Aternity AppInternals [EOL] vs Datadog comparison

Aternity AppInternals [EOL]

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Executive SummaryUpdated on Jan 5, 2025

Aternity AppInternals and Datadog are application performance monitoring tools, with Datadog leading due to a richer feature set.

Features: Aternity AppInternals provides detailed transaction tracing, in-depth performance analytics, and minimal overhead on application servers. Datadog offers extensive integrations, real-time monitoring, and customizable dashboards.

Room for Improvement: Aternity AppInternals can enhance its end-of-life relevance, update features, and expand infrastructure support. Datadog can optimize pricing models, enhance synthetics reliability, and provide better cross-tool integration.

Ease of Deployment and Customer Service: Aternity AppInternals is easy to implement with reliable support focusing on application insights. Datadog boasts flexible deployment and strong customer service, aided by extensive documentation and community support.

Pricing and ROI: Aternity AppInternals is cost-effective but impacted by its end-of-life status. Datadog, with tiered pricing, offers more features and updates, aligning costs with comprehensive capabilities for strategic benefits.

To learn more, read our detailed Application Performance Monitoring (APM) and Observability Report (Updated: March 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 (3rd), IT Infrastructure Monitoring (2nd), Log Management (3rd), Container Monitoring (2nd), Cloud Monitoring Software (1st), AIOps (1st), Cloud Security Posture Management (CSPM) (7th)

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

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

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

"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 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."

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

More Aternity AppInternals [EOL] pros

"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."

"I have found error reporting and log centralization the most valuable features. Overall, Datadog provides a full package solution."

"It has saved us a lot of trouble in implementation."

"The tools are powerful and intuitive to set up."

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

"The seamless integration between Datadog and hundreds of apps makes onboarding new products and teams a breeze."

"The solution has helped our organization with custom events to track specific cases."

"The solution has helped out organization gain improved visibility."

More Datadog pros

Cons

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

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

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

"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."

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

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

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

More Aternity AppInternals [EOL] cons

"The installation is easy for me. However, if you are new to this solution it might not be so easy."

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

"Datadog could be improved if it could detect other software in a container or server."

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

"Federated views for Datadog dashboards are critical as large companies utilize multiple instances of the product and cannot link the metrics or correlate the metrics together. This stunts the usage of Datadog."

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

"It seems that admin cost control granularity is an afterthought."

"I'd like to see an expansion of the Android and IOS apps to have a simplified CI/CD pipeline history view."

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."

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

"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."

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

"The tool is open-source."

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

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

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

More Datadog pricing and cost advice

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Top Industries

By visitors reading reviews

No data available

Educational Organization

37%

Computer Software Company

10%

Financial Services Firm

10%

Manufacturing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

Questions from the Community

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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