Software Alternatives & Startups

Datadog VS Apache Eagle

Compare Datadog VS Apache Eagle and see what are their differences

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.

Rating
0 reviews
Pricing
Freemium Free trial $15 / Monthly (per host)
Apache Eagle

Apache Eagle is an open source analytics solution for identifying security and performance issues instantly on big data platforms.

Rating
0 reviews

Which is more popular?

Based on our record, Datadog seems to be more popular. It has been mentioned 5 times since March 2021.

social mentions
5 vs 0
Monitoring Tools popularity
99% vs 1%
alternatives listed
240+ vs 16

Base details

Website, pricing, platforms and company facts side by side.

Datadog
Apache Eagle
Website datadoghq.com eagle.apache.org
Pricing
Freemium Free trial $15 / Monthly (per host) Official pricing
Platforms
Browser REST API
Company Startup from the United States
Listed in

About Datadog and Apache Eagle

In their own words, as submitted to SaaSHub.

Datadog
Apache Eagle

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+...

Read more about Datadog

No description of Apache Eagle yet.

Features and specs

What each product offers, as listed by its team.

Datadog 7 features
Apache Eagle 5 features
  • 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

  • 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.
  • Real-time Monitoring
    Apache Eagle offers real-time monitoring capabilities for large-scale, distributed systems, allowing users to quickly detect and respond to anomalies or security threats.
  • Scalability
    Designed to handle large volumes of data, Apache Eagle can scale seamlessly in distributed environments, making it suitable for big data applications.
  • Extensibility
    The platform's architecture is designed to be extensible, allowing users to plug in custom modules and extend its functionality to fit specific monitoring needs.
  • Open Source
    As an Apache Software Foundation project, Apache Eagle is open-source, providing the flexibility to modify and adapt the software according to organizational needs without licensing costs.
  • Flexible Configuration
    Apache Eagle supports a variety of configuration options to tailor the monitoring and alerting system to different environments and requirements.

Possible disadvantages

  • Complex Setup
    Setting up Apache Eagle can be complex, requiring a good understanding of its components and underlying technologies, which could be a barrier for smaller teams with limited expertise.
  • Steep Learning Curve
    Users may face a steep learning curve when trying to fully utilize Apache Eagle, especially those who are new to Hadoop and big data technologies.
  • Limited Documentation
    Some users may find the available documentation limited, which might make it difficult to troubleshoot issues or maximize the platform's capabilities.
  • Community Support
    While Apache projects generally have good community backing, the level of active community support for Apache Eagle may not be as robust as some of the more mature Apache projects.

Analysis

An editorial look at what each product does well and who it suits.

Datadog
Apache Eagle

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.

Overall verdict

  • Apache Eagle is a solid choice for organizations needing real-time monitoring for data security and performance across big data platforms, though it has become less actively maintained in recent years as an Apache project.

Why this product is good

  • Provides real-time detection of security breaches and performance issues in big data platforms like Hadoop, Spark, and HBase
  • Uses machine learning-based policies to identify anomalous behavior and potential threats
  • Offers a distributed, scalable architecture built on top of Apache Storm or Flink for stream processing
  • Includes a comprehensive alerting framework with customizable policies and notifications
  • Open-source with Apache License 2.0, allowing free use and modification
  • Supports integration with various data sources including HDFS audit logs, MapReduce job history, and JMX metrics
  • Provides a policy engine that allows users to define custom detection rules using SQL-like syntax

Recommended for

  • Enterprises running large-scale Hadoop or big data clusters that need security monitoring
  • Organizations requiring real-time anomaly detection for insider threats or data breaches
  • Data platform administrators who need centralized monitoring and alerting
  • Companies with compliance requirements needing audit trails and security analytics for big data environments
  • Technical teams comfortable with open-source tools and willing to invest in customization and maintenance
  • Organizations already using Hadoop ecosystem tools who want native integration for security monitoring

Videos

Walkthroughs and reviews on video.

Datadog 3 videos + Add
Apache Eagle 3 videos + Add

Datadog Review & Walkthrough

More videos

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

1973 Apache Eagle Tent Trailer For Sale. Tow it with a Volkswagen.

More videos

  • - Taking down a 1962 Apache Eagle
  • - First tour of my rebuilt 1962 Apache Eagle

Category popularity

How often each product is chosen within a category, 0–100% relative to the other.

Score bands 0–20 21–40 41–50 51–60 61–100
Datadog
Apache Eagle
99% 99%
1% 1%
100% 100%
0% 0%
0% 0%
100% 100%
100% 100%
0% 0%

User comments

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Reviews and articles

External articles and on-site reviews we used to compare the two products.

Datadog no reviews yet
Apache Eagle no reviews yet

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

Social recommendations and mentions

Recommendations tracked on public social media and blogs since March 2021.

Datadog 5 mentions
Apache Eagle 0 mentions

View more

Tracking Apache Eagle since Mar 2021.

Alternatives to Datadog and Apache Eagle

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