AWS Glue Reviews

Name: AWS Glue
Brand: Amazon Web Services (AWS)
Rating: 3.9 (50 reviews)

3.9 out of 5

50 reviews
90% willing to recommend

What is AWS Glue?

AWS Glue is a serverless cloud data integration tool that facilitates the discovery, preparation, movement, and integration of data from multiple sources for machine learning (ML), analytics, and application development. The solution includes additional productivity and data ops tooling for running jobs, implementing business workflows, and authoring.

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AWS Glue is the #1 ranked solution in top Cloud Data Integration solutions. PeerSpot users give AWS Glue an average rating of 7.8 out of 10. AWS Glue is most commonly compared to Informatica Intelligent Data Management Cloud (IDMC): AWS Glue vs Informatica Intelligent Data Management Cloud (IDMC). AWS Glue is popular among the large enterprise segment, accounting for 69% of users researching this solution on PeerSpot. The top industry researching this solution are professionals from a financial services firm, accounting for 21% of all views.

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Featured AWS Glue reviews

Saurabh Jaiswal

Python AWS & AI Expert at a tech consulting company

AWS Glue's most valuable features include its transformation capabilities, which provide data quality and shape for processing in ML or AI models. It offers transformation options on canvas or through ETL pipelines, notebooks, and code. Additionally, it supports data preparation, cleaning, and filtering seamlessly. AWS Glue also enhances job scheduling and orchestration capabilities, integrating with AWS Glue Studio for comprehensive data workflow management.

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Suraj-Sachdeva

Senior Developer for cloud services at Coforge Growth Agency

One aspect that I would like to highlight is the Glue Crawler, which we utilize when working with large datasets to ensure the schema updates seamlessly without requiring end-team knowledge. Additionally, the pipeline orchestration and scheduling of ETL pipelines in AWS Glue are also highly effective. AWS Glue supports AI-driven projects and DAG transformations by facilitating efficient data handling required for machine learning workflows.

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Nitish Kumar Mahatha

Site Reliability Engineer (AWS) at KFin Technologies Ltd

We use AWS Glue for handling data-intensive tasks such as data lake creation, log analysis, machine learning pipelines, data warehouse population for analytics, and real-time data integration with AWS Lambda AWS Glue has increased efficiency and time saving. It simplifies and automates data…

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AWS Glue mindshare

As of August 2025, the mindshare of AWS Glue in the Cloud Data Integration category stands at 17.2%, down from 21.6% compared to the previous year, according to calculations based on PeerSpot user engagement data.

Cloud Data Integration

PeerResearch reports based on AWS Glue reviews

Type	Title	Date
Category	Cloud Data Integration	Aug 20, 2025	Download
Product	Reviews, tips, and advice from real users	Aug 20, 2025	Download
Comparison	AWS Glue vs AWS Database Migration Service	Aug 20, 2025	Download
Comparison	AWS Glue vs Informatica Intelligent Data Management Cloud (IDMC)	Aug 20, 2025	Download
Comparison	AWS Glue vs MuleSoft Anypoint Platform	Aug 20, 2025	Download

Title	Rating	Mindshare	Recommending
Informatica Intelligent Data Management Cloud (IDMC)	4.0	5.4%	93%	185 interviews Add to research
MuleSoft Anypoint Platform	4.0	6.5%	92%	59 interviews Add to research

Valuable Features

AWS Glue stands out for its data catalog, seamless service integration, flexibility with PySpark, straightforward interface, and cost-effectiveness. It offers valuable features like Glue Studio, efficient ETL job handling, intuitive drag-and-drop functionality, and automatic scaling. Users appreciate its ability to manage large volumes of data without requiring dedicated infrastructure, automatic schema detection, and comprehensive transformation capabilities that support machine learning workflows.

"AWS Glue has reduced efforts by 60%, which is the main benefit."
"AWS Glue's most valuable features include its transformation capabilities, which provide data quality and shape for processing in ML or AI models."
"If I'm working with big data, common languages like Python work quite nicely, which is advantageous."

Room for Improvement

AWS Glue faces challenges in start-up time, language support, and cloud exclusivity. The interface and user-friendliness are lacking with limited programming language support. Connector availability and transformations need expansion. Performance issues, high costs, and inadequate documentation affect usability. Technical support and training resources could be improved. Limitations in error handling, metadata management, and version control hinder efficient data processing. Enhancements in UI, automation, and multi-cloud support would benefit users seeking better flexibility and integration.

"When comparing to tools such as Airflow, Glue workflows are still relatively basic in terms of flexibility and complex branching."
"In the building and deployment aspects, there is room for improvement. The current process is a bit complicated and could benefit from being more user-friendly and simpler, which would help speed up the deployment process."
"I am quite technical, yet when it comes to data pipelines, I prefer using GUIs over code-based calls. It might be easier with a different skill set."

ROI

Companies are experiencing a positive return from AWS Glue as it's often more affordable than alternatives. They find it delivers time savings and increases efficiency. Some, however, are exploring less costly options like ClickHouse due to budget constraints. AWS Glue is recommended for those with fewer pipelines who wish to avoid the time and cost associated with setting up other tools. It provides the expected return on investment within desired timelines.

Pricing

AWS Glue features a pay-as-you-go pricing model considered higher than some alternatives like Athena or EMR, with costs based on Data Processing Units (DPUs) and runtime. Some organizations find it cost-effective for serverless architecture, while others deem it expensive, especially for extensive usage. Enterprise users appreciate cost predictability, but support costs can add up to $25,000 annually. Pricing also varies depending on project scale and organizational requirements, challenging cost optimization and necessitating careful planning.

"I rate the tool an eight on a scale of one to ten, where one is expensive, and ten is expensive."
"AWS Glue is a paid service that doesn't come under the free trial of AWS."
"If you are using the solution for an enterprise business, it will be expensive."

Popular Use Cases

AWS Glue's primary use case is facilitating ETL processes across various organizations. Companies utilize it for file ingestion, data transformation, migration, and analytics. It efficiently manages data from diverse sources like S3, Redshift, and SQL servers, enabling seamless data flow. Users appreciate its ability to handle unstructured data, automate pipelines, and integrate with services such as Apache Airflow and Lambda, emphasizing its role in data engineering and analytics in cloud environments.

Service and Support

AWS Glue customer service receives positive feedback for being responsive and helpful, although some express concerns about response times and costs. Customers find tech support reliable, often resolving issues quickly. Support quality may vary based on subscription levels, with premium options offering faster response. Many users rely on community support and internal teams for quick solutions. Some appreciate detailed guidance and proactive suggestions from support engineers, rating service highly for aiding with complex issues.

Deployment

AWS Glue's initial setup is generally straightforward, benefiting from extensive documentation and the AWS Management Console's user interface. Companies find setup easy, often taking minutes to a few hours. However, they note a learning curve for complex configurations and transformations. Larger deployments may need multiple team members or specific expertise, and users appreciate the serverless nature for rapid deployment. Experience varies but is rated positively, usually around seven to nine out of ten for ease.

Scalability

AWS Glue demonstrates strong scalability features, allowing users to adjust resources easily via its serverless design. It's commonly rated highly for handling diverse data scales efficiently. Many users appreciate its ability to expand without infrastructure management. Some challenges include hidden costs and room for improvement in flexibility. AWS Glue effectively supports various organizational needs, from managing large datasets to enterprise-level applications, with several users expressing plans to expand its adoption due to impressive scaling capabilities.

Stability

AWS Glue is predominantly stable and reliable. Users report minimal issues, with many highlighting its robust integration capabilities and stability rates around eight to ten out of ten. Some users note occasional performance challenges under heavier workloads, though these seem infrequent. Its stability benefits from its architecture, scalability, and AWS management. Many emphasize its reliability for data integration and various production environments, with rare network-related issues noted.

These insights are based on the in-depth reviews provided by peers to help you make a better buying decision.

Download our AWS Glue Buyer's Guide for additional reliable information.

Review data by company size

By reviewers

By visitors reading reviews

Top industries

By visitors reading reviews

Financial Services Firm

21%

Computer Software Company

12%

Manufacturing Company

Government

Insurance Company

Retailer

Educational Organization

Comms Service Provider

Healthcare Company

Real Estate/Law Firm

University

Energy/Utilities Company

Non Profit

Media Company

Construction Company

Legal Firm

Performing Arts

Outsourcing Company

Hospitality Company

Transportation Company

Recreational Facilities/Services Company

Wholesaler/Distributor

Pharma/Biotech Company

Consumer Goods Company

Logistics Company

Engineering Company

Compare AWS Glue with alternative products

Learn more about AWS Glue

AWS Glue allows users to connect to more than 70 diverse data sources and manage data in a centralized data catalog. The solution facilitates visual creation, running, and monitoring of extract, transform, and load (ETL) pipelines to load data into users' data lakes. This Amazon product seamlessly integrates with other native applications of the brand and allows users to search and query cataloged data using Amazon EMR, Amazon Athena, and Amazon Redshift Spectrum.

The solution also utilizes application programming interface (API) operations to transform users' data, create runtime logs, store job logic, and create notifications for monitoring job runs. The console of AWS Glue connects all of these services into a managed application, facilitating the monitoring and operational processes. The solution also performs provisioning and management of the resources required to run users' workloads in order to minimize manual work time for organizations.

AWS Glue Features

AWS Glue groups its features into four categories - discover, prepare, integrate, and transform. Within those groups are the following features:

Automatic schema discovery: AWS Glue crawlers connect to the organization's source or target data source through a prioritized list of classifiers to determine the schema for users' data. This feature creates metadata in companies' AWS Glue Data Catalog.
Schemas for data stream management: The AWS Glue Schema Registry enables users to validate and control the evolution of streaming data through registered Apache Avro schemas for no additional charge.
Automatic scaling based on workload: This feature dynamically scales resources up and down based on workload. The feature controls job resources, removing them depending on how much the workload can be split up.
FindMatches: This feature is for machine learning-based data deduplication and cleansing, and works by finding records that are imperfect matches of each other to remove useless data copies.
Edit, debug, and test ETL code: This feature helps users who have chosen to interactively develop their ETL code by providing development endpoints for editing, debugging, and testing the code it generates for them.
AWS Glue DataBrew: An interactive, point-and-click visual interface for specialists to clean and normalize data without the need to write any code.
AWS Glue Interactive Sessions: This feature simplifies the development of data integration jobs by enabling data engineers to interactively prepare and explore data.
AWS Glue Studio Job Notebooks: This AWS Glue feature provides serverless notebooks with minimal setup, allowing developers to start working in a timely manner.
Complex ETL pipeline building: This feature allows the product to be invoked on a schedule, on demand, or based on an event, allowing users to start multiple jobs in parallel or specify dependencies to build complex ETL pipelines.
AWS Glue Studio: This AWS Glue feature allows users to visually transform data through a drag-and-drop interface. The product automatically generates the code for ETL processes for users' data.

AWS Glue Benefits

AWS Glue offers a wide range of benefits for its users. These benefits include:

Users of other AWS products can easily onboard with AWS Glue, as it is integrated across a wide range of the company's services.
The solution is serverless, which allows for a lower total cost of ownership.
AWS Glue offers more power for users, as it automates much of the effort in building, maintaining, and running ETL jobs.
The product allows customers to easily discover and search across all their AWS datasets through AWS Glue Data Catalog.
AWS Glue does not require additional payment for managing and enforcing schemas for data streams.
The solution facilitates the authority of scalable ETL jobs for beginners and non-coding experts through a drag-and-drop interface.

Reviews from Real Users

Mustapha A., a cloud data engineer at Jems Groupe, likes AWS Glue because it is a product that is great for serverless data transformations.

Liana I., CEO at Quark Technologies SRL, describes AWS Glue as a highly scalable, reliable, and beneficial pay-as-you-go pricing model.