Anonymous UserManager of Customer Care Center at a construction company
We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
"Data catalog and triggers are the two best features for me. AWS Glue has its own data catalog, which makes it great and really easy to use. Triggers are also really good for scheduling the ETL process."
"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 facility to integrate with S3 and the possibility to use Jupyter Notebook inside the pipeline are the most valuable features."
"The logic is also simple. It makes it easy to build your extraction."
"The fact that it's built on SQL, it makes it easy to write code. The database and the connection are quite smooth."
"The user interface is ok."
"It is a powerful product with a broad range of features."
"The HANA database, which is very fast, is a valuable feature."
"The reporting on the data, even from third-party software, is very good."
"The maintenance of data services is the solution's most valuable feature."
"The most valuable feature is the logging capability."
"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."
"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."
"The crucial problem with AWS Glue is that it only works with AWS. It is not an agnostic tool like Pentaho. In PowerCenter, we can install the forms from Google and other vendors, but in the case of AWS Glue, we can only use AWS."
"Scheduling of jobs in the sequence is not available. It's a very tedious process to do that particular task. If there was a tool to schedule in the sequence that would be extremely helpful."
"The description of error messages isn't extensive, although they point to the problem. With other solutions, like Talend, I was able to use the debugger to get directly to the problem, but with SAP Data Services the debugger is not working. I'm not sure if it's a problem with the version specifically, but I'm using it in an enterprise environment and I can't do an upgrade."
"The initial setup is complex."
"Newer feature integration is lagging behind the company acquisitions and the product could do more to service a broader range of devices."
"Integration with other products could be improved."
"The solution should offer more machine learning and automation."
"The pricing of the solution should be improved."
"The interface is not quite user-friendly and is in need of improvement."
"The pricing is a bit higher than other solutions like Athena and EC2. If the pricing becomes more scaled or flexible, it will be good because you have to pay 44 cents just for one DPU for an hour. If you increase DPUs to 5 or 10, the pricing gets multiplied. There are also some time limits like 0 to 10 minutes or 10 to 20 minutes. If the pricing is according to the minutes, it would be better because you have to limit your job to 10 minutes or 20 minutes."
"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."
"Pricing is good, there is no problem."
"The pricing is a little high to make the product more competetive in the marketplace."
"Its pricing is as per the enterprise agreement and not a concern for us."
"The price is very reasonable."
AWS Glue is a fully managed extract, transform, and load (ETL) service that makes it easy for customers to prepare and load their data for analytics. You can create and run an ETL job with a few clicks in the AWS Management Console. You simply point AWS Glue to your data stored on AWS, and AWS Glue discovers your data and stores the associated metadata (e.g. table definition and schema) in the AWS Glue Data Catalog. Once cataloged, your data is immediately searchable, queryable, and available for ETL.
You cannot afford to run your business on questionable data. With SAP® Data Services software, you can access, transform, and connect data to fuel your critical business processes. Together, these enterprise-class solutions enable data integration and data quality, providing the right level of insight across your business so you can make better decisions and operate more effectively.
AWS Glue is ranked 7th in Cloud Data Integration with 3 reviews while SAP Data Services is ranked 7th in Data Integration Tools with 12 reviews. AWS Glue is rated 7.6, while SAP Data Services is rated 7.6. The top reviewer of AWS Glue writes "Improved our time to implement a new ETL process and has a good price and scalability, but only works with AWS". On the other hand, the top reviewer of SAP Data Services writes "Helps us to collect and analyze data and has enabled us to increase our product line ". AWS Glue is most compared with Talend Open Studio, Informatica PowerCenter, AWS Database Migration Service, IBM InfoSphere DataStage and SAS Data Integration Server, whereas SAP Data Services is most compared with Azure Data Factory, Palantir Foundry, Informatica PowerCenter, SSIS and Qlik Replicate.
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