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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
55th
Average Rating
8.6
Reviews Sentiment
7.2
Number of Reviews
5
Ranking in other categories
SAP Service Providers (13th), 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
7.0
Number of Reviews
210
Ranking in other categories
Network Monitoring Software (4th), Log Management (4th), Container Monitoring (3rd), Cloud Monitoring Software (1st), AIOps (1st), Cloud Security Posture Management (CSPM) (5th), AI Observability (1st)
 

Mindshare comparison

As of May 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 4.7%, down from 9.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Application Performance Monitoring (APM) and Observability Mindshare Distribution
ProductMindshare (%)
Datadog4.7%
Avantra1.4%
Other93.9%
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

"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."
"You can customize alerts based on need."
"It prevented two major failures in our SAP production systems."
"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's very easy to manage and use."
"It's just very user-friendly, and it's very easy to monitor the servers using Avantra."
"I definitely recommend this solution, it provides good value for money."
"Datadog solves all of these issues."
"We are loving the tool; it is great to have all those insights in one place."
"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."
"Our return on investment is great and is so much better than CloudWatch."
"The service catalog helped improve our organization by giving a good view of the flow for our microservices applications."
"The CCM, Workflows, Logs, APM, and RUM are all useful aspects of the solution."
"I find the greatest feature is being able to search across logs from various microservices."
"Datadog has proven to be easy to set up and legible for both development and operational teams."
 

Cons

"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."
"I think they can improve their UI, while very intuitive, I would like to see graphic updates."
"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."
"The machine-learning is lacking and should be improved."
"A downside of Avantra is that it comes with predefined values."
"A tool as powerful as Datadog is, understandably, going to have a bit of a learning curve, especially for new team members who are unfamiliar with the bevy of features it offers."
"It is very difficult to make the solutions fit perfectly for large organizations, especially in terms of high cardinality objects and multi-tenancy, where the data needs to be rolled up to a summarized level while maintaining its individual data granularity and identifiers."
"The pricing model could be simplified as it feels a bit outdated, especially when you look at the billing model of compute instances vs the containers instances."
"The only issue I face is when more than one person editing these dashboards simultaneously, one or the other person sometimes loses his/her work."
"Geo-data is also something very critical that we hope to see in the future."
"Datadog could improve the flexibility with AI and ML concepts."
"One area where the product could be improved is Application Performance Monitoring (APM)."
"They could enhance the alerting functions by creating a new feature to add direct SMS notifications, on-call rotation scheduling, etc., that could replace the need to have this as an external third-party solution integration."
 

Pricing and Cost Advice

Information not available
"They prefer monthly subscriptions."
"The solution is fairly priced but history and log storage can get costly depending on your needs."
"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."
"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."
"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."
"If you do your homework, you'll find that if you're really concerned with cost, it's good."
"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."
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Top Industries

By visitors reading reviews
Financial Services Firm
11%
Manufacturing Company
11%
Construction Company
10%
Comms Service Provider
8%
Financial Services Firm
14%
Computer Software Company
9%
Manufacturing Company
8%
Healthcare Company
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business82
Midsize Enterprise47
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: April 2026.
893,438 professionals have used our research since 2012.