Scoozie VS Sparkta

Compare Scoozie vs Sparkta and see what are their differences.

Scoozie

Scala DSL on top of Oozie XML (by klout)

Sparkta

Real Time Analytics and Data Pipelines based on Spark Streaming (by Stratio)
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Scoozie Sparkta
0 0
81 523
- 0.6%
0.0 0.0
about 7 years ago over 2 years ago
Scala Scala
GNU General Public License v3.0 or later Apache License 2.0
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.

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.

Sparkta

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

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

What are some alternatives?

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

GridScale - Scala library for accessing various file, batch systems, job schedulers and grid middlewares.

Apache Kafka - Mirror of Apache Kafka

Hail - Scalable genomic data analysis.

metorikku - A simplified, lightweight ETL Framework based on Apache Spark

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

Jupyter Scala - A Scala kernel for Jupyter

Apache Flink - Apache Flink

Scio - A Scala API for Apache Beam and Google Cloud Dataflow.

Scoobi - A Scala productivity framework for Hadoop.

Scrunch - Mirror of Apache Crunch (Incubating)

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