- The heterogeneous-memory storage engine (HSE) reduces latency, especially for large-scale data sets, through intelligent data placement
- The platform has been designed to be extensible to new interfaces and new storage devices
Micron Technology has announced the first open-source, heterogeneous-memory storage engine (HSE). It has been designed specifically for solid-state drives (SSDs) and storage-class memory (SCM). The company said that HSE is ideal for developers using all-flash infrastructure who require the benefits of open-source software. It includes the ability to customize or enhance code for unique use cases.
Derek Dicker, corporate vice president and general manager of the storage business unit at Micron said, “As the only company developing storage class memory, flash, and DRAM technologies, Micron is uniquely positioned to build a software stack that accelerates applications running in today’s flash-based storage environments as well as storage class memory-based infrastructure of the future. We have delivered a first-of-its-kind innovation for open-source storage developers, unlocking the full potential of high-performance storage applications.”
The company said that HSE reduces latency, especially for large-scale data sets, through intelligent data placement. It reduces latency 11 times and improves SSD endurance by seven times. HSE can also make use of multiple classes of media concurrently like flash and 3D XPoint technology.
Stefanie Chiras, vice president and general manager of Red Hat Enterprise Linux at Red Hat said, “We see enormous potential in the technologies being introduced by Micron, especially as it takes an innovative approach in lowering the latency between compute, memory and storage resources. We look forward to working with Micron in the open-source community to further build out these innovations, ultimately bringing new choices to the storage world derived from open standards and concepts.”
Integrated with MongoDB
The Heterogenous-Memory Storage Engine can be integrated with MongoDB. It is suitable when performance at scale matters, including very large data size, large key counts (billions), high operation concurrency (thousands), or deployment of multiple classes of media.
The platform has been designed to be extensible to new interfaces and new storage devices. This enables use with a broad range of applications and solutions, including databases, internet of things (IoT), 5G, artificial intelligence (AI), high-performance computing (HPC), and object storage.
HSE is also capable of delivering additional performance for software-defined storage like Red Hat Ceph Storage and Scality RING. It enables cloud-native applications through containerized platforms like Red Hat OpenShift and tiered performance for file, block and object storage protocols for multiple use cases.