Kubernetes-native to the bone — applications captured as units, policies living in Git, and restores that return working apps instead of YAML archaeology.
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Veeam Kasten (K10) is the #1 Kubernetes data-protection platform: application-aware backup that captures whole K8s applications — pods, PVCs, ConfigMaps, Secrets, CRDs and operators — as coherent units, policy-driven via native custom resources so protection lives in the GitOps workflow, with ransomware-hardened immutable exports, cross-cluster/cross-cloud DR and restores that rebuild the application, not a pile of YAML and orphaned volumes. Acquired presciently in 2020, it's the answer to the uncomfortable audit question: the platform team ships daily — who can restore what they shipped?
This page covers Kasten — the K8s flank. The rest of the seven-product lineup:
Most product pages skip this. We start here — so you buy a capability, not a buzzword.
Backup rebuilt for how K8s works: the application as the unit — workloads, volumes, config, secrets and CRDs captured coherently — with policies that live in Git and restores that return working apps.
Kasten defined the category; the free tier means small clusters can start today.
What consolidation actually replaces, dimension by dimension.
| Dimension | "It's in Git" + volume snapshots | App-aware protection (Kasten) |
|---|---|---|
| The unit | Volume snapshots divorced from meaning | Applications — resources + state, coherent |
| Config & Secrets | 'In Git, mostly' (drift says otherwise) | Captured with the app, restored with it |
| Where policy lives | A backup console nobody visits | CRs in Git — the pipeline applies them |
| DB consistency | Crash-consistent and crossed fingers | Blueprint-quiesced, app-consistent |
| Cluster ransomware | Backups in the same blast radius | Immutable off-cluster exports |
| Region failure | Rebuild from Helm charts and memory | Cross-cluster restore, transformed |
| Cluster upgrades | Postponed for fear | Restore-to-new IS the path |
| Who restores | The platform team, always | Namespace teams, within RBAC |
Adoption is a Helm install and a PR — and the first whole-app restore drill converts the sceptics.
Vendors love diagrams; buyers need to know what they’re actually operating. Here’s the whole platform, demystified.
Kasten runs inside the cluster as Kubernetes-native services — protection that speaks CRDs because it is CRDs.
Namespaces, labels and operators mapped into applications — backup scoped the way platform teams actually think.
Storage-native snapshots via CSI across EBS, Azure Disk, Ceph and friends — crash-consistent fast, app-consistent via hooks.
Backups exported to object storage with immutability — the cluster can burn; the applications can't.
Applications restored to other clusters, regions or clouds — DR, migration and cluster upgrades share one machinery.
One agent on every machine, one console over all of them — modules attach without a second operational world.
Kasten replaces the folklore — and the restore-day archaeology — with protection that speaks Kubernetes natively.
The whole app captured coherently — workloads, PVCs, ConfigMaps, Secrets, CRDs — not volumes divorced from the YAML that gives them meaning.
CSI-driven capture across the storage zoo — EBS, Azure Disk, GCP PD, Ceph, Portworx — fast because the storage does the work.
Kanister blueprints quiesce databases before capture — PostgreSQL, MySQL, MongoDB and Cassandra backed up consistent, not merely crash-safe.
Protection policies are Kubernetes custom resources — versioned in Git, applied by pipeline, reviewed like the code they protect.
Off-cluster copies to object-locked storage — the ransomware that owns the cluster can't reach the applications' escape copies.
Anomaly signals on backup streams flag encryption patterns in cluster data — the platform estate joins the tripwire grid.
The application returns as a unit — resources, volumes and config rewired — not a YAML archaeology project with orphaned PVCs.
One PVC, one Secret, one namespace — restore scoped to the incident, transformed on the way if the target differs.
Applications restored to another cluster, region or cloud — transformations handle storage classes and networking differences.
Many clusters, one policy plane — the platform team's estate governed centrally while each cluster keeps its autonomy.
Namespace teams restore their own applications within guardrails — platform teams stop being the restore bottleneck.
The K8s flank of the same vendor covering VMs, SaaS and the vault — the audit story stays whole as the stack modernises.
The AWS-told overview, the best-practices discipline and the ransomware answer.
The K8s data-protection pitch, told with the cloud it most often runs on.
The discipline — app-consistency, exports and policy design.
Immutable exports and detection — the cluster's ransomware answer.
Want a live, India-context walkthrough on your own fleet?
Book a guided demo →Here’s what genuinely sets Kasten apart from the alternatives.
A PVC snapshot without its ConfigMaps, Secrets and CRDs is a puzzle, not a backup. Kasten captures applications as coherent units — which is the entire difference when restore day comes.
Policies as custom resources means backup ships with the app — versioned in Git, applied by ArgoCD, reviewed in the PR. The platform team never context-switches to a backup console.
Agent-era tools snapshot nodes and miss the point: pods are cattle, state lives in CSI volumes, meaning lives in the API server. K8s-native protection is a different discipline — Kasten defined it.
Cross-cluster restore with transformations covers the region failure, the cloud migration AND the scary cluster upgrade — three runbooks, one engine.
Immutable off-cluster exports and anomaly detection — because attackers noticed that platform estates carry production and their backups often live in the same blast radius.
Kasten invented the category and Veeam bought it before rivals noticed K8s mattered — the #1 platform with the #1 vendor's roadmap and support behind it.
Clusters, distributions, storage classes, stateful apps and the honest answer to 'who can restore this?' — TechBag maps it free.
Helm-installed, apps discovered, first policies as CRs in the GitOps repo — immutable exports wired to object storage.
Whole-app restore, a cross-cluster move with transformations, a blueprint-quiesced database recovery — timed.
Multi-cluster policy plane live, namespace self-service within RBAC, node counts true-ed up. TechBag manages renewals.
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Modelled on Gartner Peer Insights structure. *Counts and breakdowns are illustrative pending verified review collection.
“A namespace deletion took out a production app — resources, volumes, everything. Whole-app restore had it back, rewired, in 40 minutes. The YAML archaeology we avoided would have taken days.”
“Policies live in our GitOps repo next to the apps they protect. Backup coverage is now a PR review question, not an audit surprise.”
“We restored our whole stack to a new region during a cloud incident — transformations handled the storage classes. The DR test finally matched the DR slide.”
“Kanister blueprints quiesce our PostgreSQL before capture — app-consistent, not crash-and-hope. The DBAs signed off, which never happens.”
“The cluster upgrade we'd postponed for a year happened in an afternoon — restore-to-new-cluster IS the upgrade path.”
“Immutable exports to object-locked S3 means the cluster and its backups aren't one blast radius. Security approved a K8s tool in one meeting. A first.”
“Per-node licensing is fair; watch autoscaler-heavy estates — node counts breathe, and so does the bill. Plan the true-up.”
“Namespace teams restore their own apps within RBAC guardrails. The platform team stopped being the restore help desk.”
Analyst firms bury this view behind paywalls, and G2 retired its Grid. So here’s TechBag’s synthesis of the K8s protection market — tap any vendor to see why it sits where it does.
Execution strength vs product vision — the classic market map, minus the paywall.
The category pioneer at #1, with a platform parent — this page's subject.
The grid nobody publishes — how K8s-native the capture is vs who carries the pager for it.
App-aware depth at product-grade ops — the defined corner of the category.
Positions are TechBag’s illustrative synthesis of public review-platform data and vendor documentation — not a reproduction of any analyst graphic. Verify before relying on it.
The OSS default, the storage arms and the platform modules — honest lanes, including when Velero is enough.
| Dimension | Veeam Kasten | Velero (OSS) | Portworx PX-Backup | Commvault (K8s) | Cloud-native snapshots |
|---|---|---|---|---|---|
| Heritage & focus | The category pioneer (#1) | The open-source default | Storage-vendor arm | Platform module | Volume snapshots |
| App-aware capture (CRDs/operators) | The benchmark | Resource-level | Good | Solid | None |
| DB consistency (hooks/blueprints) | Kanister blueprints | Hooks, DIY | App hooks | App-aware | Crash-consistent |
| GitOps ergonomics | Policies as CRs | CR-native too | API-driven | Console-first | IaC-able |
| Cross-cluster/cloud mobility | Transform-aware | Possible | Good | Supported | Same-cloud only |
| Ops burden | Product-grade | You are the vendor | Moderate | Platform-managed | None |
| Economics | Per node + free tier | Free | Per node | Platform pricing | Snapshot storage |
| Best fit | Production K8s with stakes | OSS-first small estates | Portworx storage shops | Commvault estates | Dev/test clusters |
Honest fit signals — because the fastest way to lose your trust is to pretend one product wins every scenario.
Drag the sliders (count K8s nodes; IT-hour cost as loaded platform-engineer rate). Estimates assume ~6 hours per node per year across Velero-style plugin upkeep, untested-restore risk work and DR-doc theatre, with ~65% absorbed by product-grade protection — the namespace-deletion day is the real number. Illustrative.
Loaded cost = salary + overheads per productive hour. Illustrative only — your TechBag quote models actual device counts and modules.
Kasten prices per node with a free small-cluster tier. TechBag models node-breathing and bundles with the Veeam estate in one GST quote.
Best for the first cluster
Best for production fleets
Best for consolidators
Whatever the list prices above, TechBag negotiates a significantly better deal — with GST-compliant INR invoicing and local support. Ask us for your discounted quote.
Tell us your device counts and current tools — we’ll model it against what you spend today.
Take this into your next vendor call — including ours.
Ask the platform team: if this namespace vanished, who restores it, from what, how fast? Silence is the finding.
Delete a test app entirely (resources + PVCs) and restore it as a unit. YAML archaeology means the tool failed.
Verify blueprint quiescing on YOUR databases — crash-consistent Postgres is a time bomb with a nice label.
Confirm backups export off-cluster to object-locked storage — in-cluster backups share the blast radius.
Restore to a different cluster with different storage classes. The transformation engine is the DR claim — test it.
Policies as CRs in YOUR repo, applied by YOUR pipeline — verify the workflow end to end.
Autoscaling estate? Model node-count breathing against per-node licensing before the quote.
Coming from Velero? List the plugins you maintain and the restores you've actually tested. That list is the comparison.
Start on the free tier today, or bring your cluster census and let a TechBag advisor design the PoC around a whole-app restore drill.
Stats, ratings, review counts and pricing are illustrative and sourced from public materials; verify before purchase.