Software Alternatives & Reviews

Apache Flink VS Apache ActiveMQ

Compare Apache Flink VS Apache ActiveMQ and see what are their differences

Apache Flink logo Apache Flink

Flink is a streaming dataflow engine that provides data distribution, communication, and fault tolerance for distributed computations.

Apache ActiveMQ logo Apache ActiveMQ

Apache ActiveMQ is an open source messaging and integration patterns server.
  • Apache Flink Landing page
    Landing page //
    2023-10-03
  • Apache ActiveMQ Landing page
    Landing page //
    2021-10-01

Apache Flink videos

GOTO 2019 • Introduction to Stateful Stream Processing with Apache Flink • Robert Metzger

More videos:

  • Tutorial - Apache Flink Tutorial | Flink vs Spark | Real Time Analytics Using Flink | Apache Flink Training
  • Tutorial - How to build a modern stream processor: The science behind Apache Flink - Stefan Richter

Apache ActiveMQ videos

No Apache ActiveMQ videos yet. You could help us improve this page by suggesting one.

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Category Popularity

0-100% (relative to Apache Flink and Apache ActiveMQ)
Big Data
100 100%
0% 0
Data Integration
0 0%
100% 100
Stream Processing
45 45%
55% 55
Web Service Automation
0 0%
100% 100

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Reviews

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

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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...

Social recommendations and mentions

Based on our record, Apache Flink should be more popular than Apache ActiveMQ. It has been mentiond 28 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 Flink mentions (28)

  • Show HN: An SQS Alternative on Postgres
    You should let the Apache Flink team know, they mention exactly-once processing on their home page (under "correctness guarantees") and in their list of features. [0] https://flink.apache.org/ [1] https://flink.apache.org/what-is-flink/flink-applications/#building-blocks-for-streaming-applications. - Source: Hacker News / 4 days ago
  • Top 10 Common Data Engineers and Scientists Pain Points in 2024
    Data scientists often prefer Python for its simplicity and powerful libraries like Pandas or SciPy. However, many real-time data processing tools are Java-based. Take the example of Kafka, Flink, or Spark streaming. While these tools have their Python API/wrapper libraries, they introduce increased latency, and data scientists need to manage dependencies for both Python and JVM environments. For example,... - Source: dev.to / about 1 month ago
  • Choosing Between a Streaming Database and a Stream Processing Framework in Python
    Other stream processing engines (such as Flink and Spark Streaming) provide SQL interfaces too, but the key difference is a streaming database has its storage. Stream processing engines require a dedicated database to store input and output data. On the other hand, streaming databases utilize cloud-native storage to maintain materialized views and states, allowing data replication and independent storage scaling. - Source: dev.to / 3 months ago
  • Go concurrency simplified. Part 4: Post office as a data pipeline
    Also, this knowledge applies to learning more about data engineering, as this field of software engineering relies heavily on the event-driven approach via tools like Spark, Flink, Kafka, etc. - Source: dev.to / 5 months ago
  • Five Apache projects you probably didn't know about
    Apache SeaTunnel is a data integration platform that offers the three pillars of data pipelines: sources, transforms, and sinks. It offers an abstract API over three possible engines: the Zeta engine from SeaTunnel or a wrapper around Apache Spark or Apache Flink. Be careful, as each engine comes with its own set of features. - Source: dev.to / 5 months ago
View more

Apache ActiveMQ mentions (5)

What are some alternatives?

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

Apache Spark - Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.

RabbitMQ - RabbitMQ is an open source message broker software.

Amazon Kinesis - Amazon Kinesis services make it easy to work with real-time streaming data in the AWS cloud.

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

Spring Framework - The Spring Framework provides a comprehensive programming and configuration model for modern Java-based enterprise applications - on any kind of deployment platform.

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