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AWS Glue

AWS Glue

Overview

What is AWS Glue?

AWS Glue is a managed extract, transform, and load (ETL) service designed to make it easy for customers to prepare and load data for analytics. With it, users can create and run an ETL job in the AWS Management Console.…

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Recent Reviews

AWS Glue ETL tool

8 out of 10
July 25, 2023
Incentivized
We use AWS Glue to creat Etl pipelines for transforming and moving of data from different data sources like S3, snowflakes, postgres to …
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Reviewer Pros & Cons

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Pricing

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per DPU-Hour

$0.44

Cloud
billed per second, 1 minute minimum

Entry-level set up fee?

  • No setup fee

Offerings

  • Free Trial
  • Free/Freemium Version
  • Premium Consulting/Integration Services
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Product Details

What is AWS Glue?

AWS Glue Technical Details

Deployment TypesSoftware as a Service (SaaS), Cloud, or Web-Based
Operating SystemsUnspecified
Mobile ApplicationNo
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Comparisons

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Reviews and Ratings

(31)

Attribute Ratings

Reviews

(1-7 of 7)
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July 25, 2023

AWS Glue ETL tool

Score 8 out of 10
Vetted Review
Verified User
Incentivized
  • Execution of spark jobs
  • Scaling of memory resources
  • Crawling the schemas
  • Incremental data sync
  • Real time data triggers
  • Grouping of small files
Score 8 out of 10
Vetted Review
Verified User
Incentivized
  • Extract , transform , Load
  • AWS Data catalog
  • triggers
  • we can create workflows
  • In-Stream schema registries feature people can not use this more efficiently
  • in Connections feature they can add more connectors as well
  • The crucial problem with AWS Glue is that it only works with AWS.
Score 9 out of 10
Vetted Review
Verified User
Incentivized
  • Create schemes, tables and views (data catalog).
  • Sync external and internal data sources.
  • Auto-generate SQL-based data pipelines, based on AWS Glue catalog objects.
  • It is very difficult (almost impossible) to scale
  • We sometimes get throttled by service limitations.
  • AWS Glue crawlers sometimes mismatch the data in the files
Score 9 out of 10
Vetted Review
Verified User
Incentivized
  • Helps in data creation and transformations.
  • Automation of the data schema recognition.
  • Support and scheduling of the data schema.
  • Integration with systems outside of the AWS environment.
  • Glue runs on spark so the engineer should be aware of the language.
Apurv Doshi | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
Incentivized
  • It is extremely fast, easy, and self-intuitive. Though it is a suite of services, it requires pretty less time to get control over it.
  • As it is a managed service, one need not take care of a lot of underlying details. The identification of data schema, code generation, customization, and orchestration of the different job components allows the developers to focus on the core business problem without worrying about infrastructure issues.
  • It is a pay-as-you-go service. So, there is no need to provide any capacity in advance. So, it makes scheduling much easier.
  • The sample code should cover more scenarios. They are quite basic. However, you can find good pointers from the internet and AWS community and tickets.
  • AWS Glue runs on Apache Spark. So, to take the best of the AWS Glue service, the developer should have a good idea of Apache Spark.
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