Aternity AppInternals [EOL] vs Datadog comparison

Aternity AppInternals [EOL]

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Executive SummaryUpdated on Jul 13, 2025

Aternity AppInternals [EOL] and Datadog compete in application performance monitoring. Datadog has the upper hand due to its comprehensive features and analytics capabilities, despite higher costs.

Features: Aternity AppInternals [EOL] provides transaction tracing, root cause analysis, and resource consumption insights. Datadog offers real-time performance dashboards, multi-cloud monitoring, and extensive integrations, providing flexibility and deeper visibility.

Room for Improvement: Aternity could enhance its cloud-based capabilities, improve integration options, and expand its real-time analytics. Datadog could lower costs, better optimize for smaller businesses, and simplify its interface.

Ease of Deployment and Customer Service: Aternity AppInternals [EOL] features straightforward deployment with reliable support in traditional environments. Datadog's cloud-native deployment offers seamless scalability with extensive online resources, making it stand out.

Pricing and ROI: Aternity AppInternals [EOL] offers lower initial setup costs with strong ROI in traditional setups. Datadog requires a higher investment but provides significant ROI through analytics and reduced downtime reflecting its capabilities and long-term benefits.

To learn more, read our detailed Application Performance Monitoring (APM) and Observability Report (Updated: August 2025).

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

7.1

Number of Reviews

188

Ranking in other categories

Application Performance Monitoring (APM) and Observability (1st), Network Monitoring Software (4th), IT Infrastructure Monitoring (2nd), Log Management (3rd), Container Monitoring (1st), Cloud Monitoring Software (2nd), AIOps (1st), Cloud Security Posture Management (CSPM) (7th)

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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reviewer820579

Senior Product Manager at Redfin Corp

Single pane of glass, easy to share dashboards, and good for monitoring

We've had some issues where we had Datadog automatically turned on in AWS regions that we weren't using, which incurred a small but steady cost that amounted to tens of thousands of dollars spent over a few weeks. I wish there was a global setting that lets an admin restrict which regions DD is turned on in as a default setup step. Sometimes, the APM service dashboard link isn't sharable. I click something in the service catalog, and on that service's APM default view, I try to share a link to that with a teammate, and they reach a blank or error screen. I wish there was more organization and detail in the suggestions when I use the query editor. I'm never quite sure when the autofill dropdown shows up if I'm seeing some custom tag or some default property, so I have to know exactly what I'm looking for in order to build a chart. It's hard to navigate and explore using the query autofill suggestions without knowing exactly what tag to look for. It's been a bit hard to understand how data gets sampled or how many data points a particular dashboard value is using. We've had questions over the RUM metrics that we see and we had to ask for help with how values are calculated, bin sizes, etc to get confidence in our data.

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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

"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."

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

"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"

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

"Synthetic transactions, WMI and SNMP query capability."

More Aternity AppInternals [EOL] pros

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

"The performance of Datadog is good."

"Several critical dashboards were created years ago and are still in use today."

"The solution is useful for monitoring logs."

"The solution has improved the organization by providing good insights into app performance and offering good dashboards."

"We really like the charts and visualization."

"The infrastructure monitoring capabilities are really valuable. You can just log on and see everything that is happening within an IT environment."

"The most useful feature is the APM."

More Datadog pros

Cons

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

"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."

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

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

"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."

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

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

More Aternity AppInternals [EOL] cons

"There could be more easily identifiable documentation on how to find different things on the platform."

"Presently, the billing CSV reports provide insights into billing-related information yet are somewhat limited in functionality, typically offering reports with only three columns."

"There are some areas on log filtering screens where the user interface can take some getting used to."

"Its pricing model can be improved. Its settings should be improved for a better understanding of billing. They should also provide some alerts when there is an increase in the usage. For example, if there is 20% more increase from one week to another, the customer should get an alert."

"The correlation between the logs and the metrics needs improvement as most cases, we might use another logging tool (that is cheaper in cost) which we then have to link together."

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

"Since the Datadog platform has so many separate features, solving so many use cases, there are often inconsistencies in feature availability and interoperability between products."

"All solutions have some area to improve, and in Datadog they can improve their overall technology moving forward."

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."

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

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

"If you do your homework, you'll find that if you're really concerned with cost, it's good."

"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."

"At my last company, we did see ROI, specifically around response time. We could get to mission critical things that were down and losing revenue on immediately. So, the product paid itself back."

"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."

"Datadog does not provide any free plans to use the solution. When I start with a proof of concept it would be sensible to have a free plan to test the tool and check whether it fits the requirements of the project. Before the production stage, it is always good to have a free plan with some limited features, number of requests, or logs."

More Datadog pricing and cost advice

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Top Industries

By visitors reading reviews

No data available

Financial Services Firm

15%

Computer Software Company

14%

Manufacturing Company

Healthcare Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

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 is a comprehensive cloud monitoring platform designed to track performance, availability, and log aggregation for cloud resources like AWS, ECS, and Kubernetes. It offers robust tools for creating dashboards, observing user behavior, alerting, telemetry, security monitoring, and synthetic testing.

Datadog supports full observability across cloud providers and environments, enabling troubleshooting, error detection, and performance analysis to maintain system reliability. It offers detailed visualization of servers, integrates seamlessly with cloud providers like AWS, and provides powerful out-of-the-box dashboards and log analytics. Despite its strengths, users often note the need for better integration with other solutions and improved application-level insights. Common challenges include a complex pricing model, setup difficulties, and navigation issues. Users frequently mention the need for clearer documentation, faster loading times, enhanced error traceability, and better log management.

What are the key features of Datadog?

Graphs and Dashboards: Visualizes servers and infrastructure with customizable views.
Metrics: Offers deep insights into system performance and user behavior.
Log Management: Provides powerful analytics for logs and seamless log aggregation.
Unified Tagging: Facilitates organization and retrieval of metrics and logs.
APM and RUM: Enables application performance monitoring and real user monitoring for comprehensive insights.
Synthetic Testing: Allows the simulation of user interactions to test application performance.

What benefits and ROI should users look for in reviews?

System Reliability: Helps ensure uptime and performance across cloud environments.
Proactive Issue Resolution: Assists in identifying and resolving issues before they impact users.
Operational Efficiency: Streamlines monitoring and log management tasks.
Flexible Integrations: Adapts to various cloud services and infrastructure setups.
Real-Time Alerts: Provides timely notifications to address problems swiftly.

Datadog is implemented across different industries, from tech companies monitoring cloud applications to finance sectors ensuring transactional systems' performance. E-commerce platforms use Datadog to track and visualize user behavior and system health, while healthcare organizations utilize it for maintaining secure, compliant environments. Every implementation assists teams in customizing monitoring solutions specific to their industry's requirements.

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