  • Accessibility: Offers extensive online documentation and connector support.
What benefits or ROI should users look for in Elastic Observability reviews?
  • Stability: Look for consistent performance and reliability.
  • Compliance: Effective monitoring aids in regulation adherence.
  • System Security: Enhanced system monitoring and alert management.
  • Cost-Effectiveness: Evaluate the economic pricing models.
  • Scalability: Adequate scalability options for growing needs.

Companies in technology, finance, healthcare, and other industries implement Elastic Observability for tailored monitoring solutions. They find its integration with existing systems useful for maintaining operation efficiency and security, particularly valuing the visualization capabilities through Kibana to monitor KPIs and improve incident response times.

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 2025
Free Report: Elastic Observability vs. Loom Systems
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