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Apache CXF VS Datadog

Compare Apache CXF VS Datadog and see what are their differences

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Contents:
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  2. » Videos
  3. » Reviews
  4. » Alternatives

Apache CXF logo Apache CXF

Apache CXF, Services Framework - Index

Datadog logo Datadog

See metrics from all of your apps, tools & services in one place with Datadog's cloud monitoring as a service solution. Try it for free.
  • Apache CXF Landing page
    Landing page //
    2019-12-29
  • Datadog Landing page
    Landing page //
    2023-10-05

Datadog is a monitoring and analytics platform for cloud-scale application infrastructure. Combining metrics from servers, databases, and applications, Datadog delivers sophisticated, actionable alerts, and provides real-time visibility of your entire infrastructure. Datadog includes 100+ vendor-supported, prebuilt integrations and monitors hundreds of thousands of hosts.

Apache CXF

Website
cxf.apache.org
Pricing URL
-
$ Details
Platforms
-
Edit details

Datadog

Website
datadoghq.com
Pricing URL
Official Datadog Pricing
$ Details
freemium $15 / Monthly (per host)
Platforms
Browser REST API
Startup details
Country
United States
Edit details

Apache CXF features and specs

  • Comprehensive Web Service Support
    Apache CXF supports a wide range of web service standards including SOAP, REST, and various WS-* standards, allowing developers to work with different service types under one framework.
  • Flexibility
    CXF is highly configurable and can be customized to meet various needs ranging from simple web APIs to complex enterprise integrations, supporting both XML and JSON formats.
  • Integration
    It integrates well with other Java enterprise standards and frameworks such as Spring and JAX-RS, offering seamless integration into existing systems.
  • Active Community and Documentation
    Being an Apache project, CXF benefits from a large, active community which contributes to extensive documentation, forums, and community support.
  • Performance
    Apache CXF is designed to be lightweight and efficient, which can lead to better performance in web service communication compared to some heavier alternatives.

Possible disadvantages of Apache CXF

  • Complexity for Beginners
    The extensive features and flexibility of Apache CXF can make it complex for beginners to get started, requiring a good understanding of web service concepts and configurations.
  • Steep Learning Curve
    Due to its wide range of capabilities and configurability, mastering Apache CXF may involve a steep learning curve for developers, especially those new to web services or enterprise integration.
  • Documentation Gaps
    While there is extensive documentation, it can sometimes be outdated or lacking in detailed examples for complex configurations and newer features, which can be challenging for developers needing specific information.
  • Overhead for Simple Use-Cases
    For very simple REST or SOAP web services, Apache CXF may introduce more complexity and overhead than necessary compared to more lightweight alternatives or simpler frameworks.

Datadog features and specs

  • Comprehensive Monitoring
    Datadog offers a wide range of monitoring capabilities including infrastructure, application performance, log management, and user experience monitoring. This provides a unified view across the entire tech stack.
  • Integration Ecosystem
    With over 400 integrations available, Datadog can easily connect with virtually any service, application, and technology stack, making it highly versatile.
  • Scalability
    Datadog is designed to scale from small startups to large enterprises, providing functionalities that cater to varied sizes and complexities of operations.
  • Real-Time Data
    The platform provides real-time data and analytics, which is crucial for diagnosing and troubleshooting issues as they arise.
  • Alerting and Notifications
    Advanced alerting and notification features allow users to set up custom alerts based on metrics, enabling proactive problem resolution.
  • User-Friendly Interface
    The user interface is intuitive and easy to navigate, even for those who are not particularly technical, making it accessible to a broader range of users.
  • Security Features
    Datadog includes various security features such as compliance tracking, threat detection, and anomaly detection, enhancing overall security posture.

Possible disadvantages of Datadog

  • Cost
    Datadog can become quite expensive, especially as the volume of monitored data and the number of integrations increases. This can be a limiting factor for smaller businesses.
  • Complexity
    With its extensive feature set, Datadog can be overwhelming for new users, requiring a steep learning curve to master all functionalities.
  • Data Retention
    The default data retention period is often shorter than what some organizations require, leading to additional costs for longer retention.
  • Performance Overhead
    The extensive data collection and monitoring capabilities can add performance overhead to the monitored systems, potentially impacting their performance.
  • Customization Limitations
    While Datadog provides extensive dashboards and visualizations, some users find the customization options to be limited compared to other monitoring solutions.
  • Support
    Some users have reported that the customer support can be slow or insufficient at times, which could be a downside when facing critical issues.

Analysis of Datadog

Overall verdict

  • Datadog is generally considered a good choice for organizations needing a comprehensive monitoring solution that provides deep insights across various aspects of their technology stack. Its scalability and integration capabilities make it appealing for businesses of all sizes, especially those leveraging cloud services.

Why this product is good

  • Datadog is a powerful monitoring and analytics platform that provides comprehensive visibility into cloud-scale applications. It's known for its robust set of features, including infrastructure monitoring, application performance management, log management, and security monitoring. Datadog's ability to integrate with a vast array of services and technologies makes it a versatile tool for organizations looking to monitor complex systems. Furthermore, its real-time dashboards and alerting capabilities help teams quickly identify and address performance issues, improving reliability and efficiency.

Recommended for

  • Organizations using multiple cloud services and wanting unified monitoring.
  • IT teams looking for a detailed application performance management solution.
  • Businesses that require scalable monitoring for dynamic environments.
  • Companies seeking robust alerting and automation capabilities for infrastructure and application management.

Apache CXF videos

+ Add

15-Generating Code - SOAP WSDL to Java using Apache CXF Plugin | Maven for Beginners | Code Journal

Datadog videos

+ Add

Datadog Review & Walkthrough

More videos:

  • Review - DataDog: What it is and where its going
  • Review - Datadog: 2-Minute Tour

Category Popularity

0-100% (relative to Apache CXF and Datadog)

Apache CXF

Datadog

Developer Tools
11 11%
Developer Tools
89% 89
Monitoring Tools
0 0%
Monitoring Tools
100% 100
Ruby Web Framework
100 100%
Ruby Web Framework
0% 0
Log Management
0 0%
Log Management
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Apache CXF and Datadog

Apache CXF Reviews

We have no reviews of Apache CXF yet.
Be the first one to post

Datadog Reviews

The Best Cloud Cost Management Tool: An Expert Guide (2026)
If observability is covered by Datadog: Datadog answers *why* costs are high (e.g., a memory leak), but a FinOps tool answers *what* to do about it (e.g., resize the instance). If your primary need is correlating performance to cost, Datadog is excellent. If you need to automate the remediation of idle, oversized, or poorly scheduled resources, the gap is significant and a...
Source: nuvelia.fr
Smart Cloud Cost Optimization FinOps 2026: AWS, Datadog, Thalaxo Cloud Compared
If observability is already covered by Datadog: Datadog’s Cloud Cost Management is powerful for correlating performance with cost. It’s enough if your primary need is deep analytical insight into why costs are what they are, and you have the internal resources to translate those insights into manual actions or custom automation. However, if you need automated actions like...
Source: thalaxo.com
CloudHealth vs Vantage vs Thalaxo Cloud: Multi-Cloud FinOps Compared (2026)
If observability is already covered by Datadog or another APM: Datadog excels at performance monitoring and can attribute application costs based on resource consumption metrics. However, it primarily focuses on observing and attributing performance-related costs. A dedicated FinOps tool like Thalaxo Cloud complements this by providing deeper infrastructure cost optimization...
Source: thalaxo.com
Top Datadog Competitors and Alternatives in 2025
Datadog is a fantastic platform that provides Monitoring and analytics services to businesses and organizations. However, some users have reported encountering pain points while using the platform. For instance, the cost of Datadog can be a concern for some businesses. Datadog can be relatively expensive, especially for large-scale deployments or organizations with a high...
Source: www.atatus.com
The 10 Best Nagios Alternatives in 2024 (Paid and Open-source)
10 Best Datadog Alternatives to Consider in 2023 Datadog is one of the most potent and versatile players on the market, but they have their fair share of downsides. The monitoring and observability space is quite competitive, so we will discuss 10 of the best Datadog alternatives and compare their pros and cons to determine which is better suited for your needs.
Source: betterstack.com

Social recommendations and mentions

Based on our record, Datadog should be more popular than Apache CXF. It has been mentiond 5 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Apache CXF mentions (2)

  • It's 2023. Your API should have a schema
    SOAP died because it is awful. There are plenty of java libraries that can generate java code from a WSDL. Apache CXF seem to be the fairly standard library people use. (https://cxf.apache.org). Source: about 3 years ago
  • What’s Coming in Jakarta REST 3.1?
    A few years back, Adam Bien wrote an excellent blog post on how to configure JSON-B in a Jakarta REST application. The only trouble is that at that time, the approach only worked with Eclipse Jersey. Since then other implementations (including Open Liberty via Apache CXF) also enabled this functionality, but it will become a standard in 3.1, enabling more portable usage of JSON-B configuration. - Source: dev.to / over 5 years ago

Datadog mentions (5)

  • Send the logs of your Shuttle-powered backend to Datadog
    Ideally, if we had access to the underlying infrastructure, we could probably install the Datadog Agent and configure it to send our logs directly to Datadog, or even use AWS Lambda functions or Azure Event Hub + Azure Functions in case we were facing some specific cloud scenarios. - Source: dev.to / almost 3 years ago
  • I wanted a self hosted alternative to Atlassian status page so I build my own application !
    Currently supported : Datadog, Jenkins, DNS, HTTP. Source: almost 4 years ago
  • Datadog on Kubernetes: Avoiding Common Pitfalls
    Datadog is a powerful monitoring and security platform that gives you visibility into end-to-end traces, application metrics, logs, and infrastructure. While Datadog has great documentation on their Kubernetes integration, we've observed that there's some missed nuance that leads to common pitfalls. - Source: dev.to / about 5 years ago
  • Post-DockerCon spam
    .. Is to see you email address being silently distributed to every single company that I've watched a talk from. And now suddenly get several promotional spam emails per day from some 4-5 different domains like instana.com, datadoghq.com, snyk.io, cockroachlabs.com (some of them send even multiple emails per day!). Source: about 5 years ago
  • Never write a UserService again
    We're commonly doing this with logging, using services such as Loggly or DataDog. We're using managed databases, be it on AWS, Heroku or database-vendor-specific solutions. We're storing binaries on S3. Externalising user authentication and authorization might be a good candidate as well. - Source: dev.to / over 5 years ago

What are some alternatives?

When comparing Apache CXF and Datadog, you can also consider the following products

ASP.NET - ASP.NET is a free web framework for building great Web sites and Web applications using HTML, CSS and JavaScript.

Zabbix - Track, record, alert and visualize performance and availability of IT resources

jQuery UI - Curated set of user interface interactions, effects, widgets, and themes built on top of the jQuery JavaScript Library

NewRelic - New Relic is a Software Analytics company that makes sense of billions of metrics across millions of apps. We help the people who build modern software understand the stories their data is trying to tell them.

Font Awesome - Font Awesome makes it easy to add vector icons and social logos to your website. And version 5 is redesigned and built from the ground up!

Dynatrace - Cloud-based quality testing, performance monitoring and analytics for mobile apps and websites. Get started with Keynote today!

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