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IBM MQ VS Apache Beam

Compare IBM MQ VS Apache Beam and see what are their differences

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Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

IBM MQ logo IBM MQ

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

Apache Beam logo Apache Beam

Apache Beam provides an advanced unified programming model to implement batch and streaming data processing jobs.
  • IBM MQ Landing page
    Landing page //
    2023-07-03
  • Apache Beam Landing page
    Landing page //
    2022-03-31

IBM MQ videos

+ Add

IBM MQ Clustering - Tom Dunlap

More videos:

  • Review - IBM Blockchain Platform - 2019 Review - All You Need to Know
  • Review - IBM MQ V9 Open Source Monitoring
  • Review - IBM Blockchain Platform Community Call – Next Generation Platform Tour + Q&A
  • Review - The next generation of the IBM Blockchain Platform

Apache Beam videos

+ Add

How to Write Batch or Streaming Data Pipelines with Apache Beam in 15 mins with James Malone

More videos:

  • Review - Best practices towards a production-ready pipeline with Apache Beam
  • Review - Streaming data into Apache Beam with Kafka

Category Popularity

0-100% (relative to IBM MQ and Apache Beam)

IBM MQ

Apache Beam

Cloud Computing
100 100%
Cloud Computing
0% 0
Big Data
0 0%
Big Data
100% 100
Data Integration
100 100%
Data Integration
0% 0
Data Dashboard
0 0%
Data Dashboard
100% 100

User comments

Share your experience with using IBM MQ and Apache Beam. For example, how are they different and which one is better?
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Reviews

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

IBM MQ Reviews

6 Best Kafka Alternatives: 2022’s Must-know List
IBM MQ is one of the best Kafka Alternatives which has an easy-to-use Interface and High Reliability and Data Security. It also facilitates the interoperability between various applications, either within or outside the organization. IBM MQ allows developers to focus on critical issues and manage any changes to transaction volumes asynchronously due to its simple structure.
Source: hevodata.com
Top 15 Alternatives to RabbitMQ In 2021
IBM MQ is an official message middleware which shortens the integration of varied applications and data spread throughout numerous platforms. It employs a message queue to share the info and offers a distinct messaging service for cloud systems, IoT gadgets, and mobile environments. By linking every element virtually from modest device to most complicated industrial...
Source: gokicker.com
Top 15 Kafka Alternatives Popular In 2021
IBM MQ is an easily usable interface with a great deal of reliability and security. Support is readily available in case needed anytime. It looks at handling the interoperability between various applications, be it within the organization or outside. It has asynchronous competencies and offers message integrity and relentless delivery. Because of its simplistic nature, it...
Source: www.spec-india.com

Apache Beam Reviews

We have no reviews of Apache Beam yet.
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Social recommendations and mentions

Based on our record, Apache Beam seems to be more popular. It has been mentiond 14 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.

IBM MQ mentions (0)

We have not tracked any mentions of IBM MQ yet. Tracking of IBM MQ recommendations started around Mar 2021.

Apache Beam mentions (14)

  • Ask HN: Does (or why does) anyone use MapReduce anymore?
    The "streaming systems" book answers your question and more: https://www.oreilly.com/library/view/streaming-systems/9781491983867/. It gives you a history of how batch processing started with MapReduce, and how attempts at scaling by moving towards streaming systems gave us all the subsequent frameworks (Spark, Beam, etc.). As for the framework called MapReduce, it isn't used much, but its descendant... - Source: Hacker News / 5 months ago
  • How do Streaming Aggregation Pipelines work?
    Apache Beam is one of many tools that you can use. Source: 6 months ago
  • Real Time Data Infra Stack
    Apache Beam: Streaming framework which can be run on several runner such as Apache Flink and GCP Dataflow. - Source: dev.to / over 1 year ago
  • Google Cloud Reference
    Apache Beam: Batch/streaming data processing 🔗Link. - Source: dev.to / almost 2 years ago
  • Composer out of resources - "INFO Task exited with return code Negsignal.SIGKILL"
    What you are looking for is Dataflow. It can be a bit tricky to wrap your head around at first, but I highly suggest leaning into this technology for most of your data engineering needs. It's based on the open source Apache Beam framework that originated at Google. We use an internal version of this system at Google for virtually all of our pipeline tasks, from a few GB, to Exabyte scale systems -- it can do it all. Source: almost 2 years ago
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What are some alternatives?

When comparing IBM MQ and Apache Beam, you can also consider the following products

RabbitMQ - RabbitMQ is an open source message broker software.

Google Cloud Dataflow - Google Cloud Dataflow is a fully-managed cloud service and programming model for batch and streaming big data processing.

Ethereum - Ethereum is a decentralized platform for applications that run exactly as programmed without any chance of fraud, censorship or third-party interference.

Apache Airflow - Airflow is a platform to programmaticaly author, schedule and monitor data pipelines.

Hyperledger - Hyperledger is a multi-project open source collaborative effort hosted by The Linux Foundation, created to advance cross-industry blockchain technologies.

Amazon EMR - Amazon Elastic MapReduce is a web service that makes it easy to quickly process vast amounts of data.

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