Cloud-native to the bone — serverless protection for S3, DynamoDB and RDS at petabyte scale, with copies your compromised account can’t touch and buckets that rewind.
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Clumio by Commvault (acquired October 2024) is cloud-native data protection built serverless from day one: Amazon S3, DynamoDB, RDS/Aurora, EC2/EBS and Apache Iceberg lakehouses protected at petabyte scale with virtually air-gapped copies outside your accounts, consumption-based pricing and zero backup infrastructure — plus signature moves like S3 Backtrack, which rewinds entire buckets to a point in time in hours instead of restore-job weeks. Now extending natively to Google Cloud, it's the answer for estates where agent-era backup economics simply collapse.
This page covers Clumio — the cloud-native engine. The rest of the eight-product portfolio:
Most product pages skip this. We start here — so you buy a capability, not a buzzword.
Backup rebuilt for how cloud estates actually work: serverless capture against cloud APIs (no agents, no backup servers), copies isolated outside your accounts, consumption pricing, and recovery ergonomics designed for billions of objects.
Clumio is the reference implementation — S3, DynamoDB, RDS, EBS and Iceberg at petabyte scale.
What consolidation actually replaces, dimension by dimension.
| Dimension | Snapshots + scripts + in-account vaults | Cloud-native protection (Clumio) |
|---|---|---|
| S3 protection | Versioning + replication + a prayer | Continuous backup with Backtrack rewind |
| Infrastructure | A backup EC2 fleet to size and patch | Serverless — nothing to run |
| Account compromise | Attacker deletes snapshots too | Air-gapped copies outside your accounts |
| DynamoDB retention | PITR's 35-day ceiling | Years, by policy |
| Multi-account sprawl | Per-account scripts and gaps | One policy plane, coverage visible |
| Bucket disaster | Weeks of restore jobs | Backtrack — hours |
| Cost model | Capacity licences vs elastic reality | Consumption-based metering |
| The lakehouse | 'Analytics data doesn't need backup' | Iceberg tables, air-gapped |
Adoption is same-day — connect accounts, set policy, and the wiki page titled "S3 backup TODO" finally closes.
Vendors love diagrams; buyers need to know what they’re actually operating. Here’s the whole platform, demystified.
Protection runs as a service against cloud APIs — no agents on instances, no backup servers to size, no gateways to patch.
Copies live in Clumio-managed accounts, logically air-gapped — a compromised AWS account can't reach its own backups.
Continuous protection for buckets with billions of objects — including Backtrack's bucket-wide point-in-time rewind.
Managed-database protection with record-level and point-in-time recovery beyond AWS's own snapshot horizons.
Air-gapped protection for Iceberg tables — the analytics estate that suddenly became production-critical.
One agent on every machine, one console over all of them — modules attach without a second operational world.
Clumio replaces the snapshot scripts, the in-account blast radius and the capacity-licence maths with protection built for cloud reality.
Buckets with billions of objects protected continuously — the estate where every agent-era tool taps out.
The signature: rewind an entire bucket to a point in time — ransomware or bad-deploy recovery in hours, not restore-job weeks.
Table protection beyond PITR's 35-day ceiling — with restores that don't torch your provisioned throughput.
Point-in-time and record-level recovery with retention AWS snapshots can't hold — the databases behind the business, properly covered.
Instances and volumes on policy with air-gapped copies — snapshots that survive the account compromise that deletes snapshots.
Air-gapped table protection for the lakehouse — analytics data graduated to production; its protection just caught up.
Copies in Clumio-managed accounts your credentials can't touch — the compromised-account scenario, pre-answered.
One object, one record, one prefix — recovery scoped to the incident even when the bucket holds billions.
Pay for protected data, not licensed capacity you might use — the meter that finally matches cloud economics.
Backup data tiered automatically — long retention without long-retention bills.
Protection posture, coverage gaps and audit evidence across accounts — the multi-account sprawl finally visible in one place.
The Clumio engine extending natively to GCP (2026) — the second cloud gets the same serverless treatment.
Official demos — the setup, the Backtrack signature and the coverage analytics.
From zero to protected AWS accounts — the serverless onboarding.
The signature move: an entire bucket rewound to before the incident.
Coverage, posture and audit evidence across the multi-account sprawl.
Want a live, India-context walkthrough on your own fleet?
Book a guided demo →Here’s what genuinely sets Clumio apart from the alternatives.
Billions of objects, petabytes of S3 — the estates where agent-era backup tools (and their bills) collapse are exactly where Clumio was engineered to start.
Bucket-wide point-in-time rewind means the ransomware or bad-deploy recovery is hours of orchestration, not weeks of restore jobs — RTO at object-storage scale, finally credible.
Copies live outside your AWS accounts — the attacker who owns your credentials and deletes your snapshots still can't reach the backups. That scenario is the modern breach script.
No agents, no backup EC2 fleet, no gateways — protection as pure service. The ops team's cloud-backup workload rounds to policy review.
PITR caps at 35 days, snapshots die with the account, and cross-account copies are DIY glue — Clumio holds retention for years with none of the scripting.
Cloud-native architecture with Commvault's balance sheet, roadmap and 15x-MQ pedigree behind it — the acquisition solved the 'bet on a startup' objection.
Accounts, buckets, tables and databases mapped with protection gaps and current spend — TechBag runs it free against your AWS bill.
Account connections and policies — the PoC starts protecting the same day; there is nothing to deploy.
Backtrack rehearsal on a real bucket, record-level DB restores, an account-compromise tabletop against the air gap.
Coverage dashboards watch the sprawl, consumption tracks the estate, and GCP joins as it lands. TechBag manages the commercials.
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Modelled on Gartner Peer Insights structure. *Counts and breakdowns are illustrative pending verified review collection.
“1.2PB of S3 across forty accounts, protected in an afternoon of policy work. Our previous approach was a wiki page titled 'S3 backup TODO'.”
“Backtrack rewound a 300-million-object bucket after a bad pipeline deploy. Four hours. We'd budgeted a week of restore jobs and grief.”
“Security's favourite fact: the backups live where our credentials can't reach. The account-compromise tabletop finally has a good ending.”
“DynamoDB PITR's 35-day wall was a compliance problem. Now retention is policy, and audit exports are a button.”
“Consumption pricing tracked our actual estate — the capacity-licence maths we escaped from never matched cloud reality.”
“Iceberg table protection made our lakehouse team stop pretending snapshots were a strategy.”
“It's AWS-deep and GCP-arriving — Azure estates need the parent platform. Scope your clouds honestly.”
“Post-acquisition the roadmap accelerated — Google Cloud support landed faster than we expected from a just-acquired startup.”
Analyst firms bury this view behind paywalls, and G2 retired its Grid. So here’s TechBag’s synthesis of the cloud-native backup 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 petabyte-scale cloud-native specialist with a platform parent — this page's subject.
The grid nobody publishes — depth at S3 scale vs how much infrastructure it demands.
Object-scale depth at serverless lightness — the rare top-right corner.
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 native default, the giants’ cloud arms and the SaaS suites — honest lanes, hubs landing this wave.
| Dimension | Clumio | AWS Backup | Veeam (AWS) | Druva | Rubrik (cloud) |
|---|---|---|---|---|---|
| Heritage & focus | Cloud-born, Commvault-backed | AWS's own service | The backup giant's AWS arm | SaaS-native suite | Security-first platform |
| S3 at billions of objects | The design centre | S3 backup exists | Snapshot-orientated | Covered | Covered |
| True air gap (outside your account) | Native | In your org | Configurable | Native | Native |
| Point-in-time bucket recovery | Backtrack | Object-by-object | Job-based | Job-based | Job-based |
| Infrastructure to run | None | None | Appliances/instances | None | Minimal |
| Beyond-AWS coverage | GCP arriving; parent covers rest | AWS only | Everything Veeam | Broad SaaS scope | Broad platform |
| Economics at PB scale | Consumption + tiering | Pay-as-you-go | Licence + infra | Per-TB SaaS | Premium |
| Best fit | PB-scale AWS/GCP estates | Light AWS needs | Veeam-standardised shops | SaaS-first lean teams | Security-led platforms |
Honest fit signals — because the fastest way to lose your trust is to pretend one product wins every scenario.
Drag the sliders (count protected cloud resources — buckets, tables, DBs, instances). Estimates assume ~4 engineer-hours per resource per year across snapshot scripting, restore-job babysitting, coverage audits and retention gymnastics, with ~70% removed by serverless policy and Backtrack ergonomics — illustrative and conservative.
Loaded cost = salary + overheads per productive hour. Illustrative only — your TechBag quote models actual device counts and modules.
Clumio prices on consumption — pay for protected data. TechBag projects the meter against your AWS bill in one GST quote.
Best for petabyte buckets
Best for the stateful layer
Best for hybrid estates
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.
PoC on your BIGGEST bucket — object counts in the hundreds of millions are where tools separate.
Rewind a production-copy bucket to yesterday and time it. This is the ergonomic moat — verify it.
Walk the account-compromise scenario: can credentials that own your org touch the backups? The answer must be no.
Map compliance retention against PITR/snapshot ceilings — the gap is the requirement.
Project the meter against estate growth — and compare with capacity-licence quotes honestly.
Connect the whole org in the PoC and read the coverage report — the gaps it finds are free findings.
Iceberg in production? Test table-level protection and recovery now, not after the first corruption.
Azure in the estate? That's the parent platform's job — scope both together via TechBag.
Get a consumption projection against your real AWS bill, or scope a PoC that ends in a timed Backtrack drill on your biggest bucket.
Stats, ratings, review counts and pricing are illustrative and sourced from public materials; verify before purchase.