Spark Tools VS Scalding

Compare Spark Tools vs Scalding and see what are their differences.

Spark Tools

Executable Apache Spark Tools: Format Converter & SQL Processor (by tupol)
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Spark Tools Scalding
- -
11 3,470
- 0.1%
0.0 2.5
9 months ago 11 months ago
Scala Scala
MIT License 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.

Spark Tools

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

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

Scalding

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

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

What are some alternatives?

When comparing Spark Tools and Scalding you can also consider the following projects:

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

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

Scoozie - Scala DSL on top of Oozie XML

Deeplearning4j - Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math code and a java based math library on top of the core c++ library. Also includes samediff: a pytorch/tensorflow like library for running deep learning using automatic differentiation.

Apache Flink - Apache Flink

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

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

Scrunch - Mirror of Apache Crunch (Incubating)

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

Vegas - The missing MatPlotLib for Scala + Spark