dblink VS SynapseML

Compare dblink vs SynapseML and see what are their differences.

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dblink SynapseML
1 18
54 4,970
- 0.2%
0.0 9.0
almost 3 years ago 5 days ago
Scala Scala
GNU General Public License v3.0 or later MIT License
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.

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.

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 dblink and SynapseML 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.

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

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

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

Tensorflow_scala - TensorFlow API for the Scala Programming Language

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.

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

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

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