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 211 Datadog reviews

36,582 Views
17,559 Comparison Views

97% willing to recommend

Aternity AppInternals [EOL]

Datadog

Comparison Buyer's Guide

Download the report

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: May 2026).

Buyer's Guide

Application Performance Monitoring (APM) and Observability

May 2026

Download the complete report

Helped 900,838 peers since 2012

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 (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.

Read full review

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.

Read full review

Quotes from Members

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

Pros

"Many times what might have taken hours or days can be resolved in a few minutes."

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

"Synthetic transactions, WMI and SNMP query capability."

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

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

"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."

"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."

"If you want to save time for problem resolution, and to address problem on your environments you should try Riverbed OPNET."

More Aternity AppInternals [EOL] pros

"The two most valuable aspects are the Terraform provider for Datadog and the K8s Orchestrator."

"APM and tracing are super useful, and when a production issue happens, it is super useful to see the related services and sense where the problem is."

"The solution has offered increased visibility via logging APM, metrics, RUM, etc. Going from almost nothing to something that didn’t take a lot of time to set up has been great since we have so little time to spare."

"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."

"The solution's SaaS model is easy to manage and works well in single- or multi-cloud environments."

"Going from viewing a metric to creating a monitor alerting on a metric is very easy."

"For us to have visibility into our app stack and the hardware we run has been highly beneficial."

"The solution is stable and reliable."

More Datadog pros

Cons

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

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

"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."

"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."

"We had issues with the end-to-end view of unique customer: reviewing end-to-end customer problems to see where a problem is about customer, code, DB or network."

"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."

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

More Aternity AppInternals [EOL] cons

"While I like the ease of use, when compared with Tenable Nessus they could still improve their usability."

"I think better access to their engineers when we have a problem could be better."

"Datadog could improve its pricing because it is very tricky, and most of our customers notice many hidden costs."

"More granular control over dashboard sharing. Timeboard sharing."

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

"The performance, especially when were drilling into metrics we've been running for a year and a half. When you're launching old data it can get slow."

"They can cut down the prices for Cloud SIEM. It seems very useful, however, the prices are high."

"We did have an issue where a synthetic test was set up before the holiday break, and we were quickly charged a great amount. Our team worked with Datadog, and they were able to help us out since it was inadvertent on our end and was a user error."

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 price is better than some competing products."

"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."

"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."

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

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

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

"This solution is budget friendly."

"The tool is open-source."

More Datadog pricing and cost advice

See which vendors are best for you

Use our free recommendation engine to learn which Application Performance Monitoring (APM) and Observability solutions are best for your needs.

See recommendations

900,838 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

No data available

Financial Services Firm

15%

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

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...

See all answers

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 ...

See all answers

Comparisons

Dynatrace vs Aternity AppInternals [EOL]

Compared 23% of the time

Splunk AppDynamics vs Aternity AppInternals [EOL]

Compared 22% of the time

Correlsense SharePath vs Aternity AppInternals [EOL]

Compared 13% of the time

Broadcom DX Application Performance Management vs Aternity AppInternals [EOL]

Compared 8% of the time

IDERA Precise vs Aternity AppInternals [EOL]

Compared 7% of the time

More Aternity AppInternals [EOL] Competitors

Dynatrace vs Datadog

Compared 4% of the time

New Relic vs Datadog

Compared 3% of the time

Splunk AppDynamics vs Datadog

Compared 2% of the time

Azure Monitor vs Datadog

Compared 2% of the time

Splunk Enterprise Security vs Datadog

Compared 2% of the time

More Datadog Competitors

Product Reports

Buyer's Guide

Application Performance Monitoring (APM) and Observability

May 2026

Download Aternity AppInternals [EOL] product report

Buyer's Guide

Datadog

June 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

May 2026

Download Free Report

Find out what your peers are saying about Datadog, Dynatrace, Splunk and others in Application Performance Monitoring (APM) and Observability. Updated: May 2026.

DOWNLOAD NOW

900,838 professionals have used our research since 2012.

See our list of best Application Performance Monitoring (APM) and Observability vendors.

We monitor all Application Performance Monitoring (APM) and Observability reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.