Everyday the world creates 2.5 quintillion bytes of data. Humans are generating some of this data, but the explosion of digital data is machine-generated data from devices of all types, such as satellites, sensors, surveillance cameras, GPS traces, and online informatics. Far from the traditional payroll application with one data type, Big Data working sets comprise many formats.
Big Data applications are designed to handle large sets of unstructured data more efficiently than a traditional structured query language to quickly extract value from the data. The demands on CPU processing tend to favor scale-out infrastructure that delivers cost-effective CPU and RAM scaling. The I/O system, however, can quickly become a bottleneck since the size and make-up of Big Data working sets present heavily random analytic workloads.
Fusion ioMemory uniquely delivers the consistent low latency and high bandwidth performance required by Big Data applications. The Fusion-io Direct Path architecture treats PCIe flash as a memory device to eliminate the latency and failure modes of commodity solid-state disks. As a result, Fusion ioMemory is widely deployed with Big Data applications where users can access cold-records nearly as quickly as hot-records for the most consistent performance.
Learn how Fusion-io accelerates common big data applications: