Best Software-Defined Storage (SDS) for Amazon S3

QuantaStor is a unified Software-Defined Storage platform designed to scale up and out to make storage management easy while reducing overall enterprise storage costs. With support for all major file, block, and object protocols including iSCSI/FC, NFS/SMB, and S3, QuantaStor storage grids may be configured to address the needs of complex workflows which span sites and datacenters. QuantaStor’s storage grid technology is a built-in federated management system which enables QuantaStor servers to be combined together to simplify management and automation via CLI and REST APIs. The layered architecture of QuantaStor provides solution engineers with unprecedented flexibility and application design options that maximizes workload performance and fault-tolerance for a wide range of storage workloads. QuantaStor includes end-to-end security coverage enabling multi-layer data protection “on the wire” and “at rest” for enterprise and cloud storage deployments.

OpenIO is a software-defined open source object storage solution ideal for Big Data, HPC and AI. With its distributed grid architecture and unique self-learning ConsciousGrid™ technology, OpenIO scales easily without mandatory data rebalancing, while delivering consistent high performance. OpenIO is S3 compatible and can be deployed on-premises or cloud-hosted, on any hardware that you choose. Scale seamlessly from Terabytes to Exabytes. Simply add nodes to expand capacity, without rebalancing data, and watch as performance increases linearly. Transfer data at 1 Tbps and beyond. Experience consistent high performance, even during scaling operations. Ideal for capacity-intensive and challenging workloads. Use servers and storage media that suit your evolving needs. Avoid vendor lock-in. You can combine heterogenous hardware at any time, of different specs, generations, and capacities.

Sangfor aStor is a software‑defined storage solution that unifies block, file, and object storage into a single, elastically expandable resource pool using a fully symmetrical distributed architecture, enabling on‑demand allocation of high‑performance and cost‑optimized, large‑capacity tiers to suit diverse service requirements. Available as either integrated hardware‑software or standalone software, it scales from just three commodity x86 nodes and supports cloud‑scale clusters of thousands of nodes with EB‑level capacity expansion. Its multi‑node parallel processing and intelligent caching (using RDMA, SSD hot‑data cache, and layering) deliver extremely high throughput, IOPS, and small‑IO performance, boosting cache hit rates to 90% and small‑IO handling by up to 65%, while distributed metadata management ensures jitter‑free handling of billions of files.