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Head-to-head · Distributed File System Software

PowerScale OneFS vs Hadoop Distributed File System

  • Updated Sep 2026
  • Both researched from official sources
  • 3 checks side by side
Higher score PowerScale OneFS #2 in Distributed File System Software 8.2/10 Pricing on request ✓ 3 of 3 features Try PowerScale OneFS
Hadoop Distributed File System #4 in Distributed File System Software 7.4/10 Open source ✓ 3 of 3 features Visit Apache Hadoop

PowerScale OneFS leads on 0 checks, Hadoop Distributed File System on 0, and 3 are even. Who comes out ahead on the 3 yes/no, price and count checks where we have data for both products. The editor score weighs everything else too.

Our verdict

  • Highest scorePowerScale OneFS · 8.2/10

PowerScale OneFS scores higher on our rubric for distributed file system software: 8.2 against 7.4 out of 10; our editors rank them #2 and #4.

On deployment model, PowerScale OneFS gives you Hybrid where Hadoop Distributed File System offers Self_hosted.

PowerScale OneFS is the better fit for enterprise scale-out file infrastructure. Hadoop Distributed File System is the better fit for hadoop environments needing mature distributed blocks.

  • PowerScale OneFS fits best

    Enterprise scale-out file infrastructure

  • Hadoop Distributed File System fits best

    Hadoop environments needing mature distributed blocks

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Side by side

Feature PowerScale OneFS 8.2/10 Visit ↗ Hadoop Distributed File System 7.4/10 Visit ↗
At a glance
Editor score 8.2 7.4
Ranking #2 in Distributed File System Software #4 in Distributed File System Software
Best for Enterprise scale-out file infrastructure Hadoop environments needing mature distributed blocks
Pricing model Paid Free
Starting price Not published Not published
Free plan Not published Not published
Free trial — —
Deployment Cloud, Self-hosted Self-hosted
Support Docs Docs
Built for Enterprise Mid-market, Enterprise
Features PowerScale OneFS 3/3 · Hadoop Distributed File System 3/3
Data replication ✓ ✓
Multi-site support ✓ ✓
Encryption at rest ✓ ✓
Specs
Deployment model Hybrid Self_hosted
File access protocols NFSv3, NFSv4, NFSoRDMA, SMB1, SMB2, SMB3, HTTP, FTP, NDMP, SNMP, LDAP, HDFS, S3, ADS, NIS Java API, C API, REST API, HTTP browser, NFS gateway, FS shell
Maximum nodes Not published Not published
Our review
Pros
  • Global namespace across clustered storage nodes
  • Broad support for file, object, analytics, archive, and cloud workflows
  • Replication, failover, snapshots, deduplication, tiering, and encryption
  • Rack-aware replication and automatic re-replication support fault tolerance
  • Federation, snapshots, and NameNode high availability expand cluster options
  • Java, C, REST, browser, NFS, and shell access support varied workflows
Cons
  • Contact-sales pricing can make budgeting less direct
  • Designed for PowerScale platforms or software-defined AWS deployments
  • Its broad feature set is more than smaller file environments may need
  • Designed for high-throughput batch access rather than low-latency interactive use
  • Self-hosted deployment requires managing NameNodes, DataNodes, and cluster operations
  • Encryption zones require Hadoop KMS and the broader Hadoop environment
Our verdict

PowerScale OneFS is Dell Technologies’ distributed file system for PowerScale scale-out NAS platforms. It creates a single file system and global namespace across clustered storage nodes, making it suitable for enterprise file, object,…

Read the review →

Hadoop Distributed File System (HDFS) is an open-source, self-hosted distributed file system for storing and accessing large datasets across clusters of commodity machines. It separates filesystem metadata on NameNodes from block storage…

Read the review →
  1. PowerScale OneFSDistributed File System Software 8.2Pricing on request
  2. Hadoop Distributed File SystemDistributed File System Software 7.4Open source

Strengths and trade-offs

  • PowerScale OneFS — where it wins

    • Global namespace across clustered storage nodes
    • Broad support for file, object, analytics, archive, and cloud workflows
    • Replication, failover, snapshots, deduplication, tiering, and encryption

    Where it doesn't

    • Contact-sales pricing can make budgeting less direct
    • Designed for PowerScale platforms or software-defined AWS deployments
    • Its broad feature set is more than smaller file environments may need

  • Hadoop Distributed File System — where it wins

    • Rack-aware replication and automatic re-replication support fault tolerance
    • Federation, snapshots, and NameNode high availability expand cluster options
    • Java, C, REST, browser, NFS, and shell access support varied workflows

    Where it doesn't

    • Designed for high-throughput batch access rather than low-latency interactive use
    • Self-hosted deployment requires managing NameNodes, DataNodes, and cluster operations
    • Encryption zones require Hadoop KMS and the broader Hadoop environment

More comparisons

All distributed file system software comparisons → · Full ranking →

Reviewed by iTechGuides Editors · Editorial team · Updated Sep 2026

Last updated · How we research and update