SAP Data Services is an offering from SAP to improve data quality.
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SAS Data Management
Score 8.0 out of 10
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A suite of solutions for data connectivity, enhanced transformations and robust governance. Solutions provide a unified view of data with access to data across databases, data warehouses and data lakes. Connects with cloud platforms, on-premises systems and multicloud data sources.
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 …
SAP Data Services offers more connectivity options without external connectors that must be purchased separately. Currently it has become a very robust platform with nothing to envy of its competitors, demonstrating very good results in all implementations. It handles many …
SAP Data Services is better at integration with other SAP products and data sources with native HANA connectors. There are also accelerators to consider when looking at it as a data migration tool for SAP implementations.
Application Development Manager/Solutions Architect
Chose SAP Data Services
We reviewed DS and decided it was the best option as it provides good integration options with SAP. Only alternate considered were flat-file enrichment and legacy system migration workbench.
The product is best when combined with the other products of the SAS suite. In particular, it's great for the preparation, analysis and display of the data if it is carried out with the products indicated above. When it is combined with products other than those of the SAS …
SAS Data Management Platform requires third-party drivers to connect to common data sources like SFDC, MS SQL, Postgres. Has almost all features present as compared to the alternatives we evaluated. On top of it, SAS offered statistical transformations and strong metadata …
Because of ease of using SAS DI and data processing speed. There were lots of issues with AWS Redshift on cloud environment in terms of making connections with the data sources and while fetching the data we need to write complex queries.
SAS integration is not easy because there are various PAM related modules which require additional vendor involvement. Overall once all integrations are set up, it's a great tool and provides multiple options to users for running their model.
Because SAS Data Integration Studio is the third party it seems to work equally well with all our systems. That is to say that it doesn't really work better with Microsoft or Oracle but really just seems to work equally well with all of them. It has a very powerful back-end …
Datastage might be the closest one. Being a full ETL tool, it's weird to compare both. Datastage might be more robust for extraction but it lacks the simplicity that the end users need for everyday data extract and analysis.
SAS/Access can work well with MySQL. There are some coding differences between the two, for example how missing values are handled or rules for variable names. MySQL has simpler coding, but if you are familiar with Base SAS, it is not too difficult to learn. With SAS/Access the …
SAP Data Services is a data integration and transformation software application. It allows users to develop and execute workflows that take data from predefined sources called data stores (applications, Web services, flat-files, databases, etc.)
SAS/Access is well suited for companies who need to manipulate and analyze large databases and data-sets. It does the same thing as SQL, and if you already know basic SAS coding it is easier to pick up. SAS/Access works well with analyzing data from multiple data-sources at once, including large databases stored in external and virtual environments like Hadoop. Data can be easily reassembled from relational databases for use by the user. SAS/Access is not necessary if you are only pulling data from one database that you have the physical file for.
SAS supports the main database connection options that allow you to optimize the performance of your extracts and loads.
Simplicity of the syntax for a basic connection.
Ability to configure by an administrator in a BI environment so that all users can benefit from the connection without having to establish it by themselves.
It is a versatile product but sometimes difficult to use due to the very close link with the proprietary programming language where specific knowledge is required.
Compared to competitors on the market that offer the same functions for the integration perimeter, it is certainly very expensive.
It is very simple to use when combined with products from the SAS suite, less so it is being used stand-alone or integrated with other well-known brands.
The main negative point is the use of a non-standard language for customizations, as well as the poor integration with non-SAS systems. However, there is no doubt that it is a high-performance and powerful product capable of responding optimally to certain requirements.
As other SAP products, there is excellent support by SAP on this tool. You can access the SAP Help portal in order to give support either from the huge community or directly from SAP.
With SAS, you pay a license fee annually to use this product. Support is incredible. You get what you pay for, whether it's SAS forums on the SAS support site, technical support tickets via email or phone calls, or example documentation. It's not open source. It's documented thoroughly, and it works.
SAP Data Services is better at integration with other SAP products and data sources with native HANA connectors. There are also accelerators to consider when looking at it as a data migration tool for SAP implementations.
Because SAS Data Integration Studio is the third party it seems to work equally well with all our systems. That is to say that it doesn't really work better with Microsoft or Oracle but really just seems to work equally well with all of them. It has a very powerful back-end that allows us to transform and load our data quickly and efficiently programmer time wise.