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AWS Glue vs SAP Data Services comparison

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17,894 views|14,654 comparisons
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13,534 views|11,031 comparisons
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Buyer's Guide
Cloud Data Integration
July 2022
Find out what your peers are saying about MuleSoft, Amazon, Informatica and others in Cloud Data Integration. Updated: July 2022.
620,987 professionals have used our research since 2012.
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 stable and reliable.""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.""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.""One of the best features of the solution is its ability to easily integrate with other AWS services.""Glue is a NoSQL-based data ETL tool that has some advantages over IIS and ISAs.""I like that it's flexible, powerful, and allows you to write your own queries and scripts to get the needed transformations.""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.""It is AWS-integrated. There is end-to-end integration with the other AWS services. It is also user-friendly."

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"The BA reporting tools, such as Data Services, and ETL tool in SAP Data Services are the most valuable. When we had in-memory requirements, we used HANA. HANA is most preferably for most the customers for in-memory. SAP is the first company that created the in-memory concept.""The most valuable feature is the ETL functionality.""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.""You can always manipulate a lot of things as long as you have the skill level.""I appreciate having access to the SAP data.""The basic functionality is quite good as is the basic logic and data information.""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."

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Cons
"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.""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.""There is a learning curve to this tool.""There should be more connectors for different databases.""The monitoring is not that good.""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.""Overall, I consider the technical support to be fine, although the response time could be faster in certain cases."

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"Source code control is another headache. When your source code base gets too large, managing the source code becomes cumbersome.""The skillset of data engineers matters a bit to use all the functionality of this solution. Otherwise, the delivery speed won't be faster.""It would be nice if this solution was a bit easier to move from development to production.""Data Services SAP is lacking in sources and target databases compared to Informatica. SAP Data Services should have more connectivity.""It's an ETL that is very good with relational databases but not as good with files and semi-structured files.""At the integration level, there could be certain set of improvement to connect to various other systems.""I want some more business intelligence applications. People need to know more and more about data, including the transformation rules, etc. Informatica is a better product for data cataloging. SAP should update the data catalog.""The migration of the solution between different environments is quite complex."

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Pricing and Cost Advice
  • "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."
  • "Technical support is a paid service, and which subscription you have is dependent on that. You must pay one of them, and it ranges from $15,000 to $25,000 per year."
  • "This solution is affordable and there is an option to pay for the solution based on your usage."
  • "AWS Glue is quite costly, especially for small organizations."
  • More AWS Glue Pricing and Cost Advice →

  • "Its pricing is as per the enterprise agreement and not a concern for us."
  • "The price is very reasonable."
  • "There is a one time purchase fee plus annual maintenance."
  • "The price of SAP Data Services is a little high when compared to other solutions. Due to the pricing and capabilities, many clients are switching to other solutions."
  • More SAP Data Services Pricing and Cost Advice →

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    Questions from the Community
    Top Answer:AWS Glue and Azure Data factory for ELT best performance cloud services.
    Top Answer: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… more »
    Top Answer:The facility to integrate with S3 and the possibility to use Jupyter Notebook inside the pipeline are the most valuable features.
    Top Answer:The most valuable feature is the ETL functionality.
    Top Answer:Dealing with the REST API is not easy with Data Services. It is mandatory to have a WADL file and it is difficult to find this file and set it up. I would like to see a better connection with the API… more »
    Ranking
    2nd
    Views
    17,894
    Comparisons
    14,654
    Reviews
    8
    Average Words per Review
    507
    Rating
    8.0
    8th
    Views
    13,534
    Comparisons
    11,031
    Reviews
    9
    Average Words per Review
    541
    Rating
    8.0
    Comparisons
    Also Known As
    SAP BusinessObjects Data Services, SAP BusinessObjects Data Integrator, BusinessObjects Data Integrator
    Learn More
    Overview

    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.

    Offer
    Learn more about AWS Glue
    Learn more about SAP Data Services
    Sample Customers
    bp, Cerner, Expedia, Finra, HESS, intuit, Kellog's, Philips, TIME, workday
    EMC Corporation, LivePerson, Eldorado, Mozzart, The VELUX Group, AOK Bundesverband, Hilti Group, Nissha Printing Company Ltd., Asian Paints, Aareal Bank Group, Migros Group
    Top Industries
    VISITORS READING REVIEWS
    Computer Software Company23%
    Financial Services Firm10%
    Media Company10%
    Comms Service Provider10%
    REVIEWERS
    Manufacturing Company21%
    Religious Institution7%
    Comms Service Provider7%
    University7%
    VISITORS READING REVIEWS
    Computer Software Company29%
    Comms Service Provider14%
    Energy/Utilities Company8%
    Manufacturing Company7%
    Company Size
    REVIEWERS
    Small Business9%
    Midsize Enterprise27%
    Large Enterprise64%
    VISITORS READING REVIEWS
    Small Business13%
    Midsize Enterprise11%
    Large Enterprise75%
    REVIEWERS
    Small Business20%
    Midsize Enterprise9%
    Large Enterprise71%
    VISITORS READING REVIEWS
    Small Business15%
    Midsize Enterprise13%
    Large Enterprise72%
    Buyer's Guide
    Cloud Data Integration
    July 2022
    Find out what your peers are saying about MuleSoft, Amazon, Informatica and others in Cloud Data Integration. Updated: July 2022.
    620,987 professionals have used our research since 2012.

    AWS Glue is ranked 2nd in Cloud Data Integration with 10 reviews while SAP Data Services is ranked 8th in Data Integration Tools with 9 reviews. AWS Glue is rated 8.2, while SAP Data Services is rated 8.0. The top reviewer of AWS Glue writes "Easy to perform ETL on multiple data sources, and easy to use after you learn it". On the other hand, the top reviewer of SAP Data Services writes "It's a powerful tool that does a lot, but it has its annoyances". AWS Glue is most compared with AWS Database Migration Service, Informatica PowerCenter, Talend Open Studio, Informatica Cloud Data Integration and SnapLogic, whereas SAP Data Services is most compared with Azure Data Factory, SSIS, Informatica PowerCenter, SAP Process Orchestration and Alteryx Designer.

    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.