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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
209
Ranking in other categories
Network Monitoring Software (3rd), IT Infrastructure Monitoring (2nd), Log Management (4th), Container Monitoring (1st), 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
70th
Average Rating
10.0
Number of Reviews
1
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of March 2026, in the Application Performance Monitoring (APM) and Observability category, the mindshare of Datadog is 5.2%, down from 9.5% compared to the previous year. The mindshare of Scout APM is 0.5%, up from 0.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Application Performance Monitoring (APM) and Observability Mindshare Distribution
ProductMindshare (%)
Datadog5.2%
Scout APM0.5%
Other94.3%
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

"Datadog's learning platform is second to none."
"I find the greatest feature is being able to search across logs from various microservices."
"The interface and the integrations make it so easy to connect to the cloud or to the on-premise environment."
"The solution is sufficiently stable."
"For us to have visibility into our app stack and the hardware we run has been highly beneficial."
"The initial setup is very straightforward."
"Datadog has alerting events and metrics all in one place; this was a huge plus, other solutions were trying to treat monitoring as a multi-faceted problem, while Datadog treated it as one problem."
"It brings in observability, monitoring, and alerting capabilities - all of which we need to operate at scale."
"The product can scale."
 

Cons

"I love to have some DD guru come in and do a department training directly at our setup."
"We have recently had a number of issues with stability and delays on logging, monitoring, metric evaluation, and alerts."
"The hardest thing we experience is just training people on what to search for when identifying a problem in Datadog, and having some additional training that might be easily accessible would probably be a benefit."
"It's not just that Datadog is expensive—it's that the cost is incredibly complex and hard to predict."
"Since the Datadog platform has so many separate features, solving so many use cases, there are often inconsistencies in feature availability and interoperability between products."
"The UI has a lot going on. It should be simpler and have a better way to onboard someone new to using Datadog."
"I'm not sure if Datadog can monitor K8s deployments in real-time. For instance, being able to see a deployment step by step visually. This would be helpful if there were any incidents during the deployment."
"I want to applaud the efforts in making the UI extremely usable and approachable. My suggestion would be to take another look at how the menu structure is put together, however. Even after using the platform mostly every day for months, I still find myself trying to find a service or feature in the menus."
"I can't recall coming across any missing features."
 

Pricing and Cost Advice

"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."
"The solution is fairly priced but history and log storage can get costly depending on your needs."
"Our licensing fees are paid on a monthly basis."
"They prefer monthly subscriptions."
"My advice is to really keep an eye on your overage costs, as they can spiral really fast."
"Pricing seemed easy until the bill came in and some things were not accounted for."
"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."
"The solution's pricing depends on project volume."
Information not available
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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

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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: March 2026.
884,933 professionals have used our research since 2012.