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Datadog vs VMware Aria Operations for Applications comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Jan 5, 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
1st
Average Rating
8.6
Reviews Sentiment
7.1
Number of Reviews
186
Ranking in other categories
Network Monitoring Software (3rd), Log Management (3rd), AIOps (1st), Cloud Security Posture Management (CSPM) (9th)
VMware Aria Operations for ...
Ranking in Application Performance Monitoring (APM) and Observability
48th
Ranking in IT Infrastructure Monitoring
46th
Ranking in Container Monitoring
9th
Ranking in Cloud Monitoring Software
31st
Average Rating
7.6
Reviews Sentiment
7.0
Number of Reviews
9
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of January 2025, in the Cloud Monitoring Software category, the mindshare of Datadog is 13.1%, down from 15.2% compared to the previous year. The mindshare of VMware Aria Operations for Applications is 1.4%, down from 1.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Cloud Monitoring Software
 

Featured Reviews

Kevin Palmer - PeerSpot reviewer
Useful log aggregation and management with helpful metrics aggregation
Datadog provides us value in three major ways: First, Datadog provides best-in-class functionality in many, if not all, of the products to which we subscribe (infrastructure, APM, log management, serverless, synthetics, real user monitoring, DB monitoring). In my experience with other tools that provide similar functionality, Datadog provides the largest feature set with the most flexibility and the best performance. Second, Datadog allows us to access all of those services in one place. Having to learn and manage only one tool for all of those purposes is a major benefit. Third, Datadog provides significant connectivity between those services so that we can view, summarize, organize, translate and correlate our data with maximum effect. Not needing to manually integrate them to draw lines between those pieces of information is a huge time savings for us.
Yves Sandfort - PeerSpot reviewer
Easy to deploy, worth the money, and helpful for uptime monitoring and performance insights
Its billing model is consumption-based. I understand the consumption-based model, but it is not necessarily easy to estimate and guess how many points or how much we are going to consume on a specific application up until we get to that point. So, for us, it would be helpful to have more insights or predictability into what we can expect from a cost perspective if we are starting to use specific features. This can potentially also drive our consumption a bit more. The other thing for us is that while it is great that we have all these standard metrics, it would be good if we can also more easily define standard metrics to be consumed for our own application. At the moment, for a lot of applications, we have to reinvent the wheel every time. If there was something so that we can build our own packaging of metrics, it would be helpful. In the future, we might be deploying our software to other customers as well. So, they should make it easier to redeploy that. There should be more customizable dashboards. The Wavefront dashboards are very technical and a more business-oriented dashboard design would definitely help.

Quotes from Members

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

Pros

"The selection of monitors is a big feature I have been working with."
"The ingestion points are unlimited and support customization. We haven't had anything yet that we haven't been able to integrate with it."
"The ability to send notifications based on metadata from the monitor is helpful."
"Its integration definitely stands out. It provides seamless monitoring of all our systems, services, apps, and whatever else we secure and monitor. Visualizations have become simpler with dashboards. We are getting visibility into systems, services, and apps stack through a single pane of glass, which is good. We are able to put logs in context."
"Datadog has helped us a ton by allowing us to set up a multitude of easily configurable alarms across our tech stack and infrastructure."
"The most useful feature is the APM."
"Flame graphs are pretty useful for understanding how GraphQL resolves our federated queries when it comes to identifying slow points in our requests. In our microservice environment with 170 services."
"Datadog has flexibility."
"The features I find most valuable is the querying and alerting capabilities."
"The solution is great for virtualization and preparing the infrastructure in Tanzu to test products. It's very fast and has good visibility."
"The most valuable aspects of the solution are its ease of use and its ease of implementation."
"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."
"This solution allows me to have true visibility for any metrics when it comes to my cloud, and private."
"VMware comes with a support team, and if you have trouble, you can easily create a ticket, and VMware will help you. Therefore, the best aspect is the support."
"No issues with stability."
"People are very pleased with the implementation."
 

Cons

"Its pricing model can be improved. Its settings should be improved for a better understanding of billing. They should also provide some alerts when there is an increase in the usage. For example, if there is 20% more increase from one week to another, the customer should get an alert."
"I would like testing for data in the future."
"Sometimes, it takes a long time to load the dashboard if we have many charts."
"They should continue expanding and integrating with more third-party apps."
"The monitors need improvement."
"Could be a little more user friendly."
"We'd like to see more advanced incident management capabilities integrated directly into the platform."
"We primarily use the log management functionality, and the only feedback I have there is better fuzzy text searching in logs (the kind that Kibana has)."
"Its billing model is consumption-based. I understand the consumption-based model, but it is not necessarily easy to estimate and guess how many points or how much we are going to consume on a specific application up until we get to that point. So, for us, it would be helpful to have more insights or predictability into what we can expect from a cost perspective if we are starting to use specific features. This can potentially also drive our consumption a bit more."
"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 documentation and integration with Kubernetes could be improved."
"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."
"I would like to see integration with Kubernetes cluster and APIs so that you can manage the entire stack."
"The main problem I have is that the license cost is very high."
"The implementation is a long process that should be improved."
"They could make it more easy to plug-in data so that a nontechnical person will be able to use it, like accountants or finance people. That way they don't have to ask us."
 

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."
"If you do your homework, you'll find that if you're really concerned with cost, it's good."
"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."
"They prefer monthly subscriptions."
"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."
"The cost is high and this can be justified if the scale of the environment is big."
"The solution is fairly priced but history and log storage can get costly depending on your needs."
"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."
"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."
"I would rate the pricing as three out of five."
"Different locations require different setups. In your terms, around 300 to around 400K USD."
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Top Industries

By visitors reading reviews
Educational Organization
39%
Computer Software Company
10%
Financial Services Firm
10%
Manufacturing Company
5%
Financial Services Firm
19%
Computer Software Company
14%
Manufacturing Company
9%
Retailer
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

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 do you like most about VMware Tanzu Observability by Wavefront?
VMware comes with a support team, and if you have trouble, you can easily create a ticket, and VMware will help you. Therefore, the best aspect is the support.
What needs improvement with VMware Tanzu Observability by Wavefront?
It's hard to set up Tanzu clusters. It's hard to do a POC. Once you set up a customer's environment, you easily see the problems. The initial setup should be easier and more seamless.
What is your primary use case for VMware Tanzu Observability by Wavefront?
I primarily use the solution for consulting. I help company DevOps teams.
 

Also Known As

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

Learn More

 

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 2025.
831,158 professionals have used our research since 2012.