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comparison guide self-hosted · · 10 min read

Rook vs Longhorn vs OpenEBS: Best Self-Hosted Kubernetes Storage 2026

Compare Rook Ceph, Longhorn, and OpenEBS — the top three self-hosted Kubernetes-native storage solutions. Installation guides, feature comparison, and recommendations for 2026.

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Editorial Team

Running stateful workloads on kubernetes requires reliable, performant, and self-managed persistent storage. While cloud providers offer managed block and file storage out of the box, self-hosted Kubernetes clusters need their own storage layer. That’s where CNCF-grade storage orchestrators come in.

In this guide, we compare the three leading self-hosted Kubernetes storage solutions: Rook Ceph, Longhorn, and OpenEBS. All three are open-source, production-ready, and widely deployed across bare-metal, edge, and on-premises environments.

As of April 2026, Rook leads with 13,400+ GitHub stars, OpenEBS follows with 9,700+ stars, and Longhorn has 7,600+ stars. All three are actively maintained with releases in the past week.

Why Self-Host Kubernetes Storage

Running your own storage layer on Kubernetes gives you:

  • Full data sovereignty — no third-party cloud provider has access to your data
  • Cost control — avoid egress fees and per-GB pricing from cloud block storage
  • Performance predictability — local NVMe and SSD-backed storage with no noisy neighbors
  • Disaster recovery — built-in replication and snapshots without vendor lock-in
  • Edge deployment — works in air-gapped environments and disconnected clusters

For teams running self-hosted Kubernetes distributions like k3s, k0s, or Talos Linux, a native storage layer is essential for running databases, message queues, and any stateful service.

Rook Ceph: Enterprise-Grade Storage Orchestration

Rook (13,467 stars) is a Kubernetes operator that automates the deployment and management of Ceph — the most mature distributed storage system in the open-source ecosystem. Rook handles everything from cluster bootstrapping to OSD provisioning, monitor failover, and data rebalancing.

Architecture

Rook runs Ceph daemons (monitors, OSDs, managers, metadata servers) as Kubernetes pods. The Rook operator watches for Custom Resource Definitions (CRDs) and reconciles the desired cluster state. Storage is exposed to workloads through three CSI provisioners:

  • RBD (RADOS Block Device) — block storage for ReadWriteOnce PVCs
  • CephFS — POSIX-compliant shared filesystem for ReadWriteMany PVCs
  • RGW (RADOS Gateway) — S3-compatible object storage

Key Features

  • Full Ceph stack: block, file, and object storage from a single cluster
  • Automatic data rebalancing and healing when nodes fail
  • Encryption at rest (LUKS) and in transit (mprometheuscol)
  • Built-in Prometheus metrics and Grafana dashboards
  • Supports erasure coding for efficient storage utilization
  • Multi-cluster stretched deployments for disaster recovery

Resource Requirements

Rook Ceph is the most resource-intensive of the three. A production cluster requires:

  • Minimum 3 nodes for quorum (monitors)
  • 4 CPU cores and 8 GB RAM per node (bare minimum)
  • 8 GB RAM and 4 CPU cores recommended per node
  • Raw block devices (disks) dedicated to OSDs — partitions also supported
  • SSDs for journals/WALs recommended for performance

Best For

Rook is ideal for teams that need enterprise-grade storage with block, file, and object capabilities from a single platform. It’s the choice for large-scale deployments, organizations already familiar with Ceph, and environments requiring S3-compatible object storage alongside block volumes.

For a broader look at distributed storage architectures, see our Ceph vs GlusterFS vs MooseFS comparison.

Longhorn: Simple, Cloud-Native Block Storage

Longhorn (7,653 stars), originally developed by Rancher Labs (now part of SUSE), is a lightweight distributed block storage system built specifically for Kubernetes. Unlike Rook, which wraps an existing storage system, Longhorn was designed from the ground up for container orchestration.

Architecture

Longhorn creates a dedicated storage controller and replica for each volume. Volumes are striped across nodes using a chain of synchronous replication. Each volume consists of:

  • Longhorn Engine — a controller process that manages the volume I/O path
  • Replicas — stored on nodes with available disk space, synchronously replicated
  • Manager — orchestrates volume lifecycle and health monitoring

This per-volume architecture means each volume has its own fault domain — a failure in one volume’s engine doesn’t affect others.

Key Features

  • Simple, intuitive web UI for volume management and monitoring
  • Automated backup to NFS or S3-compatible targets (see our Velero backup orchestration guide for cluster-level backups)
  • Recurring snapshots with automatic cleanup
  • Incremental backup with deduplication
  • Volume expansion without downtime
  • DR volume replication to a secondary cluster
  • iSCSI and NFS frontend support

Resource Requirements

Longhorn is lighter than Rook but still requires:

  • Minimum 2 nodes (3+ recommended for replication)
  • 2 CPU cores and 4 GB RAM per node for Longhorn manager
  • Directory-based storage (no dedicated disks required)
  • SSD recommended for replica directories

Best For

Longhorn is the best choice for teams that want simplicity and ease of operation. Its web UI makes storage management accessible to operators who aren’t storage specialists. It’s widely used in Rancher-managed clusters, edge deployments, and development environments.

OpenEBS: Container-Native Storage with Multiple Engines

OpenEBS (9,707 stars) is a CNCF project that provides container-native storage for Kubernetes. Unlike Rook and Longhorn, OpenEBS is not a single storage engine — it’s a framework that supports multiple storage backends:

  • Mayastor — NVMe-oF based high-performance block storage (recommended for production)
  • LocalPV — node-local storage with hostpath or ZFS/LVM backends
  • Dynamic LocalPV — automatically provisions local volumes based on node labels

Architecture

OpenEBS uses a microservices architecture where each storage engine runs as an independent set of pods. The Mayastor engine, the most capable, uses:

  • Io-Engine — SPDK-based NVMe-oF target for ultra-low latency
  • Agent Core — control plane for volume provisioning and management
  • Nexus — provides volume replication and high availability

LocalPV engines bypass the replication layer entirely, using direct host paths or ZFS datasets for maximum performance on single-node clusters.

Key Features

  • Multiple storage engines under one Helm chart
  • Mayastor: NVMe-oF with replication for high-performance workloads
  • LocalPV: direct node storage with no replication overhead
  • ZFS and LVM local provisioners for advanced volume management
  • cStor engine (legacy) for snapshot and clone capabilities
  • Thin provisioning with automatic space reclamation
  • OpenEBS Director for multi-cluster management

Resource Requirements

OpenEBS requirements vary by engine:

  • Mayastor: 2+ nodes with NVMe drives, 4 CPU cores, 8 GB RAM per node
  • LocalPV: minimal overhead, works on any node with disk space
  • ZFS LocalPV: ZFS-capable kernel module, 2 GB RAM minimum

Best For

OpenEBS shines when you need flexibility — different workloads can use different storage engines on the same cluster. Use Mayastor for databases requiring NVMe performance, LocalPV for stateless caches, and ZFS LocalPV for datasets needing snapshots. It’s also the default storage choice for many Kubernetes platforms.

For teams running object storminioorkloads, OpenEBS pairs well with a dedicated MinIO S3 deployment.

Head-to-Head Comparison

FeatureRook CephLonghornOpenEBS
GitHub Stars13,4677,6539,707
Last UpdatedApr 17, 2026Apr 19, 2026Apr 20, 2026
LanguageGoGo/ShellGo/Rust
Storage TypesBlock, File, ObjectBlockBlock, Local
Minimum Nodes321 (LocalPV), 2+ (Mayastor)
ReplicationCRUSH-basedSynchronous per-volumeNexus (Mayastor), None (LocalPV)
SnapshotsYes (Ceph RBD/FS)Yes (recurring)Yes (ZFS, cStor)
Backup TargetRadosGW (S3)NFS, S3N/A (use Velero)
Web UICeph DashboardLonghorn UIOpenEBS Director
CSI SupportYesYesYes
ReadWriteManyYes (CephFS)Yes (NFS frontend)Limited
EncryptionYes (LUKS, msgr2)Yes (storage class)Yes (dm-crypt)
Erasure CodingYesNoNo
Helm InstallYesYesYes
Best Use CaseEnterprise, multi-workloadSimplicity, Rancher clustersFlexibility, NVMe performance

Installation Guides

Installing Rook Ceph

Rook is installed via Helm. First, add the repository and create the namespace:

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helm repo add rook-release https://charts.rook.io/release
helm repo update

kubectl create namespace rook-ceph

Install the Rook operator:

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helm install --create-namespace \
  --namespace rook-ceph \
  rook-ceph rook-release/rook-ceph \
  --version v1.16.2

Wait for the operator to be ready, then deploy the Ceph cluster:

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kubectl create -f https://raw.githubusercontent.com/rook/rook/master/deploy/examples/crds.yaml
kubectl create -f https://raw.githubusercontent.com/rook/rook/master/deploy/examples/common.yaml
kubectl create -f https://raw.githubusercontent.com/rook/rook/master/deploy/examples/operator.yaml

# Deploy the cluster (uses all available raw devices)
kubectl create -f https://raw.githubusercontent.com/rook/rook/master/deploy/examples/cluster.yaml

Verify the cluster is healthy:

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kubectl -n rook-ceph exec deploy/rook-ceph-tools -- ceph status
kubectl -n rook-ceph exec deploy/rook-ceph-tools -- ceph osd status

Installing Longhorn

Longhorn supports both direct YAML installation and Helm. The Helm method is recommended for production:

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helm repo add longhorn https://charts.longhorn.io
helm repo update

kubectl create namespace longhorn-system

helm install longhorn longhorn/longhorn \
  --namespace longhorn-system \
  --version 1.9.1 \
  --set defaultSettings.backupTarget=nfs://backup-server:/backup \
  --set defaultSettings.createDefaultDiskLabeledNodes=true

For a quick installation without Helm:

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kubectl apply -f https://raw.githubusercontent.com/longhorn/longhorn/master/deploy/longhorn.yaml

Access the Longhorn UI via port-forward:

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kubectl port-forward -n longhorn-system svc/longhorn-frontend 8080:80

Then open http://localhost:8080 in your browser.

Installing OpenEBS

OpenEBS installs all storage engines through a single Helm chart:

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helm repo add openebs https://openebs.github.io/charts
helm repo update

kubectl create namespace openebs

helm install openebs openebs/openebs \
  --namespace openebs \
  --version 4.5.0 \
  --set engines.local.hostpath.enabled=true \
  --set engines.mayastor.enabled=true

After installation, select a storage class for your default provisioner:

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# List available storage classes
kubectl get sc

# Set openebs-hostpath as default (for single-node clusters)
kubectl patch storageclass openebs-hostpath \
  -p '{"metadata": {"annotations": {"storageclass.kubernetes.io/is-default-class": "true"}}}'

# Set openebs-mayastor as default (for NVMe clusters)
kubectl patch storageclass mayastor-single \
  -p '{"metadata": {"annotations": {"storageclass.kubernetes.io/is-default-class": "true"}}}'

Choosing the Right Solution

The decision depends on your infrastructure scale, expertise, and workload requirements:

Choose Rook Ceph if:

  • You need block, file, AND object storage from one platform
  • You have 3+ nodes with dedicated disks
  • Your team has (or wants) Ceph expertise
  • You need erasure coding for storage efficiency
  • You want S3-compatible object storage built-in

Choose Longhorn if:

  • You value simplicity and a clean web UI
  • You’re already using Rancher or SUSE products
  • You need automated backup to S3 or NFS
  • You’re running at the edge or in small clusters
  • Your operators aren’t storage specialists

Choose OpenEBS if:

  • You need different storage types for different workloads
  • You have NVMe drives and want maximum performance (Mayastor)
  • You’re running single-node clusters (LocalPV)
  • You want to mix replicated and non-replicated volumes
  • You prefer a CNCF project with modular architecture

FAQ

Can I run these storage solutions on a single-node Kubernetes cluster?

Yes, but with limitations. OpenEBS LocalPV is designed for single-node setups and works with zero replication overhead. Longhorn requires at least 2 nodes for replication (though it can run on 1 node with node-level scheduling). Rook Ceph requires a minimum of 3 nodes for monitor quorum — it cannot run on a single node in production mode.

Which solution offers the best performance?

For raw IOPS and latency, OpenEBS Mayastor with NVMe-oF is the fastest option, leveraging SPDK for kernel-bypass I/O. Rook Ceph with SSD-backed OSDs and bluestore provides strong performance for mixed workloads. Longhorn adds a synchronous replication overhead per volume, making it slightly slower but simpler to operate.

Do these solutions support volume encryption?

All three support encryption at rest. Rook Ceph uses LUKS encryption on OSDs and msgr2 for in-transit encryption. Longhorn supports storage-class-level encryption using Linux dm-crypt. OpenEBS Mayastor supports dm-crypt encryption for volumes. Enable encryption via the respective storage class parameters.

Can I migrate data between these storage solutions?

Yes, but it requires a migration process. Use Velero (see our Kubernetes backup orchestration guide) with restic/kopia integration to backup PVCs from one storage class and restore them to another. Alternatively, use rsync or rclone to copy data between mounted volumes while the application is running, then switch the PVC reference during a maintenance window.

How do these compare to cloud provider storage?

Cloud block storage (AWS EBS, GCP PD, Azure Disk) is fully managed but expensive at scale and locks you into a single provider. Rook Ceph provides similar durability with multi-node replication. Longhorn offers comparable simplicity with a self-managed UI. OpenEBS gives you cloud-like provisioning with the flexibility to choose your storage engine. All three eliminate egress charges and vendor lock-in.

What happens when a node fails?

Rook Ceph automatically detects node failures via monitor quorum and rebalances data across remaining OSDs using the CRUSH algorithm. Longhorn marks replicas on the failed node as stale and rebuilds them on healthy nodes. OpenEBS Mayastor detects replica failure through its control plane and initiates rebuild to a healthy node. LocalPV has no replication, so node failure means data loss unless external backups exist.

Can I use these with K3s or other lightweight Kubernetes distributions?

Yes, all three are compatible with K3s, k0s, k3d, and Talos Linux. Longhorn is particularly popular with K3s due to its simplicity. OpenEBS LocalPV is the lightest option for resource-constrained edge clusters. For a comparison of lightweight K8s distributions, see our k3s vs k0s vs Talos guide.

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