Google Cloud Filestore vs AWS EFS for Kubernetes persistent storage

Here’s a practical comparison of Google Cloud Filestore vs AWS EFS for Kubernetes persistent storage.

Short answer

• AWS EFS is the better fit if you want a mature, highly scalable, cross-AZ/shared file system tightly integrated with EKS and you need elastic capacity.
• Google Cloud Filestore is a strong choice if you’re on GKE and want simple NFS-based shared storage with low operational overhead and predictable performance.

Both are managed NFS file systems and are commonly used for:

• shared application data
• CMS/content storage
• web assets
• home directories
• ML/data pipelines
• workloads needing RWX (ReadWriteMany) access

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Key differences

1) Kubernetes integration

AWS EFS

• Native CSI driver for EKS
• Works well across multiple Availability Zones
• Often paired with EFS Access Points for per-app isolation
• Strong ecosystem support

Google Filestore

• Native CSI driver for GKE
• Very straightforward to set up in Google Cloud
• Commonly used when you need persistent RWX volumes in GKE
• Simple operational model

Winner: Tie, but EFS has a slight edge for flexibility and maturity.

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2) Scaling and capacity

AWS EFS

• Elastic: grows/shrinks automatically
• You don’t usually pre-provision size
• Great when storage growth is unpredictable

Filestore

• Capacity is typically provisioned by tier/instance size
• More predictable, but less elastic than EFS
• Some Filestore tiers offer better performance, but scaling usually means resizing or changing tier

Winner: EFS for elasticity.

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3) Performance model

AWS EFS

• Performance scales with file system size and throughput mode
• Good for general-purpose shared file storage
• Can be tuned with bursting/provisioned throughput depending on needs

Filestore

• Often offers strong, consistent NFS performance
• Depending on tier, can be very good for latency-sensitive workloads
• Simpler performance expectations if you pick the right tier

Winner: Depends on workload.

• For elastic general-purpose storage: EFS
• For predictable NFS performance on GCP: Filestore

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4) Availability and durability

AWS EFS

• Designed for regional, multi-AZ use
• Highly available by default
• Strong durability characteristics

Filestore

• Availability depends on the service tier and configuration
• Standard/enterprise offerings differ
• Regional options exist, but architecture and resilience characteristics vary more by tier than EFS’s default model

Winner: EFS for multi-AZ resilience and simplicity.

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5) Cost

AWS EFS

• Can get expensive, especially for:
  • lots of stored data
  • frequent access
  • provisioned throughput
• Pay attention to storage class and IA/throughput pricing

Filestore

• Often cost-effective for steady workloads
• Pricing depends on instance/tier and provisioned capacity
• May be cheaper for some fixed-size workloads, especially when you know your capacity needs

Winner: It depends.

• Predictable fixed-size workloads: Filestore can be cheaper
• Elastic workloads: EFS may cost more, but saves on operations and resizing

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6) Operational simplicity

AWS EFS

• Managed, but there are more choices:
  • access points
  • throughput modes
  • mount targets
  • AZ/subnet considerations
• Powerful, but slightly more complex

Filestore

• Very simple NFS provisioning
• Often easier for teams already on GKE and wanting straightforward shared storage

Winner: Filestore for simplicity.

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Best use cases

Choose AWS EFS if:

• You run on EKS
• You need multi-AZ shared storage
• You expect variable/unpredictable growth
• You want easy horizontal scaling of storage
• You need many pods across nodes to mount the same volume

Choose Google Filestore if:

• You run on GKE
• You want a straightforward managed NFS service
• Your storage needs are stable/predictable
• You prefer Google Cloud’s storage stack and networking
• You want low-lift shared RWX volumes

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Kubernetes perspective: what matters most

For Kubernetes, the critical requirement is usually:

• RWX support for many pods
• a CSI driver
• good mount reliability
• acceptable I/O performance
• HA across failure domains

Both services work well for RWX use cases.
If you need shared POSIX file storage between pods, both are valid.

Avoid using either for:

• high-IOPS databases that expect block storage
• latency-sensitive transactional workloads better suited for block storage like:
  • AWS EBS / GCP Persistent Disk
• workloads needing strict local filesystem semantics at very high performance

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Simple recommendation

• If you’re on AWS/EKS → EFS
• If you’re on GCP/GKE → Filestore
• If your workload is mostly shared files across pods, both are fine
• If you need elastic scaling and multi-AZ by default, favor EFS
• If you need simple managed NFS on GKE, favor Filestore

If you want, I can also give you:

1. a feature-by-feature table,
2. pricing considerations, or
3. recommended Kubernetes StorageClass/YAML examples for each.