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Loom Systems vs Splunk Observability Cloud comparison

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Comparison Buyer's Guide

Executive SummaryUpdated on Mar 29, 2026

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
65th
Average Rating
8.0
Reviews Sentiment
6.9
Number of Reviews
4
Ranking in other categories
Anomaly Detection Tools (5th)
Splunk Observability Cloud
Ranking in IT Infrastructure Monitoring
3rd
Average Rating
8.2
Reviews Sentiment
6.7
Number of Reviews
107
Ranking in other categories
Application Performance Monitoring (APM) and Observability (5th), Network Monitoring Software (6th), Cloud Monitoring Software (4th), Container Management (5th), Digital Experience Monitoring (DEM) (2nd)
 

Mindshare comparison

As of September 2026, in the IT Infrastructure Monitoring category, the mindshare of Loom Systems is 0.5%, up from 0.3% compared to the previous year. The mindshare of Splunk Observability Cloud is 2.7%, up from 1.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.
IT Infrastructure Monitoring Mindshare Distribution
ProductMindshare (%)
Splunk Observability Cloud2.7%
Loom Systems0.5%
Other96.8%
IT Infrastructure Monitoring
 

Featured Reviews

Keerthi Kumar Sangaraju - PeerSpot reviewer
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.
PK
Project Manager at AGRICULTURE SKILL COUNCIL OF INDIA (ASCI)
Unified observability has improved real-time governance and now drives data-led decisions
Log Observer Connect is embedded here, but we are facing some delays in centralized log collection and analysis, which can be further fastened. We are collecting all the data metrics and decision-making insights, but all these data-driven decisions coming from different applications are not connected somewhere. A consolidated form or correlation of these insights is not happening between each other due to which we feel we are missing something significant. Some generalized feedback includes that predictive alerts or alarms which can be integrated with AI-driven alarms and alerting features should be established so that there is AI-driven intelligence and anomaly detection happening with a complete systematic process in service delivery. Application dependencies are huge, and business and operational dashboards should be improved. Right now there are very interactive custom dashboards, and every now and then, the personalization of enhancements keeps happening. KPI monitoring, executive reporting, and analytics have definitely been introduced to a great extent. There are few things in cloud-native monitoring, such as integration with AWS and Azure, where we sometimes do face lags. Those things can definitely be improved upon. I have used Datadog and Dynatrace before using Splunk Observability Cloud. Datadog was definitely recommended by most of our peers because of its very strong comprehensive observability and very strong and unique dashboard systems. Dynatrace was also very good because they have offered a lot of AI-driven analysis methods and processes, which was helping our organization a lot. Since our organization has a very strong IT ecosystem for agriculture, very different kinds of customized things are required.

Quotes from Members

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

Pros

"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 very scalable; a company wouldn't have any issues expanding it if they needed to, and we have a few thousand users on the solution."
"You can develop your own apps within Loom, and they can be configured very simply."
"The RFS portion of the solution is the product's most valuable feature."
"Bringing Loom in ensures that the incident process, request process, change, all of these processes are improved."
"The solution is absolutely scalable. If an organization needs to expand it out they definitely can."
"The solution is absolutely scalable."
"It supports proactive management, enhances security, and improves operational efficiency."
"The features are pretty much ready out of the box."
"The solution's service map feature allows us to have a holistic overview and to see quickly where the issues are."
"The best feature of this product is the latency and processing of all the telemetry that is being received, which gives full visibility at the right time."
"It is a good tool. It allows you to set alerts for application and infrastructure monitoring, and it allows you to create dashboards."
"The most valuable feature is dashboard creation."
"Splunk Observability Cloud scales with the growing needs of my organization effectively."
"It is very easy to monitor multiple cloud environments. It's like a single pane of glass for us. We can use it to monitor our on-prem and both of our cloud environments as opposed to having different tools for each environment. It makes it all come together in one tool."
 

Cons

"What's lacking in Loom Systems is the level of priority 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."
"The change management within the solution needs to be improved. There needs to be more process automation."
"The reporting is a bit weak."
"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, especially in the initial setup which can take six months of work, especially when you have a large estate that you're dealing with."
"Splunk would be better if some tools were integrated to be able to take action on security or network concerns."
"The implementation can be more user-friendly."
"Splunk APM should include a better correlation between resources and infrastructure monitoring."
"Enhancements can be made to Splunk Observability Cloud dashboard, particularly the widgets that can help display ROI metrics and streamline setup for detection tuning."
"The solution's machine learning deployment is hard and should be made user-friendly."
"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."
"I believe that areas of Splunk Observability Cloud that could be improved include the initial setup and instrumentation costs, which take more time for APM."
"Splunk APM's performance could be improved - at the moment, it's very slow and takes forever to give me what I want."
 

Pricing and Cost Advice

Information not available
"Splunk APM is a very cost-efficient solution."
"Splunk has been fairly expensive, but it has been predictable."
"This is an expensive solution."
"Splunk's infrastructure monitoring costs can be high because our billing is based on data volume measured in terabytes, rather than the number of devices being monitored."
"The pricing is reasonable."
"The solution's pricing is costly."
"I would rate the price of Splunk Infrastructure Monitoring as an eight out of ten, with ten being the most expensive."
"The solution's pricing is competitive. I rate the solution's pricing a seven out of ten. The price of the solution could be cheaper."
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Top Industries

By visitors reading reviews
No data available
Financial Services Firm
12%
Manufacturing Company
8%
Outsourcing Company
8%
Construction Company
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business37
Midsize Enterprise9
Large Enterprise72
 

Questions from the Community

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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...
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 ...
What advice do you have for others considering SignalFx?
We're a customer and end-user. Currently, in France, we cannot use the artificial intelligence option. While this option is enabled for the United States and many countries, it's not yet available ...
 

Also Known As

No data available
Splunk Infrastructure Monitoring, Splunk Real User Monitoring (RUM), Splunk Synthetic Monitoring
 

Overview

 

Sample Customers

Citrix, Amdocs, Sysaid, Hexaware, Effibar, Revtrak, Taptica
Sunrun, Yelp, Onshape, Tapjoy, Symphony Commerce, Chairish, Clever, Grovo, Bazaar Voice, Zenefits, Avalara
Find out what your peers are saying about Loom Systems vs. Splunk Observability Cloud and other solutions. Updated: September 2026.
913,683 professionals have used our research since 2012.