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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
52nd
Ranking in IT Infrastructure Monitoring
51st
Average Rating
8.6
Reviews Sentiment
7.2
Number of Reviews
5
Ranking in other categories
SAP Service Providers (15th), Server Monitoring (29th)
Datadog
Ranking in Application Performance Monitoring (APM) and Observability
1st
Ranking in IT Infrastructure Monitoring
2nd
Average Rating
8.6
Reviews Sentiment
6.9
Number of Reviews
211
Ranking in other categories
Network Monitoring Software (3rd), Log Management (4th), Container Monitoring (3rd), Cloud Monitoring Software (1st), AIOps (1st), Cloud Security Posture Management (CSPM) (6th), AI Observability (1st)
 

Mindshare comparison

As of August 2026, in the Application Performance Monitoring (APM) and Observability category, the mindshare of Avantra is 1.4%, up from 0.2% compared to the previous year. The mindshare of Datadog is 4.4%, down from 9.0% 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%
Avantra1.4%
Other94.2%
Application Performance Monitoring (APM) and Observability
 

Featured Reviews

Mani Velayudhan - PeerSpot reviewer
Manager, SAP Basis at The Scotts Miracle-Gro Company
Useful automation capabilities, scales well, and simple implementation
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. Looking ahead to future releases, I would like to see more advanced automation features. As a long-term goal, I am considering the possibility of automating SAP system upgrades. While this would not be an easy feat, advancements in technology may make it feasible in the future. Overall, a key feature I hope to see in future releases is increased automation capabilities.
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

"It's very easy to manage and use."
"I definitely recommend this solution, it provides good value for money."
"You can customize alerts based on need."
"It's just very user-friendly, and it's very easy to monitor the servers using Avantra."
"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."
"It prevented two major failures in our SAP production systems."
"Deployment was amazingly short and simple; I do not think I have seen any SAP-related product installs ready to work so fast, and out-of-box it included most of the functions and settings that we needed."
"The ease of dashboard creation and alarm monitoring has helped us not only stay competitive but be industry leaders in performance."
"The APM has made observability and tracing more accessible to developers."
"We have a better grasp of what is occurring during the deployment cycle. If something fails, we have an idea what has failed, where it has failed, and how it failed to better mitigate the situation."
"It is great that creating an incident is possible from Slack while having all the relevant data in Datadog, as it allows us to not think too much about organizing incidents in a highly stressful situation."
"The product has created a paradigm shift in how we deploy monitoring."
"For us to have visibility into our app stack and the hardware we run has been highly beneficial."
"Our primary alerts, based on metrics and synthetic transactions, are the most used and relied upon for decreased MTTA/MTTR across all of our platforms. This is followed by deep log analysis that enables us to quickly and easily get to a preliminary root cause that someone on the infrastructure, platform or development teams can take and focus their attention on the precise target that Datadog revealed as the issue to be remediated."
"Sometimes it's more user friendly for development teams, and there are parts of Datadog that are more understandable for development teams; for example, the APM in Datadog works more manually and works like the tools in New Relic, Grafana, or Elastic, making it easier to understand for software development teams."
 

Cons

"I think they can improve their UI, while very intuitive, I would like to see graphic updates."
"The machine-learning is lacking and should be improved."
"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 dashboard needs to improve."
"The dashboard needs to improve; it's not so clear right now and we need it to be more usable so we can have all of our reports in one easy-to-access place."
"A downside of Avantra is that it comes with predefined values."
"We want to reduce having to go to different screens to obtain all the information."
"The dashboard could be improved. It would be helpful to get a view of specific things that we need to monitor for our application."
"Learning about the tooling could also be improved. It is a bit clunky to use, especially in an incident."
"Interactive tutorials could be a game changer."
"In terms of UI, everything is very small, which makes it quite difficult to navigate at times."
"Even though it is powerful on its own, the UI-based design lacks elegance, efficiency, and complexity."
"The more tools that they can build that allow you to run AWX playbooks, or other similar fixes, would benefit clients greatly."
"One major drawback of Datadog is the cost. Sometimes we set up flows in place to monitor resources that end up logging more than we thought, and the bill is too high."
 

Pricing and Cost Advice

Information not available
"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."
"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."
"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."
"It didn't scale well from the cost perspective. We had a custom package deal."
"The cost is high and this can be justified if the scale of the environment is big."
"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."
"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 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."
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Top Industries

By visitors reading reviews
Outsourcing Company
14%
Construction Company
14%
Manufacturing Company
9%
Comms Service Provider
8%
Financial Services Firm
14%
Manufacturing Company
9%
Computer Software Company
8%
Outsourcing Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business82
Midsize Enterprise49
Large Enterprise100
 

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: August 2026.
910,005 professionals have used our research since 2012.