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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."
"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 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."
"The solution is absolutely scalable."
"The solution is absolutely scalable. If an organization needs to expand it out they definitely can."
"In terms of the application performance security, application performance tooling has been a key factor for me using Splunk."
"Splunk Observability Cloud has helped reduce our mean time to detect by ninety percent."
"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."
"Splunk Observability Cloud has helped to improve not just the operational performance but also the entire enterprise platform reliability, as well as the availability of the entire platform, which has greatly increased because of it."
"Customer service and technical support respond very quickly."
"Recently, Splunk Observability Cloud was used for monitoring our Kubernetes cluster; we have around 35 to 40 Kubernetes clusters, and when one of the pods was down we received an alert, investigated why the pod was failing, looked at the logs in Splunk Cloud, and were able to troubleshoot the issue and resolve it soon."
"We are now able to monitor our infrastructure and get the information in real-time should anything happen."
"Splunk Infrastructure Monitoring reduces our mean time to resolve. We are more proactive than reactive."
 

Cons

"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."
"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. They should work to improve this aspect of the product."
"What's lacking in Loom Systems is the level of priority for each incident."
"The reporting is a bit weak."
"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."
"We never had any issues when it comes to the type of use cases we are using it for. We did not need more advancement on it, but I know that, in general, everything can be updated. There are tiny little tweaks that can be made regardless of whether it looks better or has a different flow to it than it does right now, but it works pretty well for what we use it for."
"The integrations need to be improved for Splunk Observability Cloud."
"Support from Splunk is not very helpful because Splunk doesn't have a dedicated APM; they only have one APM engineer in Korea."
"Regarding the negative side, I think the licensing can be much better because it is based upon host units and there is additional licensing for the number of traces that I can bring in."
"There are always areas for potential improvement to enhance its functionality and user experience."
"In the next release, I would like to see more integration with other solutions."
"The cost needs to be re-examined. It's extremely expensive to run."
 

Pricing and Cost Advice

Information not available
"Splunk offers a 14-day free trial and after that, we have to pay but the cost is reasonable."
"Splunk APM is expensive."
"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."
"The price of Splunk APM is less than some of its competitors."
"The pricing is based on several factors, including the scale of deployment."
"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."
"The product is a bit expensive considering the competition but the company may negotiate the price."
"I would rate the price of Splunk Infrastructure Monitoring as an eight out of ten, with ten being the most expensive."
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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.