Spark Utils VS Scoozie

Compare Spark Utils vs Scoozie and see what are their differences.

Spark Utils

Basic framework utilities to quickly start writing production ready Apache Spark applications (by tupol)

Scoozie

Scala DSL on top of Oozie XML (by klout)
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Spark Utils Scoozie
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35 82
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3.8 0.0
13 days ago almost 9 years ago
Scala Scala
MIT License GNU General Public License v3.0 or later
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

Spark Utils

Posts with mentions or reviews of Spark Utils. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning Spark Utils yet.
Tracking mentions began in Dec 2020.

Scoozie

Posts with mentions or reviews of Scoozie. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning Scoozie yet.
Tracking mentions began in Dec 2020.

What are some alternatives?

When comparing Spark Utils and Scoozie you can also consider the following projects:

delight - A Spark UI and Spark History Server alternative with CPU and Memory metrics! Delight is free, cross-platform, and open-source.

Scrunch - Mirror of Apache Crunch (Incubating)

Scoobi - A Scala productivity framework for Hadoop.

Hail - Cloud-native genomic dataframes and batch computing

Jupyter Scala - A Scala kernel for Jupyter

Sparkta - Real Time Analytics and Data Pipelines based on Spark Streaming

Apache Spark - Apache Spark - A unified analytics engine for large-scale data processing

Sparkplug - Spark package to "plug" holes in data using SQL based rules ⚡️ 🔌

mmlspark - Simple and Distributed Machine Learning [Moved to: https://github.com/microsoft/SynapseML]

spark-deployer - Deploy Spark cluster in an easy way.