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SAP Data Services Reviews and Ratings

Rating: 8.8 out of 10
Score
8.8 out of 10

Community insights

TrustRadius Insights for SAP Data Services are summaries of user sentiment data from TrustRadius reviews and, when necessary, third party data sources.

Pros

Ease of Use: Users have found the ETL tool to be user-friendly for loading data from SAP and non-SAP systems into HANA. The straightforward graphical design facilitates a quick learning curve, making the process intuitive for users who may be new to such tools. This ease of use has led to increased efficiency in managing data integration tasks.

Functionality: Reviewers appreciated the tool's functionality in creating workloads for data cleansing, data quality, and integration tasks. The ability to interface with various scheduling tools further enhances its versatility and usability across different workflows. Additionally, the seamless connectivity with multiple database platforms and applications ensures a smooth integration process without technical hiccups.

Reliability: Some users highlighted the reliability of jobs through audit features integrated within the tool. By allowing audit gates to ensure data integrity checks and providing automated notifications and alerts, users can trust that their ETL processes are running smoothly and error-free. This reliability feature contributes significantly to maintaining data accuracy in the warehouse environment.

Reviews

9 Reviews

SAP Data Services

Rating: 8 out of 10
Incentivized

Use Cases and Deployment Scope

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.

Pros

  • 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.

Cons

  • Needs improvement on error descriptions. Some are too vague and require additional labor.

Likelihood to Recommend

For loading data in and out of HANA, this tool has been the best fit.

Data Service - Future

Rating: 6 out of 10
Incentivized

Use Cases and Deployment Scope

Maximize the value of all your organization’s structured and unstructured data with exceptional functionalities for data integration, quality, and cleansing.

Pros

  • cleansing
  • quality
  • data integration

Cons

  • Change Data Capture
  • Data Services Workbench
  • Cloud Platform Integration – Data Service (CPI-DS)

Likelihood to Recommend

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.)

My SAP Data Services Review

Rating: 8 out of 10
Incentivized

Use Cases and Deployment Scope

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.

Pros

  • Very easy to implement new ETL processes
  • Connectivity with SAP products

Cons

  • Spatial data support
  • Connectivity using SAP Cloud Platform

Likelihood to Recommend

In my opinion, SAP Data services is well suited to integrate data to any data warehouse from almost any data source. It lets you do it in an easy way using their graphical interface.

Vetted Review
SAP Data Services
4 years of experience

My SAP Data Services Review

Rating: 10 out of 10
Incentivized

Use Cases and Deployment Scope

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.

Pros

  • Integrate data from many data sources
  • ETL
  • Ensure data quality and data integrity in our data warehouse

Cons

  • SOAP Web service as target
  • Spatial data support
  • Extended DevOps capabilities

Likelihood to Recommend

In my opinion SAP Data Services is the best ETL data integration tool, especially if you have SAP products in your company. It has a graphical interface that let you implement ETL processes in an easy way.

Vetted Review
SAP Data Services
2 years of experience

SAP Data Services - A robust solutions for the ETL and Data Quality needs

Rating: 10 out of 10
Incentivized

Use Cases and Deployment Scope

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.

Pros

  • 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.

Cons

  • New connectivity options for cloud solutions must be added.
  • Avoid dependency from flash in Information Steward scorecard.
  • More connectivity options for hadoop distributions.

Likelihood to Recommend

This tool has demonstrated its full potential in both ETL implementations, data quality projects, SAP ERP migrations and proof of concept.

SAP Data Services is the best ETL tool when paired with an SAP HANA data lake

Rating: 10 out of 10
Incentivized

Use Cases and Deployment Scope

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.

Pros

  • 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.

Cons

  • 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.

Likelihood to Recommend

It's definitely one of the leading ETL tools, and it's the best ETL tool to use with SAP integration. If you use SAP HANA, then you should think about Data Services as your primary ETL tool.

Faster deployment times with higher data accuracy

Rating: 10 out of 10
Incentivized

Use Cases and Deployment Scope

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.

Pros

  • 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.

Cons

  • Initial setup of rules requires more technical expertise than master data management teams are typically used to.

Likelihood to Recommend

DS is extremely well suited for legacy data migration, enrichment, and validation. The large data volumes can easily be handled by the system and this reduces the deployment time, especially for SAP ERP. The error reports accurately provide problematic data and it is very easy to create organization-specific data validation rules.

Review from a new user

Rating: 8 out of 10
Incentivized

Use Cases and Deployment Scope

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.

Pros

  • Extracting data from various types of data sources
  • Transforming data using joins, functions, look ups, etc.
  • Loading data into different kinds of targets

Cons

  • 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.

Likelihood to Recommend

It is well suited when you want to extract data from a source supported by data services, to perform various transforms on that data (such as joins, look ups, applying functions, performing delta merge, etc.,) and also to further load the transformed data into the target. Data Services allows you to schedule the jobs as per your business requirement. Therefore, you can manage the loading of data into the target as per your needs.

I have faced issues in performing one time updates for historical data using Data Services. Map operation does not behave the way it should and therefore I would not recommend it for those scenarios.

SAP Data Services review

Rating: 8 out of 10
Incentivized

Use Cases and Deployment Scope

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.

Pros

  • Loading files from landing area into the database.
  • Integrating various sources with SAP HANA.
  • Multi-developer environments.
  • Loading of XML sources.

Cons

  • Type two dimensions could be handled more elegantly.
  • Importing HANA calcultation views into the datastore is not intuitive.
  • Scheduler is very basic.

Likelihood to Recommend

Data services is quite easy to learn for someone with previous ETL tool experience. You are able to publish web service jobs in data services which work quite well, however note that this consumes a large amount of memory. Template tables are a very nice feature which automatically creates target tables based on the input data. This makes rapid development of new source loads very efficient.

Vetted Review
SAP Data Services
5 years of experience