sparkMeasure VS Spark Tools

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

sparkMeasure

This is the development repository for sparkMeasure, a tool and library designed for efficient analysis and troubleshooting of Apache Spark jobs. It focuses on easing the collection and examination of Spark metrics, making it a practical choice for both developers and data engineers. (by LucaCanali)

Spark Tools

Executable Apache Spark Tools: Format Converter & SQL Processor (by tupol)
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sparkMeasure Spark Tools
1 -
642 11
- -
7.5 0.0
12 days ago 10 months ago
Scala Scala
Apache License 2.0 MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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sparkMeasure

Posts with mentions or reviews of sparkMeasure. We have used some of these posts to build our list of alternatives and similar projects.
  • Spark Write Metrics
    1 project | /r/dataengineering | 1 Jul 2021
    As an alternative to other proposed solutions, you could try and leverage the Spark metrics system to extract this information from accumulators. Metrics include total records and bytes written at each stage, among others. Take a look at SparkMeasure as well as an implementation example if you need to roll your own.

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.

What are some alternatives?

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

dblink - Distributed Bayesian Entity Resolution in Apache Spark

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

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

Scoozie - Scala DSL on top of Oozie XML

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

Apache Flink - Apache Flink

SynapseML - Simple and Distributed Machine Learning

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

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

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

Scalding - A Scala API for Cascading

Vegas - The missing MatPlotLib for Scala + Spark