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Avantra vs Datadog 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

Avantra
Ranking in Application Performance Monitoring (APM) and Observability
53rd
Ranking in IT Infrastructure Monitoring
52nd
Average Rating
8.6
Reviews Sentiment
7.2
Number of Reviews
5
Ranking in other categories
SAP Service Providers (15th), Server Monitoring (28th)
Datadog
Ranking in Application Performance Monitoring (APM) and Observability
1st
Ranking in IT Infrastructure Monitoring
2nd
Average Rating
8.6
Reviews Sentiment
7.0
Number of Reviews
209
Ranking in other categories
Network Monitoring Software (3rd), Log Management (4th), Container Monitoring (1st), Cloud Monitoring Software (1st), AIOps (1st), Cloud Security Posture Management (CSPM) (5th), AI Observability (1st)
 

Mindshare comparison

As of March 2026, in the Application Performance Monitoring (APM) and Observability category, the mindshare of Avantra is 1.2%, up from 0.2% compared to the previous year. The mindshare of Datadog is 5.2%, down from 9.5% 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%
Avantra1.2%
Other93.6%
Application Performance Monitoring (APM) and Observability
 

Featured Reviews

Mani Velayudhan - PeerSpot reviewer
Manager, SAP Basis at The Scotts Miracle-Gro Company
Can be fine-tuned as required, provides real-time data but lacks sufficient machine learning capability
In terms of machine learning, there are a few areas that can be improved including short terms in the SAP system. Currently, it requires a team member to manually read the short term and then assign it to a team rather than having it assigned automatically. A downside of Avantra is that it comes with predefined values. Another issue is that identical recurring problems create duplicate tickets rather than showing them as repeats. They also need to do some kernel updates which I believe they're working on but I haven't seen it yet; I'm hoping the solution will be completely automated. I would like to see more on the machine-learning front and to have some third-party tools.
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.

Quotes from Members

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

Pros

"The most valuable feature of Avantra is automation. The reduction of manual work and having them automated is one of the top reasons why I would use it."
"You can customize alerts based on need."
"It's very easy to manage and use."
"Real user monitoring gives us invaluable insights into actual user experiences, helping us prioritize improvements where they matter most."
"It has saved us a lot of trouble in implementation."
"Datadog has made it much easier to have a central place for people to look for logs and made it much easier to notify them of any elevated error rates or failures."
"The performance of Datadog is good."
"It is easy to implement and scale applications with standardized visibility, monitoring and alerting"
"The initial setup was straightforward from my own experience, helping integrate within the application and service levels."
"It is great that creating an incident is possible from Slack while having all the relevant data in Datadog."
"Its integration definitely stands out. It provides seamless monitoring of all our systems, services, apps, and whatever else we secure and monitor. Visualizations have become simpler with dashboards. We are getting visibility into systems, services, and apps stack through a single pane of glass, which is good. We are able to put logs in context."
 

Cons

"The dashboard needs to improve."
"We are currently exploring automation options for various areas, and Avantra should consider implementing automation for change request management, an area they have not yet ventured into. While Avantra is currently excelling in monitoring and system refreshes, there is scope for improvement in automating change request management. In addition to primarily focusing on SAP, Avantra currently performs kernel patches which are core SAP patches. However, exploring more into OS patching could be another potential area for Avantra to expand its automation capabilities."
"The machine-learning is lacking and should be improved."
"One area where the product could be improved is Application Performance Monitoring (APM)."
"They need to offer better/more customization on what logs we get and making tracing possible on Edge runtime logs is a real requirement."
"More granular control over dashboard sharing. Timeboard sharing."
"The setup was a bit complex."
"They could have better log reporting."
"I would like the tooling to have better integration in Slack, specifically sending out reminders to the relevant people to take breaks, do a retrospective, and specify with emojis which messages to log."
"While the documentation is very good, there are areas that need a lot of focus to pick up on the key details."
"While the tool is robust with many different capabilities, users would greatly benefit from more examples in the documentation."
 

Pricing and Cost Advice

Information not available
"Our licensing fees are paid on a monthly basis."
"The price of Datadog is reasonable. Other solutions are more expensive, such as AppDynamics."
"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 price is better than some competing products."
"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 tool is open-source."
"Sometimes it's very hard to project how much it will cost for the monthly subscription for the next month when you add certain features. Having better visibility of the cost would give a better experience."
"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."
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Top Industries

By visitors reading reviews
Financial Services Firm
10%
Computer Software Company
9%
Energy/Utilities Company
8%
Manufacturing Company
8%
Financial Services Firm
14%
Computer Software Company
10%
Manufacturing Company
8%
Healthcare Company
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business81
Midsize Enterprise46
Large Enterprise99
 

Questions from the Community

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Comparisons

 

Overview

 

Sample Customers

Migros, Strauss, Migros, LAM research, Deloitte, Deloitte, Kiewit
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
Find out what your peers are saying about Avantra vs. Datadog and other solutions. Updated: March 2026.
884,873 professionals have used our research since 2012.