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AWS Glue vs SAS Data Integration Server comparison

 

Comparison Buyer's Guide

Executive Summary

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
7.0
Number of Reviews
49
Ranking in other categories
Cloud Data Integration (1st)
SAS Data Integration Server
Average Rating
7.2
Reviews Sentiment
6.5
Number of Reviews
4
Ranking in other categories
Data Integration (37th)
 

Featured Reviews

Saurabh Jaiswal - PeerSpot reviewer
Enables seamless integration and data preparation with robust transformation capabilities
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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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.

Quotes from Members

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

Pros

"The solution is highly user-friendly, and its features are easy to use. The new addition of AWS Glue Data Catalog is also very beneficial, making the tool even more helpful for its users."
"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."
"Transformations are valuable because you can modify or override complex data logic from an open source or Spark to solve issues."
"The best thing about AWS Glue is its scalability and how easy it is to process a large amount of data."
"Its user interface is quite good. You just need to choose some options to create a job in AWS Glue. The code-generation feature is also useful. If you don't want to customize it and simply want to read a file and store the data in the database, it can generate the code for you."
"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."
"The most valuable feature for me is the visual interface of AWS Glue."
"The key role for Glue is that it hosts our metadata before rolling out our actual data. This is the major advantage of using this solution and our clients client have been very satisfied with it."
"A key feature allows us to enhance job performance by offloading processing to the server side, rather than processing on the server itself."
"A key feature allows us to enhance job performance by offloading processing to the server side, rather than processing on the server itself."
"A key feature allows us to enhance job performance by offloading processing to the server side, rather than processing on the server itself."
"The most valuable feature of the solution is its amazing capabilities in regard to data handling."
"The solution is very stable."
"The solution offers very good data manipulation and loading."
 

Cons

"The point for improvement in AWS Glue would be the dynamic allocation of resources while utilizing Lambda functions."
"It is quite clunky and code-heavy, which is my biggest problem."
"It would be better if it were more user-friendly. The interesting thing we found is that it was a little strange at the beginning. The way Glue works is not very straightforward. After trying different things, for example, we used just the console to create jobs. Then we realized that things were not working as expected. After researching and learning more, we realized that even though the console creates the script for the ETL processes, you need to modify or write your own script in Spark to do everything you want it to do. For example, we are pulling data from our source database and our application database, which is in Aurora. From there, we are doing the ETL to transform the data and write the results into Redshift. But what was surprising is that it's almost like whatever you want to do, you can do it with Glue because you have the option to put together your own script. Even though there are many functionalities and many connections, you have the opportunity to write your own queries to do whatever transformations you need to do. It's a little deceiving that some options are supposed to work in a certain way when you set them up in the console, but then they are not exactly working the right way or not as expected. It would be better if they provided more examples and more documentation on options."
"AWS Glue's error handling is difficult."
"The solution’s stability could be improved."
"The solution should offer features for streaming data in addition to batching data."
"The process of entering environment variables in AWS Glue requires navigating to a different page, which could be streamlined."
"In terms of improvement, the performance of AWS Glue could be faster."
"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 transform tool has limited access. They should make it more flexible."
"One area for improvement is the installation process."
"The initial setup had issues, and even after using it for about one year, it was still not fixed."
"The initial setup of SAS Data Integration Server was complex."
 

Pricing and Cost Advice

"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."
"The current cost is around forty to fifty thousand a month."
"I would rate the solution a six or seven on a scale of one to ten, with ten being very expensive. Specifically, I rate its pricing a six out of ten."
"AWS Glue uses a pay-as-you-go approach which is helpful. The price of the overall solution is low and is a great advantage."
"If you are using the solution for an enterprise business, it will be expensive."
"I rate pricing an eight out of ten."
"The solution's pricing is based on DPUs so it is a good idea to optimize use or it can get expensive."
"AWS Glue is a high-priced solution that bills the client $150,000 to $250,000 annually."
"It is an expensive program."
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Top Industries

By visitors reading reviews
Financial Services Firm
21%
Computer Software Company
13%
Manufacturing Company
8%
Government
6%
Financial Services Firm
28%
Computer Software Company
11%
Insurance Company
8%
Government
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
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.
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...
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...
What do you like most about SAS Data Integration Server?
The most valuable feature of the solution is its amazing capabilities in regard to data handling.
What is your experience regarding pricing and costs for SAS Data Integration Server?
I don't handle the cost and budget part. From the tool's perspective, I can say that it is an amazing product.
What needs improvement with SAS Data Integration Server?
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...
 

Also Known As

No data available
SAS Enterprise Data Integration Server, Enterprise Data Integration Server
 

Overview

 

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
Find out what your peers are saying about AWS Glue vs. SAS Data Integration Server and other solutions. Updated: June 2025.
861,170 professionals have used our research since 2012.