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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)
Companies can't remove reviews or game the system. Here's why
October 23, 2023

Software developer

Ashutosh Mishra | TrustRadius Reviewer
Score 7 out of 10
Vetted Review
Verified User
The main concern in AWS Glue is to so much costing of Glue jobs and I was worked with 5000 dataset I was facing some performance issue as compare to cost they need to work on performance aand also reduced our time utilisation to save time using this method. AWS Glue integrates with services like Amazon Redshift, Amazon Athena, and Amazon QuickSight, enabling organizations to analyze data with their preferred analytics tools.
July 25, 2023

AWS Glue ETL tool

Score 8 out of 10
Vetted Review
Verified User
Incentivized
We use AWS Glue to creat Etl pipelines for transforming and moving of data from different data sources like S3, snowflakes, postgres to Redshift and vice versa. Execution of spark jobs is really easy as it has auto generated code which establishes connections with source and target data bases securedly and helps in the cleansing of data like deduplication and performing validations on data. As it is Serverless it will automatically scale up and scale down the memory resources required to run the spark glue job.
Score 8 out of 10
Vetted Review
Verified User
Incentivized
1) In my current use case we mainly use AWS Glue for Extract Transform Load to process batch data on daily basis. 2) the main problem we can able to solve or we can say the solution which Glue provides that is, it can easily integrate with other AWS services like S3, RDS, Athena 3) pricing model is also very like pay-as-you-go 4) the main business problem which glue solve we can ingest the data ewe can perform ETL on top that and can create spark or python shell jobs
Score 9 out of 10
Vetted Review
Verified User
Incentivized
We heavily rely on AWS Glue for cataloging our data objects (tables and views). We use AWS Glue as our Data Catalog and use it in our data pipelines to sync external and internal data sources. We also utilize AWS Glue to auto-generate SQL-based ETL based on AWS Glue catalog objects.
Score 9 out of 10
Vetted Review
Verified User
Incentivized
The automation of numerous tasks, including logging, alerting, monitoring, etc., is made possible by AWS Glue. Additionally, it is economical because you only pay for the resources you actually use. One of AWS Glue's most notable features that are helpful is that it aids in the generation and transformation of data in its data catalog.
Apurv Doshi | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
Incentivized
We use AWS Glue for ETL of the healthcare data. The input data come from different source systems and so with different formats. With help of the AWS Glue jobs, we translate the data into a common format. With help of python scripts and the scheduled job feature, the data is fetched in a periodic manner, processed with help of the python script, converted to the parquet format, and stored in the S3 bucket. The glue catalog generates the schema of the stored data and allows AWS Athena to query the same for analytics purposes.
Score 9 out of 10
Vetted Review
Verified User
Incentivized
One of the straightforward and quick cloud-based ETL tools is AWS Glue. It comes under the umbrella of AWS services. We use AWS Glue to analyze an extensive data set of USA based clinics and hospitals. Its HIPAA compliance for sensitive data. It comes with the support of python script, Schedular, and works very well with other AWS services like s3, rds.
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