Aternity AppInternals [EOL] vs Datadog comparison

Aternity AppInternals [EOL]

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Executive SummaryUpdated on Oct 19, 2025

Aternity AppInternals and Datadog operate in the application performance monitoring category. Datadog has the upper hand with its modern offerings and superior integration capabilities, providing more comprehensive features for diverse environments.

Features: Aternity AppInternals provides detailed transaction tracing, real-time analytics, and user-friendly agent management. Datadog supports extensive cloud integration, robust dashboards, and powerful alerting functionalities, which enhance monitoring capabilities across multiple services.

Room for Improvement: Aternity AppInternals could enhance its cloud service integrations, simplify the setup process, and expand its analytics capabilities. Datadog may focus on optimizing resource costs, enhancing user experience design, and improving support for less common programming frameworks.

Ease of Deployment and Customer Service: Aternity AppInternals requires complex setup and maintenance compared to Datadog’s SaaS model, which simplifies deployment and scaling. Datadog is noted for its quick response times and thorough support, easing the deployment process significantly.

Pricing and ROI: Aternity AppInternals has lower initial costs but potentially higher maintenance expenses, while Datadog, despite higher upfront costs, provides better ROI through scalability and a rich feature set that justifies its price.

To learn more, read our detailed Application Performance Monitoring (APM) and Observability Report (Updated: August 2026).

Application Performance Monitoring (APM) and Observability

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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

Aternity AppInternals [EOL]

Average Rating

8.2

Number of Reviews

Ranking in other categories

No ranking in other categories

Datadog

Average Rating

8.6

Reviews Sentiment

6.9

Number of Reviews

211

Ranking in other categories

Application Performance Monitoring (APM) and Observability (1st), Network Monitoring Software (3rd), IT Infrastructure Monitoring (2nd), Log Management (4th), Container Monitoring (3rd), Cloud Monitoring Software (1st), AIOps (1st), Cloud Security Posture Management (CSPM) (5th), AI Observability (1st)

Featured Reviews

reviewer1374792

IT Support Specialist at a real estate/law firm with 1,001-5,000 employees

Great for visibility but lacks many features and difficult to update

We're customers. We don't have a special relationship with the company. I am the operation's application administrator. At the moment, the solution is monitoring the applications that we want it to monitor. We're not looking at it on a daily basis. We just use it here and there. The challenge we have is that we believe that Dynatrace can address some tasks we'd like done that are not possible to execute on this solution. Dynatrace includes monitoring of not just the logs, but the applications as well. Dynatrace also makes us include firewalls, etc. We could have it so there are end to end solutions or identifications within the process. What we have right now is only the app server as well as the database server and its connectivity. The solution does save time that's caused when creating SQL coding. However, there are some issues around AppInternals changing the code and giving us issues. From the point of view of the top management, we want a more permanent solution. We want to identify what causes issues and we are looking for a more end-to-end solution. That is why we are looking at Dynatrace. I don't know if I have any advice for other organizations. The experience I have is only based on my own limited experience. However, I believe that the application has the potential to be really good if it identifies what is really important to an organization. It's still sort of half-baked without AppResponse. Without the other key features in infrastructure, like the network, firewalls, and proxies, it's lacking. It's not fully complete. I'd rate the solution six out of ten. It addresses some of our needs, but there's a lot lacking that could be added to make it a fuller, more interesting product.

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Dhroov Patel

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.

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Quotes from Members

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

Pros

"Clicks to root cause - fast & easy to diagnose and deep-dive"

"By going to v10 it made our lives a whole lot easier because prior to v10, we had to put all of these assets, these Riverbed arguments, basically JVM start up itself."

"My advice to others would be to use this solution for monitoring."

"As an Administrator, before we bought this AppInternals, I didn't have visibility on why items were slow or why an application was not running. This gives us the ability to see what's going on. The application is load balancing. We can now see if its own server has issues or just one specific server has issues."

"I like it that one can match IPs with the application name."

"Browsermetrix, which is real-user monitoring via JS injection and linked back to TTW via cookie. It allows us to see the experience of every user hitting our sites and analyze performance by region, browser, etc."

"We just control on the backend of AppInternals what we want to instrument and what we don't want to instrument."

"The product is very useful to find problems in middleware for the application servers, especially agent instrumentation and management is user friendly."

More Aternity AppInternals [EOL] pros

"Both the engineering team and the product team are seeing tremendous value from this solution."

"We chose Datadog over the other products that we evaluated because it had better features: notifications, alerting, and metric capture, and Datadog had the skill sets that we wanted at the time."

"It has turned into an operational dashboard; if you feel something is going wrong, you can immediately open up Datadog, and it has been our go-to application because we know the answer will be there."

"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."

"The most valuable feature of Datadog is its logs, as we can use the logs to conduct analysis and root cause analysis."

"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."

"Datadog was a way simpler solution to setting up browser and API tests quickly."

"Most of the features in the way Datadog does monitoring are commendable and that is the reason we choose it. We did some comparisons before picking Datadog. Datadog was recommended based on the features provided."

More Datadog pros

Cons

"It's not as good as it was three years ago before meddling by an activist investor, privatization, and subsequent layoffs hurt support."

"Deployment and agent patch management is not managed centrally, resulting in a large level of effort to update."

"It's still sort of half-baked without AppResponse. Without the other key features in infrastructure, like the network, firewalls, and proxies, it's lacking."

"The technical support is not very good and should be improved."

"It wasn't a critical issue, but it was hot enough to where it would have been nice to get some guidance from Riverbed, but they went ahead and let us down, but that was only one occasion."

"We have put in a request as an enhancement that we would like to search for items. If we're searching for a URL and we want to know was it a get or was it a post."

"We'd like to be able to find out performance problems on application class and methods."

"The recording mechanism for synthetic transactions could be improved as well."

More Aternity AppInternals [EOL] cons

"We need more integration functionality, including certain metrics integration."

"Datadog can be improved by addressing billing and spend calculation methods, as it would be better if these were more straightforward."

"A tool as powerful as Datadog is, understandably, going to have a bit of a learning curve, especially for new team members who are unfamiliar with the bevy of features it offers."

"Datadog could improve the flexibility with AI and ML concepts. This will allow customers to be more leveraged towards publishing."

"We had limitations around RUM and our feature flag provider in Datadog because it's a back-end forward feature flag usage in our Next.js application."

"When the logs are too big, and Datadog splits them, the JSON format breaks and it is not so useful for us."

"Datadog could be improved if the menu system was a little clearer and less cluttered, making it easier to navigate."

"One area where the product could be improved is Application Performance Monitoring (APM)."

More Datadog cons

Pricing and Cost Advice

"The licensing model for v9 is better where it is an individual license per server, while v10 licenses are per JVM/ .NET and server instance. The latter model appears to be the model that other APM vendors are using."

"The licensing model is expensive compared to its competitors, but the service it gives to your business, and the data quality, means that it's worth it."

"Our licensing fees are paid on a monthly basis."

"It has a module-based pricing model."

"Pricing seemed easy until the bill came in and some things were not accounted for."

"Sometimes it's very hard to project how much it will cost for the monthly subscription for the next month when you add certain features. Having better visibility of the cost would give a better experience."

"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."

"The price is better than some competing products."

"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."

More Datadog pricing and cost advice

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Top Industries

By visitors reading reviews

No data available

Financial Services Firm

14%

Manufacturing Company

Computer Software Company

Outsourcing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	1
Midsize Enterprise	2
Large Enterprise	7

By reviewers
Company Size	Count
Small Business	82
Midsize Enterprise	49
Large Enterprise	100

Questions from the Community

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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...

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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...

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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 ...

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Comparisons

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Compared 4% of the time

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Product Reports

Application Performance Monitoring (APM) and Observability

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Also Known As

SteelCentral AppInternals, OPNET ACE, AppInternals Xpert

No data available

Overview

Simplified high-definition APM visibility leveraging Real User Monitoring, Synthetic Monitoring, and OpenTelemetry, that is scalable, easy to use and deploy, and unifies insights across end users, applications, networks, and the cloud-native ecosystem

Riverbed

Datadog integrates extensive monitoring solutions with features like customizable dashboards and real-time alerting, supporting efficient system management. Its seamless integration capabilities with tools like AWS and Slack make it a critical part of cloud infrastructure monitoring.

Datadog offers centralized logging and monitoring, making troubleshooting fast and efficient. It facilitates performance tracking in cloud environments such as AWS and Azure, utilizing tools like EC2 and APM for service management. Custom metrics and alerts improve the ability to respond to issues swiftly, while real-time tools enhance system responsiveness. However, users express the need for improved query performance, a more intuitive UI, and increased integration capabilities. Concerns about the pricing model's complexity have led to calls for greater transparency and control, and additional advanced customization options are sought. Datadog's implementation requires attention to these aspects, with enhanced documentation and onboarding recommended to reduce the learning curve.

What are Datadog's Key Features?

Sharable Dashboards: Facilitate collaboration with customizable, intuitive dashboards.
Extensive Integrations: Seamlessly connects with tools like Slack and AWS to support workflows.
APM and RUM: Provides deep insights into application performance and user interactions.
Real-Time Tools: Enables agile responses to system issues with real-time monitoring.
Unified Tagging and Visualization: Eases management of complex systems with simplified visualization.

What Benefits and ROI Should Users Look For?

Efficient Troubleshooting: Centralized logging speeds up the identification and resolution of issues.
Streamlined Workflows: Integrations with popular tools enhance operational efficiency.
Improved Observability: Comprehensive monitoring improves system reliability and performance.
Resource Optimization: Efficient microservices and container management leads to better cloud resource utilization.
Responsive Alerts: Customizable alerts ensure timely identification of critical issues.

In industries like finance and technology, Datadog is implemented for its monitoring capabilities across cloud architectures. Its ability to aggregate logs and provide a unified view enhances reliability in environments demanding high performance. By leveraging real-time insights and integration with platforms like AWS and Azure, organizations in these sectors efficiently manage their cloud infrastructures, ensuring optimal performance and proactive issue resolution.

Sample Customers

National Instruments, Allianz

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

Application Performance Monitoring (APM) and Observability