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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
69th
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
2nd
Average Rating
8.2
Reviews Sentiment
6.7
Number of Reviews
106
Ranking in other categories
Application Performance Monitoring (APM) and Observability (5th), Network Monitoring Software (5th), Cloud Monitoring Software (2nd), Container Management (10th), Digital Experience Monitoring (DEM) (3rd)
 

Mindshare comparison

As of November 2026, in the IT Infrastructure Monitoring category, the mindshare of Loom Systems is 0.5%, up from 0.4% compared to the previous year. The mindshare of Splunk Observability Cloud is 2.6%, up from 2.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.
IT Infrastructure Monitoring Mindshare Distribution
ProductMindshare (%)
Splunk Observability Cloud2.6%
Loom Systems0.5%
Other96.9%
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 RFS portion of the solution is the product's most valuable feature."
"The solution is absolutely scalable."
"The solution is absolutely scalable. If an organization needs to expand it out they definitely can."
"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."
"Bringing Loom in ensures that the incident process, request process, change, all of these processes are improved."
"You can develop your own apps within Loom, and they can be configured very simply."
"Splunk Observability Cloud has positively impacted my organization because we have become huge clients."
"Previously with other applications, analyzing and controlling our API latency required almost five to six hours a day of resources, but with Splunk Observability Cloud, I only need to allocate one to two hours maximum per day to accomplish the same tasks."
"It supports proactive management, enhances security, and improves operational efficiency."
"My impression of Splunk Observability Cloud's out-of-the-box dashboards and detectors is that the visualization looks excellent, and the implementation is straightforward."
"Since using Splunk Observability Cloud and the Ansible Automation Platform, the overall mean time for resolve has reduced by 30x, averaging from 120 minutes down to 6.2 minutes, and I have potentially avoided 12,000 hours of downtime."
"Splunk Infrastructure Monitoring provided our customers with visibility into their overall infrastructure."
"The value was visible to the relevant audience as soon as we started the implementation, where it took the people a lot of manual efforts and time to diagnose their systems, they were able to get automated insights as an available feature within Splunk Observability Cloud."
"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."
 

Cons

"The reporting is a bit weak."
"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 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."
"There are always areas for potential improvement to enhance its functionality and user experience."
"The out-of-the-box customizable dashboards in Splunk Observability Cloud are very effective in showcasing IT performance to business leaders. However, there are aspects that could be improved, such as linking dashboards to one another."
"A lot of customers had a hard time effectively searching within the data in Splunk. There is a learning curve from searches to indexes and using all the macros that we have created. It is a little difficult for somebody who has not used it quite a bit and does not have a lot of practice with it, but the AI features that we have been hearing about through Splunk will make it a lot easier for us to use human language to search this data. That is big. That is pretty powerful, and that will help a lot with our customers."
"Support from Splunk is not very helpful because Splunk doesn't have a dedicated APM; they only have one APM engineer in Korea."
"The price has room for improvement."
"The integrations need to be improved for Splunk Observability Cloud."
"Once you see the issues related to the scalability part, you need to understand that it is a warning triangle. After seeing the warning triangle, you need to realize that you cannot trust any of the numbers you see in the chart because it is not a complete, full data set."
"From an admin perspective, there are pain points such as difficulty exporting data into Excel and a cumbersome setup process."
 

Pricing and Cost Advice

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

By visitors reading reviews
Construction Company
23%
Financial Services Firm
13%
Comms Service Provider
6%
Healthcare Company
6%
Financial Services Firm
11%
Manufacturing Company
9%
Outsourcing Company
8%
Construction Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business38
Midsize Enterprise9
Large Enterprise70
 

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: November 2026.
920,769 professionals have used our research since 2012.