Software Alternatives & Reviews

AWS Glue VS machine-learning in Python

Compare AWS Glue VS machine-learning in Python and see what are their differences

AWS Glue logo AWS Glue

Fully managed extract, transform, and load (ETL) service

machine-learning in Python logo machine-learning in Python

Do you want to do machine learning using Python, but you’re having trouble getting started? In this post, you will complete your first machine learning project using Python.
  • AWS Glue Landing page
    Landing page //
    2022-01-29
  • machine-learning in Python Landing page
    Landing page //
    2020-01-13

AWS Glue videos

Build ETL Processes for Data Lakes with AWS Glue - AWS Online Tech Talks

More videos:

  • Review - AWS re:Invent BDT 201: AWS Data Pipeline: A guided tour
  • Review - Getting Started with AWS Glue Data Catalog
  • Review - Bajaj Housing Finance Limited: Serverless Data Pipelines with AWS Glue and Amazon Aurora PGSQL

machine-learning in Python videos

No machine-learning in Python videos yet. You could help us improve this page by suggesting one.

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Category Popularity

0-100% (relative to AWS Glue and machine-learning in Python)
ETL
100 100%
0% 0
Data Science And Machine Learning
Data Integration
100 100%
0% 0
Data Dashboard
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare AWS Glue and machine-learning in Python

AWS Glue Reviews

10 Best ETL Tools (October 2023)
AWS Glue is an end-to-end ETL offering intended to make ETL workloads easier and more integratable with the larger AWS ecosystem. One of the more unique aspects of the tool is that it is serverless, meaning Amazon automatically provisions a server and shuts it down following the completion of the workload.
Source: www.unite.ai
Top 14 ETL Tools for 2023
Notably, AWS Glue is serverless, which means that Amazon automatically provisions a server for users and shuts it down when the workload is complete. AWS Glue also includes features such as job scheduling and “developer endpoints” for testing AWS Glue scripts, improving the tool’s ease of use.
A List of The 16 Best ETL Tools And Why To Choose Them
Better yet, when interacting with AWS Glue, practitioners can choose between a drag-and-down GUI, a Jupyter notebook, or Python/Scala code. AWS Glue also offers support for various data processing and workloads that meet different business needs, including ETL, ELT, batch, and streaming.
Top 10 AWS ETL Tools and How to Choose the Best One | Visual Flow
The AWS Glue Data Catalog contains table and job definitions, and other control information. It automatically generates statistics and registers partitions, so data queries can run more efficiently. The catalog also supports an extended history for schema versions, allowing you to see how data has changed over time.
Source: visual-flow.com
Top 5 AWS Glue Alternatives: Best ETL Tools
AWS Glue performs data processing functions like Data Extraction, Data Transformation, and Data Loading to organize enterprise data. This is helpful for organizations that manage large amounts of data. AWS Glue is specifically designed for companies that execute ETL jobs on a serverless platform based on Apache Spark.
Source: hevodata.com

machine-learning in Python Reviews

We have no reviews of machine-learning in Python yet.
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Social recommendations and mentions

Based on our record, AWS Glue should be more popular than machine-learning in Python. It has been mentiond 13 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

AWS Glue mentions (13)

  • Build Your Movie Recommendation System Using Amazon Personalize, MongoDB Atlas, and AWS Glue
    AWS Glue is a fully managed extract, transform, and load (ETL) service that makes it easy to prepare and load data for analysis. It helps bridge the gap between our MongoDB Atlas data and the services we'll use for recommendation. - Source: dev.to / about 2 months ago
  • Using Snowflake data hosted in GCP with AWS Glue
    AWS Glue is a fully managed extract, transform, and load (ETL) service provided by Amazon Web Services (AWS). It is designed to make it easy for users to prepare and load their data for analysis. AWS Glue simplifies the process of building and managing ETL workflows by providing a serverless environment for running ETL jobs. - Source: dev.to / 3 months ago
  • How to check for quality? Evaluate data with AWS Glue Data Quality
    It is serverless data integration service to allow you to easily scale your workloads in preparing data and moving transformed data into a target location. - Source: dev.to / 10 months ago
  • Deploying a Data Warehouse with Pulumi and Amazon Redshift
    So in the next post, we'll do that: We'll take what we've done here, add a few more components with Pulumi and AWS Glue, and wire it all up with a few magical lines of Python scripting. - Source: dev.to / over 1 year ago
  • Serverless Event Driven AI as a Service
    Once it's in a Data Lake then you have different options depending on the analytics you need. For more advanced constant analytics then you could look into Amazon Kinesis Data Analytics instead of Firehose to S3, but for Ad-Hoc queries then this is where Glue and Athena come in. - Source: dev.to / over 1 year ago
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machine-learning in Python mentions (7)

  • Data science and cybersecurity with python project
    After that you should probably look at some very basic ML tutorials. I just googled it, I have no idea if this is good https://machinelearningmastery.com/machine-learning-in-python-step-by-step/. Source: about 1 year ago
  • Ask HN: How can I learn ML in 6 months as a teenager?
    Few different approaches based on search engine 'ml with python': Work though use cases / examples : https://www.databricks.com/resources/ebook/big-book-of-machine-learning-use-cases On-line class(es) / step by step projects: * https://bootcamp-sl.discover.online.purdue.edu/ai-machine-learning-certification-course * https://www.w3schools.com/python/python_ml_getting_started.asp *... - Source: Hacker News / over 1 year ago
  • Are these CS courses enough CS knowledge for ML engineer?
    MLE: ALL OF THE ABOVE (this is important - pure machine learning skills generally won’t make you hireable unless you’re doing a PhD and/or are a genius) Plus: 1. https://machinelearningmastery.com/machine-learning-in-python-step-by-step/ 2. https://www.coursera.org/learn/machine-learning 3. https://www.3blue1brown.com/topics/neural-networks. Source: about 2 years ago
  • how to do i train an AI
    Have you seen this? https://machinelearningmastery.com/machine-learning-in-python-step-by-step/. Source: over 2 years ago
  • Python Data Science Project Ideas (+References)
    Machine learning models Fine-tune existing machine learning models for improved accuracy, or create your own custom models. - Source: dev.to / over 2 years ago
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What are some alternatives?

When comparing AWS Glue and machine-learning in Python, you can also consider the following products

Xplenty - Xplenty is the #1 SecurETL - allowing you to build low-code data pipelines on the most secure and flexible data transformation platform. No longer worry about manual data transformations. Start your free 14-day trial now.

Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.

AWS Database Migration Service - AWS Database Migration Service allows you to migrate to AWS quickly and securely. Learn more about the benefits and the key use cases.

BigML - BigML's goal is to create a machine learning service extremely easy to use and seamless to integrate.

Skyvia - Free cloud data platform for data integration, backup & management

Google Cloud TPU - Custom-built for machine learning workloads, Cloud TPUs accelerate training and inference at scale.