HP, SAP unveil 'Project Kraken' single server test for big data

HP, SAP unveil 'Project Kraken' single server test for big data

Summary: The joint collaboration project from Hewlett-Packard and SAP effectively triples the amount of memory on a single server designed for processing big data.


SAP and Hewlett-Packard have shed light on a secret product in the works, which could reduce the amount of hardware needed to process big data while being more efficient at the same time.

Unveiled at the close of SAP Sapphire in Orlando this week, Project Kraken is the combination of HP's enterprise server technology with SAP's flagship HANA in-memory database.

The key point to know is that this server prototype effectively triples the amount of memory on a single but scalable server designed for processing big data.

Running on Intel's Xeon E7 processor family (also known as Ivy Bridge-EX), Project Kraken supports up to 12 terabytes of memory on a single server unit designed for processing complex big data workloads. The current industry standard is considered to be four terabytes.

Like most new enterprise technology products -- both hardware and cloud-related -- the goals are to improve business processes by simplifying the setup and reducing processing times.

Targeted towards a myriad of verticals ranging from government and healthcare to finance and retail, potential workloads include CRM, enterprise resource planning, and supply chain management.

Project Kraken is on display at Sapphire this week, but neither company has revealed when the analytics machine might go to market.

More from SAP Sapphire on ZDNet:

Topics: Enterprise 2.0, Big Data, Enterprise Software, Hewlett-Packard, SAP

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  • Google would love this

    But they probably build their own.
  • Sounds more like HP/SAP are on Krak(en)!

    This is yet another science project with no understanding of when such a system would/could/can be available, what the expected cost will be and how well it will perform? HP doesn’t have a great track record on delivering high end systems on time. Just look at where Itanium has ended up. Today, Oracles TimesTen in memory technology along with the #1 leading Oracle DB run incredibly well on Oracles latest, and currently worlds fastest SPARC T5 and SPARC M5 systems recently announced, that support up to 32TB of RAM, almost 3x what this future science project is expected to support. And while SPARC has a 25-year history in mission critical computing, the question is, can you bet on an x86 architecture for running your mission critical database with high availability? Doesn’t seem to have any mention of this, nor performance?