Best Kubernetes backup and disaster recovery platforms

Combined ranking

1. 1
   Kasten K10Grade ↗Visit ↗incumbent—19 pts

   GPT #1Claude #2Gemini #1Grok #1

   Best overall balance of application-aware protection, policy automation, multi-cluster management, ransomware safeguards, granular restores, and cross-cluster migration; strongest fit for typical production teams wanting dependable recovery without assembling their own tooling

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   GPT Best overall balance of application-aware protection, policy automation, multi-cluster management, ransomware safeguards, granular restores, and cross-cluster migration; strongest fit for typical production teams wanting dependable recovery without assembling their own tooling

   Gemini Provides the most complete, turnkey enterprise backup and disaster recovery platform with a polished GUI, automated policy engines, robust ransomware immutability, and application-aware blueprinting. It shares a virtual first-place tie with Velero, separated only by Kasten's readiness for compliance-driven enterprises that cannot afford DIY management overhead.

   Grok Most polished enterprise-grade Kubernetes-native solution with excellent UI, multi-cluster management, strong application-consistent backups via Kanister, ransomware protections, broad storage support, and free tier for smaller setups; proven in production mid-to-large environments balancing ease and capability.

   Claude The strongest commercial Kubernetes-native data protection platform — application-aware backups with automatic workload discovery, blueprints (Kanister) for consistent database backups, strong ransomware/immutability features, multi-cluster management, and polished DR runbooks; Veeam's backing gives it enterprise support and integration with broader Veeam estates. Near-tie with Portworx for large-scale enterprise use.

   Where it falls short

   per GPT Licensing and operational footprint are excessive for small clusters or cost-sensitive teams comfortable managing open-source workflows

   per Claude Licensing cost per node adds up fast, and it's overkill for small teams a Velero setup would serve; free tier caps at small clusters.

   per Gemini High commercial licensing costs and strict limitations on its free tier make it cost-prohibitive for smaller teams or budget-constrained startups.

2. 2
   VeleroGrade ↗Visit ↗incumbent—16 pts

   GPT #2Claude #1Gemini #2Grok #3

   The de facto open-source standard for Kubernetes backup — free, CNCF-adjacent (VMware/Broadcom-stewarded), works on every major distro and cloud, huge plugin ecosystem for object storage and volume snapshots (CSI snapshot support now mature), and it underpins several commercial products, so skills transfer; for the typical practitioner it delivers namespace/cluster backup, migration, and restore at zero license cost with the largest community knowledge base.

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   Claude The de facto open-source standard for Kubernetes backup — free, CNCF-adjacent (VMware/Broadcom-stewarded), works on every major distro and cloud, huge plugin ecosystem for object storage and volume snapshots (CSI snapshot support now mature), and it underpins several commercial products, so skills transfer; for the typical practitioner it delivers namespace/cluster backup, migration, and restore at zero license cost with the largest community knowledge base.

   GPT Best value and portability: mature open-source backup of Kubernetes resources and persistent volumes, broad cloud and CSI support, scheduled backups, hooks, data movement, and a strong ecosystem; a near-tie with K10 for teams possessing Kubernetes expertise

   Gemini The de facto open-source standard for Kubernetes backup, offering complete vendor neutrality, active community support, and seamless integration into GitOps workflows. It shares a virtual first-place tie with Kasten K10, earning this spot for teams prioritizing raw flexibility and zero software licensing overhead.

   Grok De facto open-source standard—free, highly flexible across clouds/on-prem via plugins, reliable for cluster resources + PVs, massive community adoption, and extensible (e.g., with Kanister for consistency); ideal foundation for cost-conscious or custom setups.

   Where it falls short

   per GPT It is a toolkit rather than a turnkey DR platform, leaving monitoring, restore testing, application consistency, and multi-cluster governance largely to operators

   per Claude It's a toolkit, not a platform — no real UI, weak reporting/RBAC/compliance features, and app-consistent backups (pre/post hooks, database quiescing) are entirely on you; teams needing audited enterprise DR must build a lot around it.

   per Gemini Lacks a native user interface and requires manual configuration of plugins and custom hook scripts for application-level consistency, creating significant operational overhead.

3. 3
   Portworx BackupGrade ↗Visit ↗incumbent▲110 pts

   GPT #5Claude #3Gemini #4Grok #2

   Exceptional for stateful apps with built-in application awareness for major databases, storage-agnostic operation, strong multi-cloud/DR features, and integration with broader storage platform for comprehensive data services.

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   Grok Exceptional for stateful apps with built-in application awareness for major databases, storage-agnostic operation, strong multi-cloud/DR features, and integration with broader storage platform for comprehensive data services.

   Claude Best when backup is part of a broader data-management need — tight integration with Portworx storage gives fast, consistent snapshots at scale, strong multi-cloud/multi-cluster DR with near-zero RPO options (async/sync DR via PX-DR), and Pure Storage backing for enterprises running stateful workloads seriously.

   Gemini Tailor-made for stateful workloads, delivering container-granular backups and synchronous replication for near-zero RPO disaster recovery.

   GPT Powerful centralized protection for large hybrid and multi-cloud fleets, with application-granular recovery, broad persistent-storage coverage, migration, RBAC, and strong support for Kubernetes-hosted virtual machines

   Where it falls short

   per GPT Best economics and operational fit come with larger enterprise or Portworx-aligned deployments, making it comparatively heavy for ordinary clusters

   per Claude Its full value assumes you're in (or willing to adopt) the Portworx storage stack; as a standalone backup tool against arbitrary CSI storage it's less compelling and pricing targets enterprises.

   per Gemini Highly tied to the broader Portworx storage ecosystem and represents a premium cost overhead that is hard to justify for environments running mostly stateless workloads.

4. 4
   CloudCasaGrade ↗Visit ↗▼18 pts

   GPT #3Claude #5Gemini #3Grok #5

   Excellent SaaS usability, centralized multi-cluster protection, automatic managed-cluster discovery, cross-cluster recovery, replication workflows, and flexible snapshot or object-storage copies with little infrastructure to operate

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   GPT Excellent SaaS usability, centralized multi-cluster protection, automatic managed-cluster discovery, cross-cluster recovery, replication workflows, and flexible snapshot or object-storage copies with little infrastructure to operate

   Gemini Simplifies multi-cluster backup management by offering a SaaS control plane that manages and monitors backups across public clouds, removing the burden of self-hosting the management plane while retaining Velero integration.

   Claude SaaS-managed Kubernetes backup with a genuinely useful free tier, very low operational overhead (no backup infrastructure to run), and a smart hedge: it can manage existing Velero installs, giving small-to-mid teams a UI, alerting, and multi-cluster visibility over open-source foundations.

   Grok SaaS-managed simplicity with low ops overhead, useful free tier, application-aware features, and strong multi-cluster visibility for teams avoiding self-managed control planes.

   Where it falls short

   per GPT SaaS control-plane dependence and commercial pricing make it a poor fit for strictly self-contained or highly air-gapped environments

   per Claude SaaS control plane is a non-starter for air-gapped or strict data-sovereignty environments, and it lacks the deep enterprise DR features (sync replication, ransomware forensics) of Kasten/Portworx.

   per Gemini The dependency on an external SaaS portal makes it unusable for air-gapped environments or organizations with strict regulatory constraints regarding outbound cluster metadata.

5. 5
   Trilio for KubernetesGrade ↗Visit ↗—7 pts

   GPT #4Claude #4Gemini #5Grok #4

   Particularly strong application-centric backup, repository-independent recovery, restore-time transformations, retention controls, migration, and orchestrated DR plans; nearly tied with CloudCasa where hybrid-cloud or OpenShift recovery is paramount

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   GPT Particularly strong application-centric backup, repository-independent recovery, restore-time transformations, retention controls, migration, and orchestrated DR plans; nearly tied with CloudCasa where hybrid-cloud or OpenShift recovery is paramount

   Claude Kubernetes-native, agentless, application-centric backup with good operator/Helm-aware capture, strong OpenShift support (popular in Red Hat shops), continuous restore/DR staging for low-RTO recovery, and works with any CSI storage — a credible K10 alternative that's often cheaper.

   Grok Strong application-centric policies, excellent for telco/CNF/regulatory workloads, solid multi-tenancy and multi-cluster, with good out-of-box awareness for stateful apps.

   Gemini Offers outstanding application-centric backup granularity (Helm, Operator, and namespace level) and is heavily certified for complex private cloud and telecom environments.

   Where it falls short

   per GPT Enterprise-oriented cost and administrative complexity are difficult to justify for straightforward or small-scale Kubernetes estates

   per Claude Much smaller ecosystem and community than Velero or Veeam; less proven at very large multi-cluster fleet scale, and OpenShift-centric strength matters less outside Red Hat environments.

   per Gemini It has a steep configuration learning curve and its pricing/feature set is over-engineered for typical public-cloud-managed Kubernetes deployments.

Rank history

Just missed the top 5

By model

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Tracked by ModelsAgree · rank 1 = 5 pts … rank 5 = 1 pt · re-polled on demand