Amazon

AWS Glue

Composite Score

8.7 /10

CX Score

9.0 /10

59 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.

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

Product Experience

Negotiation and Contract

Conflict Resolution

Strategy & Innovation

Service Experience

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Emotional Footprint Overview

Product Experience:: 96%
Negotiation and Contract:: 92%
Conflict Resolution:: 95%
Strategy & Innovation:: 94%
Service Experience:: 97%

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?

1% Negative

5% 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

Quality of Features

Vendor Support

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

Evans F.

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

Validated Review

Verified Reviewer

Submitted Feb 2025

Powerful integration tool

Likeliness to Recommend

10 /10

What differentiates AWS Glue from other similar products?

Fully Managed Service: AWS Glue is a fully managed ETL service, requiring minimal setup and infrastructure management compared to other tools, which makes it ideal for users looking to avoid complex configurations. Serverless Architecture: It automatically scales based on your data processing needs, meaning you don’t have to manage servers or worry about provisioning resources, offering high flexibility and cost efficiency. Tight Integration with AWS Ecosystem: AWS Glue integrates seamlessly with other AWS services like S3, Redshift, and Athena, providing a unified data processing and analytics solution within the AWS cloud.

What is your favorite aspect of this product?

My favorite aspect of AWS Glue is its serverless architecture, which eliminates the need for manual resource management, allowing you to focus on data processing without worrying about scaling or infrastructure.

What do you dislike most about this product?

What I dislike most about AWS Glue is its complexity in setup and configuration, especially for users who are new to the AWS ecosystem or ETL processes, which can make the learning curve steep.

What recommendations would you give to someone considering this product?

Familiarize yourself with AWS services to take full advantage of Glue’s integration with other AWS tools. Start with simple ETL jobs to get comfortable with the platform before scaling up. Utilize AWS documentation and support to help navigate the setup process and troubleshoot effectively.

Pros

Performance Enhancing
Enables Productivity
Trustworthy
Unique Features

Dhruv S.

Role: Industry Specific Role
Industry: Electronics
Involvement: Business Leader or Manager

Validated Review

Verified Reviewer

Submitted Oct 2024

Best ETL tool for Data Lake Management

Likeliness to Recommend

10 /10

What differentiates AWS Glue from other similar products?

Since it is within the AWS ecosystem, it becomes very easy to connect to other AWS systems like S3, Redshift, and Snowflake. Data crawling from S3 buckets is real-time making the database up to date and reflecting the changes done in SAP, Infor which are integrated into Data Lake through Glue. Current alternates in the market like Talend are not very robust, it is very difficult to troubleshoot complex workflows, and you need skilled manpower, Glue is built in Apache Spark which is pretty common and it's easy to develop.

What is your favorite aspect of this product?

It is a superhouse of solutions with data crawling, database management, and data cataloging it is a one-stop solution for any Data Lake Management and also makes the creation of a Data Table easy. with Python scripts It has a multi-method approach so within the system, it allows ELT or batch processing. You can also put sequential scheduling for the jobs so it can be fully automated and can run multiple jobs without an intervention.

What do you dislike most about this product?

It's not a dislike but more like the ETL is limited to Python or Scala so an advanced Python engineer is required

What recommendations would you give to someone considering this product?

If you have tables in Redshift & Snowflake must try option is Glue and since its use based costing so you can control how much you spend. Look for advanced Python scripters for creating jobs.

Pros

Helps Innovate
Continually Improving Product
Reliable
Performance Enhancing

Abhishek M.

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

Validated Review

Verified Reviewer

Submitted Aug 2024

serverless and cost friendly

Likeliness to Recommend

6 /10

What differentiates AWS Glue from other similar products?

spark support, logs in S3 and CloudWatch, IAM integration, serverless

What is your favorite aspect of this product?

serverless, glue 4.0 faster and easy to use

What do you dislike most about this product?

switching from other version is not easy, when updating CFT - parameters goes away

What recommendations would you give to someone considering this product?

quick integration, secure and fast

Pros

Effective Service
Respectful
Helps Innovate
Continually Improving Product

AWS Glue

What is AWS Glue?

Company Details

Need Assistance?

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

Emotional Footprint Overview

+94 Net Emotional Footprint

How much do users love AWS Glue?

Chart

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.

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.

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.

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

Evans F.

Powerful integration tool

Likeliness to Recommend

Pros

Dhruv S.

Best ETL tool for Data Lake Management

Likeliness to Recommend

Pros

Abhishek M.

serverless and cost friendly

Likeliness to Recommend

Pros

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Altova MapForce

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

Quality of Features

Vendor Support

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