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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 8.2, while ServiceNow is ranked #65. Elastic holds a 4.2% 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
  • 4,531 Views
  • 3,911 Comparison Views
88% willing to recommend
Loom Systems
Read 4 Loom Systems reviews
  • 282 Views
  • 181 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
6.9
Number of Reviews
26
Ranking in other categories
Application Performance Monitoring (APM) and Observability (7th), Log Management (12th), Container Monitoring (4th), Cloud Monitoring Software (7th)
Loom Systems
Ranking in IT Infrastructure Monitoring
65th
Average Rating
8.0
Number of Reviews
4
Ranking in other categories
Anomaly Detection Tools (2nd)
 

Mindshare comparison

As of January 2025, in the IT Infrastructure Monitoring category, the mindshare of Elastic Observability is 4.2%, up from 3.7% 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

"It has always been a stable solution."
"The solution is open-source and helps with back-end logging. It is also easy to handle."
"I recommend Elastic Observability for its completeness of vision and wide ecosystem."
"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 over a month from multiple data sources can be completed within seconds."
"Its diverse set of features available on the cloud is of significant importance."
"The price is very less expensive compared to the other solutions."
"It is very stable, and I would rate it ten out of ten based on my interaction with it."
"Elastic APM has plenty of features, such as the Elastic server for Kibana and many additional plugins. It's a comprehensive tool when used as a logging platform."
More Elastic Observability pros
"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."
"The RFS portion of the solution is the product's most valuable feature."
 

Cons

"In the future, Elastic APM needs a portfolio iTool. They can provide an easy way to develop the custom UI for Kibana."
"If we had some pre-defined templates for observability that we could start using right away after deploying it – instead of having to build or to change some of the dashboards – that would be helpful."
"Elastic Observability is an excellent product for monitoring and visibility, but it lacks predictive analytics. Most solutions are aligned with the AIOps requirements, but this piece is missing in Elastic and should be included."
"Simplifying the parsing of logs and manual efforts would also be beneficial."
"One example is the inability to monitor very old databases with the newest version."
"Elastic Observability is difficult to use. There are only three options for customization but this can be difficult for our use case. We do not have other options to choose the metrics shown, such as CPU or memory usage."
"We did have some issues at the beginning."
"Elastic Observability could improve asset discovery as the current requirement to push the agent is not ideal."
More Elastic Observability 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,"
"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."
 

Pricing and Cost Advice

"Since we are a huge company, Elastic Observability is an affordable solution for us."
"One needs to pay for the licenses, and it is an annual subscription model right now."
"There are two types: cloud and SaaS. They charge based on data ingestion, ingest rate, hard retention, and warm retention. I believe it costs around $25,000 annually to ingest 30GB of data daily. That is the SaaS version. There is also a self-managed license where the customer manages their own infrastructure on-prem. In such cases, there are three license tiers that respectively cost $5,000 annually per node, $7,000 per node, and $12,500 per node."
"We have been using the open-source version."
"It is expensive. It is not cheap."
"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."
"Users have to pay for some features, like the alerts on different channels, because they are unavailable in different source versions."
More Elastic Observability pricing and cost advice
Information not available
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Top Industries

By visitors reading reviews
Financial Services Firm
22%
Computer Software Company
15%
Manufacturing Company
8%
Government
6%
Financial Services Firm
21%
Computer Software Company
16%
Real Estate/Law Firm
9%
Manufacturing Company
7%
 

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?
Elastic Observability could improve asset discovery as the current requirement to push the agent is not ideal. Simplifying the parsing of logs and manual efforts would also be beneficial.
See all answers
Ask a question
Earn 20 points
 

Comparisons

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Compared 14% of the time
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Compared 12% of the time
Grafana vs Elastic Observability Logo
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Compared 10% of the time
Azure Monitor vs Elastic Observability Logo
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Compared 8% of the time
More Elastic Observability Competitors
Elastic Search vs Loom Systems Logo
Elastic Search vs Loom Systems
Compared 100% of the time
More Loom Systems Competitors
 

Product Reports

Buyer's Guide
Elastic Observability
January 2025
Elastic Observability reportDownload Elastic Observability product report
Buyer's Guide
IT Infrastructure Monitoring
January 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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