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Datadog vs VMware Aria Operations for Applications comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Oct 1, 2024
 

Categories and Ranking

Datadog
Ranking in Application Performance Monitoring (APM) and Observability
1st
Ranking in IT Infrastructure Monitoring
2nd
Ranking in Container Monitoring
1st
Ranking in Cloud Monitoring Software
1st
Average Rating
8.6
Reviews Sentiment
7.5
Number of Reviews
187
Ranking in other categories
Network Monitoring Software (2nd), Log Management (3rd), AIOps (1st), Cloud Security Posture Management (CSPM) (6th)
VMware Aria Operations for ...
Ranking in Application Performance Monitoring (APM) and Observability
40th
Ranking in IT Infrastructure Monitoring
44th
Ranking in Container Monitoring
9th
Ranking in Cloud Monitoring Software
32nd
Average Rating
7.6
Number of Reviews
9
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of October 2024, in the Cloud Monitoring Software category, the mindshare of Datadog is 8.7%, down from 9.9% compared to the previous year. The mindshare of VMware Aria Operations for Applications is 1.7%, down from 1.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Cloud Monitoring Software
 

Featured Reviews

Kevin Palmer - PeerSpot reviewer
Sep 19, 2024
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
Aug 1, 2022
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

"Datadog has so far been a breeze to use and set up."
"Using the data, our operation teams works with the dashboards to get their statistics, analytics, etc."
"The dashboards are super convenient to us for a more zoomed out view of what is going on with each integration that we utilize."
"It has scaled great. I haven't run into any problems anywhere that I've used it. They have handled everything that we have needed them to."
"The many dozens of integrations that the solution brings out of the box are excellent."
"The platform appeals to companies spanning many industries on a global scale."
"It has enhanced the performance of my team."
"It lets us react more quickly to things going wrong. Whereas before, it might have been 30 minutes to an hour before we noticed something going on, we will know within a minute or two if something is off, which will let us essentially get something back up and running faster for our customers, which is revenue."
"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."
"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."
"The features I find most valuable is the querying and alerting capabilities."
"People are very pleased with the implementation."
"This solution allows me to have true visibility for any metrics when it comes to my cloud, and private."
"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

"Datadog does not have the feature where you can monitor external websites or check the SSL secure for websites."
"Datadog needs more local Asia-Pacific support, and if they don't have a SaaS solution in Asia-Pacific, they should offer an on-prem version. I'm told that's not possible."
"It lacks consistency in the APIs."
"I'd like to see an expansion of the Android and IOS apps to have a simplified CI/CD pipeline history view."
"Stability of the product has been a concern for us outside of the primary monitoring agents."
"Once agents are connected to the Datadog portal, we should be able to upgrade them quickly."
"It would be great if usage metrics were automatically created and we could create custom metrics, instead we ended up building some of our own stuff to track and alert on our own usage."
"We have found that some of the different options for filtering for logs ingestion, APM traces and span ingestion, and RUM sessions vs replay settings can be hard to discover and tough to determine how to adjust and tweak for both optimal performance and monitoring as well as for billing within the console."
"The implementation is a long process that should 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."
"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 main problem I have is that the license cost is very high."
"The initial setup should be easier and more seamless."
"I would like to see integration with Kubernetes cluster and APIs so that you can manage the entire stack."
"The documentation and integration with Kubernetes could 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."
"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."
"Licensing is based on the retention period of logs and metrics."
"The solution's pricing depends on project volume."
"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."
"If you do your homework, you'll find that if you're really concerned with cost, it's good."
"It didn't scale well from the cost perspective. We had a custom package deal."
"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."
"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 would rate the pricing as three out of five."
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Top Industries

By visitors reading reviews
Educational Organization
36%
Computer Software Company
11%
Financial Services Firm
10%
Manufacturing Company
7%
Financial Services Firm
18%
Computer Software Company
16%
Manufacturing Company
9%
Government
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.
 

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: October 2024.
814,325 professionals have used our research since 2012.