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Datadog vs Scout APM 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 Application Performance Monitoring (APM) and Observability
1st
Average Rating
8.6
Reviews Sentiment
7.0
Number of Reviews
210
Ranking in other categories
Network Monitoring Software (4th), IT Infrastructure Monitoring (2nd), Log Management (4th), Container Monitoring (3rd), Cloud Monitoring Software (1st), AIOps (1st), Cloud Security Posture Management (CSPM) (5th), AI Observability (1st)
Scout APM
Ranking in Application Performance Monitoring (APM) and Observability
75th
Average Rating
10.0
Number of Reviews
1
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of May 2026, in the Application Performance Monitoring (APM) and Observability category, the mindshare of Datadog is 4.7%, down from 9.3% compared to the previous year. The mindshare of Scout APM is 0.4%, up from 0.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Application Performance Monitoring (APM) and Observability Mindshare Distribution
ProductMindshare (%)
Datadog4.7%
Scout APM0.4%
Other94.9%
Application Performance Monitoring (APM) and Observability
 

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.
Antonio_Barros - PeerSpot reviewer
Regional Manager LatAm at Splunk
Great visibility and reliability with fair pricing
The solution is stable. It's pretty easy to set up, especially if you have the knowledge base and/or you have a partner assist you. The product can scale. The processes are great. It helps with services and microservices. The product is great for man different industries, including energy, government, finance, and more.

Quotes from Members

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

Pros

"Thanks to the logs, we manage to make better reports through Jira and also to trace the request with more facility than we would be able to do otherwise."
"Our usage of Datadog has allowed us to improve our observability at great lengths."
"Datadog has a lot of features to be able to drill down deep into the swath of logs that our platforms generate."
"The feature I have found most valuable is when I can reuse existing monitors and alerts for new dashboards."
"Datadog's ability to group and visualize the servers and the data makes it relatively easy for the root cause analysis."
"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."
"Every squad is now confident in their ability to quickly identify and diagnose issues when they arise."
"In terms of the public cloud provider integration of AWS, I would say it's very easy and straightforward to integrate."
"The product can scale."
"Everything that is around the digital performance environment, I can see."
 

Cons

"Some of the interface is still confusing to use."
"Datadog is too pricey when compared to its competitors, and this is something that its always on my mind during the decision-making process."
"They could have better log reporting."
"We would like to see smaller or shorter tutorials and video sessions."
"The on-premise version is very difficult to upgrade."
"Datadog could improve the flexibility with AI and ML concepts."
"It is very difficult to make the solutions fit perfectly for large organizations, especially in terms of high cardinality objects and multi-tenancy, where the data needs to be rolled up to a summarized level while maintaining its individual data granularity and identifiers."
"One of the improvement opportunities that we have identified in my project concerns how hard it is to manage an organizational structure when you have multiple things in one organization, and you want to provide some kind of isolation between them."
"I can't recall coming across any missing features."
 

Pricing and Cost Advice

"Pricing and licensing are reasonable for what they give you. You get the first five hosts free, which is fun to play around with. Then it's about four dollars a month per host, which is very affordable for what you get out of it. We have a lot of hosts that we put a lot of custom metrics into, and every host gives you an allowance for the number of custom metrics."
"The price is better than some competing products."
"It didn't scale well from the cost perspective. We had a custom package deal."
"It has a module-based pricing model."
"If you do your homework, you'll find that if you're really concerned with cost, it's good."
"Our licensing fees are paid on a monthly basis."
"It has always scaled for us. Cost scales up too, but that is not necessarily a bad thing. It's reasonable for what they're providing."
"Pricing is somewhat affordable compared to other solutions but in order to really lower the costs of other products you need to plan very carefully your resources usage, otherwise, it can get expensive real quick."
Information not available
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Top Industries

By visitors reading reviews
Financial Services Firm
14%
Computer Software Company
9%
Manufacturing Company
8%
Healthcare Company
6%
Financial Services Firm
16%
Construction Company
11%
Retailer
11%
Comms Service Provider
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business82
Midsize Enterprise47
Large Enterprise100
No data available
 

Questions from the Community

Any advice about APM solutions?
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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
Chargify, Synctree, Aptuitiv, Barnes and Noble, Journey, Geosnapshot, Kongregate, PaperTrail, Adobe, SendGrid, Sentry
Find out what your peers are saying about Datadog, Dynatrace, Splunk and others in Application Performance Monitoring (APM) and Observability. Updated: April 2026.
893,244 professionals have used our research since 2012.