Amazon

AWS Glue

Composite Score

7.1 /10

CX Score

7.7 /10

5 Reviews Write a Review

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What is AWS Glue?

AWS Glue is a serverless data integration service that makes data preparation simpler, faster, and cheaper. You can discover and connect to over 70 diverse data sources, manage your data in a centralized data catalog, and visually create, run, and monitor ETL pipelines to load data into your data lakes. AWS Glue is a fully managed extract, transform, and load (ETL) service that makes it easy for customers to prepare and load their data for analytics.

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AWS Glue Ratings

Real user data aggregated to summarize the product performance and customer experience.

Product scores listed below represent current data. This may be different from data contained in reports and awards, which express data as of their publication date.

82 Likeliness to Recommend

100 Plan to Renew

75 Satisfaction of Cost Relative to Value

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Emotional Footprint Overview

Product scores listed below represent current data. This may be different from data contained in reports and awards, which express data as of their publication date.

+90 Net Emotional Footprint

The emotional sentiment held by end users of the software based on their experience with the vendor. Responses are captured on an eight-point scale.

How much do users love AWS Glue?

0% Negative

0% Neutral

100% Positive

Pros

Helps Innovate
Continually Improving Product
Reliable
Performance Enhancing

Cons

Vendor's Interest First
Less Generous
Under Delivered

Feature Ratings

Average 76

Data Cleansing

Data Labeling

Data Profiling

Data Pre-Processing

Data Access

Data Mining

Data Preparation Workflow

Cataloging

Data Connectors and Data Mashup

Data Security & Masking

Intelligent Alerts and Notifications

Vendor Capability Ratings

Average 72

Ease of Data Integration

Ease of Implementation

Vendor Support

Usability and Intuitiveness

Quality of Features

Breadth of Features

Business Value Created

Ease of Customization

Product Strategy and Rate of Improvement

Ease of IT Administration

Availability and Quality of Training

Also Featured in...

Data Integration

Score 8.7

View AWS Glue in this category (opens in a new tab)

AWS Glue Reviews

Milan S.

Role: Information Technology
Industry: Retail
Involvement: IT Development, Integration, and Administration

Validated Review

Verified Reviewer

Submitted Jul 2026

Reliable & Scalable ETL Solution for AWS Workloads

Likeliness to Recommend

10 /10

What differentiates AWS Glue from other similar products?

I maintain more than 100 data pipelines that collect data from different sources like Shopify, Unicommerece etc. My team depends on these pipelines for analytics and reporting. AWS glue has helped us build and manage ETL jobs without worrying about infrastructure. It integrates well with other AWS Services like Athena, S3 Buckets, scales with our workloads, and reduces the effort needed to keep our data pipelines running.

What is your favorite aspect of this product?

It is serverless, integrates with S3 and Redshift, easy to schedule jobs, handles 100+ pieplines easily, and easy to monitor.

What do you dislike most about this product?

Sometimes debugging can be difficult, sparks job startup time, and sometimes costs can add up, also with 100+ pipelines , logs become hard to interpret.

What recommendations would you give to someone considering this product?

Its one of the best Cloud service provider that I have used, I have been using AWS and its services for over 5 years now, for anyone considering this product, if you are already AWS users then its great, you can easily get started, just a few points to keep in mind when using this product is learn IAM and Spark basics perfectly, and always monitor costs, set alerts and use Data Catalog religiously.

Pros

Helps Innovate
Continually Improving Product
Reliable
Performance Enhancing

Sujith C.

Role: Operations
Industry: Finance
Involvement: IT Development, Integration, and Administration

Validated Review

Verified Reviewer

Submitted Jul 2026

Painless data pipeline using serverless power.

Likeliness to Recommend

8 /10

What differentiates AWS Glue from other similar products?

AWS glue is a serverless service. It is as simple as writing a Python script and running it, while AWS handles the capacity scaling, and the infrastructure part. It let's us focus on solving the domain specific challenge and don't bother much about infra provisioning. Being an AWS service, it integrates nicely with other AWS services like step functions, S3 etc. to give seamless experience. Being a pay per use service, it is easy to experiment and do PoCs without costing much.

What is your favorite aspect of this product?

Pay per use and serverless nature. Managing infrastructure is often a challenging as well as time and cost consuming aspect of data processing. AWS glue manages the compute capacity while offering flexibility in terms of compute power. You don't have to set up an entire infrastructure and clean it up later in case you need to do trials.

What do you dislike most about this product?

It's worker auto scaling sometimes behaves in unpredictable manner. It's single script nature often cause issues when we try to develop scripts in a modular fashion. Adding additional libraries and extra imports are bit inefficient (but there are options for it, referencing zip, whl or even plain script files in S3)

What recommendations would you give to someone considering this product?

If your data primarily resides in AWS, the Glue is a very good candidate for building data pipelines. For production level complex use cases, try to avoid visual glue jobs. Visual gle job is a pain to replicate, debug and troubleshoot. Default configurations are a bit generous ( and hence costly). So adjust worker type, count and job timeouts to prevent accidental cost spikes.

Pros

Trustworthy
Respectful
Security Protects
Helps Innovate

Cons

Vendor's Interest First
Less Generous
Under Delivered

Pradip G.

Role: Consultant
Industry: Banking
Involvement: IT Leader or Manager

Validated Review

Verified Reviewer

Submitted Jul 2026

AWS GLUE: One stop solution for your all ETL work.

Likeliness to Recommend

8 /10

What differentiates AWS Glue from other similar products?

As per my knowledge and experience I think AWS glue integration with other AWS services like AWS Athena, quicksight, cloud watch, cloud trail etc that really help to wisely uses of this AWS glue ETL service suites and my favorite is we can write ad-hoc ETL job for our requirements.

What is your favorite aspect of this product?

My personal favorite aspect ot AWS GLUE is that it Will provide almost all required services of ETL in one place to access quickly.

What do you dislike most about this product?

I dislike about this AWS GLUE is that cost of glue crawler rerun is so high and when we rerun default it will crawl all / everything even we have small addition or deletion of data.

What recommendations would you give to someone considering this product?

If you want all in one ETL product suites then AWS glue has that capabilities to accomplish it.

Pros

Helps Innovate
Unique Features
Saves Time
Altruistic

AWS Glue

What is AWS Glue?

Company Details

Need Assistance?

AWS Glue Ratings

82 Likeliness to Recommend

100 Plan to Renew

75 Satisfaction of Cost Relative to Value

Emotional Footprint Overview

+90 Net Emotional Footprint

How much do users love AWS Glue?

Pros

Cons

Feature Ratings Average rating of all product features, some of which may not be shown below

Data Cleansing Includes data auditing, workflow specification, post-processing, and controlling, such as address standardization and the correction of known invalid values.

Data Labeling Ability to annotate/label data to create a training data set.

Data Profiling Includes statistical analysis of data values to evaluate the frequency, distribution and completeness of data.

Data Pre-Processing Ability to wrangle or pre-process data to ready it for model training.

Data Access Ability to access data from various sources on-prem and in the cloud and of various type: structured, unstructured, and semi-structured, real-time, etc.

Data Mining Explorative automated analysis of data to discover patterns and trends

Data Preparation Workflow Visual, repeatable pipelines to clean, transform, join, and enrich data from multiple sources, preparing trusted datasets for analysis and reporting.

Cataloging Interactive graphical exploratory data analysis through immersive interfaces.

Data Connectors and Data Mashup Connect to, merge and clean data from multiple diverse data sources.

Data Security & Masking Includes ability to hide sensitive data by masking with special characters or anonymous information.

Intelligent Alerts and Notifications Ability to create, manage, send and receive notifications, enhancing efficiency and productivity.

Vendor Capability Ratings Average rating of all vendor capabilities, some of which may not be shown below

Ease of Data Integration Use this data to determine whether the product will cause headaches or make data integration easy.

Ease of Implementation Successfully implementing new software is necessary to realize its full value and promote end user adoption. This data indicates whether or not the product is easy to implement.

Vendor Support The importance of vendor support will vary for each organization depending on internal capabilities, but there will always be issues that only the vendor can resolve.

Usability and Intuitiveness End user learning curves cost the organization money. Pay attention to your end users' technical ability to determine how important UX is in your purchase.

Quality of Features Feature quality is just as important as quantity. Use this data to determine if this product will do what you're purchasing it to do, easily, intuitively, reliably, and effectively.

Breadth of Features Users prefer feature rich software that enables them to perform diverse series of tasks. This data expresses user satisfaction with the product's breadth of features.

Business Value Created Software needs to create value for employees, customers, partners, and, ultimately, shareholders. This data expresses user satisfaction - or lack thereof - with the product's business value.

Ease of Customization Don't get bogged down in a difficult customization; use this data to make sure you can easily achieve the functionality you need for your particular situation.

Product Strategy and Rate of Improvement Vendors who don't stay on top of emerging needs and trends won't enable you to meet your business goals. Use this data to separate innovators from imposters.

Ease of IT Administration This data indicates whether IT personnel will be able to resolve issues and perform configurations efficiently and effectively.

Availability and Quality of Training Effective and readily available training enables users to get the most out of the software you've chosen. Use this section to make sure your vendor's training programs and materials measure up.

Also Featured in...

Data Integration

AWS Glue Reviews

Milan S.

Reliable & Scalable ETL Solution for AWS Workloads

Likeliness to Recommend

Pros

Sujith C.

Painless data pipeline using serverless power.

Likeliness to Recommend

Pros

Cons

Pradip G.

AWS GLUE: One stop solution for your all ETL work.

Likeliness to Recommend

Pros

Feature Ratings

Data Cleansing

Data Labeling

Data Profiling

Data Pre-Processing

Data Access

Data Mining

Data Preparation Workflow

Cataloging

Data Connectors and Data Mashup

Data Security & Masking

Intelligent Alerts and Notifications

Vendor Capability Ratings

Ease of Data Integration

Ease of Implementation

Vendor Support

Usability and Intuitiveness

Quality of Features

Breadth of Features

Business Value Created

Ease of Customization

Product Strategy and Rate of Improvement

Ease of IT Administration

Availability and Quality of Training