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

"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."

"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."

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

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

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

"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)."

"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."

More Aternity AppInternals [EOL] pros

"Being able to filter requests by latency is invaluable, as it provides immediate insight into which endpoints require further analysis and optimization."

"The ingestion points are unlimited and support customization. We haven't had anything yet that we haven't been able to integrate with it."

"By moving to Datadog, we did not need to manage our own monitoring infrastructure anymore."

"I don't have to worry about upgrades with the AWS version."

"Datadog has impacted my organization positively as this is our main observability tool when it comes to monitoring services, traces, and all resources within key services."

"Real user monitoring has made triaging any possible bugs our users might face a lot easier."

"The initial setup is very straightforward."

"We have been impressed with the uptime and clean and light resource usage of the agents."

More Datadog pros

Cons

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

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

"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."

"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."

"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."

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

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

More Aternity AppInternals [EOL] cons

"The solution should provide alerts for cloud outages."

"There should be a clearer view of the expenses."

"I would appreciate seeing it as an app or mobile app for quicker issue tracking."

"I rate Datadog an eight out of ten because the expense of using it keeps it from being a nine or ten."

"The ability to find what you are looking for when starting out could be improved."

"I believe Datadog could be improved because sometimes it's not the most user-friendly, and when monitors have a new metric or a service that no longer needs to be monitored, it remains in the system."

"The query performance could be improved, particularly when handling large datasets, as slower response times can hinder efficiency."

"The product could be improved by providing remote control to agents, enabling them to execute automation and collections without requiring another automation tool or integration."

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."

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

"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."

"It didn't scale well from the cost perspective. We had a custom package deal."

"Licensing is based on the retention period of logs and metrics."

"This solution is budget friendly."

"It costs the same amount it would if we were hosting it ourselves, so we are incredibly happy with the cost."

"The cost is high and this can be justified if the scale of the environment is big."

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

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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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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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