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: January 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 (3rd), Container Monitoring (2nd), Cloud Monitoring Software (2nd), AIOps (1st), Cloud Security Posture Management (CSPM) (5th), AI Observability (1st)

Featured Reviews

PAUL JOSEPHS

Security & Performance Analytics Technical Specialist at a manufacturing company with 10,001+ employees

Points out the relevant problems in the enterprise and it's easy to understand

The most valuable aspect of this solution is the integration with their other systems. It's easy to understand and it points out the relevant problems in the enterprise I would like for it to have automated updates, the way the product updates itself should be all automated, as opposed to what it…

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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

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

"The capability of analysing each individual transaction captured to a very low level detail (method call/line of code)."

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

"Transaction Tracing is the most useful. Being able to have the transaction stitched together so we can see where the problem is has proven invaluable."

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

"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."

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

"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."

More Aternity AppInternals [EOL] pros

"Anything I've wanted to do, I found a way to get it done through Datadog."

"The pricing model makes more sense than what we paid for against other competitors."

"Datadog is constantly adding new features."

"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."

"The observability pipelines are the most valuable aspect of the solution."

"The initial setup is very straightforward."

"The ability to easily drill down into log queries quickly and efficiently has helped us to resolve several critical incidents."

"It has saved us a lot of trouble in implementation."

More Datadog pros

Cons

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

"They should find a way for report generation from TTW to run quicker."

"Support for PHP, DB and other applications need to be supported."

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

"The admin dashboard could be easier as it takes a little bit of time to get used to it."

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

"I would like for it to have automated updates, the way the product updates itself should be all automated, as opposed to what it is now."

"It would be great if the solution could offer fixed bundles and more features."

More Aternity AppInternals [EOL] cons

"I like the idea of monitoring on the go yet it seems the options are still a bit limited out of the box."

"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 installation is easy for me. However, if you are new to this solution it might not be so easy."

"Graph filters for logs need to be set manually which works well for JSON but not for unstructured logs."

"If there were a more cost-effective manner of deploying the tool, we'd be more likely to adopt it more widely."

"I want to applaud the efforts in making the UI extremely usable and approachable. My suggestion would be to take another look at how the menu structure is put together, however. Even after using the platform mostly every day for months, I still find myself trying to find a service or feature in the menus."

"The user interface is okay, but sometimes cost is the issue because for logging, I had to actually trim down my logs because the cost is too much."

"We need a lot of modules since we collect all data logs from all operating systems."

More Datadog cons

Pricing and Cost Advice

"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."

"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 tool is open-source."

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

"The solution's pricing depends on project volume."

"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."

"Pricing seems reasonable. It depends on the size of your organization, the size of your infrastructure, and what portion of your overall business costs go toward infrastructure."

"The price of Datadog is reasonable. Other solutions are more expensive, such as AppDynamics."

"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."

"My advice is to really keep an eye on your overage costs, as they can spiral really fast."

More Datadog pricing and cost advice

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Top Industries

By visitors reading reviews

No data available

Financial Services Firm

14%

Computer Software Company

12%

Manufacturing Company

Healthcare 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	80
Midsize Enterprise	46
Large Enterprise	99

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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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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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