Amazon

AWS Glue

Composite Score

8.6 /10

CX Score

9.0 /10

55 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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2024 Emotional Footprint Champion

Latest Award, 2024

Strategy and Innovation
Service Experience
Product Impact
Contract Negotiation
Conflict Resolution

Latest Award, 2024

2024 Data Quadrant Gold Medalist

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

1
Since last award

78 Satisfaction of Cost Relative to Value

2
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

5% Neutral

93% Positive

Pros

Continually Improving Product
Reliable
Effective Service
Caring

Feature Ratings

Average 79

Data Quality Profiling and Cleansing

Batch Integration

Metadata Management

Administrative Features

Data Security

Synchronization and Replication

Data Virtualization

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

Ease of IT Administration

Usability and Intuitiveness

Availability and Quality of Training

Breadth of Features

Product Strategy and Rate of Improvement

Ease of Customization

AWS Glue Reviews

Anand T.

Role: Consultant
Industry: Technology
Involvement: Initial Implementation

Validated Review

Verified Reviewer

Submitted Jan 2025

Fantastic Product

Likeliness to Recommend

10 /10

What differentiates AWS Glue from other similar products?

Unlike Apache Airflow or Databricks, Glue is fully managed and serverless, reducing the operational burden. Its native integration with the AWS ecosystem is unmatched, making it ideal for AWS-centric architectures. Glue's ability to auto-generate ETL code, coupled with machine learning features, provides a unique combination of automation and intelligence.

What is your favorite aspect of this product?

One of the standout features of AWS Glue is its serverless architecture. The fact that you don't need to manage or provision any infrastructure significantly simplifies the data integration process. Additionally, its seamless integration with the broader AWS ecosystem—like Amazon S3, Redshift, and Athena—makes building end-to-end data pipelines intuitive and cohesive. The built-in Data Catalog is another favorite, as it centralizes metadata management, enabling easy data discovery and governance.

What do you dislike most about this product?

One of the challenges with AWS Glue is the complexity of troubleshooting and debugging. While the service provides integration with CloudWatch for logs, debugging large-scale ETL jobs—especially those involving complex transformations—can be time-consuming and requires a deep understanding of Spark and Glue's internal processes

What recommendations would you give to someone considering this product?

Evaluate Your Data Processing Needs, Utilize the AWS Glue Data Catalog, Optimize Job Costs,Understand Glue Limitations, Test Performance Before Committing, Leverage Glue's Serverless Model, Start with Glue Studio for ETL Development, Prepare for Advanced Configuration Needs, Leverage Machine Learning Features

Pros

Helps Innovate
Continually Improving Product
Reliable
Performance Enhancing

Role: Sales Marketing
Industry: Media
Involvement: Business Leader or Manager

Validated Review

Anonymous Reviewer

Submitted Jan 2025

Great solution for our ML needs

Likeliness to Recommend

10 /10

Pros

Helps Innovate
Reliable
Performance Enhancing
Enables Productivity

Cons

Less Efficient Service

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

AWS Glue

What is AWS Glue?

Company Details

Need Assistance?

Awards & Recognition

2024 Emotional Footprint Champion

2024 Data Quadrant Gold Medalist

2023 Emotional Footprint Champion

AWS Glue Ratings

88 Likeliness to Recommend

98 Plan to Renew

1 Since last award

78 Satisfaction of Cost Relative to Value

2 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.

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

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

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.

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

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.

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.

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.

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 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

Anand T.

Fantastic Product

Likeliness to Recommend

Pros

Great solution for our ML needs

Likeliness to Recommend

Pros

Cons

Dhruv S.

Best ETL tool for Data Lake Management

Likeliness to Recommend

Pros

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Feature Ratings

Data Quality Profiling and Cleansing

Batch Integration

Metadata Management

Administrative Features

Data Security

Synchronization and Replication

Data Virtualization

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

Ease of IT Administration

Usability and Intuitiveness

Availability and Quality of Training

Breadth of Features

Product Strategy and Rate of Improvement

Ease of Customization