Best Software-Defined Storage (SDS) for VMware Cloud

Compare the Top Software-Defined Storage (SDS) that integrates with VMware Cloud as of October 2025

This a list of Software-Defined Storage (SDS) that integrates with VMware Cloud. Use the filters on the left to add additional filters for products that have integrations with VMware Cloud. View the products that work with VMware Cloud in the table below.

What is Software-Defined Storage (SDS) for VMware Cloud?

Software-defined storage (SDS) is a data storage solution architecture whereby the hardware that handles the data storage is independent of the software layer of the storage system. Compare and read user reviews of the best Software-Defined Storage (SDS) for VMware Cloud currently available using the table below. This list is updated regularly.

  • 1
    StoneFly

    StoneFly

    StoneFly

    StoneFly is the provider of high-performing, elastic and always available IT infrastructure solutions. Coupled with StoneFusion, our intelligent & patented operating system architecture, we can support your data dependent processes and applications seamlessly anywhere, anytime. Configure backup, replication, disaster recovery, scale out block, file and object storage in private and / or public clouds. Support virtual, container hosting & more. StoneFly also offers Cloud data migration services for email, archives, documents, SharePoint and physical and virtual storage. Total backup and disaster recovery solutions in a single appliance or cloud solution. Hyperconverged options allow physical machines to be restored as virtual machines running directly on the StoneFly disaster recovery appliance for instant recovery.
    Starting Price: $499
  • 2
    QxStor
    Cloud native technology has been highlighted in modern cloud infrastructure design for its light weight and high portability. It also achieves efficient development and operation (DevOps), thereby facilitating agile service deployment and business innovation. To accelerate cloud-native transformation at minimized expenses, QCT validated the Red Hat® OpenShift Container Platform and Kubernetes Platform to ensure high-quality service and performance. QCT QxStack with Cloud-Native Platform is a Platform as a Service (PaaS) solution built on the Red Hat® OpenShift® Container Platform and strengthened by Intel Enhanced Platform Awareness (EPA) technology. The production-ready performance-optimized solution features a Hyper Converged Infrastructure (HCI) architecture that supports VMs and container coexistence and allows resource sharing. Furthermore, with exceptional network performance and stability, the solution achieves ideal CAPEX and OPEX in all stages of new technology implementation.
  • 3
    Lightbits

    Lightbits

    Lightbits Labs

    We help our customers achieve hyperscale efficiency and cost savings for their own private cloud or public cloud storage as a service offering. With our software-defined block storage solution, Lightbits, customers scale their business effortlessly, accelerate IT operations, and reduce cost – at the speed of local flash. Break the dependency between compute and storage to allocate resources independently to bring the flexibility and efficiency of the cloud on-premises. Deliver low latency and high performance while guaranteeing high availability for your distributed databases and cloud native applications such as SQL, NoSQL, and “in memory”. With the constant growth of data in the forever available data center, one of the critical challenges is that applications and services running at scale must stay stateful as they migrate around the data center in order to keep services available and efficient in the presence of constant failures.
  • 4
    Sangfor aStor
    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.
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