2 Tests performed using HSE v1.7.0 vs RocksDB v6.6.4 using YCSB v0.17.0 and four Micron 5210 SSDs with and without an X100 SSD. Data represents the performance from YCSB Workload A tests.
Micron’s unique open source HSE was designed to maximize the capabilities of new storage technologies by intelligently and seamlessly managing data among multiple storage classes. The result is significantly improved performance, increased drive endurance and decreased latency — even under the crushing burden of massive-scale deployments. Once again, Micron is moving up the stack to deliver even higher value.
Get started developing at www.github.com/hse-project or optimize MongoDB for flash and SCM with HSE.
Overcome HDD-based architectures to improve throughput up to six times, latency up to 11 times and SSD endurance by seven times when compared to one leading open source storage engine1. Most storage engines, and therefore most storage applications, were written for hard drives and never optimized for SSDs, flash-based technologies or storage class memory. HSE offers a way to maximize those legacy applications.
Many applications struggle to scale enough for today’s largest workloads. HSE is designed with massive-scale databases in mind, such as billions of key counts, terabytes of data, and thousands of concurrent operations. Integration with MongoDB, the world’s most popular NoSQL database, delivers significant performance improvements, reduces latency and takes full advantage of modern memory and storage technologies. It can also be integrated with other storage applications like NoSQL databases and object stores.
Few enterprise applications optimize across the complex stack of different nonvolatile memory hardware. HSE transparently exploits multiple classes of media — from QLC 3D NAND flash to 3D XPoint™ technology. When a Micron X100 NVMe™ SSD is added to a set of four Micron 5210 QLC SSDs, throughput more than doubles and read latency improves nearly four times.2