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Loom Systems vs Splunk Observability Cloud comparison

 

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 (4th)
Splunk Observability Cloud
Ranking in IT Infrastructure Monitoring
4th
Average Rating
8.2
Reviews Sentiment
6.8
Number of Reviews
89
Ranking in other categories
Application Performance Monitoring (APM) and Observability (5th), Network Monitoring Software (7th), Cloud Monitoring Software (4th), Container Management (5th), Digital Experience Monitoring (DEM) (3rd)
 

Mindshare comparison

As of August 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 2.5%, up from 1.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.
IT Infrastructure Monitoring Mindshare Distribution
ProductMindshare (%)
Splunk Observability Cloud2.5%
Loom Systems0.5%
Other97.0%
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

"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."
"Bringing Loom in ensures that the incident process, request process, change, all of these processes are improved."
"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 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."
"We are happy with what we have, how it is deployed and how it serves the need we have deployed it to fill."
"Splunk Observability Cloud has helped me reduce my mean time to detect, and we have worked on around 80 applications last year for one particular client, and since the MTTR has improved drastically, they have given us 245 applications, which is around 150 applications added to the previous number of applications, which is definitely a performance improvement."
"The maintenance of Splunk Observability Cloud is very easy; it's manageable."
"The most valuable feature is dashboard creation."
"The Add data feature lets you gather any type of log and easily analyze it, which is easier than using other solutions like ArcSight or Elasticsearch, and we can use these logs with our data processes to explain our situation."
"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."
"With the metrics collection, I can proactively find incidents and work on the major issues when they happen and predict these issues."
 

Cons

"The reporting is a bit weak. They should work to improve this aspect of the product."
"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 reporting is a bit weak."
"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."
"The change management within the solution needs to be improved. There needs to be more process automation."
"I would rate Splunk technical support at six out of ten. When we have a problem and need to create a case, the response isn't quick."
"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 process terms. These categories of dashboards would be very helpful for customers."
"A wide variety of logging makes log onboarding difficult."
"The cardinality is pretty low."
"The feedback is that Splunk Observability Cloud is forcing me to modify my logs that I am ingesting in Splunk Observability Cloud in a specific format."
"The dashboards are used mainly to visualize information about the infrastructure, but it isn't easy to construct or use the dashboards. While we tried to resolve the issue by calling support, it would be easier if they had an AI co-pilot to identify the problem and help you solve it."
"Integrating some third-party add-ons can be challenging, involving many implementation and configuration steps."
"There are several performance enhancement areas for Splunk Observability Cloud. For instance, Splunk Observability Cloud's IT service intelligence core part needs improvements as clients request more IT services performance matrices than the current system supports."
 

Pricing and Cost Advice

Information not available
"The price of Splunk APM is less than some of its competitors."
"Splunk offers a 14-day free trial and after that, we have to pay but the cost is reasonable."
"It is expensive."
"The product is a bit expensive considering the competition but the company may negotiate the price."
"This is an expensive solution."
"It appears to be expensive compared to competitors."
"Splunk has been fairly expensive, but it has been predictable."
"The pricing is reasonable."
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Top Industries

By visitors reading reviews
No data available
Financial Services Firm
11%
Manufacturing Company
9%
Construction Company
8%
Computer Software Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business33
Midsize Enterprise9
Large Enterprise56
 

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: August 2026.
908,800 professionals have used our research since 2012.