Aternity AppInternals [EOL] vs Datadog comparison

Aternity AppInternals [EOL]

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Executive SummaryUpdated on Apr 6, 2025

Aternity AppInternals [EOL] and Datadog are key players in IT performance monitoring. Datadog holds an edge due to its diversity in features, making it a choice for extensive operational needs.

Features: Aternity AppInternals [EOL] offers robust transaction monitoring, insightful root cause analysis, and ease of use without performance overhead. Datadog provides comprehensive integration options, intuitive user interface, and extensive logging and tracing capabilities.

Room for Improvement: Aternity AppInternals [EOL] could enhance its visualization tools, expand integration capabilities, and improve scalability. Datadog may benefit from simplifying its complex deployment, offering more competitive pricing, and addressing occasional customer support wait times.

Ease of Deployment and Customer Service: Aternity AppInternals [EOL] is noted for its simple deployment process and strong customer service, ensuring an easy transition for users. Datadog, despite its complex setup, provides reliable support and extensive documentation to aid in longer implementation phases.

Pricing and ROI: Aternity AppInternals [EOL] offers cost-effective initial setup and clear ROI through targeted features. Datadog, while perceived as more expensive, justifies costs with its advanced feature set and long-term value proposition.

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

187

Ranking in other categories

Application Performance Monitoring (APM) and Observability (1st), Network Monitoring Software (3rd), IT Infrastructure Monitoring (2nd), Log Management (3rd), Container Monitoring (1st), Cloud Monitoring Software (1st), AIOps (1st), Cloud Security Posture Management (CSPM) (8th)

Featured Reviews

it_user408081

Senior Manager at a tech services company with 1,001-5,000 employees

We use it to see the experience of users hitting our sites and analyze performance by region, browser, etc.

* Transaction Trace Warehouse (TTW) which records all transactions all the time, and lets us see performance down to the line of code. * 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.

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Kevin Palmer

DevOps/Security Principal at Raken

Useful log aggregation and management with helpful metrics aggregation

Datadog provides us value in three major ways: First, Datadog provides best-in-class functionality in many, if not all, of the products to which we subscribe (infrastructure, APM, log management, serverless, synthetics, real user monitoring, DB monitoring). In my experience with other tools that provide similar functionality, Datadog provides the largest feature set with the most flexibility and the best performance. Second, Datadog allows us to access all of those services in one place. Having to learn and manage only one tool for all of those purposes is a major benefit. Third, Datadog provides significant connectivity between those services so that we can view, summarize, organize, translate and correlate our data with maximum effect. Not needing to manually integrate them to draw lines between those pieces of information is a huge time savings for us.

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

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

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

"Synthetic transactions, WMI and SNMP query capability."

"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."

"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."

"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."

More Aternity AppInternals [EOL] pros

"We have hundreds of microservices, and knowing how top-level requests weave throughout all of them is invaluable."

"The product has offered increased visibility via logging APM, metrics, RUM, etc."

"We have found that we're able to get in and out of troubleshooting issues much more rapidly, which in turn, of course, enables us to spend more time on our products."

"Datadog has proven to be easy to set up and legible for both development and operational teams."

"It is easy to implement and scale applications with standardized visibility, monitoring and alerting"

"Datadog is easy to use and easy to deploy. It's a better solution compared to others on the market in terms of being budget friendly for our customers."

"We've been able to glean from the monitors what servers are down, and can alert the team in Slack."

"The visibility that it provides is valuable. It is helping in being proactive around incident management. It is helping us to be able to get more visibility into our customers' applications so that we can assist them at the application layer. We also provide them the infrastructure from an AWS standpoint. We are able to make sure that our customers are aware of certain critical things around the analytical piece of either the network or the application. We're able to call customers before they even know about the issue. From there, we can start putting together some change management processes and help them a bit."

More Datadog pros

Cons

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

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

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

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

"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."

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

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

More Aternity AppInternals [EOL] cons

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

"I've only been using Datadog for a few months, and at first, it was frankly overwhelming in terms of both the UI and the available capabilities."

"ECS could be improved by including more tutorials for beginners to reduce the barriers to entry."

"The parallel editing of the dashboards should not cause users to lose the work of another person."

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

"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."

"It could probably be a little bit of a better user experience."

"As a new customer, the Datadog user interface is a bit daunting."

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."

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

"The pricing came up a bit compared to their competitors. It is not that the price has risen, but that the competitors have gone down. They keep adding more features that I would have expected to be baked in at a more nominal price. I have been increasingly dissatisfied with the pricing, but not enough to jump ship."

"The price is better than some competing products."

"They prefer monthly subscriptions."

"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 has a module-based pricing model."

"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."

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

More Datadog pricing and cost advice

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Top Industries

By visitors reading reviews

No data available

Educational Organization

27%

Computer Software Company

12%

Financial Services Firm

11%

Manufacturing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

Questions from the Community

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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 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