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DAOS

Free#21 of 30 in Software-Defined Storage SoftwareObject Storage ServicesStorage Replication Software

DAOS: A specialized open-source storage platform for demanding AI, HPC, and analytics workloads. Ranked #21 of 30 in Software-Defined Storage Software by our editors (7.1/10); pricing: Open source; best for high-performance research and AI storage.

7.1/10Editor score
DAOS7.1 Visit DAOS

At a glance

  • Editor score
    7.1 / 10
  • Pricing
    Open source
  • Best for
    High-performance research and AI storage
  • Paid from
    None
  • Deployment model
    Hybrid
  • Facts checked
    21 Sep 2026
DAOS screenshot
  • Where it wins

    • Supports key-value, POSIX, HDF5, MPI-IO, and S3 interfaces
    • Combines replication, erasure coding, checksums, and online rebuild
    • Integrates with Kubernetes, Spark, Hadoop, TensorFlow-IO, and Lustre
  • Where it doesn't

    • Requires Linux storage nodes with SCM and NVMe media
    • Its breadth is focused on specialized AI, HPC, and analytics workloads
    • Infrastructure deployment is less suited to conventional SaaS buyers

Our verdict on DAOS

DAOS is an open-source, software-defined scale-out object store for high-performance computing, artificial intelligence, simulation, analytics, and machine-learning workloads. It is designed for organizations that need storage close to demanding compute environments, including research teams, AI infrastructure groups, and HPC operators. DAOS supports hybrid deployment across on-premises and cloud environments, with applications connecting through native APIs and middleware rather than through a conventional SaaS interface.

Its strongest advantage is protocol and workload breadth. The platform combines a native key-value interface with POSIX file and directory emulation, HDF5, MPI-IO, and S3 API access. That makes it suitable for applications with different storage patterns, while integrations with Apache Spark, Apache Hadoop, TensorFlow-IO, and Lustre extend its fit across data processing, machine learning, and parallel file-system environments. Kubernetes service integration also supports containerized deployments. For data protection and operational continuity, DAOS includes replication, erasure coding with online rebuild, end-to-end integrity checks, distributed transactions, automated recovery, snapshots, cloning, access controls, and authentication.

DAOS is a focused infrastructure choice rather than a general-purpose business storage service. Its Linux storage-node model and support for SCM and NVMe media align with performance-sensitive environments, but they also create a more specialized deployment profile than products aimed at simpler file sharing or managed cloud storage. Organizations evaluating DAOS should have a clear need for high-throughput research, AI, simulation, or analytics workloads and the operational capability to manage software-defined storage. Teams seeking a ready-made SaaS experience, broad business collaboration features, or a simpler storage appliance should consider a more conventional alternative.

DAOS pricing

Plans Open sourceFree Free to use — no paid tier required for the core job.
See plans on daos.io

DAOS fact sheet

Free planNot verified
Paid fromNone
Deployment modelHybrid
Storage protocolskey-value, POSIX, HDF5, MPI-IO, S3 API
Maximum nodesNot verified
ReplicationYes
Erasure codingYes
Kubernetes supportYes
S3-compatible accessYes
DeploymentCloud, Self-hosted
PlatformsLinux
SupportEmail, Community, Docs
Built forMid-market, Enterprise (editorial estimate)
Integrations7 integrations: POSIX, MPI-IO, HDF5, Apache Spark, Apache Hadoop, TensorFlow-IO …
PricingOpen source
Websitedaos.io
Facts checked21 Sep 2026

DAOS integrations

DAOS lists 7 integrations on its own site.

  • POSIX
  • MPI-IO
  • HDF5
  • Apache Spark
  • Apache Hadoop
  • TensorFlow-IO
  • Lustre

Alternatives to DAOS

See all DAOS alternatives →

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Featured on iTechGuides

Featured on iTechGuides — DAOS 7.1/10

DAOS is listed in our Software-Defined Storage Software directory. Add the badge to your site — it links back to this page.

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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

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