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Datadog vs Loom Systems comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Jan 25, 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

Datadog
Ranking in IT Infrastructure Monitoring
2nd
Average Rating
8.6
Reviews Sentiment
7.0
Number of Reviews
209
Ranking in other categories
Application Performance Monitoring (APM) and Observability (1st), Network Monitoring Software (3rd), Log Management (4th), Container Monitoring (1st), Cloud Monitoring Software (1st), AIOps (1st), Cloud Security Posture Management (CSPM) (5th), AI Observability (1st)
Loom Systems
Ranking in IT Infrastructure Monitoring
61st
Average Rating
8.0
Reviews Sentiment
6.9
Number of Reviews
4
Ranking in other categories
Anomaly Detection Tools (5th)
 

Mindshare comparison

As of April 2026, in the IT Infrastructure Monitoring category, the mindshare of Datadog is 4.1%, down from 6.0% 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 (%)
Datadog4.1%
Loom Systems0.5%
Other95.4%
IT Infrastructure Monitoring
 

Featured Reviews

Dhroov Patel - PeerSpot reviewer
Site Reliability Engineer at Grainger
Has improved incident response with better root cause visibility and supports flexible on-call scheduling
Datadog needs to introduce more hard limits to cost. If we see a huge log spike, administrators should have more control over what happens to save costs. If a service starts logging extensively, I want the ability to automatically direct that log into the cheapest log bucket. This should be the case with many offerings. If we're seeing too much APM, we need to be aware of it and able to stop it rather than having administrators reach out to specific teams. Datadog has become significantly slower over the last year. They could improve performance at the risk of slowing down feature work. More resources need to go into Fleet Automation because we face many problems with things such as the Ansible role to install Datadog in non-containerized hosts. We mainly want to see performance improvements, less time spent looking at costs, the ability to trust that costs will stay reasonable, and an easier way to manage our agents. It is such a powerful tool with much potential on the horizon, but cost control, performance, and agent management need improvement. The main issues are with the administrative side rather than the actual application.
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

"By combining multiple capabilities or features together, there is full visibility across the technology stacks and we can identify specific bottlenecks or areas where risks and vulnerabilities are likely to exist."
"Datadog's ability to group and visualize the servers and the data makes it relatively easy for the root cause analysis."
"If you are monitoring the metrics and insights in your application, and need help monitoring, then this is a great application to look into."
"The most valuable features of Datadog are the flexibility and additional features when compared to other solutions, such as AppDynamics and Dynatrace. Some of the features include AI and ML capabilities and cloud and analysis monitoring"
"It is great that creating an incident is possible from Slack while having all the relevant data in Datadog."
"The ability to send notifications based on metadata from the monitor is helpful."
"Its integration definitely stands out. It provides seamless monitoring of all our systems, services, apps, and whatever else we secure and monitor. Visualizations have become simpler with dashboards. We are getting visibility into systems, services, and apps stack through a single pane of glass, which is good. We are able to put logs in context."
"The setup cost was minimal."
"What I like best about Loom Systems is that you can use it for infrastructure monitoring and that it's a flexible solution."
"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."
"The solution is absolutely scalable."
"You can develop your own apps within Loom, and they can be configured very simply."
"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 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."
 

Cons

"The parallel editing of the dashboards should not cause users to lose the work of another person."
"Ingesting data from various sources to monitor the log metrics of the system can always improve so that, if something goes wrong, the right teams are alerted."
"The real issue with this product is cost control."
"The correlation between the logs and the metrics needs improvement as most cases, we might use another logging tool (that is cheaper in cost) which we then have to link together."
"We want to reduce having to go to different screens to obtain all the information."
"They could have better log reporting."
"We would like to see smaller or shorter tutorials and video sessions."
"The UI has a lot going on. It should be simpler and have a better way to onboard someone new to using Datadog."
"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."
"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."
"The reporting is a bit weak."
"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."
"The discovery and mapping still takes a lot of human intervention, it's quite resource heavy,"
 

Pricing and Cost Advice

"It costs the same amount it would if we were hosting it ourselves, so we are incredibly happy with the cost."
"The solution's pricing depends on project volume."
"At my last company, we did see ROI, specifically around response time. We could get to mission critical things that were down and losing revenue on immediately. So, the product paid itself back."
"My advice is to really keep an eye on your overage costs, as they can spiral really fast."
"It has a module-based pricing model."
"I am not satisfied with its licensing. Its payment is based on the exported data, and there was an explosion of the data for three or four weeks. My customer was not alerted, and there was no way for them to see that there has been an explosion of data. They got a big invoice for one or two months. The pricing model of Datadog is based on the data. The customer was quite surprised about not being alerted about this explosion of data. They should provide some kind of alert when there is an increase in usage."
"Pricing seemed easy until the bill came in and some things were not accounted for."
"It didn't scale well from the cost perspective. We had a custom package deal."
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Top Industries

By visitors reading reviews
Financial Services Firm
14%
Computer Software Company
10%
Manufacturing Company
8%
Healthcare Company
6%
No data available
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business81
Midsize Enterprise46
Large Enterprise99
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...
Datadog vs ELK: which one is good in terms of performance, cost and efficiency?
With Datadog, we have near-live visibility across our entire platform. We have seen APM metrics impacted several times lately using the dashboards we have created with Datadog; they are very good c...
Which would you choose - Datadog or Dynatrace?
Our organization ran comparison tests to determine whether the Datadog or Dynatrace network monitoring software was the better fit for us. We decided to go with Dynatrace. Dynatrace offers network ...
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Comparisons

 

Overview

 

Sample Customers

Adobe, Samsung, facebook, HP Cloud Services, Electronic Arts, salesforce, Stanford University, CiTRIX, Chef, zendesk, Hearst Magazines, Spotify, mercardo libre, Slashdot, Ziff Davis, PBS, MLS, The Motley Fool, Politico, Barneby's
Citrix, Amdocs, Sysaid, Hexaware, Effibar, Revtrak, Taptica
Find out what your peers are saying about Datadog vs. Loom Systems and other solutions. Updated: March 2026.
885,667 professionals have used our research since 2012.