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Datadog vs Scout APM comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Oct 19, 2025

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
206
Ranking in other categories
Network Monitoring Software (4th), IT Infrastructure Monitoring (3rd), Log Management (4th), Container Monitoring (2nd), Cloud Monitoring Software (2nd), AIOps (1st), Cloud Security Posture Management (CSPM) (6th)
Scout APM
Ranking in Application Performance Monitoring (APM) and Observability
64th
Average Rating
10.0
Number of Reviews
1
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of October 2025, in the Application Performance Monitoring (APM) and Observability category, the mindshare of Datadog is 7.4%, down from 10.4% 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 Market Share Distribution
ProductMarket Share (%)
Datadog7.4%
Scout APM0.4%
Other92.2%
Application Performance Monitoring (APM) and Observability
 

Featured Reviews

Dhroov Patel - PeerSpot reviewer
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
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

"The web app has a real-time support chat window in which a support engineer is chatting with you within a minute."
"The ease of use allowed me to get up to speed with log management since it's my first time using Datadog."
"Real user monitoring gives us invaluable insights into actual user experiences, helping us prioritize improvements where they matter most."
"When an alert fires, our on-call engineer can see the infrastructure metric spike (like CPU), pivot directly to the application traces (APM) running on that host, and see the exact, correlated logs from the services causing the problem—all in one place."
"We rely heavily on the API crawlers that Datadog uses for cloud integrations. These allow us to pick up and leverage the tags teams have already deployed without having also to make them add them at the agent level."
"Several critical dashboards were created years ago and are still in use today."
"Profiling has been made easier."
"The integration into AWS is key as well as our software is currently bound to AWS."
"The product can scale."
 

Cons

"I'm still exploring the trial version, and it is fine. One thing that I haven't been able to figure out is how to retrieve a report. This is something that could be improved. I probably need to navigate to a place to access the reports."
"The Log Explorer could be better. I don't think it has log manipulation as Splunk does."
"More helpful log search keywords/tips would be helpful in improving Datadog's log dashboard."
"While it’s powerful, the interface can feel cluttered and overwhelming for new users."
"It can have an artificial intelligence component. Even though I can seamlessly look at end-to-end security, it would be better to have alerts and notifications powered by an AI engine. I am not sure if they have an AI component. We have not reached out to them or looked at it, but this is something that I keep on talking about within our company in terms of features. Such a feature would be good to have, and it would further optimize my Security Ops team's abilities."
"We did have an issue where a synthetic test was set up before the holiday break, and we were quickly charged a great amount. Our team worked with Datadog, and they were able to help us out since it was inadvertent on our end and was a user error."
"Alerting timing should be improved to be more fine-tuned and exact."
"Datadog can be improved by addressing billing and spend calculation methods, as it would be better if these were more straightforward."
"I can't recall coming across any missing features."
 

Pricing and Cost Advice

"​Pricing seems reasonable. It depends on the size of your organization, the size of your infrastructure, and what portion of your overall business costs go toward infrastructure."
"The solution is fairly priced but history and log storage can get costly depending on your needs."
"My advice is to really keep an eye on your overage costs, as they can spiral really fast."
"The solution's pricing depends on project volume."
"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."
"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."
"If you do your homework, you'll find that if you're really concerned with cost, it's good."
"They prefer monthly subscriptions."
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Top Industries

By visitors reading reviews
Financial Services Firm
15%
Computer Software Company
14%
Manufacturing Company
8%
Retailer
6%
No data available
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business80
Midsize Enterprise46
Large Enterprise94
No data available
 

Questions from the Community

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Comparisons

 

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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: October 2025.
872,655 professionals have used our research since 2012.