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Datadog vs VMware Aria Operations for Applications comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Oct 19, 2025

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

Datadog
Ranking in Application Performance Monitoring (APM) and Observability
1st
Ranking in IT Infrastructure Monitoring
2nd
Ranking in Container Monitoring
2nd
Ranking in Cloud Monitoring Software
2nd
Average Rating
8.6
Reviews Sentiment
7.0
Number of Reviews
210
Ranking in other categories
Network Monitoring Software (3rd), Log Management (3rd), AIOps (1st), Cloud Security Posture Management (CSPM) (5th), AI Observability (1st)
VMware Aria Operations for ...
Ranking in Application Performance Monitoring (APM) and Observability
19th
Ranking in IT Infrastructure Monitoring
16th
Ranking in Container Monitoring
5th
Ranking in Cloud Monitoring Software
15th
Average Rating
8.0
Reviews Sentiment
6.3
Number of Reviews
14
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of January 2026, in the Cloud Monitoring Software category, the mindshare of Datadog is 6.7%, down from 11.4% compared to the previous year. The mindshare of VMware Aria Operations for Applications is 2.0%, up from 1.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Cloud Monitoring Software Market Share Distribution
ProductMarket Share (%)
Datadog6.7%
VMware Aria Operations for Applications2.0%
Other91.3%
Cloud Monitoring Software
 

Featured Reviews

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.
AS
Consultant at HCLTech
Automation and insightful diagnostics elevate operations while improvements are welcome
The new version 8.18 has brought significant improvements. The main purpose of using this tool is having a single console to manage all entities. The cloud integration capabilities, including private, public, and hybrid, are already well-implemented. The ability to manage multiple vCenters across different geographical locations is very effective. The new Skyline health feature and certificate and licensing management are particularly useful improvements. The dashboard's overview tab provides comprehensive information about current vCenter status, resizable amounts, reclamation opportunities, anomalies, diagnostics, licensing, and certificates. However, there is room for improvement in application analysis. The current functionality lacks detailed monitoring at the kernel level, focusing mainly on CPU, memory, and storage matrices. Enhanced application monitoring capabilities, including tracking downtime for specific types of applications such as transactional or e-commerce applications, would be beneficial.

Quotes from Members

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

Pros

"We integrate our application logs. It is great to be able to tie our metrics and our traces together."
"When an alert fires, our on-call engineer can see the infrastructure metric spike (like CPU), pivot directly to the application traces (APM) running on that host, and see the exact, correlated logs from the services causing the problem—all in one place."
"Datadog provides tracing and logging, whereas Dynatrace focuses on tracing, and Splunk is more of a logging tool. Datadog's advantage is that we don't need two tools."
"With Datadog I can look at the health of the technology stack and services."
"Across CCM and the rest of Datadog, I like how sharable everything is."
"The dashboards and the performance of the software have been great."
"The observability pipelines are the most valuable aspect of the solution."
"Datadog has impacted our organization positively since we were previously using AppDynamics and then we switched to Datadog, which improved a lot in our alerting and monitoring in the infrastructure space and application space, allowing us to monitor business transactions and take proactive action before an end user reports it."
"Scalability for VMware Aria Operations for Applications is easy to implement and manage."
"The solution provides single-console management for multiple VMware environments and cloud integrations, whether hybrid, private, or public cloud."
"People are very pleased with the implementation."
"I gladly recommend VMware Aria Operations for Applications because it is cost effective and has commendable AI response capabilities."
"It significantly improves application performance management by offering recommendations for resource allocation to avoid wastage or overcommitment."
"The features I find most valuable is the querying and alerting capabilities."
"For us, the ease of deployment in combination with TMZ was the most important part because we don't have to manually deploy a complex monitoring solution. We can more or less do that with the click of a button, and we are not dependent on the developers to provide us with all the necessary features and functions to make that work. We can just deploy it on a workload cluster and monitor at least a good part of the workload. If we want to go into detail, we clearly need to make changes, but for a good part of application monitoring, it gives us good insights."
"Tanzu itself, integrated with multiple solutions, bestows support and security upon a container platform, especially when it comes to managing open-source container platforms such as Kubernetes."
 

Cons

"While the documentation is very good, there are areas that need a lot of focus to pick up on the key details."
"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."
"For three to four months, we have been experiencing real-time delays. For example, if we're monitoring incoming traffic, the real-time status should be displayed up to a certain point. However, due to delays or issues with Datadog, the real-time data might only be updated at an earlier time. We are experiencing consistent delays in data updates from Datadog, with the most recent data often being delayed by about an hour. This issue has been ongoing for the past four months."
"I find the training great. That said, it is set for the LCD (lowest common denominator). Of course, this is very helpful to sell the product, yet, to really utilize the product, you need to get more detailed."
"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."
"I found the documentation can sometimes be confusing."
"Ingesting data from various sources to monitor the log metrics of the system can always improve so that, if something goes wrong, the right teams are alerted."
"More granular control over dashboard sharing. Timeboard sharing."
"In the new version, I would love to see more prediction capabilities. It would be great if one could see the alerts get a little more enriched with information and become more human-friendly instead of the technical stuff that they put in there. I think those would be really awesome outcomes to get."
"It could use a URL document server. Everything in the market is moving towards automation and everybody's looking for the single click operations as well relational data locality."
"The return on investment is best suited for organizations that do not have the resources for a dedicated VM environment team. However, the cost of the product doesn't show significant benefits."
"I find that there could be improvements in the support service response time, as the urgency varies unless specified as Priority 2 or 1 cases."
"The initial setup should be easier and more seamless."
"I find that there could be improvements in the support service response time, as the urgency varies unless specified as Priority 2 or 1 cases."
"The solution could be expensive, which might be a limiting factor."
"The documentation and integration with Kubernetes could be improved."
 

Pricing and Cost Advice

"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."
"Licensing is based on the retention period of logs and metrics."
"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."
"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."
"The solution is fairly priced but history and log storage can get costly depending on your needs."
"My advice is to really keep an eye on your overage costs, as they can spiral really fast."
"While it is an expensive product, I would rate the pricing level at four out of five."
"Pricing seemed easy until the bill came in and some things were not accounted for."
"I would rate the pricing as three out of five."
"The licensing costs are very high, particularly when you consider that we have to purchase a level 1 license for every integration, such as the load balancer, HAProxy, and the MSSP. And if you want to use vSAN, that's another license. Then, of course, Tanzu Observability has its own separate license."
"Different locations require different setups. In your terms, around 300 to around 400K USD."
"I don't have the details. In our case, there is a mixture in place. We have production usage, and we are also doing training for VMware. So, we also have a training instance. It is worth the money you would spend on it. That's because if you were to build all of this yourself by using some of the open source tools, then you would need a lot of time."
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Top Industries

By visitors reading reviews
Financial Services Firm
14%
Computer Software Company
12%
Manufacturing Company
8%
Healthcare Company
6%
Financial Services Firm
12%
Manufacturing Company
11%
Computer Software Company
8%
Government
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business80
Midsize Enterprise46
Large Enterprise98
By reviewers
Company SizeCount
Small Business4
Midsize Enterprise1
Large Enterprise10
 

Questions from the Community

Any advice about APM solutions?
There are many factors and we know little about your requirements (size of org, technology stack, management systems, the scope of implementation). Our goal was to consolidate APM and infra monitor...
Datadog vs ELK: which one is good in terms of performance, cost and efficiency?
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 ...
What is your experience regarding pricing and costs for VMware Tanzu Observability by Wavefront?
The solution includes cost drivers that can be configured according to your environment. You can input server-wise, CPU-wise, storage, and memory costs per hour or day. Once cost drivers are provid...
What needs improvement with VMware Tanzu Observability by Wavefront?
The new version 8.18 has brought significant improvements. The main purpose of using this tool is having a single console to manage all entities. The cloud integration capabilities, including priva...
What is your primary use case for VMware Tanzu Observability by Wavefront?
I have been involved in several projects where I had to implement automation and monitoring alerting. I performed automation using VMware Aria Operations for Applications. There is an automation ta...
 

Also Known As

No data available
Tanzu Observability, Wavefront, Wavefront by VMware, VMware Tanzu Observability
 

Overview

 

Sample Customers

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
1. Atlassian 2. Cisco 3. Databricks 4. DigitalOcean 5. Equinix 6. Fidelity Investments 7. Google 8. Hewlett Packard Enterprise 9. Honeywell 10. IBM 11. Intel 12. JetBlue Airways 13. LinkedIn 14. Lyft 15. Mastercard 16. Microsoft 17. MongoDB 18. Netflix 19. Nvidia 20. Oracle 21. PayPal 22. Pinterest 23. Qualcomm 24. Red Hat 25. Salesforce 26. SAP 27. Spotify 28. Square 29. TMobile 30. Twitter 31. Uber 32. VMware
Find out what your peers are saying about Datadog vs. VMware Aria Operations for Applications and other solutions. Updated: January 2026.
880,435 professionals have used our research since 2012.