Case Study SAP HANA Accelerating business with In-Memory transactions Businesses must make smart decisions to stay ahead of the competition. One wrong decision can set a company back months. To reduce risk, businesses have turned to data analytics to examine the variables of their products, customers, partners, and even regulatory and environmental influences to make informed decisions. But the glut of data is overwhelming and the rate of change is beyond the ability of legacy processing systems to keep up. Delayed analysis makes getting current information nearly impossible: there’s so much to gather and analyze that results can be outdated before they come in. Increasing volumes of data plus growing numbers of data sources combine with ordinary processing methods to result in high information latency. That means: • Poor Visibility: planning based on outdated info • Low Agility: suboptimal execution of business plans • Missed Opportunities: “delayed reaction” business model WARP Mechanics and SAP, providers of business intelligence platforms, have developed an advanced system for business analytics that reduces the overhead of transaction processing to deliver actionable information to decision makers. SAP HANA, the high performance analytic appliance, processes massive amounts of real time data in memory to provide immediate results from analysis, regardless of what data sources are involved. This system uses data compression and partitioning with realtime capture, insert on delta, and replication, to streamline dataflows. The WARP MemoryMatrix appliances provide the lowlatency persistent memory storage for unprecedented performance and scalability not found in legacy storage systems, at a price point other solidstate providers can’t match. Inmemory computing, plus datasource independence, plus gigabytes of high IOPS throughput overcomes the delays of legacy analytics engines. This provides: • Realtime Information: current information for the best planning • Agile Performance: simulate decisions on the fly based on actual data • Competitive Advantage: optimized focus and effective spending Performance The HANA InMemory Computing Engine software bundled with WARP Mechanics hardware includes tools for data modeling and life cycle management, security, and operations, and supports multiple interfaces to extract value from any data source and send to any data consumer. Inmemory computing executes all transactions, transformations, and complex data processing. All applications (ERP and BW) run on data residing inmemory and operations work on data in real time. But to accomplish realtime reliable operations, the system requires persistent storage as well as RAM. The HANA persistency layer leverages the power of the WARP MemoryMatrix appliance: a scalable allSSD system that can deliver over 1M IOPS and over 100Gbps of network throughput per 4u shelf. Business Intelligence Challenge Overcome information latency resulting from increased volumes of data, the variety and types of data sources, and delays in calculation speed to process massive amounts of real time data, and provide immediate results from analysis and/or synchronous transactions. Solution WARP Mechanics “MemoryMatrix” storage appliances combined with the power of SAP HANA bring the perfect mix of performance and scalability to business intelligence. RDMA access to pure SSD arrays allows the WARP platform to provide superior throughput and latency, while offloading the CPUs of attached systems. WARP appliances allow greater density for SAP HANA environments because they are built on WARP’s super computing class platforms. Results An SAP HANA cluster running on WARP Mechanics processes massive quantities of real time data at memory speeds, with an affordable price. This results in effective CapEx spending, while supporting business intelligence simulation of multiple variables in real time.