Data Services Features
Learn about new features
Product road map
View our road map to explore your current options, as well as planned innovations and future features and functions to enhance your data intelligence capabilities.
Data Integration
Integrate, connect, and process structured or unstructured critical data from SAP or third-party sources within Big Data or enterprise solutions deployed on premise or in the cloud.
Gain access to your data anytime, anywhere
Support databases, applications, files, transports, and unstructured content across 31 languages by connecting to new or popular data sources. You can also tap into our partners’ expertise to access mainframe data sources and address captured data changes for certain sources.
Integrate tightly with SAP applications
Benefit from native access to SAP Business Suite applications. SAP Data Services understands the application model and accesses relevant metadata. Plus, it reads data based on programming languages, such as ABAP, IDocs, BAPI, RFC, and SAP extractors.
Interconnect with SAP Data Hub
Orchestrate data flows from SAP Data Services through the SAP Data Intelligence solution. This approach provides computing node and connector options.
Stay connected to third-party solutions
Receive native support for third-party data sources, including Microsoft SQL Server, IBM DB2, IBM Informix, Oracle, HP Vertica, MySQL, and Netezza. You can also support adapters for Apache Hive, HTTP, JDBC, JMS, MongoDB, and OData. Furthermore, Big Data and cloud support can be expanded with Microsoft Azure, Big Data Services, Impala, Cassandra, OData, and Apache Hive.
Optimise SAP Data Services for SAP HANA
Apply a built-in, intelligent optimiser that converts data flow with a choice of approaches: extract, load, and transform (ELT); a push down of all operations to the target database; or extract, transform, and load (ETL). With the ELT approach, SAP Data Services leverages the processing power of SAP HANA for maximum performance.
Fine-tune data replication and transformation
Take advantage of multiple and unique data capture mechanisms with replicate, transform, and load (RTL) concepts.
Gain access to your data anytime, anywhere
Support databases, applications, files, transports, and unstructured content across 31 languages by connecting to new or popular data sources. You can also tap into our partners’ expertise to access mainframe data sources and address captured data changes for certain sources.
Integrate tightly with SAP applications
Benefit from native access to SAP Business Suite applications. SAP Data Services understands the application model and accesses relevant metadata. Plus, it reads data based on programming languages, such as ABAP, IDocs, BAPI, RFC, and SAP extractors.
Interconnect with SAP Data Hub
Orchestrate data flows from SAP Data Services through the SAP Data Intelligence solution. This approach provides computing node and connector options.
Stay connected to third-party solutions
Receive native support for third-party data sources, including Microsoft SQL Server, IBM DB2, IBM Informix, Oracle, HP Vertica, MySQL, and Netezza. You can also support adapters for Apache Hive, HTTP, JDBC, JMS, MongoDB, and OData. Furthermore, Big Data and cloud support can be expanded with Microsoft Azure, Big Data Services, Impala, Cassandra, OData, and Apache Hive.
Optimise SAP Data Services for SAP HANA
Apply a built-in, intelligent optimiser that converts data flow with a choice of approaches: extract, load, and transform (ELT); a push down of all operations to the target database; or extract, transform, and load (ETL). With the ELT approach, SAP Data Services leverages the processing power of SAP HANA for maximum performance.
Fine-tune data replication and transformation
Take advantage of multiple and unique data capture mechanisms with replicate, transform, and load (RTL) concepts.
Data Quality
Provide a user-friendly experience
Accelerate time to deployment by designing, testing, debugging, editing, maintaining, running, and monitoring data integration and data quality from one interface, with one product, on one environment, and through one sign-on.
Deliver ready-to-use transformations
Interpret, standardise, correct, enrich, match, and consolidate your customer and operational information assets by extending existing capabilities with user-defined changes and customer functions.
Build trust in your data
Reveal a single version of the truth by defining and standardising your intelligence with built-in address and data cleansing features that uncover quality issues, expose hidden problems, and identify untapped relationships.
Provide a user-friendly experience
Accelerate time to deployment by designing, testing, debugging, editing, maintaining, running, and monitoring data integration and data quality from one interface, with one product, on one environment, and through one sign-on.
Deliver ready-to-use transformations
Interpret, standardise, correct, enrich, match, and consolidate your customer and operational information assets by extending existing capabilities with user-defined changes and customer functions.
Build trust in your data
Reveal a single version of the truth by defining and standardising your intelligence with built-in address and data cleansing features that uncover quality issues, expose hidden problems, and identify untapped relationships.
Data Profiling
Enable unlimited scalability and high availability
Design data services that run in a top-down, right-to-left manner to automate queries with multiple parallel threads. You can improve performance when executing the same job, whether in multiple parallel processes on one server or with multiple servers.
Treat your data as a high-value asset
Secure data access with a public key and maintain data relevance and relationships while keeping sensitive information confidential, anonymous, and compliant. You can support encryption, decryption, and masking as part of the regular transformation of the ETL process.
Enable unlimited scalability and high availability
Design data services that run in a top-down, right-to-left manner to automate queries with multiple parallel threads. You can improve performance when executing the same job, whether in multiple parallel processes on one server or with multiple servers.
Treat your data as a high-value asset
Secure data access with a public key and maintain data relevance and relationships while keeping sensitive information confidential, anonymous, and compliant. You can support encryption, decryption, and masking as part of the regular transformation of the ETL process.
Processing of Text Data
Unlock meaning from unstructured text data to increase business insights by supporting a wide variety of SAP and third-party information sources.
Extract and understand your unstructured texts
Pull insights from key entities, facts, relationships, sentiment, tokens, and linguistic artifacts by distilling unstructured documents from 220 different file and text formats, as well as semistructured data in 31 languages.
Extract and understand your unstructured texts
Pull insights from key entities, facts, relationships, sentiment, tokens, and linguistic artifacts by distilling unstructured documents from 220 different file and text formats, as well as semistructured data in 31 languages.
Enable smart data integration and smart data quality in SAP HANA
Data services enabled by SAP HANA
Migrate, integrate, cleanse, and process data in SAP HANA with SAP HANA smart data integration and SAP HANA smart data quality software.