Allows rebuilding of failed disks in minutes instead of hours using declustered RAID and requires less raw capacity by using erasure coding instead of replication for data protection.
Consolidates storage for file, object and big-data workloads into a single storage pool and allows new applications using object or HDFS interfaces to still benefit from the simplicity of file data management.
Manage and gain insights from massive amounts of data
IBM Spectrum Discover is modern metadata management software that provides data insight for petabyte-scale unstructured storage. It connects to IBM Spectrum Scale or IBM Cloud Object Storage to rapidly ingest, consolidate and index metadata for billions of files and objects, enabling data scientists, storage administrators, and data stewards to efficiently management classify and gain insights from massive amounts of unstructured data.
True scale out capability
Scales performance, capacity, file and object linearly with automatic load balancing and avoids network-attached storage (NAS) performance bottlenecks by leveraging a parallel file system.
Global sharing and collaboration
Shares data across geographically distributed sites using unreliable networks and caches data from multiple remote sites and gains performance similar to local data using active file management (AFM).
Hadoop and Spark applications run natively using HDFS application programming interfaces (APIs). IBM ESS enables faster, more consistent data analytics by eliminating data movement and conversion into dedicated Hadoop storage and it combines multiple data sources into a single HDFS view as needed by the business.
Policy-based tiering and compression quality of service
Tiers data automatically between various tiers of storage, including tape and cloud, based on policies and reduces total cost of ownership by eliminating the need to purchase excess high-performance storage.
Integrated & modular
Enables quick deployment of the initial solution and additional blocks of storage as demands increase. IBM ESS is designed for high-availability and balanced to maximize throughput. Choosing ESS avoids the risks and complexity of other options and provides a single source of global support for hardware and software.
Fully certified by Hortonworks, the Elastic Storage Server all-flash solution is ideal for Hadoop, Spark and other Big Data Analytics workloads. With the ability to support file, object and HDFS, data management overhead is reduced and results are faster