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 87% of SAS users who would recommend it.

AWS Glue

Read 43 AWS Glue reviews

10,182 Views
7,213 Comparison Views

90% willing to recommend

SAS Data Management

Read 16 SAS Data Management reviews

1,332 Views
1,106 Comparison Views

87% willing to recommend

AWS Glue

SAS Data Management

Comparison Buyer's Guide

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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 in this report how the two Cloud Data Integration solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.

To learn more, read our detailed AWS Glue vs. SAS Data Management Report (Updated: October 2024).

Buyer's Guide

AWS Glue vs. SAS Data Management

October 2024

Download the complete report

Helped 814,649 peers since 2012

Categories and Ranking

AWS Glue

Average Rating

7.8

Reviews Sentiment

7.1

Number of Reviews

Ranking in other categories

Cloud Data Integration (1st)

SAS Data Management

Average Rating

8.4

Number of Reviews

Ranking in other categories

Data Integration (39th), Data Quality (11th), Data Governance (25th)

Featured Reviews

Ajaykumar Myana

Senior Software Developer at a computer software company with 10,001+ employees

Jul 31, 2023

Provides serverless mechanism, easy data transformation and automated infrastructure management

I had the source data, which was unstructured and non-fixable, and my responsibility was to convert it into structured data. For this task, I used PySpark as the programming language. With Python, I implemented the creation of a data frame using Glue jobs. Since Glue jobs are a serverless…

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Vivek Trivedi

Head finance transformation at Ahli United Bank Ksc

Jun 5, 2024

Has robust data governance capabilities and efficient financial alerting features

The platform's robust data governance capabilities ensure strong compliance with regulatory standards. Our dedicated data governance team is responsible for setting policies and monitoring data access and usage. Additionally, we have a Data Protection Officer (DPO) and an independent InfoSec team that work together to enforce these policies. This multi-layered approach ensures that data governance is effectively managed and compliant with all necessary regulations. It is integrated with SQL and Power BI servers for executive management dashboard reporting. This integration supports comprehensive data analysis and reporting needs, which was a key factor in our decision. The value of using vCenter lies in its comprehensive data infrastructure management. It significantly enhances our reporting, day-to-day decision-making, and analytics capabilities. Integrating SaaS with vCenter adds value by streamlining key functions and improving overall organizational efficiency. The solution can be considered expensive, particularly due to infrastructure, maintenance, and ownership costs. The long-term savings and efficiencies gained from using vCenter can justify the investment for large organizations. However, the high costs might not be justifiable for smaller organizations with less data and fewer resources. Conducting a thorough cost-benefit analysis based on the organization's specific needs and scale is recommended. I rate it an eight.

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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

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

"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."

"AWS Glue's most valuable features are the data catalog, including crawlers and tables, and Glue Studio, which means you don't have to use custom code."

"Its ease of use, cost-effectiveness, and highly secure architecture are some of the most valuable features."

"One of the best features of the solution is its ability to easily integrate with other AWS services."

"Our entire use case was very easily handled or solved using this solution."

"I appreciate AWS Glue for its cost-effectiveness."

"I like its integration and ability to handle all data-related tasks."

More AWS Glue pros

"In terms of which features I have found most valuable, I would say the importing and exporting features. Additionally, the data sorting, categorizing and summarizing features, especially how it can summarize based on categories. These are the key features."

"I am impressed with the tool's ability to customize."

"This is an established product with powerful data analysis and varied options for user entry points."

"The product offers very good flexibility."

"The solution is very stable. We haven't faced any issues with glitches or bugs. We haven't had any crashes."

"The technical support is excellent."

"The tool is reliable, quick, and powerful."

"Its robustness is valuable. It is a full-fledged suite. We have a data warehouse model, and there are also a lot of data quality management tools. The repository and all other tools are there. So, it is a full package in terms of reporting tools."

More SAS Data Management pros

Cons

"The drawbacks associated with the product stem from the fact that, based on the data volume, it can become very costly."

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

"The price of the solution could improve."

"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."

"If there's a cluster-related configuration, we have to make worker notes, which is quite a headache when processing a large amount of data."

"Overall, I consider the technical support to be fine, although the response time could be faster in certain cases."

"Currently, it supports only two languages in the background: Python and Scala. From our customization point of view, it would be helpful if it can also support Java in the background."

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

More AWS Glue cons

"With SAS Data Management, you have to purchase an external driver, configure all of the tables for all of the data that you will extract from Salesforce. It's not a straightforward process."

"The solution is quite expensive and hard to install/configure."

"I would like the tool to include the ability to automate the modifications of the integrations."

"One problem is accessing the data using a solution other than SAS. The SAS data, which we create in the SAS, cannot be accessed by other tools. We can't open those data in other applications. So we need to have that application in place."

"Very little needs to improve but perhaps a nicer graphic interface and remaining competetive in the growing field of data analytics."

"The pricing of the solution needs to be improved. They need to work to make it more affordable."

"Integration and cloud migration are areas where we see potential for improvement."

"The solution could use better documentation."

More SAS Data Management cons

Pricing and Cost Advice

"It is an expensive product. I rate its pricing a nine out of ten."

"AWS Glue is a high-priced solution that bills the client $150,000 to $250,000 annually."

"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."

"Its price is good. We pay as we go or based on the usage, which is a good thing for us because it is simple to forecast for the tool. It is good in terms of the financial planning of the company, and it is a good way to estimate the cost. It is also simple for our clients. In my opinion, it is one of the best tools in the market for ETL processes because of the fact that you pay as you use, which separates it from other big tools such as PowerCenter, Pentaho Data Integration, and Talend."

"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."

"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."

"The solution's pricing is based on DPUs so it is a good idea to optimize use or it can get expensive."

More AWS Glue pricing and cost advice

"While it is even free for personal use on the cloud, it can be expensive for desktop installations and enterprise use."

"The solution is expensive."

"The tool is a bit expensive."

"The licensing model for vCenter is a perpetual license with yearly payments."

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Top Industries

By visitors reading reviews

Financial Services Firm

21%

Computer Software Company

14%

Manufacturing Company

Insurance Company

Financial Services Firm

30%

Computer Software Company

12%

Insurance Company

Government

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

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...

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What do you like most about SAS Data Management?

I am impressed with the tool's ability to customize.

See all answers

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

The licensing model for vCenter is a perpetual license with yearly payments. This model ensures continuous updates and support while managing initial setup costs.

See all answers

What needs improvement with SAS Data Management?

Integration and cloud migration are areas where we see potential for improvement. A more seamless integration process and transitioning to a cloud-based environment would enhance user-friendliness ...

See all answers

Comparisons

AWS Database Migration Service vs AWS Glue

Compared 35% of the time

Informatica Intelligent Data Management Cloud (IDMC) vs AWS Glue

Compared 8% of the time

Informatica PowerCenter vs AWS Glue

Compared 6% of the time

SSIS vs AWS Glue

Compared 5% of the time

Talend Open Studio vs AWS Glue

Compared 5% of the time

More AWS Glue Competitors

Informatica PowerCenter vs SAS Data Management

Compared 19% of the time

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

Compared 14% of the time

Ab Initio Co>Operating System vs SAS Data Management

Compared 10% of the time

Palantir Foundry vs SAS Data Management

Compared 10% of the time

SSIS vs SAS Data Management

Compared 10% of the time

More SAS Data Management Competitors

Product Reports

Buyer's Guide

AWS Glue

November 2024

Download AWS Glue product report

Buyer's Guide

SAS Data Management

October 2024

Download SAS Data Management product report

Also Known As

No data available

SAS Data Management Platform, Data Management Platform, DataFlux

Learn More

Amazon Web Services (AWS)

SAS

Overview

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.

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.

Every decision, every business move, every successful customer interaction - they all come down to high-quality, well-integrated data. If you don't have it, you don't win. SAS Data Management is an industry-leading solution built on a data quality platform that helps you improve, integrate and govern your data.

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

AWS Glue vs. SAS Data Management

October 2024

Free Report: AWS Glue vs. SAS Data Management

Find out what your peers are saying about AWS Glue vs. SAS Data Management and other solutions. Updated: October 2024.

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