IBM Power: Store and Process Massive-Scale Graphs in Real Time
Neo4j on IBM POWER offers large extended memory, drastically increasing the size at which real-time graph queries are possible.Contact Us about IBM POWER
Large Extended Memory
Scale Up and Out
Neo4j on IBM POWER offers large extended memory, drastically increasing the size at which real-time graph queries are possible.
Real-time graph processing with Neo4j on IBM POWER supports both standard operational requirements and analytic insights that normally require offline processing.
IBM POWER hardware allows Neo4j to scale both up and out for graphs of greater size than ever before.
Video: Large-Scale Graph Processing with IBM Power Systems & Neo4jKeshav Ranganathan, Senior Offering Manager, IBM discusses the value of graph databases and how when coupled with IBM Power Systems, together they enable unique scaling, performance and price-performance advantages for connected data. Watch Now
Neo4j + IBM POWER = The Perfect Solution
The combination of Neo4j’s native graph processing and storage and IBM POWER’s in-memory vertical scalability is a natural convergence. Neo4j on IBM POWER makes it possible to store and process massive-scale graphs in real time – a problem that was simply unsolvable only yesterday. Together, the strength and performance of Neo4j plus the scalability and speed of IBM POWER will provide unrivaled graph application performance.
IBM Power Systems
IBM Power Systems are specifically designed to capture and manage data from a variety of sources and put that data to work in your enterprise – including real-time graph processing. The IBM POWER8 provides up to 56 terabytes of extended memory space with CAPI (Coherent Accelerator Processor Interface) flash architecture, accommodating graphs of huge size and scale. IBM Power Systems built on POWER processors are optimized for a broad range of data workloads, including graph data. IBM Power Systems deliver cost-effective, high-performing and agile IT infrastructure so enterprises can leverage the most advantage from their diverse data sources.