We performed a comparison between AWS Glue and SAP Data Services 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 most valuable features currently are glue studio, jobs, and triggers."
"The facility to integrate with S3 and the possibility to use Jupyter Notebook inside the pipeline are the most valuable features."
"The solution is serverless so it allows us to transform data while optimizing the cost and performance of Spark jobs."
"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's best features are scalability and cloud-based features."
"Glue is a NoSQL-based data ETL tool that has some advantages over IIS and ISAs."
"AWS Glue is fast and managed by AWS. Hence, you don't have to worry about capacity and the performance of Glue jobs. It has integrations with other data stores of AWS. The product offers metadata management, logging, and ETL processing capabilities. It comes with a powerful feature, Glue Studio, which helps to do queries interactively within the community. It is a managed service and very secure. Another popular and mature service is S3."
"The fact that it's built on SQL, it makes it easy to write code. The database and the connection are quite smooth."
"I like how SAP Data Services links reporting and data integration. That's what's most interesting. You also have the opportunity to leverage the power of the Data Services server."
"Data Services' table comparison mechanism is very powerful. It's pretty hard to find a similar feature in other solutions."
"Its integration capabilities and the data migration capabilities are the most valuable. It is very good for SAP and non-SAP tools. It has very good integration with SAP, but it also has the capabilities to connect to other systems. We find it very helpful and stable."
"It is a powerful product with a broad range of features."
"The feature of SAP Data Services has enhanced our company's business processes because we are able to run around 800 jobs in areas like data extraction and transaction objects."
"The logic is also simple. It makes it easy to build your extraction."
"The most valuable feature is the ETL functionality."
"The solution could be cheaper. The price of the solution is an area that needs improvement."
"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."
"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."
"Overall, I consider the technical support to be fine, although the response time could be faster in certain cases."
"In terms of improvement, the performance of AWS Glue could be faster."
"The setup and installation is a bit complex without advanced knowledge or training."
"Glue could perform better. It sometimes takes too long to test a Glue job. Google Cloud Platform offers more Python scripts than AWS."
"The solution’s stability could be improved."
"It would be nice if this solution was a bit easier to move from development to production."
"The execution engines and processing engines have shortcomings and need improvements."
"They could make it easier to work with web services."
"There needs to be multi-language support, however, my understanding is they are working on multi-language now."
"We would like the different tools offered within this solution to be available as standalone entities, rather than having to purchase the entire package when we only require a few features."
"In the future, Data Services should offer a cloud version."
"Integration with other products could be improved."
"The skillset of data engineers matters a bit to use all the functionality of this solution. Otherwise, the delivery speed won't be faster."
AWS Glue is ranked 1st in Cloud Data Integration with 37 reviews while SAP Data Services is ranked 10th in Data Integration with 45 reviews. AWS Glue is rated 7.8, while SAP Data Services is rated 8.0. 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 SAP Data Services writes "Responsive support, scalable, and beneficial integration". AWS Glue is most compared with AWS Database Migration Service, Informatica PowerCenter, SSIS, Informatica Cloud Data Integration and Talend Open Studio, whereas SAP Data Services is most compared with Azure Data Factory, Syniti Data Quality, Informatica PowerCenter, Palantir Foundry and Alteryx Designer. See our AWS Glue vs. SAP Data Services report.
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