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."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."
"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."
"AWS Glue is a good solution for developers, they have the ability to write code in different languages and other software."
"The facility to integrate with S3 and the possibility to use Jupyter Notebook inside the pipeline are the most valuable features."
"I appreciate AWS Glue for its cost-effectiveness."
"I like the fact that AWS Glue works with Python scripts."
"I also like that you can add custom libraries like JAR files and use them. So, the ability to use a fast processing engine and embed basic jobs easily are significant advantages."
"We have found it beneficial when moving data from one source to another."
"This is an established product with powerful data analysis and varied options for user entry points."
"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."
"The product offers very good flexibility."
"I am impressed with the tool's ability to customize."
"If you compare it to SQL, the memory and development times are very quick."
"The solution is very stable. We haven't faced any issues with glitches or bugs. We haven't had any crashes."
"The tool is reliable, quick, and powerful."
"The technical support is excellent."
"The start-up time is really high right now. For instance, when you start up a new job, you have to wait for five or eight minutes before it starts. If the start-up time is reduced to one or two minutes, it will be great. It will be better to have a direct linkage to Redshift in AWS. If we can use data catalogs from Redshift, it will be so easy to create some data catalogs. Currently, we can only use data catalogs from S3."
"I would like to see a more robust interface on the no-code side. This would be nice to be able to split cells."
"I would like to see stable libraries at the moment they are not there."
"The monitoring is not that good."
"It fails to handle massive databases acquired from various sources."
"The solution’s stability could be improved."
"While working on AWS Glue, I could not find any training material for it."
"The interface for AWS Glue could improve, they do not put a lot of details. You can write the code, in PySpark or in Scala, which is a big advantage, it is only easy to use for a developer. It will be difficult for new users to enter the cloud environment."
"The solution could use better documentation."
"The pricing of the solution needs to be improved. They need to work to make it more affordable."
"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."
"We implemented it a while ago, and we are trying to improve the data delivery performance. We are looking into how to get faster and automated reporting. We would need better designs and workflows."
"I would like the tool to include the ability to automate the modifications of the integrations."
"We find we often have to go back and re-train users when there are changes made to the solution because the changes are not intuitive."
"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."
AWS Glue is ranked 1st in Cloud Data Integration with 37 reviews while SAS Data Management is ranked 43rd in Data Integration with 15 reviews. AWS Glue is rated 7.8, while SAS Data Management is rated 8.4. The top reviewer of AWS Glue writes "Provides serverless mechanism, easy data transformation and automated infrastructure management". On the other hand, the top reviewer of SAS Data Management writes "A scalable solution with customer support that is responsive and diligent". AWS Glue is most compared with AWS Database Migration Service, Informatica PowerCenter, SSIS, Informatica Cloud Data Integration and Talend Open Studio, whereas SAS Data Management is most compared with Informatica PowerCenter, Tungsten RPA, Microsoft Purview, IBM InfoSphere DataStage and Palantir Foundry. See our AWS Glue vs. SAS Data Management report.
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We monitor all Cloud Data Integration reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.
