Road Map: SAP HANA

Twitter, Facebook, and the like have shown how it’s done: Users upload images, comment on them, and exchange messages. It’s as if they were communicating face-to-face – or, you might say, in real time.

Real-time data processing is playing an increasingly important role in the world of business, as well, and the amounts of information involved are growing along with it.

Luckily, hardware and software technology has also continued to advance in recent years – blade servers featuring multicore architecture and RAM-based storage solutions encompassing two terabytes or more being just a few examples. On the software side, column-oriented storage now offers a new way to compress and partition data. Users can apply this method to reduce large data volumes from 2.75TB to 600GB, to name a simplified example.

In-memory technology, meanwhile, makes it possible to process data at a speed of 100GB per second. It does so by storing information not on conventional, significantly slower hard drives, but in main memory (RAM), where it can be accessed directly on the motherboard. In-memory computing thus enables users to perform analyses and obtain the results almost instantaneously.

SAP HANA is preconfigured in-memory software that users can implement in combination with corresponding server hardware from providers such as HP, IBM, Cisco, Dell and Fujitsu. The solution comes pre-loaded from the hardware partner with SAP HANA and SUSE Linux, ready to go.

For more on SAP HANA current capabilities, check out these articles:

SAP HANA: Family-Size Data at Two-Seater Speed
SAP HANA Surges Ahead
Hasso + HANA = Speed

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