Loom Systems vs Splunk Observability Cloud comparison

ServiceNow and Splunk are both solutions in the IT Infrastructure Monitoring category. ServiceNow is ranked #60, while Splunk is ranked #7 with an average rating of 8.4. ServiceNow holds a 0.6% mindshare in IM, compared to Splunk’s 2.0% mindshare. Additionally, 80% of ServiceNow users are willing to recommend the solution, compared to 96% of Splunk users who would recommend it.

Loom Systems

Read 4 Loom Systems reviews

739 Views
562 Comparison Views

80% willing to recommend

Splunk Observability Cloud

Read 75 Splunk Observability Cloud reviews

7,605 Views
2,662 Comparison Views

96% willing to recommend

Loom Systems

Splunk Observability Cloud

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Executive SummaryUpdated on Dec 28, 2025

Splunk Observability Cloud and Loom Systems are competing products in the field of observability and monitoring. Splunk tends to have the upper hand due to its strong support and comprehensive pricing structure, although Loom's standout features present a significant draw for feature-focused buyers.

Features: Splunk Observability Cloud offers robust real-time alerting, AI-driven insights, and comprehensive analytics, making it ideal for extensive enterprise environments. Loom Systems significantly enhances preemptive problem-solving with predictive analytics and automated incident detection. Its user-friendly interface is tailored for smaller teams, simplifying the management of less complex integrations.

Room for Improvement: Splunk could broaden its integration capabilities and streamline AI functionalities to enhance user adaptability. Loom Systems might focus on expanding its integration options, offering more advanced analytics, and reducing the learning curve for new users to satisfy enterprise-level demands.

Ease of Deployment and Customer Service: Splunk's deployment is facilitated by extensive documentation and superior customer support, suiting enterprises with capacity for handling complex systems. Loom Systems offers a straightforward deployment model with personalized customer service, appealing to businesses that benefit from faster integration and direct support.

Pricing and ROI: Splunk Observability Cloud has a higher initial cost, justified by its comprehensive toolset that provides a significant ROI for larger enterprises. Loom Systems presents a more affordable option for smaller enterprises or budget-constrained businesses, offering high ROI through efficient use of resources and proactive problem-solving capabilities.

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

Buyer's Guide

Loom Systems vs. Splunk Observability Cloud

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

Loom Systems

Ranking in IT Infrastructure Monitoring

60th

Average Rating

8.0

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

Anomaly Detection Tools (4th)

Splunk Observability Cloud

Ranking in IT Infrastructure Monitoring

7th

Average Rating

8.2

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

Application Performance Monitoring (APM) and Observability (8th), Network Monitoring Software (6th), Cloud Monitoring Software (6th), Container Management (6th), Digital Experience Monitoring (DEM) (2nd)

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 Splunk Observability Cloud is 2.0%, up from 1.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.

IT Infrastructure Monitoring Market Share Distribution
Product	Market Share (%)
Splunk Observability Cloud	2.0%
Loom Systems	0.6%
Other	97.4%

IT Infrastructure Monitoring

Featured Reviews

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.

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Dhananjay Dileep

Senior Software Engineer at a consultancy with 10,001+ employees

Unified monitoring has improved end-to-end visibility and reduced detection time across apps

When we have too many detectors in place for one particular app, such as when I have created 50+ detectors through my account, the entire page becomes a bit loaded when creating the 51st detector, feeling heavy and taking time to load. Additionally, it throws random errors; for example, when we try to save one detector, it might throw some random error which is not even related, with something else being wrong, not that particular error, but the underlying root cause might be different. Sometimes the error is just "some problem occurred," and we are not able to point out what the real cause is. This mainly happens when we have too many detectors or too many alerts in place rather than a standard number. One more thing is in the alert rules; if we have a main general alert, and instead of creating a new detector, we are adding a new rule under one detector, when the number of rules also increases, such as when we have 10 or 15 rules under one generic detector, that again creates the same kind of problem, taking some time to save that particular newly added rule, and it might not save at times, just keeps on spinning. Those are the two drawbacks which I spotted recently; other than that, everything looks perfect.

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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 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."

"The product's deployment phase is good and very easy because it is done with OpenTelemetry for most of the parts."

"It's a very easy-to-use solution."

"Splunk Observability Cloud has helped improve my operational performance; previously, we used Elastic for similar purposes, and this has allowed us much more visibility into what we're working on with usable dashboards and metrics, which has been awesome."

"Splunk's GUI and dashboard capacity are the most valuable features of Splunk Infrastructure Monitoring."

"The ability to create custom dashboards is one of the best features and that's typically why most people deploy Splunk. Users can create dashboards for just about anything."

"I have definitely seen a return on investment with Splunk Observability Cloud, particularly through how fast it has grown and how comfortable other teams are in relying on its outputs for monitoring and observability."

"The most valuable thing that we have seen within our group is the ability to ingest all this raw data and have it organized in a certain way so that different groups can get effective alerting from this massive amount of raw data that is out there."

"The most valuable feature in this solution is the log searching."

More Splunk Observability Cloud 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 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."

"The product collects a lot of data but it does not assure that it collects all of it."

"There are always areas for potential improvement to enhance its functionality and user experience."

"Splunk Observability Cloud could be improved with better integration with AppDynamics, as we know that's coming, however, it is an issue we've had between the OpenTelemetry and the AppDynamics collector."

"The only strain point we've encountered with Splunk Observability Cloud is that the search times can be lengthy for some things. We have a large environment, so that's expected."

"The solution's stability is an area that has room for improvement. It needs to provide constant stability to its users."

"The end-to-end visibility is lacking because Splunk cannot directly monitor network devices."

"The UI of Splunk Observability Cloud is one of the major issues; it's old and has been there for more than 10 years, acquired by other applications from other companies. It's time to reinvent how the UI is going to work with the AI modules and integrations, making it softer and cleaner."

"Splunk APM's performance could be improved - at the moment, it's very slow and takes forever to give me what I want."

More Splunk Observability Cloud cons

Pricing and Cost Advice

Information not available

"The solution's pricing is costly."

"I am not in that circle, but we are currently licensing based on our queries. That is working out for us. Previously, it was by volume of data, and now, we can store as much data as we want."

"Splunk Infrastructure Monitoring is an expensive solution."

"Splunk APM is expensive."

"Splunk has been fairly expensive, but it has been predictable."

"Licensing cost is the biggest argument I get from those divesting from Splunk. There are those within our organization who say we are going to go to other tools since Splunk is too expensive."

"It is expensive."

"Splunk Observability Cloud is expensive."

More Splunk Observability Cloud pricing and cost advice

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Top Industries

By visitors reading reviews

No data available

Financial Services Firm

13%

Computer Software Company

10%

Manufacturing Company

10%

Retailer

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

By reviewers
Company Size	Count
Small Business	20
Midsize Enterprise	10
Large Enterprise	47

Questions from the Community

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What do you like most about SignalFx?

The most valuable feature is dashboard creation.

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What needs improvement with SignalFx?

Regarding dashboard customization, while Splunk has many dashboard building options, customers sometimes need to create specific dashboards, particularly for applicative metrics such as Java and pr...

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What is your primary use case for SignalFx?

The solution involves observability in general, such as Application Performance Monitoring, and generally addresses digital applications, web applications, sites, and mobile applications. I worked ...

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Comparisons

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Compared 18% of the time

DX Unified Infrastructure Management vs Loom Systems

Compared 18% of the time

Huawei eSight vs Loom Systems

Compared 13% of the time

OpsRamp vs Loom Systems

Compared 12% of the time

Moogsoft vs Loom Systems

Compared 11% of the time

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Avantra vs Splunk Observability Cloud

Compared 3% of the time

Sentry vs Splunk Observability Cloud

Compared 3% of the time

Observe vs Splunk Observability Cloud

Compared 2% of the time

Cribl vs Splunk Observability Cloud

Compared 2% of the time

Honeycomb Enterprise vs Splunk Observability Cloud

Compared 2% of the time

More Splunk Observability Cloud Competitors

Product Reports

Buyer's Guide

IT Infrastructure Monitoring

December 2025

Download Loom Systems product report

Buyer's Guide

Splunk Observability Cloud

January 2026

Download Splunk Observability Cloud product report

Also Known As

No data available

Splunk Infrastructure Monitoring, Splunk Real User Monitoring (RUM), Splunk Synthetic Monitoring

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

Splunk Observability Cloud offers sophisticated log searching, data integration, and customizable dashboards. With rapid deployment and ease of use, this cloud service enhances monitoring capabilities across IT infrastructures for comprehensive end-to-end visibility.

Focused on enhancing performance management and security, Splunk Observability Cloud supports environments through its data visualization and analysis tools. Users appreciate its robust application performance monitoring and troubleshooting insights. However, improvements in integrations, interface customization, scalability, and automation are needed. Users find value in its capabilities for infrastructure and network monitoring, as well as log analytics, albeit cost considerations and better documentation are desired. Enhancements in real-time monitoring and network protection are also noted as areas for development.

What are the key features?

Log Searching: Efficiently search and analyze logs from various sources.
Data Integration: Seamlessly integrate with multiple environments.
Dashboard Customization: Tailor dashboards to specific monitoring needs.
Monitoring Capabilities: Provides comprehensive insights into application performance.
Security Features: Analyze and address security threats across systems.
Visualization Tools: Enhance data analysis and system performance optimization.

Why consider this for ROI?

Comprehensive Visibility: Gain complete insights into IT infrastructure.
Performance Optimization: Improve overall system performance and efficiency.
Rapid Deployment: Quick setup to meet organization demands swiftly.
Enhanced Security: Strengthen security measures through detailed analytics.

In industries, Splunk Observability Cloud is implemented for security management by analyzing logs from detection systems, offering real-time alerts and troubleshooting for cloud-native applications. It is leveraged for machine data analysis, improving infrastructure visibility and supporting network and application performance management efforts.

Splunk

Sample Customers

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

Sunrun, Yelp, Onshape, Tapjoy, Symphony Commerce, Chairish, Clever, Grovo, Bazaar Voice, Zenefits, Avalara

Buyer's Guide

Loom Systems vs. Splunk Observability Cloud

January 2026

Free Report: Loom Systems vs. Splunk Observability Cloud

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