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Apache ActiveMQ VS Stackify

Compare Apache ActiveMQ VS Stackify and see what are their differences

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Apache ActiveMQ logo Apache ActiveMQ

Apache ActiveMQ is an open source messaging and integration patterns server.

Stackify logo Stackify

Stackify is the only developers-friendly solution that integrates error and log management with application performance monitoring. Code more support less. Start your free trial now
  • Apache ActiveMQ Landing page
    Landing page //
    2021-10-01
  • Stackify Landing page
    Landing page //
    2023-10-17

Apache ActiveMQ features and specs

  • Open Source
    ActiveMQ is open-source under the Apache License, making it free to use and modify. This can lead to cost savings compared to commercial solutions.
  • Wide Protocol Support
    ActiveMQ supports multiple messaging protocols, including AMQP, MQTT, OpenWire, Stomp, and others, allowing for flexible integration with various systems and applications.
  • Java Integration
    Written in Java, ActiveMQ integrates well with JVM-based applications and other Apache projects like Camel and Karaf, making it a good fit for Java-centric environments.
  • High Availability
    Features like broker clustering, network of brokers, and failover support provide robust high availability options, ensuring message delivery even in case of failures.
  • Performance and Scalability
    ActiveMQ can handle a large number of messages and users by scaling horizontally, making it suitable for both small and enterprise-level applications.
  • Admin Console
    ActiveMQ provides a web-based admin console for easy management and monitoring of the message broker, simplifying administrative tasks.

Possible disadvantages of Apache ActiveMQ

  • Complex Configuration
    The initial setup and configuration can be complex, especially for newcomers. It often requires a steep learning curve to understand all the available options and optimizations.
  • Resource Intensive
    ActiveMQ can be resource-intensive, particularly in high-throughput scenarios, which may necessitate more robust hardware for optimal performance.
  • Latency
    In certain configurations, ActiveMQ may exhibit higher latency compared to other brokers, which might not make it suitable for use cases requiring real-time guarantees.
  • Java Dependency
    As a Java-based solution, ActiveMQ requires the JVM, which can be a downside for organizations that have standardized on other technology stacks.
  • Community Support
    While there is a community around ActiveMQ, it may not be as large or as active as those for other, similar open-source projects. This can lead to slower responses to issues and fewer community-based resources.
  • Documentation
    Though comprehensive, the documentation can sometimes be difficult to navigate, making it challenging for users to find specific information quickly.

Stackify features and specs

  • Comprehensive Monitoring
    Stackify offers comprehensive application performance management (APM) with real-time insights into application health, allowing developers to efficiently monitor applications and resolve issues.
  • Error Tracking
    Stackify's error tracking and logging capabilities help capture errors and log details seamlessly, making it easier to troubleshoot and fix critical issues.
  • User-Friendly Interface
    The platform provides an intuitive and user-friendly interface that simplifies navigation and usage for development teams, improving overall user experience.
  • Integration Capabilities
    Stackify integrates well with numerous third-party tools and platforms, enhancing its functionality and the ecosystem for developers.
  • Resource Management
    It helps in effectively managing and optimizing system resources, contributing to enhanced application performance and stability.

Possible disadvantages of Stackify

  • Pricing
    For small businesses or startups, the pricing model may be considered relatively high, potentially limiting access to its full suite of features.
  • Complex Configurations
    Some users report that initial setup and configuration can be complex and time-consuming, which may require additional technical expertise.
  • Limited Customization
    Despite its robust features, some users feel that customization options are limited, which might restrict tailoring the platform to specific business needs.
  • Overhead
    The tool can introduce additional overhead, impacting application performance, especially in heavily loaded environments.
  • Learning Curve
    There is a learning curve associated with mastering the full capabilities of Stackify, impacting the time to benefit realization.

Analysis of Apache ActiveMQ

Overall verdict

  • Apache ActiveMQ is generally considered a good choice for message brokering due to its comprehensive feature set, stability, and scalability. It is especially beneficial in environments where integration between different systems and technologies is necessary, thanks to its support of numerous messaging protocols.

Why this product is good

  • Apache ActiveMQ is a popular open-source message broker that is known for its flexibility and reliability. It supports multiple messaging protocols and offers features such as high availability, load balancing, and a robust set of messaging patterns. It is a mature project with a large user base and a supportive community. Its ability to integrate with various platforms and languages, along with its rich feature set, makes it a suitable choice for many applications requiring reliable message queuing.

Recommended for

    Apache ActiveMQ is recommended for enterprises looking for a reliable and scalable message broker, developers needing rich messaging functionality, and organizations that require robust support for various messaging protocols, including JMS, AMQP, STOMP, and MQTT. It is particularly well-suited for applications that need to distribute messages between different applications, languages, and platforms.

Apache ActiveMQ videos

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Stackify videos

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Quick Tour: Stackify Retrace

More videos:

  • Review - Life of an Entrepreneur: Matt Watson, Stackify

Category Popularity

0-100% (relative to Apache ActiveMQ and Stackify)

Apache ActiveMQ

Stackify

Data Integration
100 100%
Data Integration
0% 0
Monitoring Tools
0 0%
Monitoring Tools
100% 100
Stream Processing
100 100%
Stream Processing
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 ActiveMQ and Stackify

Apache ActiveMQ Reviews

6 Best Kafka Alternatives: 2022’s Must-know List
ActiveMQ is a flexible, open-source, multi-protocol messaging broker that supports many protocols. This makes it easy for developers to use a variety of languages and platforms. The AMQP protocol facilitates integration with many applications based on different platforms. However, ActiveMQ’s high-end data accessibility capabilities are complemented by its load balancing,...
Source: hevodata.com
Top 15 Alternatives to RabbitMQ In 2021
It is a managed information broker for Apache ActiveMQ which has simple installation and it runs message broker in cloud. It doesn’t need any special look after regular management and maintenance of the message system. It is utilized to send bulk message services.
Source: gokicker.com
Top 15 Kafka Alternatives Popular In 2021
Apache ActiveMQ is a popular, open-source, flexible multi-protocol messaging broker. Since it has great support for industry-based protocols, developers get access to languages and platforms. It helps in connecting clients written in languages like Python, C, C++, JavaScript, etc. With the help of the AMQP protocol, integration with many applications with different platforms...
Source: www.spec-india.com

Stackify Reviews

10 Best Application Monitoring Tools for all Platforms
Another cool app monitoring tool that you can use is Stackify which is unique to perform monitoring to database server and application. The best thing about this app monitoring software is that it offers safe access to all contextual data so that you know what happens to it as well as know the reason why it may happen. As it works like on the other app monitoring tools,...
Source: www.technig.com
Which are the best application monitoring tools?
This application-monitoring tool is unique because it performs application and database server monitoring. The best thing about this tool is that it offers secure access to all appropriate data, allowing you to know what happens to it and why. Because it works like other app monitoring tools, Stackify offers real-time alerts and notifications, allowing you to know the status...
Source: www.econotimes.com

Social recommendations and mentions

Based on our record, Apache ActiveMQ should be more popular than Stackify. It has been mentiond 7 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 ActiveMQ mentions (7)

View more

Stackify mentions (2)

  • Waiver and Lineup Optimization
    FYI - https://stackify.com offers some good code/application monitoring tools to track bugs on your server. Source: over 2 years ago
  • Tech Startup Logo Feedback (more in comments)
    Stackify.com already exists thats why I added .so. Source: over 3 years ago

What are some alternatives?

When comparing Apache ActiveMQ and Stackify, you can also consider the following products

RabbitMQ - RabbitMQ is an open source message broker software.

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.

IBM MQ - IBM MQ is messaging middleware that simplifies and accelerates the integration of diverse applications and data across multiple platforms.

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.

Apache Kafka - Apache Kafka is an open-source message broker project developed by the Apache Software Foundation written in Scala.

Sentry.io - From error tracking to performance monitoring, developers can see what actually matters, solve quicker, and learn continuously about their applications - from the frontend to the backend.

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