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AWS Glue

Extract, Transform, and Load (ETL) solution

Table of Contents

AWS Glue - 2026 Pricing, Features, Reviews & Alternatives

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AWS Glue overview

What is AWS Glue?

AWS Glue is an ETL software that helps businesses manage data preparation, discovery, transformation, replication, cleaning, and other processes from within a unified platform. It allows staff members to utilize the built-in data catalog to store and find data assets, such as table definitions, schemas, job definitions, and control information.

AWS Glue enables team members to utilize a drag-and-drop interface to transform data visually, build ETL pipelines, filter bad data, specify job dependencies, and more. With machine learning technology, employees can handle deduplication, cleanse data, manage debugging, and handle other data preparation processes. The DataBrew tool enables data analysts and scientists to manage visual data preparation operations by automatic anomaly filtering, data conversion, and more

AWS Glue offers an API, which allows businesses to integrate the platform with several third-party solutions.

Starting price

Alternatives

with better value for money

AWS Glue’s user interface

Ease of use rating:

4.1

(10)

AWS Glue reviews

Overall rating

4.1

Positive reviews

Rating breakdown

Value for money
Ease of use
Features
Customer support
Likelihood to recommend7.4/10

Rating distribution

Pros

“Not my favorite ETL tool, but it's great for small jobs.”

Laura R.

Database Engineer

“It seems like it's meant for first time ETL engineers. There is enough documentation to learn it on your own, and the costs isn't so bad.”

Laura R.

Database Engineer

“It has got an inbuilt spark code editor where you can write your own customized code.”

Haniel L.

Software Development Engineer II

Cons

“Rates of data consumption for AWS Glue cannot be easily managed, which leads to data loss and corruption. Also, it can only process data in batches but not real time data.”

Anis B.

Software Developer

“In fact, you'll end up scratching your head many times as you try and work out why things aren't working. You need to really look at it hard and implement logging if you're going to work it out.”

David W.

Head of Engineering

“However, frustratingly, only a small amount of its power is available within the GUI. For instance, you can do parquet file formats in the GUI and need to use JSON or the CLI.”

David W.

Head of Engineering