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BigPanda vs Loom Systems comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Oct 9, 2024

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

BigPanda
Ranking in IT Infrastructure Monitoring
22nd
Average Rating
7.6
Reviews Sentiment
6.9
Number of Reviews
20
Ranking in other categories
IT Alerting and Incident Management (10th), AIOps (9th)
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)
 

Mindshare comparison

As of June 2026, in the IT Infrastructure Monitoring category, the mindshare of BigPanda is 0.6%, down from 0.9% compared to the previous year. The mindshare of Loom Systems is 0.5%, up from 0.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.
IT Infrastructure Monitoring Mindshare Distribution
ProductMindshare (%)
BigPanda0.6%
Loom Systems0.5%
Other98.9%
IT Infrastructure Monitoring
 

Featured Reviews

Michael Wenn - PeerSpot reviewer
CEO / Co-Founder at Aiops ltd
Automated incident workflows have reduced alert noise and now improve response efficiency
In my opinion, the best feature of BigPanda is its speed in terms of deployment. It has very strong integration with all of the major platforms and workflows that organizations need. The biggest customers are enterprises like HSBC and Barclays. Implementing something effective for them that dramatically reduces meantime to repair and the number of incidents is substantially difficult, as projects can often extend three years with very small results. BigPanda is different; it is a tool relied on by many enterprises, fitting over existing toolsets rather than trying to replace them, which makes it non-competitive to many existing alerts and monitoring tools. It enhances existing systems to provide actionable intelligence for business solutions.
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.

Quotes from Members

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

Pros

"The event correlation is really good and it is able to reduce the noise. It is a good tool for anomaly detection."
"BigPanda is an endpoint protection solution against ransomware."
"The most valuable features of BigPanda are the API integration was good. It enables us to do faster onboarding."
"The program is very stable."
"If you're looking for a SaaS which truly believes in software as a service, BigPanda is definitely the solution to go for."
"Easy integration - We've had challenges in the past integrating all of our various monitoring sources and tools into one central system. BigPanda, with the integrations that it already has, as well as offering webhook/REST API, has made it very easy for us to plug everything in."
"BigPanda improves service reliability with instant resolution, increased uptime, and reduced mean time to resolution, thus enhancing service quality."
"I rate BigPanda nine out of ten."
"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."
"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."
"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. If an organization needs to expand it out they definitely can."
 

Cons

"The solutions were quite useful but not completely stable."
"When handling critical traffic, the BigPanda site can slow down, which we manage with a load balancer."
"It would be beneficial for BigPanda to offer detailed error descriptions similar to what AppDynamics and ThousandEyes provide."
"BigPanda attempts a little of everything and fails at most; the AI, in particular, was worthless, and the visualization is primitive and not configurable."
"Our infrastructure is quite large - tens of thousands of servers, often with 30-plus checks running on each host with one minute intervals. This generates a lot of data often in bursts (when we have a large scale failure), and this has caused some delay in the ingestion pipeline."
"We had to use a partner for the deployment."
"The UI for this solution could be improved. It is very hard to find what you are looking for."
"Lacks sufficient dashboard features."
"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 reporting is a bit weak. They should work to improve this aspect of the product."
"The change management within the solution needs to be improved. There needs to be more process automation."
"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."
 

Pricing and Cost Advice

"We pay $200,000 USD per year."
"They were great to work with on pricing/licensing. Given we are a high-growth company, we needed a flexible site license."
"BigPanda is cheaper than the competitors."
"The price of BigPanda is in the middle compared to other solutions."
Information not available
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Top Industries

By visitors reading reviews
Financial Services Firm
24%
Manufacturing Company
9%
Healthcare Company
6%
Outsourcing Company
6%
Construction Company
22%
Computer Software Company
10%
Financial Services Firm
10%
Outsourcing Company
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business6
Large Enterprise12
No data available
 

Questions from the Community

Any advice about APM solutions?
There are many factors and we know little about your requirements (size of org, technology stack, management systems, the scope of implementation). Our goal was to consolidate APM and infra monitor...
What is your experience regarding pricing and costs for BigPanda?
Regarding extra expenses, I pay more for communication and do not incur costs for another dashboard perspective, but there are indirect costs related to managing open-source products, leading to re...
What needs improvement with BigPanda?
Something that comes to mind regarding improvements is communication, as I rely heavily on another tool. If BigPanda could provide communication capabilities beyond just sending notifications—such ...
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Overview

 

Sample Customers

Nagios, ServiceNow, ITSM, NOC, CMDB Evolved, RemedyIncident Management Process
Citrix, Amdocs, Sysaid, Hexaware, Effibar, Revtrak, Taptica
Find out what your peers are saying about BigPanda vs. Loom Systems and other solutions. Updated: June 2026.
900,644 professionals have used our research since 2012.