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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
6.9
Number of Reviews
211
Ranking in other categories
Network Monitoring Software (3rd), 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
82nd
Average Rating
10.0
Number of Reviews
1
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of August 2026, in the Application Performance Monitoring (APM) and Observability category, the mindshare of Datadog is 4.4%, down from 9.0% compared to the previous year. The mindshare of Scout APM is 0.4%, 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 (%)
Datadog4.4%
Scout APM0.4%
Other95.2%
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

"I like Datadog because it is so easy use, I can easily connect to public clouds, and I have a view of observability."
"The product has offered increased visibility via logging APM, metrics, RUM, etc."
"We use the application for our application monitoring, data security monitoring, and log management, and it helps us to track issues proactively instead of reactively."
"Datadog's learning platform is second to none."
"The initial setup was straightforward from my own experience, helping integrate within the application and service levels."
"With Datadog, we managed to get everyone on board into a single place and a single tool, providing teams with one spot where they can check everything related to monitoring, and enabling management and leadership to have an overview of all tools working together."
"The dashboards are super convenient to us for a more zoomed out view of what is going on with each integration that we utilize."
"Profiling has been made easier."
"The product can scale."
"Everything that is around the digital performance environment, I can see."
 

Cons

"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 largest pain point we've had with Datadog to this point was onboarding."
"We have contact with many customers that cover many areas, so we have cases where the infrastructure administration could be improved."
"Datadog isn't as mature as some of the established players like Dynatrace or Splunk. It's a new product, so they are constantly releasing new features, and I don't have much to complain about."
"We need more visibility into the error tracking dashboard."
"It lacks consistency in the APIs."
"It is far too easy to run up huge unexpected costs."
"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."
"I can't recall coming across any missing features."
 

Pricing and Cost Advice

"It didn't scale well from the cost perspective. We had a custom package deal."
"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."
"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."
"The solution is fairly priced but history and log storage can get costly depending on your needs."
"While it is an expensive product, I would rate the pricing level at four out of five."
"This solution is budget friendly."
"The cost is high and this can be justified if the scale of the environment is big."
"The price of Datadog is reasonable. Other solutions are more expensive, such as AppDynamics."
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Top Industries

By visitors reading reviews
Financial Services Firm
14%
Manufacturing Company
9%
Computer Software Company
8%
Outsourcing Company
6%
Financial Services Firm
20%
Construction Company
13%
Outsourcing Company
9%
Retailer
7%
 

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

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
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: August 2026.
908,834 professionals have used our research since 2012.