Software Alternatives & Reviews

Apache Oozie VS Google Cloud Dataproc

Compare Apache Oozie VS Google Cloud Dataproc and see what are their differences

Apache Oozie logo Apache Oozie

Apache Oozie Workflow Scheduler for Hadoop

Google Cloud Dataproc logo Google Cloud Dataproc

Managed Apache Spark and Apache Hadoop service which is fast, easy to use, and low cost
  • Apache Oozie Landing page
    Landing page //
    2021-07-25
  • Google Cloud Dataproc Landing page
    Landing page //
    2023-10-09

Apache Oozie videos

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

Google Cloud Dataproc videos

Dataproc

Category Popularity

0-100% (relative to Apache Oozie and Google Cloud Dataproc)
Workflow Automation
100 100%
0% 0
Data Dashboard
0 0%
100% 100
IT Automation
100 100%
0% 0
Big Data
0 0%
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 Google Cloud Dataproc

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

Google Cloud Dataproc Reviews

We have no reviews of Google Cloud Dataproc yet.
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Social recommendations and mentions

Based on our record, Google Cloud Dataproc should be more popular than Apache Oozie. It has been mentiond 3 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 Oozie mentions (1)

Google Cloud Dataproc mentions (3)

  • Connecting IPython notebook to spark master running in different machines
    I have also a spark cluster created with google cloud dataproc. Source: about 1 year ago
  • Why we don’t use Spark
    Specifically, we heavily rely on managed services from our cloud provider, Google Cloud Platform (GCP), for hosting our data in managed databases like BigTable and Spanner. For data transformations, we initially heavily relied on DataProc - a managed service from Google to manage a Spark cluster. - Source: dev.to / almost 2 years ago
  • Data processing issue
    With that, the best way to maximize processing and minimize time is to use Dataflow or Dataproc depending on your needs. These systems are highly parallel and clustered, which allows for much larger processing pipelines that execute quickly. Source: over 2 years ago

What are some alternatives?

When comparing Apache Oozie and Google Cloud Dataproc, 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.

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

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

Google BigQuery - A fully managed data warehouse for large-scale data analytics.

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.

HortonWorks Data Platform - The Hortonworks Data Platform is a 100% open source distribution of Apache Hadoop that is truly...