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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
53rd
Average Rating
8.6
Reviews Sentiment
7.2
Number of Reviews
5
Ranking in other categories
SAP Service Providers (14th), 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 (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 June 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

"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 just very user-friendly, and it's very easy to monitor the servers using Avantra."
"It's very easy to manage and use."
"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."
"I definitely recommend this solution, it provides good value for money."
"Datadog has a lot of features to be able to drill down deep into the swath of logs that our platforms generate."
"We find they have a very helpful alert system."
"Being able to filter requests by latency is invaluable, as it provides immediate insight into which endpoints require further analysis and optimization."
"We like the distributed tracing and flame graphs for debugging. This has been invaluable for us during periods of high traffic or red alert conditions."
"I have found error reporting and log centralization the most valuable features, and overall Datadog provides a full package solution."
"It has saved us a lot of trouble in implementation."
"Watchdog is a favorite feature among a lot of the devs. It catches things they didn't even know were an issue."
"We also use APM and metrics to view the status of our Pub/Sub topics and queues, especially when dealing with undelivered messages."
 

Cons

"I think they can improve their UI, while very intuitive, I would like to see graphic updates."
"A downside of Avantra is that it comes with predefined values."
"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."
"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 dashboard needs to improve."
"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."
"This service could be less costly."
"It could use some additional features when working with metrics like Grafana or like New Relic has. Datadog does not use library technologies like Dynatrace does. Datadog has machine learning too, but it does not have this option in all layers of monitoring like infrastructure service process in applications."
"I think Datadog can be improved by continually finding errors and making things easy to see and customize."
"One thing to improve would be making it easier to see common patterns across traces."
"It can be overwhelming for new people as it has a lot of features."
"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 product can be improved by allowing the grouping of APIs to add variables. That way, any API with a unique ID could be grouped together."
 

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 cost is high and this can be justified if the scale of the environment is big."
"My advice is to really keep an eye on your overage costs, as they can spiral really fast."
"The price of Datadog is reasonable. Other solutions are more expensive, such as AppDynamics."
"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."
"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."
"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
11%
Construction Company
11%
Manufacturing Company
10%
Comms Service Provider
8%
Financial Services Firm
15%
Manufacturing Company
9%
Computer Software Company
9%
Healthcare 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

Ask a question
Earn 20 points
Any advice about APM solutions?
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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 ...
 

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.
899,052 professionals have used our research since 2012.