sparkMeasure VS SynapseML

Compare sparkMeasure vs SynapseML 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 apache-spark performance-troubleshooting performance-metrics Python Scala
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SynapseML

Simple and Distributed Machine Learning (by microsoft)
Spark Pyspark Azure Scala Microsoft ML Machine Learning Databricks cognitive-services Lightgbm HTTP model-deployment Deep Learning AI apache-spark Data Science Synapse Big Data Onnx OpenCV
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sparkMeasure SynapseML
1 18
642 4,973
- 0.3%
7.5 9.0
12 days ago 5 days ago
Scala Scala
Apache License 2.0 MIT License
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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.

SynapseML

Posts with mentions or reviews of SynapseML. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-09-12.

What are some alternatives?

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

dblink - Distributed Bayesian Entity Resolution in Apache Spark

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

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

isolation-forest - A Spark/Scala implementation of the isolation forest unsupervised outlier detection algorithm.

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

Tensorflow_scala - TensorFlow API for the Scala Programming Language

Spark Tools - Executable Apache Spark Tools: Format Converter & SQL Processor

deequ - Deequ is a library built on top of Apache Spark for defining "unit tests for data", which measure data quality in large datasets.

Breeze - Breeze is a numerical processing library for Scala.

azure-kusto-spark - Apache Spark Connector for Azure Kusto

cobrix - A COBOL parser and Mainframe/EBCDIC data source for Apache Spark

sparkMeasure vs dblink SynapseML vs mmlspark sparkMeasure vs delight SynapseML vs isolation-forest sparkMeasure vs Apache Spark SynapseML vs Tensorflow_scala sparkMeasure vs Spark Tools SynapseML vs deequ sparkMeasure vs mmlspark SynapseML vs Breeze SynapseML vs azure-kusto-spark SynapseML vs cobrix