SAP HANA SPS 10 continues the transformative SAP HANA in-memory platform. Enhancing the SAP HANA SPS 09, they have actually focused on innovation. Now they have development on the areas of running mission-critical applications with confidence, getting in touch with the Internet of Things (IoT) at enterprise scale and security, and flawlessly processing big data at speed to enable their clients to innovate next-generation applications.


Application & Industry Platform

SAP HANA SPS 10 presents a number of essential high availability and disaster recovery enhancements, such as 1-to-n asynchronous table replication, streamlined log based replication, boosted auto-host failover for dynamic tiering, and new incremental and differential backup features. These capabilities further lower replication and reboot times and establish SAP HANA as a rock-solid platform for running mission-critical applications that need business continuity. In addition, in the location of work management we are including new workload classes to more refine resource allotment for users and/or applications for optimum work prioritization and resource usage.

NUMA awareness capabilities within SAP HANA can also be extended with architecture to improve in-memory processing of very large memory and large varieties of CPU cores with a single node. The foundation is being laid to make it possible for a gain from 12TB+ with greater than 300+ CPU cores scale up setups and process even larger data volumes in scale-up setups and within large nodes in scale-out setups.


As you would already understand, SAP HANA consists of detailed administration abilities through the SAP HANA Studio administration viewpoint, the web-based SAP HANA Cockpit and the SAP DB Control Center. With SAP HANA SPS 10, administration has been substantially streamlined so that DBAs can carry out setups, upgrades, backups, system duplication, function projects and certification management from anywhere. In addition, SAP HANA Cockpit/SAP DB Control Center have actually been further reached clarify the administration of multitenant database containers, dynamic tiering, smart data streaming and remote data sync. With these improvements we are more lowering the administration effort to handle complex landscapes and the use of lots of configurations within a single SAP HANA Landscape.


SAP HANA SPS 10 also presents a large number of new data processing capabilities that support innovative and varied data processing. For spatial processing, it adds support for spatial multi-dimensional data types, allowing you to include complex data processing and interesting visualizations to business applications; for example, being able to process and view the height, width, and length of a pipeline within an asset management application. It also provides extensions to XS’s core data services (CDS) to streamline application development with Open Geospatial Consortium (OGC) compliance spatial functions for self-governing applications and to ensure interoperability with other SAP and 3rd party geo-spatial items.

In addition, SAP HANA SPS 10 provides effective time reliant hierarchy processing to build more complex hierarchy data based applications such as human resources application with organization charts and material management with BOMs where information is very time dependent and driven. Also new are 7 new PAL algorithms that will certainly be enhanced the 60+ algorithms currently provided with SAP HANA SPS 09.

Finally, SAP HANA application developers will benefit from a number of effective new capabilities; such as GitHub integration, new computation viewer editor functions, Application Function Modeler, modeling abilities and SQLScript debugging feature, in the SAP HANA web-based development workbench.


Big Data & Internet of Things

The new SAP HANA remote data sync ability launched as part of SAP HANA SPS 10 supports synchronizing data in between SAP HANA in the enterprise with thousands of databases at the edge of the network so that you can proactively act based upon the current information and close the notoriously challenging last mile concerns. This enables you to send out enterprise data out to remote devices to help field devices and employees be more efficient. In addition, you can gather IoT data from remote devices, which can then be analyzed with business data in SAP HANA to support applications like predictive maintenance. With the offline operation mode, not just will mobile users be more productive, however also remote business operations like oilrigs, trains and ships that can continually run in spite of sporadic network connections. If you run one of the 12M+ existing SQL Anywhere (including UltraLite) setups, you can quickly integrate your remote databases with SAP HANA using SAP HANA remote data sync.

SAP HANA SPS 10 also brings a wealth of new abilities for data streaming. Initially, extending the SAP HANA SPS 09 functions for streaming, new functions for SAP HANA smart data streaming will enable you to support high event volumes and communicate with thousands of IoT devices over HTTP/REST and WebSocket procedures. Second, a new lightweight streaming processor, “Streaming Lite”, which can be deployed on remote devices and IoT gateways can preprocess occasions and generate local notifies based upon business rules, before sending out events to SAP HANA using the smart data streaming element.

Considerable improvements have been made to Series Data abilities to supply more abilities to store data with greater efficiency to aid customer handle very high volume sensor throughput. On the Series Data processing enhancements have actually been made in supporting more complex processing needs such as integrating purchased and less purchased jittered sequences of data points and measurements and processing data with various time calendars and time zones. This is the fundamental technology for IoT. With SAP HANA SPS 10, series data processing is even more boosted with enhanced compression, new processing functions and core data services (CDS) support for much better resource utilization, improved forecasting and faster application development.

On the Big Data integration front, we have expanded SAP HANA smart data integration capabilities in SAP HANA SPS 10. For example, we included new adapters and bi-directional data duplication to connect with external data sources. To much better utilize Hadoop integration, SAP HANA SPS 10 deals with the current Hadoop distributions and provides quicker enhanced data transfers to and from Spark SQL. Administrators can now manage HANA and Hadoop clusters using a single UI through the SAP HANA cockpit and Apache Ambari integration. In addition, new rule-based data movement between HANA and Hadoop allow you to harness the power of Big Data with confidence. Finally, SAP HANA smart data quality capabilities will certainly be used to clean data and combine duplicates permitting higher confidence and compliance in all of your enterprise data.


Cloud Enablement

In SAP HANA SPS 10, the multitenant database containers feature includes support for dynamic tiering and smart data streaming by occupant. Extra enhancements consist of boosted features for cross renter data sharing, occupant seclusion to the OS level, administration through the web-based SAP HANA cockpit/ SAP DB Control Center. These new improvements enable you to run next generation applications that process huge data volumes and stream data on independent database tenants more safely and with a streamlined administration.



SAP HANA is a standards-based open platform and with SPS 10, it expands the scope of supported software and hardware options. On the hardware front, now supported is IBM POWER8 systems on SUSE Linux for SAP BW on HANA, and Intel Haswell processors with TSX which considerably enhancements transactional processing by approximately 6x. For data center and cloud virtualization, support for VMware vSphere 5.5 in scale-out deployments (in controlled accessibility), along with IBM and Hitachi Data Systems (HDS) Logical Partitioning (LPAR) are included.

The SAP HANA certification program has actually also been broadened. We added a new accreditation program to permit you to securely run your own algorithms inside the database using AFL framework. In addition, we have actually also considerably grown the list of HANA-certified hosting service providers, resellers, third-party applications and third party tools, such as BI SQL/MDX clients, ETL tools, backup and monitoring tools, synchronous storage-based mirroring solutions.



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