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Apache Oozie VS Apache Beam

Compare Apache Oozie VS Apache Beam and see what are their differences

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Apache Oozie logo Apache Oozie

Apache Oozie Workflow Scheduler for Hadoop

Apache Beam logo Apache Beam

Apache Beam provides an advanced unified programming model to implement batch and streaming data processing jobs.
  • Apache Oozie Landing page
    Landing page //
    2021-07-25
  • Apache Beam Landing page
    Landing page //
    2022-03-31

Apache Oozie videos

+ Add

Migrating Apache Oozie Workflows to Apache Airflow

More videos:

  • Review - Breathing New Life into Apache Oozie with Apache Ambari Workflow Manager
  • Review - Breathing New Life into Apache Oozie with Apache Ambari Workflow Manager

Apache Beam videos

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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 Apache Oozie and Apache Beam)

Apache Oozie

Apache Beam

Workflow Automation
100 100%
Workflow Automation
0% 0
Big Data
0 0%
Big Data
100% 100
IT Automation
100 100%
IT Automation
0% 0
Data Dashboard
0 0%
Data Dashboard
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 Oozie and Apache Beam

Apache Oozie Reviews

10 Best Airflow Alternatives for 2024
One of the workflow scheduler services/applications operating on the Hadoop cluster is Apache Oozie. It is used to handle Hadoop tasks such as Hive, Sqoop, SQL, MapReduce, and HDFS operations such as distcp. It is a system that manages the workflow of jobs that are reliant on each other. Users can design Directed Acyclic Graphs of processes here, which can be performed in...
Source: hevodata.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 a lot more popular than Apache Oozie. While we know about 14 links to Apache Beam, we've tracked only 1 mention of Apache Oozie. 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 Oozie mentions (1)

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 / 3 months ago
  • How do Streaming Aggregation Pipelines work?
    Apache Beam is one of many tools that you can use. Source: 5 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 / over 1 year 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: over 1 year ago
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What are some alternatives?

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

Control-M - Control‑M simplifies and automates diverse batch application workloads while reducing failure rates, improving SLAs, and accelerating application deployment.

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

ActiveBatch - Orchestrate the entire tech stack with ActiveBatch Workload Automation & Job Scheduling. Build and manage workflows from one place.

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

Stonebranch - Stonebranch builds IT orchestration and automation solutions that transform business IT environments from simple IT task automation into sophisticated, real-time business service automation.

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

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