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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
50th
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 (28th)
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) (5th), AI Observability (1st)
 

Mindshare comparison

As of July 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 4.6%, down from 9.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Application Performance Monitoring (APM) and Observability Mindshare Distribution
ProductMindshare (%)
Datadog4.6%
Avantra1.4%
Other94.0%
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

"You can customize alerts based on need."
"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."
"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."
"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."
"I definitely recommend this solution, it provides good value for money."
"It prevented two major failures in our SAP production systems."
"Datadog dashboards are pretty great."
"I really enjoy the RUM monitoring features of Datadog. It allows us to monitor user behavior in a way we couldn't before."
"Customizable views as well as the ability to "dive in" when we see someting anomalous has improved the workflow for handling incidents."
"The solution is stable."
"Session recordings have been the most valuable to me as it helps me gain insights into user behaviour at scale."
"We have way more observability than what we had before - on the application and the overall system."
"It has a nice UI."
"The ease of use allowed me to get up to speed with log management since it's my first time using Datadog."
 

Cons

"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."
"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."
"A downside of Avantra is that it comes with predefined values."
"The dashboard needs to improve."
"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."
"It lacks consistency in the APIs."
"I would love to see support for front-end and mobile applications. Right now, it is mostly all back-end stuff. Being able to do some integration with our front-end products would be awesome."
"Billing should be more transparent."
"We would like to see some versioning system for the Synthetic Tests so that we could have a backup of our tests since they are time-consuming to make and very easy to damage in a moment of error."
"The incident management beta looks promising, but it is still missing the ability to automatically create incidents based on certain alerts."
"One thing that I haven't been able to figure out is how to retrieve a report."
"Datadog can be improved by addressing billing and spend calculation methods, as it would be better if these were more straightforward."
 

Pricing and Cost Advice

Information not available
"The solution's pricing depends on project volume."
"At my last company, we did see ROI, specifically around response time. We could get to mission critical things that were down and losing revenue on immediately. So, the product paid itself back."
"The tool is open-source."
"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."
"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."
"The cost is high and this can be justified if the scale of the environment is big."
"It has a module-based pricing model."
"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
Construction Company
13%
Financial Services Firm
11%
Manufacturing Company
10%
Comms Service Provider
7%
Financial Services Firm
15%
Manufacturing Company
9%
Computer Software Company
8%
Outsourcing Company
6%
 

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: June 2026.
904,146 professionals have used our research since 2012.