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Loom Systems vs Splunk Observability Cloud comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Dec 28, 2025

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
4
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
75
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
ProductMarket Share (%)
Splunk Observability Cloud2.0%
Loom Systems0.6%
Other97.4%
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.
Dhananjay Dileep - PeerSpot reviewer
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.

Quotes from Members

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

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."
"The product retains a lot of log data for subsequent analysis."
"Great monitoring of network devices."
"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 feature is the ability to customize dashboards based on my queries or any other customization I may need."
"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."
"The Add data feature lets you gather any type of log and easily analyze it."
"I have primarily used it to go back into the past and understand why something happened. It provides enough information to do research and figure things out."
"The features are pretty much ready out of the box."
 

Cons

"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,"
"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 cost needs to be re-examined. It's extremely expensive to run. It's also expensive to expand. That's the number one complaint all of my customers have when it comes to Splunk. It's way too expensive compared to other solutions."
"This solution is difficult to configure and the instructions are complex."
"There is room for improvement in the alerting system, which is complicated and has less documentation available. We sometimes encountered issues in setting up alerts."
"The pricing would be one area for improvement."
"There is room for improvement in the alerting system, which is complicated and has less documentation available."
"Splunk APM should include a better correlation between resources and infrastructure monitoring."
"I've only experienced downtime, crashes, or performance issues when it isn't configured correctly."
"I would like to see an improvement and some innovation in the customer interface."
 

Pricing and Cost Advice

Information not available
"The solution's pricing is costly."
"Splunk Infrastructure Monitoring is an expensive solution."
"The product is a bit expensive considering the competition but the company may negotiate the price."
"Splunk APM is expensive."
"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."
"I would rate the price of Splunk Infrastructure Monitoring as an eight out of ten, with ten being the most expensive."
"Splunk has been fairly expensive, but it has been predictable."
"The price of Splunk APM is less than some of its competitors."
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Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business20
Midsize Enterprise10
Large Enterprise47
 

Questions from the Community

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What do you like most about SignalFx?
The most valuable feature is dashboard creation.
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 ...
 

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: January 2026.
881,082 professionals have used our research since 2012.