by Angela Guess

A recent press release reports, “Huawei partners with Alluxio to announce the release of their big data storage acceleration solution, integrating Huawei’s FusionStorage with Alluxio’s memory-speed virtual distributed storage system. This solution realizes unified data management, improves data analytics performance and popularizes the adoption of big data applications in the enterprise. Problems with traditional big data solutions include a lack of data redundancy technology for enterprises and consumption of storage resources that are triple that of the data volume to ensure data availability, leading to lasting high total costs of ownership (TCO) for big data systems. Legacy systems spend too much time importing PB-level data into a data analysis system, which impacts overall efficiency. In addition, traditional big data analysis systems are usually independent from an enterprise’s IT environment, which could easily lead to new data silos. Conventional big data solutions are often not compatible with numerous new big data analysis systems.”

The release continues, “Jointly released by Huawei and Alluxio, this big data storage acceleration solution combines FusionStorage — an EB-level data storage pool that unifies data management and provides on-demand data services for production big data systems while avoiding data migration, with Alluxio — a memory speed virtual distributed storage system that provides tremendous performance benefits and seamless interconnection capabilities with different big data computing engines. Storage utilization is doubled through FusionStorage dynamic data tiering plus hot and cold data tiering, achieving service transparency through distributed erasure coding technology. This big data storage acceleration solution is expected to improve data analytics performance by 10X and lower TCO by 30%.”

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Photo credit: Huawei