For most cloud teams, the decision between disaster recovery and backup as a service comes down to one question: how long can this workload actually be down?
DRaaS vs BaaS: At a glance
What is backup as a service (BaaS)?
Backup as a service is a cloud-delivered model where a provider handles the scheduling, storage, and management of data backups.
The customer points the service at its data sources, sets retention policies, and the provider stores copies in its own infrastructure with the tooling to restore when needed, typically billed per GB or per workload, with no upfront infrastructure cost.
BaaS handles recovery from accidental deletion, ransomware when clean backup copies exist, and data corruption when caught in time. What it doesn't cover is full environment recovery. If a production server is lost, BaaS restores the data onto a rebuilt server, but the rebuild itself is outside the service scope.
What is disaster recovery as a service (DRaaS)?
Disaster recovery as a service is a cloud-delivered model where a provider maintains a standby replica of the production environment, ready to activate when the primary fails.
DRaaS covers data, server state, application configuration, and often networking. When the primary goes down, the customer initiates a failover, the replica becomes the active environment, and users access the cloud-hosted instance rather than the failed one.
DRaaS is designed for scenarios where downtime itself is the primary cost: regional outages, data center failures, and ransomware incidents that require immediate quarantining of production.
The tradeoff is cost and complexity: the standby replica requires ongoing compute and storage, and failover testing is non-trivial. The environment must be maintained, version-matched, and exercised regularly to stay functional.
Key differences between DRaaS and BaaS
The two services differ on several concrete dimensions. Understanding each helps you match the right model to the right workload.
Scope of protection
BaaS protects data. DRaaS protects the environment that runs data.
If production systems are rebuilt after an outage, BaaS restores the data onto the rebuilt systems. DRaaS skips the rebuild by maintaining a pre-built replica that can absorb production traffic directly.
For organizations running predictable, easily rebuilt cloud workloads, BaaS is often sufficient. For complex multi-tier applications with tight interdependencies, the rebuild cost makes DRaaS worth the premium.
Recovery time objective
The RTO gap between the two models is the most important operational difference. BaaS RTOs range from hours to days, depending on data volume and the speed of rebuild. DRaaS RTOs range from minutes to a few hours because the replica is already running.
For workloads where an hour of downtime costs meaningful revenue or reputation, DRaaS economics start to make sense. For workloads the business can operate around for a day, BaaS economics win.
In practice, most organizations maintain tiered RTOs rather than a single number: sub-minute targets for customer-facing systems, hours for internal tools, and days for archival workloads.
Cost structure
BaaS pricing typically tracks data volume protected, usually per GB per month. The cost is predictable and scales cleanly with data growth.
DRaaS pricing includes the backup data plus compute, storage, and replication bandwidth for the standby environment. Pricing models vary, but DRaaS is typically 3 to 10 times the cost of BaaS for comparable coverage, depending on RTO tier and replication frequency.
Some DRaaS providers offer cold tiers where the standby environment is dormant until activation. This reduces ongoing cost but increases RTO, moving the service closer to BaaS on the speed-to-cost tradeoff.
Testing and orchestration
DRaaS requires regular failover testing. A standby replica that has not been exercised in six months often fails when it is needed.
BaaS testing is simpler. Restore a file or a database, verify the restore is clean, and move on. The blast radius of a failed BaaS test is smaller than a failed DRaaS test.
DRaaS providers typically include orchestration tooling (runbooks, failover automation, and test environments) as part of the core offering because running a DRaaS plan manually is the kind of engineering work most teams cannot sustain at scale.
Data types and workloads covered
BaaS coverage has expanded steadily. Most modern BaaS providers support VMs, databases, object storage, SaaS applications, and increasingly cloud-native services.
DRaaS coverage historically focused on VMs and on-premise infrastructure.
Cloud-native workloads like managed databases, Kubernetes clusters, and serverless functions are less well served by traditional DRaaS models. Replication of these services often has to happen through native cloud mechanisms rather than DRaaS tooling.
When to use DRaaS vs BaaS
The choice depends on workload criticality, recovery tolerance, and budget.
Use BaaS when the business can absorb hours of downtime for a given workload, when the primary risk is data loss rather than infrastructure loss, and when cost pressure matters more than RTO compression.
Use DRaaS when a workload has tight RTO requirements (under one hour), when regional resilience is a compliance or business requirement, or when rebuilding the production environment from scratch would take longer than the business can tolerate.
Most organizations end up using both for different workloads. Tier 0 customer-facing systems sit behind DRaaS. Tier 1 and below sit behind BaaS. The decision happens at the workload level, not across the entire estate.
How cloud-native backup changes the equation
The traditional BaaS-versus-DRaaS tradeoff was built around a specific assumption. Backup is slow, so full environment replication is needed for fast recovery. That assumption no longer holds for cloud-native workloads. Modern cloud-native backup platforms deliver recovery speed and granularity that previously required DRaaS.
Three capabilities drive the difference:
- Granular recovery replaces full-environment rehydration. Instead of restoring an entire VM or database to reach a specific record, individual files, records, or tables can be restored in minutes.
- Ransomware recovery has improved significantly. Platforms can analyze backup contents to identify clean recovery points, reducing the need to spin up a full replicated environment just to get back to a known-good state.
- Coverage visibility has become more automated. Rather than assuming backup policies are applied consistently, modern platforms surface gaps across accounts and regions before an incident exposes them.
How Eon approaches cloud-native data protection and recovery
The capabilities above aren't evenly distributed across platforms. Here's how Eon delivers them specifically.
Granular recovery restores individual files, records, or tables in minutes rather than entire VMs or databases. NETGEAR's switch to Eon cut a 10TB SQL Server recovery from 24 hours under its legacy provider to under three hours, an 88% improvement without rehydrating the full dataset.
Eon's vaults are immutable and logically air-gapped from production and internal environments by default, with Write Once, Read Many (WORM) protections against ransomware and misconfiguration at the storage layer.
Ransomware detection analyzes the logical contents of backups, flags the last known good recovery point, and surfaces explanations of anomalies, enabling operators to recover with confidence across VMs, databases, and object storage.
Eon also detects AI applications and agents running on cloud VMs, surfacing where AI workloads sit in the environment and whether they fall under existing backup policy.
Cloud Backup Posture Management (CBPM) discovers new resources across accounts and regions, classifies them, automatically applies backup policies, and surfaces coverage gaps before they cause recovery failures.
SoFi used this across five AWS regions. Fragmented native snapshots had left coverage gaps and recovery times of a full day. With Eon, recovery dropped to minutes, and the full multi-region deployment was live in under four weeks.
Eon also makes backup data queryable and searchable without a full restore. Teams can run SQL queries with the database explorer directly against snapshots for audits, investigations, or analytics workloads, turning backup data from a recovery-only asset into something teams actually use day to day.
Beyond SQL queries on individual snapshots, the Eon AI agent supports natural-language search across the cloud estate. Ask "which VMs hold PHI?" or "show me databases without recent backups" and the agent returns matches directly, no query syntax needed.
For the most critical systems, DRaaS still has a role. But for cloud-native workloads, modern backup platforms now deliver recovery outcomes that previously required a full DRaaS investment, at a fraction of the cost.
Not sure if your backup platform can actually deliver when it counts? Book a demo and see how Eon handles recovery when it matters most.
Frequently asked questions
When should I use BaaS instead of DRaaS?
Use BaaS when the workload can tolerate hours of downtime, the primary risk is data loss rather than infrastructure loss, and cost efficiency matters more than RTO compression. DRaaS makes sense when an hour of downtime has direct revenue or compliance consequences.
What is the difference between DRaaS and BaaS?
The difference between DRaaS and BaaS is scope and recovery speed. BaaS protects data for restoration after loss, while DRaaS maintains a standby environment for failover. BaaS RTOs run in hours; DRaaS RTOs typically run in minutes to a few hours.
Is DRaaS more expensive than BaaS?
Generally, yes. DRaaS is commonly priced several times above BaaS for comparable coverage, often in the 3–10x range, because of the compute, storage, and replication bandwidth required to keep a standby environment ready for failover.
Do I need both DRaaS and BaaS?
Most enterprise environments use both DRaaS and BaaS for different workloads. Tier 0 customer-facing systems run on DRaaS for tight RTOs, while lower-priority workloads use BaaS for cost efficiency and longer-term retention.
Can BaaS handle ransomware recovery?
Yes, when the platform supports it. Modern cloud-native BaaS platforms that include immutable backups, anomaly detection, and clean-point restore can identify the last uncompromised recovery point and restore affected data without reintroducing the attack.
Does cloud-native backup replace DRaaS?
Cloud-native backup can replace DRaaS for many workloads where granular recovery and clean-point restore deliver the needed RTOs. Workloads with sub-minute RTO requirements or tight multi-region failover needs still benefit from DRaaS.
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