AWS Glue vs SAS Data Integration Server 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 83% of SAS users who would recommend it.

AWS Glue

Read 50 AWS Glue reviews

8,660 Views
6,322 Comparison Views

90% willing to recommend

SAS Data Integration Server

Read 4 SAS Data Integration Server reviews

2,292 Views
1,811 Comparison Views

83% willing to recommend

AWS Glue

SAS Data Integration Server

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Executive Summary

We performed a comparison between AWS Glue and SAS Data Integration Server 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: June 2026).

Buyer's Guide

Cloud Data Integration

June 2026

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Helped 902,894 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:

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 Integration Server

Average Rating

7.2

Reviews Sentiment

6.5

Number of Reviews

Ranking in other categories

Data Integration (40th)

Featured Reviews

Sridivya Chillappa

application security engineer at Hyperspace IT India

Efficient data integration reduces operational time and enhances metadata management

For the initial setup with AWS Glue, I find it easy to set up the data catalog and create Glue jobs using the visual editor or the visual code. Setting permission sets via IAM rules can be a bit tricky at the start, but we ensure Glue has access to AWS S3, Redshift, and other services. Once the role is configured, it runs smoothly. For advanced configurations, connecting to VPCs and setting up connections with JDBC sources takes more time compared to my cloud experience, but overall, for someone with cloud and ETL experience, the setup is manageable and well done.

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reviewer2937544

Works at a financial services firm with 5,001-10,000 employees

Offloads processes on the server side but needs better installation syntax

One area for improvement is the installation process. Another point could be the syntax, as it sometimes involves using syntax names that are not intuitive. For example, to calculate the difference between two dates, the general syntax in SAS is called the data difference or data net function. However, another name is used, such as NF and INK. Without knowledge of SAS programming, it becomes unclear what these functions mean. It is not good to define function names this way.

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Quotes from Members

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

Pros

"The AWS Glue Data Catalog provides metadata management and schema discovery. AWS Glue simplifies data transformation with automatic schema detection, incremental data updates, and integration with other AWS services."

"The most valuable feature of AWS Glue is its ease of use and good documentation. Additionally, we can do all the transformations that we need."

"The solution helps organizations gain flexibility in defining the structure of the data."

"It's fairly straightforward as a product; it's not very complicated."

"The best thing about AWS Glue is its scalability and how easy it is to process a large amount of data."

"The facility to integrate with S3 and the possibility to use Jupyter Notebook inside the pipeline are the most valuable features."

"We have found it beneficial when moving data from one source to another."

"I like that it's flexible, powerful, and allows you to write your own queries and scripts to get the needed transformations."

More AWS Glue pros

"The most valuable feature of the solution is its amazing capabilities in regard to data handling."

"The solution is very stable."

"A key feature allows us to enhance job performance by offloading processing to the server side, rather than processing on the server itself."

"The solution offers very good data manipulation and loading."

Cons

"The overall cost of AWS Glue could be better. It cost approximately $1,000 a month."

"It needs improvements in terms of Java support and the turnaround time for our problems."

"One area that could be improved is the ETL view. The drag-and-drop interface is not as user-friendly as some other ETL tools."

"The mapping area and the use of the data catalog from Glue could be better."

"When there is a need to configure connections to different database sources in respect of the target, it would be good if it were easier to deal with roles."

"Beginners need additional support as it currently lacks some features required for complex transformations, often necessitating custom Python coding."

"While working on AWS Glue, I could not find any training material for it."

"The monitoring is not that good. We'd like to see job progress be more clear."

More AWS Glue cons

"The initial setup had issues, and even after using it for about one year, it was still not fixed."

"So I would like to see improved integration with other software."

"The initial setup of SAS Data Integration Server was complex."

"One area for improvement is the installation process."

"The transform tool has limited access. They should make it more flexible."

"Something that could improve is writing SQL to integration studio because it is not that straightforward. There should be better integration with other software."

Pricing and Cost Advice

"I rate the product's pricing a five on a scale of one to ten, where one is a high price, and ten is a low price."

"The overall cost of AWS Glue could be better. It cost approximately $1,000 a month. There is paid support available from AWS Glue."

"AWS Glue follows a pay-as-you-go model, wherein the cost of the data you use will be counted as a monthly bill."

"It is not expensive. AWS Glue works on the serverless architecture. We get charged for the time the server is up. For our use case, we have to use it once in a day, and it is not expensive for us."

"This solution is affordable and there is an option to pay for the solution based on your usage."

"Technical support is a paid service, and which subscription you have is dependent on that. You must pay one of them, and it ranges from $15,000 to $25,000 per year."

"If you are using the solution for an enterprise business, it will be expensive."

"I rate the tool's pricing a four out of ten."

More AWS Glue pricing and cost advice

"It is an expensive program."

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Top Industries

By visitors reading reviews

Financial Services Firm

20%

Manufacturing Company

Computer Software Company

Comms Service Provider

Financial Services Firm

26%

Construction Company

13%

Comms Service Provider

11%

Computer Software Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

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

No data available

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...

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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...

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What needs improvement with SAS Data Integration Server?

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What is your primary use case for SAS Data Integration Server?

I am involved in the ETR job. My role is focused on executing the ETR job.

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What advice do you have for others considering SAS Data Integration Server?

I use it without further details. For example, if I use SAS to connect to a NetEazt database or purchase a shared asset to ODBC, I can connect to any database with ODBC connection support. The over...

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Comparisons

AWS Database Migration Service vs AWS Glue

Compared 39% 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 4% of the time

Amazon Data Firehose vs AWS Glue

Compared 3% of the time

More AWS Glue Competitors

SSIS vs SAS Data Integration Server

Compared 8% of the time

Oracle Data Integrator (ODI) vs SAS Data Integration Server

Compared 5% of the time

Informatica PowerCenter vs SAS Data Integration Server

Compared 5% of the time

Palantir Foundry vs SAS Data Integration Server

Compared 4% of the time

Axway AMPLIFY Application Integration vs SAS Data Integration Server

Compared 4% of the time

More SAS Data Integration Server Competitors

Product Reports

Buyer's Guide

AWS Glue

June 2026

Download AWS Glue product report

Buyer's Guide

Data Integration

June 2026

Download SAS Data Integration Server product report

Also Known As

No data available

SAS Enterprise Data Integration Server, Enterprise Data Integration Server

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 Integration Server automates and manages data integration processes, enabling efficient data management, transformation, and migration in enterprises. It provides a comprehensive suite for data-driven solutions.

Designed for extensive data management needs, SAS Data Integration Server supports seamless data integration, allowing users to access, run, and monitor data transformation processes. It is tailored to enhance data quality and streamline processes, serving industries reliant on precise data interpretation and utilization. With robust functionalities, it simplifies complex data environments, promoting productivity and reliability in data handling.

What are the key features of SAS Data Integration Server?

Data Profiling: Ensures data accuracy and quality through thorough analysis.
ETL Capabilities: Extracts, transforms, and loads data efficiently.
Metadata Management: Centralized control over data definitions and usage.
Data Lineage: Tracks data source origins and transformations for transparency.

What benefits and ROI should reviewers look for?

Improved Data Accuracy: Enhances decision-making with high-quality data.
Increased Efficiency: Reduces time and effort in data-related tasks.
Scalability: Adapts to growing business data demands seamlessly.
Reduced Costs: Optimizes resources, minimizing unnecessary expenditures.

SAS Data Integration Server finds applications across numerous industries, like finance and healthcare, where data integration and quality are critical. In finance, it helps manage vast amounts of transaction data, while in healthcare, it ensures accurate patient information management and reporting.

SAS

Sample Customers

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

Credit Guarantee Corporation, Cr_dito y Cauci‹n, Delaware State Police, Deutsche Lufthansa, Directorate of Economics and Statistics, DSM, Livzon Pharmaceutical Group, Los Angeles County, Miami Herald Media Company, Netherlands Enterprise Agency, New Zealand Ministry of Health, Nippon Paper, West Midlands Police, XS Inc., Zenith Insurance

Buyer's Guide

Cloud Data Integration

June 2026

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