SAP Data Services
SAP Data Services
SAP Data Services
Overview
What is SAP Data Services?
SAP Data Services is an offering from SAP to improve data quality.
Read moreRecent Reviews
Popular Features
View all 6 features- Data element standardization (11)7.070%
- Data profiling (11)6.060%
- Data source connectivity (11)5.050%
- Match and merge (11)5.050%
Reviewer Pros & Cons
View all pros & consVideo Reviews
Leaving a video review helps other professionals like you evaluate products. Be the first one in your network to record a review of SAP Data Services, and make your voice heard!
Pricing
View all pricingEntry-level set up fee?
- No setup fee
Offerings
- Free Trial
- Free/Freemium Version
- Premium Consulting / Integration Services
Would you like us to let the vendor know that you want pricing?
4 people want pricing too
Alternatives Pricing
Features
Return to navigation
Product Details
- About
- Competitors
- Tech Details
- FAQs
What is SAP Data Services?
You cannot afford to run your business on
questionable data. SAP® Data
Services software allows you to access, transform, and connect data to fuel your
critical business processes. SAP aims to 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.
SAP Data Services Features
- Supported: Gain access to your data anytime, anywhere
- Supported: Integrate tightly with SAP applications
- Supported: Interconnect with SAP Data Hub
SAP Data Services Competitors
SAP Data Services Technical Details
Operating Systems | Unspecified |
---|---|
Mobile Application | No |
Frequently Asked Questions
SAP Data Services is an offering from SAP to improve data quality.
Oracle Enterprise Data Quality, Informatica Data Quality, and IBM InfoSphere Information Analyzer are common alternatives for SAP Data Services.
Reviewers rate Data element standardization highest, with a score of 7.
The most common users of SAP Data Services are from Enterprises (1,001+ employees).
Comparisons
View all alternativesCompare with
Reviews and Ratings
 (32)
Attribute Ratings
Reviews
(1-11 of 11)- Popular Filters
Companies can't remove reviews or game the system. Here's why
July 21, 2022
SAP Data Services
ETL to load data from both SAP and non-SAP systems to HANA as well as vice versa. SAP has been able to provide drivers and connectors so that data can be stored centrally for reporting and analytics purposes.
- ETL tool to load data from SAP and non-SAP systems into HANA.
- Have local scheduling as well as being able to be interfaced to other scheduling tools.
- The Data Services designer is easy to use by developers to create their workloads.
- Needs improvement on error descriptions. Some are too vague and require additional labor.
December 09, 2021
Data Service - Future
Maximize the value of all your organization’s structured and unstructured data with exceptional functionalities for data integration, quality, and cleansing.
- cleansing
- quality
- data integration
- Change Data Capture
- Data Services Workbench
- Cloud Platform Integration – Data Service (CPI-DS)
December 12, 2019
My SAP Data Services Review
We use SAP Data Services in the IT department as one of our ETL tools. It lets us integrate data from many data sources in an easy way using their graphical interface. It runs especially well-integrating data from our SAP corporative ERP to our data warehouse.
- Very easy to implement new ETL processes
- Connectivity with SAP products
- Spatial data support
- Connectivity using SAP Cloud Platform
December 10, 2019
SAP Data Services
Score 7 out of 10
Vetted Review
Verified User
We use SAP data services as the ETL tool to move data across systems. It is a very powerful tool that allows us to harmonize the data because it gives us many options for transformation.
- Data transformation capabilities
- Native connectivity
- Not usable for end users. It is very technical.
December 09, 2019
My SAP Data Services Review
SAP Data Services allow us to integrate data from many data sources to our corporate data warehouse. It is used by the technicians of our IT department.
- Integrate data from many data sources
- ETL
- Ensure data quality and data integrity in our data warehouse
- SOAP Web service as target
- Spatial data support
- Extended DevOps capabilities
November 29, 2019
SAP Data Services Review
SAP Data Services is used to transform and insert information from other systems into SAP. It is the software used to integrate SAP with MDG.
- Customization.
- Processing capabilities.
- Programming capabilities.
- Native connectivity.
- Not easy to use, need to reach experts even for simple transformations.
I have used the SAP Data Services platform for more than 10 years since its inception when the tool was owned by Business Objects. This tool has demonstrated its full potential in ETL implementations, data quality projects, SAP ERP migrations and proof of concept with great results and complete compliance from the users.
- The ETL construction process its very easy. Its ease of use and the fact that the design of the processes is completely graphic makes its learning process very fast.
- Support on ETL Migration.
- Data Quality Projects.
- Metadata Administration.
- Its connectivity capabilities with different database platforms, applications and cloud systems are excellent and has been growing with the evolution of the different versions.
- New connectivity options for cloud solutions must be added.
- Avoid dependency from flash in Information Steward scorecard.
- More connectivity options for hadoop distributions.
SAP Data Services is the primary ETL tool for many of my clients. We use it to move, manage, and control data to meet reporting and analytics needs. Paired with SAP HANA, we quickly aggregate data into a central data lake for centralized batched reporting.
- Repetition of the same extract or transform for different needs. We can use variables to use the same ETL job for different types of aggregations.
- Reliability of the jobs through the use of audit features. We can add audit gates to check for table counts and automatically send out notifications and alerts.
- Heavy processing is required to run the standard transformations. We get around this by creating custom SQL transforms, but lose insight when we take this approach.
- Delta loading is possible but sometimes difficult. It sometimes requires customization that creates maintenance issues.
October 18, 2018
Faster deployment times with higher data accuracy
Data Services is used mainly within IT to migrate data from our legacy system into SAP ERP. DS is used for selection, enrichment, validation and transfer of data.
- Integration with SAP ERP/ECC works really well.
- A lot of flexibility in data creation, with different types of communication capabilities like BAPIs, IDocs, and Batch input.
- Reliable and consistent results and easily enforceable data templates.
- Initial setup of rules requires more technical expertise than master data management teams are typically used to.
October 18, 2018
Review from a new user
Data Services is used to extract, transform and load data from/to various sources such as Text files, Excel sheets, CSV files and SAP HANA tables. It is used by the IT department. It is used to address various types of business problems such as loading vendor details, cost information, customer data, material descriptions, etc.
- Extracting data from various types of data sources
- Transforming data using joins, functions, look ups, etc.
- Loading data into different kinds of targets
- Debugging is not very easy. When one wants to see the flow of data from one Query to another, the process is not very smooth and efficient.
- A lot of functions do not behave the way they should. I have faced problems with the count() function.
- I have faced problems while loading Excel files. The same set of options will work in one case but not in the other.
October 12, 2018
SAP Data Services review
SAP Data Services is used as an integration tool within the group BI solution. It is mainly used to load sources that do not support realtime replication.
- Loading files from landing area into the database.
- Integrating various sources with SAP HANA.
- Multi-developer environments.
- Loading of XML sources.
- Type two dimensions could be handled more elegantly.
- Importing HANA calcultation views into the datastore is not intuitive.
- Scheduler is very basic.