Aternity AppInternals [EOL] vs Datadog comparison

Riverbed and Datadog are both solutions in the Application Performance Monitoring (APM) and Observability category. Additionally, 90% of Riverbed users are willing to recommend the solution, compared to 97% of Datadog users who would recommend it.

Aternity AppInternals [EOL]

Read 10 Aternity AppInternals [EOL] reviews

90% willing to recommend

Datadog

Read 210 Datadog reviews

32,681 Views
16,014 Comparison Views

97% willing to recommend

Aternity AppInternals [EOL]

Datadog

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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: April 2026).

Buyer's Guide

Application Performance Monitoring (APM) and Observability

April 2026

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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

7.0

Number of Reviews

210

Ranking in other categories

Application Performance Monitoring (APM) and Observability (1st), Network Monitoring Software (4th), 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"

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

"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."

"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."

"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."

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

"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."

"From the experience I had with these three tools, I realized that Riverbed was superior in all aspects (performance, user experience, and features)."

More Aternity AppInternals [EOL] pros

"The most valuable features have been: Sharable dashboards, TimeBoards, dogstatsd API, Slack Integration, Event logging API. CloudTrail Events, Tags, alerts, and anomaly detection. EBS Volume Snapshot Age, which they added upon request."

"Datadog dashboards are pretty great."

"The most useful feature is the APM."

"Thanks to the logs, we manage to make better reports through Jira and also to trace the request with more facility than we would be able to do otherwise."

"Since we started using the product, we were able to create dashboards, and utilize APM, continuous profiling, RUM, and distributed tracing for production support and user trends."

"Datadog has made it much easier to have a central place for people to look for logs and made it much easier to notify them of any elevated error rates or failures."

"The application performance monitoring is pretty good."

"Our return on investment is great and is so much better than CloudWatch."

More Datadog pros

Cons

"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."

"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."

"There are some functional bugs when using TTW and making report queries (to generate graphs)."

"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."

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

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

"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."

More Aternity AppInternals [EOL] cons

"One key improvement we would like to see in a future Datadog release is the inclusion of certain metrics that are currently unavailable. Specifically, the ability to monitor CPU and memory utilization of AWS-managed Airflow workers, schedulers, and web servers would be highly beneficial for our organization."

"It would be nice to be able to graph metrics by excluding certain tags (like you can do in monitors)."

"It's not that straightforward when creating an alert. The syntax is a little confusing."

"The pricing model can be quite complex and might benefit from more flexible options tailored to different organizational needs."

"It does not have the best interface."

"It can be overwhelming for new people as it has a lot of features."

"We need more advanced querying against logs."

"My experience with pricing, setup cost, and licensing is that it is really expensive."

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."

"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 solution is fairly priced but history and log storage can get costly depending on your needs."

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

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

"The price is better than some competing products."

"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 and licensing are reasonable for what they give you. You get the first five hosts free, which is fun to play around with. Then it's about four dollars a month per host, which is very affordable for what you get out of it. We have a lot of hosts that we put a lot of custom metrics into, and every host gives you an allowance for the number of custom metrics."

"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%

Computer Software Company

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	82
Midsize Enterprise	47
Large Enterprise	100

Questions from the Community

Ask a question

Earn 20 points

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...

See all answers

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

Buyer's Guide

Application Performance Monitoring (APM) and Observability

April 2026

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Buyer's Guide

Datadog

May 2026

Download Datadog product report

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.

Datadog

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

Buyer's Guide

Application Performance Monitoring (APM) and Observability

April 2026

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