AWS Glue vs SAS Data Management comparison

Amazon Web Services (AWS) and SAS are both solutions in the Cloud Data Integration category. Additionally, 90% of Amazon Web Services (AWS) users are willing to recommend the solution, compared to 88% of SAS users who would recommend it.

AWS Glue

Read 50 AWS Glue reviews

9,204 Views
6,903 Comparison Views

90% willing to recommend

SAS Data Management

Read 19 SAS Data Management reviews

5,073 Views
2,790 Comparison Views

88% willing to recommend

AWS Glue

SAS Data Management

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Executive Summary

We performed a comparison between AWS Glue and SAS Data Management based on real PeerSpot user reviews.

Find out what your peers are saying about Amazon Web Services (AWS), Informatica, Palantir and others in Cloud Data Integration.

To learn more, read our detailed Cloud Data Integration Report (Updated: August 2026).

Buyer's Guide

Cloud Data Integration

August 2026

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Helped 909,725 peers since 2012

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

ROI

Sentiment score

5.9

Organizations find AWS Glue efficient and cost-effective despite overhead costs, though some consider alternatives due to budget constraints.

Sentiment score

6.1

SAS Data Management enhances ROI by improving data accuracy and reliability while reducing costs, especially for larger organizations.

I advocate using Glue in such cases.

reviewer2322996

Data Architect at a financial services firm with 10,001+ employees

For more quotes and insights, download the AWS Glue report

Reliable data plus less human intervention and less error result in a strong return on investment.

Namanjbaraiya Baru

Biostatistician at Lambda Therapeutic Research Ltd.

For more quotes and insights, download the SAS Data Management report

Customer Service

Sentiment score

6.5

AWS Glue customer service is praised for responsiveness and effectiveness, with mixed feedback on support speed, costs, and consistency.

Sentiment score

7.3

SAS Data Management customer service is praised for responsiveness and expertise, but experiences vary by region and complexity.

Upgrades occur every four months, and new developments coincide with version updates.

Nivas Srinivasan

Principal Consultant at a retailer with 1,001-5,000 employees

For complex Glue-related problems such as job failures or permission issues, their documentation is good, but having direct access to support helps cut down troubleshooting time significantly.

Sridivya Chillappa

application security engineer at Hyperspace IT India

For more quotes and insights, download the AWS Glue report

The support for SAS in Brazil is not the best one, but the support in Sweden is really good, as they visit the company and work to solve the issues.

Fernanda Knopki

Data Scientist & Scrum Master at Volvo Group

For more quotes and insights, download the SAS Data Management report

Scalability Issues

Sentiment score

7.8

AWS Glue is highly scalable and serverless, praised for easy resource management, but needs better parallel computation.

Sentiment score

7.0

SAS Data Management is scalable and adaptable, efficiently handling extensive data and users across various roles and locations.

It is beneficial to upgrade jobs, and we conduct extensive testing in development before migrating to production.

Nivas Srinivasan

Principal Consultant at a retailer with 1,001-5,000 employees

It can easily handle data from one terabyte to 100 terabytes or more, scaling nicely with larger datasets.

Saurabh Jaiswal

Python AWS & AI Expert at a tech consulting company

For more quotes and insights, download the AWS Glue report

No quotes available

For more quotes and insights, download the SAS Data Management report

Stability Issues

Sentiment score

7.9

AWS Glue is stable and reliable with minor issues, scaling well, and efficient due to serverless architecture and tool integration.

Sentiment score

7.3

SAS Data Management is stable and efficient, excelling on Linux, though minor issues exist with the Windows client.

As a managed service, it reduces management burdens.

Saurabh Jaiswal

Python AWS & AI Expert at a tech consulting company

For more quotes and insights, download the AWS Glue report

No quotes available

For more quotes and insights, download the SAS Data Management report

Room For Improvement

AWS Glue faces challenges with startup times, interface complexity, language limitations, cost, performance, integration, and multi-cloud compatibility.

Users seek cost-effective improvements in installation, integration, analytics, cloud scalability, user interface, documentation, and data sharing capabilities.

With AWS, I gather data from multiple sources, clean it up, normalize it, de-duplicate it, and make it presentable.

reviewer2322996

Data Architect at a financial services firm with 10,001+ employees

A more user-friendly and simpler process would help speed up the deployment process.

Saurabh Jaiswal

Python AWS & AI Expert at a tech consulting company

Learning the latest functionalities is crucial, and while challenging, it is a vital part of staying current and ensuring an efficient ETL process.

Nivas Srinivasan

Principal Consultant at a retailer with 1,001-5,000 employees

For more quotes and insights, download the AWS Glue report

There is significant room for improvement, especially with regard to using a hybrid approach that involves both CAS and persistent storage.

SantoshTiwari

Associate Director at Woodpecker Analytics & Services

SAS Data Management can be improved in terms of the learning curve.

Namanjbaraiya Baru

Biostatistician at Lambda Therapeutic Research Ltd.

For more quotes and insights, download the SAS Data Management report

Setup Cost

AWS Glue offers flexible, efficient serverless architecture but can be costly and unpredictable, especially for smaller organizations.

SAS Data Management's robust features lead to high costs, perceived as valuable, yet budget constraints may limit adoption.

AWS charges based on runtime, which can be quite pricey.

reviewer2322996

Data Architect at a financial services firm with 10,001+ employees

Costing depends on resource usage, and cost optimization may involve redesigning jobs for flexibility.

Nivas Srinivasan

Principal Consultant at a retailer with 1,001-5,000 employees

Regarding AWS Glue's pricing, it is not more expensive; rather, it is very reasonable, but it is not cheap.

Sridivya Chillappa

application security engineer at Hyperspace IT India

For more quotes and insights, download the AWS Glue report

From my experience, SAS Data Management is an expensive tool.

SantoshTiwari

Associate Director at Woodpecker Analytics & Services

For more quotes and insights, download the SAS Data Management report

Valuable Features

AWS Glue excels with its easy interface, scalable ETL processing, seamless AWS integration, affordability, and serverless architecture.

SAS Data Management provides reliable interfaces, robust governance, analytics, and security, making it ideal for diverse industries and users.

AWS Glue has reduced efforts by 60%, which is the main benefit.

Sridivya Chillappa

application security engineer at Hyperspace IT India

AWS Glue also enhances job scheduling and orchestration capabilities, integrating with AWS Glue Studio for comprehensive data workflow management.

Saurabh Jaiswal

Python AWS & AI Expert at a tech consulting company

For ETL, I feel the performance is excellent. If I create jobs in a standard way, the performance is great, and maintenance is also seamless.

Nivas Srinivasan

Principal Consultant at a retailer with 1,001-5,000 employees

For more quotes and insights, download the AWS Glue report

SAS Data Management stands out because of its data standardization, transformation, and verification capabilities.

SantoshTiwari

Associate Director at Woodpecker Analytics & Services

SAS Data Management's best feature is first, data reliability because SAS Data Management is a very trusted platform.

Namanjbaraiya Baru

Biostatistician at Lambda Therapeutic Research Ltd.

The metadata management feature of SAS Data Management helps a lot; creating your data marts or data lake with good naming conventions, library conventions, and so on is very important because it allows easy queries to find the whole structure, though I think metadata governance also depends on first definitions, not only on the tool.

Fernanda Knopki

Data Scientist & Scrum Master at Volvo Group

For more quotes and insights, download the SAS Data Management report

Categories and Ranking

AWS Glue

Average Rating

7.8

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

Cloud Data Integration (1st)

SAS Data Management

Average Rating

8.6

Reviews Sentiment

6.6

Number of Reviews

Ranking in other categories

Data Integration (27th), Data Quality (8th), Data Governance (23rd)

Featured Reviews

Nivas Srinivasan

Principal Consultant at a retailer with 1,001-5,000 employees

The solution improves ETL performance but faces challenges with version upgrades

For ETL, I feel the performance is excellent. If I create jobs in a standard way, the performance is great, and maintenance is also seamless. It is serverless, so I do not need to worry about other integrations. It runs on a serverless VM. Glue services from AWS are regularly upgraded with new properties and functions. We use PySpark and other frameworks, which help customize our ETL process in a standard way. During our process, we utilized the typical SQL ITIL process standard in Glue-oriented ETL services, which helped us improve performance and time. AWS running time, mostly during the morning, saved us time compared to the old ETL method. There are many email notifications once a job is successful or fails, and we get notifications using SES or AWS's Simple Notification Service. Glue is integrated with both email alerts, and we are responsible for managing the full data journey from end to end.

Read full review

Namanjbaraiya Baru

Biostatistician at Lambda Therapeutic Research Ltd.

Data management has ensured compliant clinical trial datasets and supports reliable analysis

SAS Data Management's best feature is first, data reliability because SAS Data Management is a very trusted platform. The other valuable feature is data cleaning and the compliance that SAS Data Management provides. I can connect SAS Data Management with other SAS applications, as I am using SAS Viya, SAS 9.4, and SAS Enterprise Guide. The data query functionality of SAS Data Management is also very useful. Since I am using SAS Data Management, and SAS Data Management is well trusted by all regulatory authorities, the audit trails and security checks are very good. It is very reliable, very time-saving, and the chances of error are minimal.

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Top Industries

By visitors reading reviews

Financial Services Firm

20%

Manufacturing Company

Comms Service Provider

Computer Software Company

Financial Services Firm

16%

Construction Company

Outsourcing Company

Comms Service Provider

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	11
Midsize Enterprise	6
Large Enterprise	34

By reviewers
Company Size	Count
Small Business	8
Midsize Enterprise	2
Large Enterprise	8

Questions from the Community

How do you select the right cloud ETL tool?

AWS Glue and Azure Data factory for ELT best performance cloud services.

See all answers

How does Talend Open Studio compare with AWS Glue?

We reviewed AWS Glue before choosing Talend Open Studio. AWS Glue is the managed ETL (extract, transform, and load) from Amazon Web Services. AWS Glue enables AWS users to create and manage jobs in...

See all answers

What are the most common use cases for AWS Glue?

AWS Glue's main use case is for allowing users to discover, prepare, move, and integrate data from multiple sources. The product lets you use this data for analytics, application development, or ma...

See all answers

What is your experience regarding pricing and costs for SAS Data Management?

From my experience, SAS Data Management is an expensive tool.

See all answers

What needs improvement with SAS Data Management?

SAS Data Management can be improved in terms of the learning curve.

See all answers

What is your primary use case for SAS Data Management?

My main use case for using SAS Data Management is data cleaning for my clinical trial data because my data is very large, and I need clean, reliable, and regulatory compliance data. My data comes f...

See all answers

Comparisons

AWS Database Migration Service vs AWS Glue

Compared 42% of the time

Informatica Intelligent Data Management Cloud (IDMC) vs AWS Glue

Compared 6% of the time

SSIS vs AWS Glue

Compared 4% of the time

Palantir Foundry vs AWS Glue

Compared 3% of the time

Amazon Data Firehose vs AWS Glue

Compared 3% of the time

More AWS Glue Competitors

Informatica PowerCenter vs SAS Data Management

Compared 9% of the time

Informatica Intelligent Data Management Cloud (IDMC) vs SAS Data Management

Compared 8% of the time

WhereScape RED vs SAS Data Management

Compared 7% of the time

Collibra Platform vs SAS Data Management

Compared 5% of the time

Qlik Talend Cloud vs SAS Data Management

Compared 4% of the time

More SAS Data Management Competitors

Product Reports

Buyer's Guide

AWS Glue

August 2026

Download AWS Glue product report

Buyer's Guide

SAS Data Management

July 2026

Download SAS Data Management product report

Also Known As

No data available

SAS Data Management Platform, Data Management Platform, DataFlux

Overview

AWS Glue is a serverless data integration service offering seamless integration with AWS services like S3, Redshift, and Athena. Known for its flexibility with data formats and automation of ETL tasks, AWS Glue enhances data management and transformation.

AWS Glue facilitates seamless data extraction, transformation, and loading for businesses, integrating with key AWS services, allowing efficient data pipeline automation. It's valued for a user-friendly GUI, scalability, and cost-effectiveness, supporting PySpark for complex datasets and includes a robust data catalog, real-time backup capabilities, and code generation. Despite its strengths, improvements are needed in documentation, training, and broader programming language support. Users face challenges with its complex interface and integration with non-AWS products, driving demand for enhancements in its usability and performance.

What are AWS Glue's most important features?

Seamless AWS Integration: Connects effortlessly with services like S3, Redshift, and Athena.
Serverless Operation: Removes the need for infrastructure management.
Flexible Data Format Handling: Supports various data formats for comprehensive data management.
User-Friendly GUI: Simplifies the creation and management of ETL jobs.
Data Catalog: Provides an organized repository for metadata management.
Real-Time Data Backup: Ensures data integrity and availability.
Code Generation: Facilitates easy script generation for data processes.

What benefits or ROI should users look for in reviews?

Cost Efficiency: Reduced operational costs through serverless architecture.
High Performance: Efficient data processing and transformation capabilities.
Scalability: Adapts to businesses' evolving data demands.
Ease of Use: Intuitive interface allowing streamlined ETL workflows.
Automation: Simplified data pipeline tasks saving time and effort.

Businesses leverage AWS Glue in industries for ETL processes, data integration, and transformation. It is used to optimize data lakes or warehouses integration, enhancing data cataloging and real-time integration. Its serverless feature enables efficient data processing in sectors like finance and healthcare, where handling complex data-intensive tasks is crucial.

Amazon Web Services (AWS)

SAS Data Management provides data integration, governance, and robust reporting tools. It connects to diverse data sources, ensuring quality management and enabling data analysis for technical and non-technical users.

SAS Data Management features flexible data flow creation, scheduling, and ETL control. It enhances data integration and metadata management with tools that support data standardization. Users benefit from its importing and exporting capabilities, connecting to multiple sources. It facilitates improved data quality management and offers a flexible language for diverse needs. Data visualization capabilities further support decision-making across industries, automating reports and data warehouses.

What are the key features of SAS Data Management?

User-friendly interface: Intuitive navigation facilitates ease of use.
Easy data flow creation: Streamlines processes for seamless data management.
Scheduling and ETL control: Automates tasks for increased efficiency.
Data integration: Connects datasets from multiple origins.
Metadata management: Ensures consistency and quality of data.
Data governance: Provides tools for managing data compliance.
Robust reporting: Delivers comprehensive insights through detailed reports.

What benefits and ROI should be considered?

Data standardization: Enhances data predictability and usability.
Data quality management: Improves accuracy and integrity.
Flexible language: Adapts to specific user requirements.
Import/export capabilities: Facilitates seamless data transitions.
Support for diverse users: Offers tools suitable for varied skill levels.
Automation features: Saves time by reducing manual processes.

SAS Data Management helps industries like finance integrate diverse data sources for analytics and reporting. It is used for tasks such as financial reporting, credit risk analysis, and data cleansing. Through user-driven automation, it aids in aligning data warehouses and generating insightful visual outputs, making it ideal for analyzing structured data from sources like Excel and CSV files.

SAS

Sample Customers

bp, Cerner, Expedia, Finra, HESS, intuit, Kellog's, Philips, TIME, workday

Data Management, 1-800-FLOWERS.COM, Absa, Aegon, Allianz Global Corporate & SpecialtyAusgrid, Bank of Queensland, Bell, BMC Software, Canada Post, Ceska pojistovna, Chantecler, Chubb Group of Insurance Companies, Credit Guarantee Corporation, Cr_dito y Cauci‹n, Delaware State Police, Deutsche Lufthansa, Directorate of Economics and Statistics, DSM, Enerjisa, ERGO Insurance Group, Florida Department of Corrections, Generali Hellas, Gitanjali Group, Gloucestershire Constabulary, GS Home Shopping, HealthPartners, IAG New Zealand, iJET, Invacare, Livzon Pharmaceutical Group, Los Angeles County, Miami Herald Media Company, Netherlands Enterprise Agency, New Zealand Ministry of Health, Nippon Paper, North Carolina Office of Information Technology Services, Orlando Magic, OTP Group, PITT OHIO, Plano Independent School District, RWE Poland, Spanish Air Force, Stockholm County Council, Telus, The Travel Corporation, Transitions Optical, Triad Analytic Solutions, UNIQA, US Census Bureau, US Department of Housing and Urban Development, USDA National Agricultural Statistics Service, West Midlands Police, XS Inc., Zenith Insurance

Buyer's Guide

Cloud Data Integration

August 2026

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