dblink VS sparkMeasure

Compare dblink vs sparkMeasure and see what are their differences.

dblink

Distributed Bayesian Entity Resolution in Apache Spark (by cleanzr)
entity-resolution apache-spark bayesian-inference record-linkage distributed-machine-learning Mcmc
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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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dblink sparkMeasure
1 1
54 642
- -
0.0 7.5
almost 3 years ago 4 days ago
Scala Scala
GNU General Public License v3.0 or later Apache License 2.0
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dblink

Posts with mentions or reviews of dblink. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-03-10.
  • [D] Machine Learning and "Record Linkage"
    2 projects | /r/statistics | 10 Mar 2021
    Felligi-Sunter is the baseline model in record linkage research. It is implemented in R in fastLink and RecordLinkage, but you will need training data. There are some other options, e.g. dblink, that use Bayesian methods and a latent variable set up so you don’t need training data.

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.

What are some alternatives?

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

entity-embed - PyTorch library for transforming entities like companies, products, etc. into vectors to support scalable Record Linkage / Entity Resolution using Approximate Nearest Neighbors.

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

splink - Fast, accurate and scalable probabilistic data linkage with support for multiple SQL backends

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

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

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

SynapseML - Simple and Distributed Machine Learning

dblink vs entity-embed sparkMeasure vs delight dblink vs splink sparkMeasure vs Apache Spark dblink vs mmlspark sparkMeasure vs Spark Tools dblink vs delight sparkMeasure vs SynapseML sparkMeasure vs mmlspark