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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
6.9
Number of Reviews
211
Ranking in other categories
Application Performance Monitoring (APM) and Observability (1st), Network Monitoring Software (3rd), Log Management (4th), Container Monitoring (3rd), Cloud Monitoring Software (1st), AIOps (1st), Cloud Security Posture Management (CSPM) (5th), AI Observability (1st)
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 July 2026, in the IT Infrastructure Monitoring category, the mindshare of Datadog is 3.8%, down from 5.5% compared to the previous year. The mindshare of Loom Systems is 0.5%, up from 0.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.
IT Infrastructure Monitoring Mindshare Distribution
ProductMindshare (%)
Datadog3.8%
Loom Systems0.5%
Other95.7%
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

"If we have a large load for users using our basic Datadog, it will immediately fire off an alert notifying us either something's wrong or not."
"The many dozens of integrations that the solution brings out of the box are excellent."
"Several critical dashboards were created years ago and are still in use today."
"Our usage of Datadog has allowed us to improve our observability at great lengths."
"The initial setup was straightforward from my own experience, helping integrate within the application and service levels."
"Datadog provided us the ability to monitor our cloud infrastructure (network, servers, storage), platform/middleware (database, web/applications servers, business process automation), and business applications across our cloud providers."
"Monitors have also been very valuable when setting up our on-call processes. It makes it easy to set up and adjust alerting to keep our teams aware of anything going wrong."
"Datadog has a very good visualization for my complete infrastructure and network traffic, which enabled me to create a capacity plan."
"The RFS portion of the solution is the product's most valuable feature."
"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."
"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 absolutely scalable. If an organization needs to expand it out they definitely can."
"Bringing Loom in ensures that the incident process, request process, change, all of these processes are improved."
 

Cons

"Even though it is powerful on its own, the UI-based design lacks elegance, efficiency, and complexity."
"We would really like to see more from the Service Catalog."
"Users need to be aware of licensing control. With autodiscovery, the product can begin to come at a high cost."
"The ability to find what you are looking for when starting out could be improved."
"The product needs a better Datadog agent installation."
"In production, we intend to use trace IDs generated by RUM to attach to support tickets when a user experiences a traceable network error, and we want to display this trace ID to the user so if they were to contact us about a specific issue, they can provide us an exact ID displayed to them back to us. Currently, this is not possible out-of-the-box client-side without inventing our own solution for capturing these trace IDs, such as shimming the native fetch or returning the ID from the service response."
"The pricing model could be simplified as it feels a bit outdated, especially when you look at the billing model of compute instances vs the containers instances."
"Another issue that I have is with the search syntax, it could be simpler and it feels like there are too many ways to do the same things."
"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."
"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 reporting is a bit weak."
 

Pricing and Cost Advice

"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."
"The pricing and licensing through AWS Marketplace has been good. It would be nice if it was cheaper, but their pricing is reasonable for what it is. Sometimes, for their newer features, they charge as if it's fully fleshed out, even though it is a newer feature and it may have less stuff than their other items."
"The pricing came up a bit compared to their competitors. It is not that the price has risen, but that the competitors have gone down. They keep adding more features that I would have expected to be baked in at a more nominal price. I have been increasingly dissatisfied with the pricing, but not enough to jump ship."
"The solution is fairly priced but history and log storage can get costly depending on your needs."
"Datadog does not provide any free plans to use the solution. When I start with a proof of concept it would be sensible to have a free plan to test the tool and check whether it fits the requirements of the project. Before the production stage, it is always good to have a free plan with some limited features, number of requests, or logs."
"This solution is budget friendly."
"It didn't scale well from the cost perspective. We had a custom package deal."
"It is easy to run up a large bill, so become familiar with the cost of each piece of your bill and use the metrics they supply to estimate and monitor your bill."
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Top Industries

By visitors reading reviews
Financial Services Firm
15%
Manufacturing Company
9%
Computer Software Company
8%
Outsourcing Company
6%
Construction Company
23%
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 Business82
Midsize Enterprise49
Large Enterprise100
No data available
 

Questions from the Community

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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: June 2026.
902,988 professionals have used our research since 2012.