AWS Glue Customer Reviews 2025

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AWS Glue

Composite Score

8.7 /10

CX Score

9.0 /10

58 Reviews

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.

Company Details

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Awards & Recognition

AWS Glue won the following awards in the Data Integration category

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2025 Data Quadrant Champion

Latest Award, 2025

1 Top Rated Capabilities

0 Top Rated Features

Latest Award, 2025

2024 Emotional Footprint Champion

2024

Strategy and Innovation
Service Experience
Product Impact
Contract Negotiation
Conflict Resolution

2024

2024 Data Quadrant Champion

2024

1 Top Rated Capabilities

0 Top Rated Features

2024

2023 Emotional Footprint Champion

2023

Strategy and Innovation
Service Experience
Product Impact
Contract Negotiation
Conflict Resolution

2023

AWS Glue Ratings

Real user data aggregated to summarize the product performance and customer experience.
Download the entire Product Scorecard to access more information on AWS Glue.

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.

88 Likeliness to Recommend

98 Plan to Renew

79 Satisfaction of Cost Relative to Value

1
Since last award

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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.

+94 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?

2% Negative

4% Neutral

94% Positive

Pros

Continually Improving Product
Reliable
Effective Service
Caring

Feature Ratings

Average 80

Data Quality Profiling and Cleansing

Batch Integration

Metadata Management

Administrative Features

Data Security

Data Virtualization

Synchronization and Replication

Multi Channel Support

Exception Handling and Notifications

Real Time Integration

API Management and Orchestration

Vendor Capability Ratings

Average 80

Ease of Implementation

Vendor Support

Quality of Features

Ease of Data Integration

Business Value Created

Usability and Intuitiveness

Ease of IT Administration

Availability and Quality of Training

Product Strategy and Rate of Improvement

Breadth of Features

Ease of Customization

AWS Glue Reviews

Carlos Orlando C.

Role: Information Technology
Industry: Finance
Involvement: IT Leader or Manager

Validated Review

Verified Reviewer

Submitted Dec 2023

Great integration and cheap

Likeliness to Recommend

8 /10

What differentiates AWS Glue from other similar products?

The effortless integration in the AWS environment

What is your favorite aspect of this product?

How it works with other services like athena

What do you dislike most about this product?

How hard it is to use the console interface

What recommendations would you give to someone considering this product?

Make sure to understand how it integrates with the rest of aws services

Pros

Helps Innovate
Reliable
Enables Productivity
Effective Service

RAHUL G.

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

Validated Review

Verified Reviewer

Submitted Nov 2023

Amazing ETL platform for data integration.

Likeliness to Recommend

9 /10

What differentiates AWS Glue from other similar products?

AWS Glue is cloud based and unlike informatica it has all the feature of ETL processes in a single platform.

What is your favorite aspect of this product?

We can moniter the workflow and with the info of total rows & columns and total size used in the same platform.

What do you dislike most about this product?

Cost is expensive for the premium version which has all the ETL features.

What recommendations would you give to someone considering this product?

If you are dealing with big data arriving from multiple number of data sources then integration of that data can be challenging but AWS Glue makes it easy.

Neha R.

Role: Information Technology
Industry: Technology
Involvement: Initial Implementation

Validated Review

Verified Reviewer

Submitted Jul 2023

Simplifies data discovery and transformation

Likeliness to Recommend

8 /10

What differentiates AWS Glue from other similar products?

It simplifies the ETL process by automating the discovery, cataloging, and transformation of data, making it easy for users to prepare and load their data for analytics. With Glue, users can focus on data transformation and analysis while leaving the infrastructure management to AWS

What is your favorite aspect of this product?

Data transformation

What do you dislike most about this product?

Orchestration

What recommendations would you give to someone considering this product?

Data security Cost optimisation

Pros

Helps Innovate
Continually Improving Product
Reliable
Performance Enhancing

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AWS Glue

What is AWS Glue?

Company Details

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Awards & Recognition

2025 Data Quadrant Champion

2024 Emotional Footprint Champion

2024 Data Quadrant Champion

2023 Emotional Footprint Champion

AWS Glue Ratings

88 Likeliness to Recommend

98 Plan to Renew

79 Satisfaction of Cost Relative to Value

1 Since last award

Emotional Footprint Overview

+94 Net Emotional Footprint

How much do users love AWS Glue?

Pros

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

Data Quality Profiling and Cleansing Includes data cleansing, reconciliation, and profiling across multiple sources in batch mode.

Batch Integration Includes ability to schedule integration processes to run on a periodic basis to control the movement of data from a source to target.

Metadata Management A metadata layer makes reporting easy and eliminates the need for coding and SQL, allowing users to see and access information in simple business language.

Administrative Features Includes basic aspects of data extraction, transformation, and loading. Administrative console and process viewing, interruption, restart, cancel, and rollback.

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

Data Virtualization Includes ability to create views joining disparate data sources without the need for persistence.

Synchronization and Replication Includes the ability to accurately catch, reflect, and correct changes in data across multiple data stores.

Multi Channel Support The ability to support and connect with channels including Cloud Services, Big Data Platforms, web, mobile, social, IoT, wearables, etc.

Exception Handling and Notifications Ability to catch, report, and handle exceptions; includes transaction logging and event viewing.

Real Time Integration Able to integrate data in near-real time and handle movement of data from a source to target. Monitoring for changes in a data source in a non-invasive manner.

API Management and Orchestration Includes publishing, promoting and overseeing APIs and Orchestration Services.

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

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.

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.

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

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.

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.

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.

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.

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.

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.

AWS Glue Reviews

Carlos Orlando C.

Great integration and cheap

Likeliness to Recommend

Pros

RAHUL G.

Amazing ETL platform for data integration.

Likeliness to Recommend

Neha R.

Simplifies data discovery and transformation

Likeliness to Recommend

Pros

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Title

1
Since last award

Feature Ratings

Data Quality Profiling and Cleansing

Batch Integration

Metadata Management

Administrative Features

Data Security

Data Virtualization

Synchronization and Replication

Multi Channel Support

Exception Handling and Notifications

Real Time Integration

API Management and Orchestration

Vendor Capability Ratings

Ease of Implementation

Vendor Support

Quality of Features

Ease of Data Integration

Business Value Created

Usability and Intuitiveness

Ease of IT Administration

Availability and Quality of Training

Product Strategy and Rate of Improvement

Breadth of Features

Ease of Customization