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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
64th
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
7th
Average Rating
8.2
Reviews Sentiment
6.8
Number of Reviews
88
Ranking in other categories
Application Performance Monitoring (APM) and Observability (6th), Network Monitoring Software (7th), Cloud Monitoring Software (5th), Container Management (6th), Digital Experience Monitoring (DEM) (3rd)
 

Mindshare comparison

As of June 2026, in the IT Infrastructure Monitoring category, the mindshare of Loom Systems is 0.5%, up from 0.2% compared to the previous year. The mindshare of Splunk Observability Cloud is 2.2%, up from 1.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.
IT Infrastructure Monitoring Mindshare Distribution
ProductMindshare (%)
Splunk Observability Cloud2.2%
Loom Systems0.5%
Other97.3%
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

"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 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."
"You can develop your own apps within Loom, and they can be configured very simply."
"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 product's deployment phase is good and very easy because it is done with OpenTelemetry for most of the parts."
"The tool's stability is great."
"Previously, we faced a systematic performance lag of around twenty to thirty percent, which has now reduced to just two to five percent—an improvement we can credibly showcase to our clientele."
"Comparing to Cloud, Splunk Cloud, or any other solution, the most valuable feature of Splunk Observability Cloud is that it is entirely based on metrics."
"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."
"Splunk Observability Cloud scales with the growing needs of my organization effectively."
"I manage six tools, but Splunk Observability Cloud is one of my favorites, and I aspire to build my career specializing in it because it has great features, more attention in the market, and is a relatively new tool with promising growth."
"Splunk Observability Cloud has optimized our solutions and helped us understand the metrics."
 

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, especially in the initial setup which can take six months of work, especially when you have a large estate that you're dealing with."
"What's lacking in Loom Systems is the level of priority for each incident."
"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."
"I need a tool that can deal with all the security solutions that will find security monitoring compliance requirements, so I'll stick to BigFix over Splunk because I'm not that big a fan of Splunk, to be honest."
"I've been using the Splunk query language, and it can be a bit time-consuming to set up the queries I need."
"The solution's stability is an area that has room for improvement. It needs to provide constant stability to its users."
"The monitoring of workloads when using SignalFx could be improved."
"They do not have all the features that I expect right now."
"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."
"In terms of additional features I would want to see in future releases, since Cisco acquired Splunk, more Cisco integration could be beneficial."
"Particularly what we're having is disconnection from the cloud console, where we will be working in it and receive a message saying that we've been disconnected and have to wait for it to come up."
 

Pricing and Cost Advice

Information not available
"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."
"Splunk APM is expensive."
"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."
"Splunk has been fairly expensive, but it has been predictable."
"Splunk Infrastructure Monitoring is an expensive solution."
"Splunk Observability Cloud is expensive."
"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
Construction Company
22%
Computer Software Company
10%
Financial Services Firm
10%
Outsourcing Company
8%
Financial Services Firm
13%
Manufacturing Company
9%
Computer Software Company
8%
Construction Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business32
Midsize Enterprise8
Large Enterprise55
 

Questions from the Community

Ask a question
Earn 20 points
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: June 2026.
900,644 professionals have used our research since 2012.