Commissioned Research
Top 10 Best Cloud Based Backup Services of 2026

GITNUXSOFTWARE REVIEW

Cybersecurity & Information Security

Top 10 Best Cloud Based Backup Services of 2026

Compare cloud based backup services and fit for teams, with a market research roundup that covers options like Rackspace Technology for planning.

19 min readUpdated Editorially scoped research
How we ranked these tools
01Editorial Scope

Vendors set the topic, but our editors set the inclusion criteria and the evaluation framework before research starts.

02Source Research

Agents extract product evidence with provenance, then collect written reviews and transcribe video reviews and podcasts.

Read our full methodology →

Framework: Features 40% · Ease 30% · Value 30%

Gitnux may earn a commission through links on this page. This does not influence our reviews. Editorial policy

Cloud based backup services protect workloads by moving backup data from customer storage into vendor-managed object or infrastructure storage with restore workflows that match real recovery targets. This comparison is written for IT operators and technical evaluators who need pricing and reliability tradeoffs mapped to deployment scope, integration depth, and recovery automation so procurement decisions can align backup throughput, retention, and auditability with operational requirements.

Rackspace Technology is the best overall pick for multi-team orgs that need governed managed backup operations because its policy-driven administration keeps ownership clear and restores repeatable, while Databarracks is a strong alternative for UK teams wanting operational runbooks tied to customer-defined retention.

Editor’s top 3 picks

Three quick recommendations before you dive into the full comparison below — each one leads on a different dimension.

Editor pick
1

Rackspace Technology

Managed backup delivery with governance-focused administration for policy and restore ownership.

Best for: Fits when multi-team organizations need governed managed backup operations and repeatable recovery workflows.

2

NTT DATA

Editor pick

Operational backup orchestration with controlled policy rollout for large estates, paired with managed restore coordination.

Best for: Fits when enterprises need managed cloud backup governance and consistent restore execution across many systems.

3

Kyndryl

Editor pick

Service-led recovery planning that coordinates restore priorities across infrastructure and application tiers.

Best for: Fits when enterprise teams need managed backup operations and coordinated restore execution.

Comparison Table

1
enterprise_vendor
9.3/10
Overall
2
enterprise_vendor
8.7/10
Overall
3
enterprise_vendor
8.6/10
Overall
4
enterprise_vendor
8.3/10
Overall
5
enterprise_vendor
8.0/10
Overall
6
specialist
7.9/10
Overall
7
enterprise_vendor
7.4/10
Overall
8
enterprise_vendor
7.3/10
Overall
9
specialist
6.8/10
Overall
10
enterprise_vendor
6.6/10
Overall
#1

Rackspace Technology

enterprise_vendor

Rackspace Technology manages backup, recovery, and cloud infrastructure services for business workloads.

9.3/10
Overall
Features9.3/10
Ease of Use9.5/10
Value9.1/10
Standout feature

Managed backup delivery with governance-focused administration for policy and restore ownership.

Rackspace Technology delivers managed backup workflows that include source-side backup agent operations, policy-driven backup scheduling, and repository management in the cloud. Restore execution is built around practical recovery paths such as file restores and infrastructure recovery planning, which matters when business owners need predictable recovery steps. Administration supports segmentation across teams through account-level organization and access management, which helps reduce the risk of broad permissions during day-to-day operations.

A key tradeoff is that managed service delivery typically requires clearer governance on who requests changes and when, because backup policies and retention settings affect operational risk. Rackspace Technology fits best when production systems need consistent backup coverage and recovery runbooks, including environments with multiple apps and shared operational responsibility.

Rackspace Technology is also a better match when automation and integration are part of the requirement, since backup operations often need to align with existing provisioning and change management. Teams that need direct, repeatable configuration flows benefit most, while ad hoc backup experiments without operational process fit less well.

Pros
  • +Managed backup operations with consistent policy-driven scheduling
  • +Restore workflows support practical recovery planning for production systems
  • +Access control supports governed administration across teams
  • +Integration-ready operations fit change management processes
Cons
  • –Managed delivery adds process overhead for backup policy changes
  • –Requires deliberate configuration ownership to avoid retention mistakes
  • –Restore planning still depends on defined recovery runbooks
  • –Agent and workload onboarding can take time for complex estates
Use scenarios
  • Mid-market IT operations

    Standardize backup coverage for production workloads

    More predictable recoveries

  • Regulated enterprises

    Control backup responsibility and retention

    Tighter operational control

Show 2 more scenarios
  • MSP and IT partners

    Deliver managed backup to client fleets

    Lower operational variance

    Run backup operations consistently across many environments with shared processes.

  • Platform teams

    Align backup policy with provisioning

    Faster workload protection

    Coordinate onboarding and configuration changes through existing automation routines.

Best for: Fits when multi-team organizations need governed managed backup operations and repeatable recovery workflows.

#2

NTT DATA

enterprise_vendor

NTT DATA operates managed backup and disaster recovery services for enterprise and public-sector clients.

8.7/10
Overall
Features8.7/10
Ease of Use8.7/10
Value8.7/10
Standout feature

Operational backup orchestration with controlled policy rollout for large estates, paired with managed restore coordination.

NTT DATA is a fit for organizations that run mixed workloads and require managed operations, including defined backup schedules, retention policy enforcement, and repeatable restore procedures. The strongest fit signal is operational governance, since backup policy rollout and change management matter when many systems must stay aligned. Integration depth tends to be strongest where backup operations must connect to ticketing, monitoring, and infrastructure workflows rather than remain isolated to backup consoles.

A tradeoff appears when teams expect self-service setup with minimal engagement, because NTT DATA is positioned around managed delivery and operational oversight. One usage situation is a mid-enterprise to large enterprise migrating toward standardized recovery objectives, where backup policies need controlled changes and auditable operational routines. Another situation is environments that require consistent throughput and restore performance across many clients, where the managed service model reduces operational burden on internal administrators.

Pros
  • +Managed backup operations reduce day-to-day administrative load
  • +Policy-driven retention supports controlled recovery timelines
  • +Restore workflows fit operational IT change and validation routines
  • +Integration and automation help connect backups to existing operations
Cons
  • –Managed delivery model can slow down highly self-directed teams
  • –Restore testing requires coordination, not just console clicks
Use scenarios
  • Enterprise infrastructure teams

    Standardizing backup schedules across departments

    Consistent recovery controls

  • Security and risk teams

    Tightening backup lifecycle governance

    Lower policy drift risk

Show 2 more scenarios
  • Platform engineering teams

    Integrating backup with operational tooling

    Fewer manual handoffs

    Automation interfaces support wiring backup operations into monitoring, workflows, and infrastructure processes.

  • IT operations managers

    Reducing restore handling variability

    More repeatable restores

    Managed restore procedures support predictable execution during incidents and scheduled recovery checks.

Best for: Fits when enterprises need managed cloud backup governance and consistent restore execution across many systems.

#3

Kyndryl

enterprise_vendor

Kyndryl delivers managed backup, recovery, and disaster recovery services for enterprise environments.

8.6/10
Overall
Features8.6/10
Ease of Use8.6/10
Value8.6/10
Standout feature

Service-led recovery planning that coordinates restore priorities across infrastructure and application tiers.

Kyndryl focuses on managed backup delivery where backup schedules, retention policy application, and recovery runbooks are handled under an engagement model. Backup execution typically relies on deployed backup agents and configured protection jobs that target defined source systems and cloud or offsite backup repositories. The strongest fit appears in environments that already need enterprise service management and change control around backup and restore testing.

A clear tradeoff appears in agility. Kyndryl’s approach is usually less suitable for teams that want rapid, self-directed tuning of backup workflows without service involvement. It works well when reliability expectations and recovery coordination across server and application tiers matter more than hands-on experimentation by internal IT.

Pros
  • +Managed delivery model for backup scheduling, retention handling, and recovery coordination
  • +Enterprise-grade integration with operations workflows and infrastructure governance
  • +Agent based protection across mixed environments under managed execution
  • +Restore planning support suited for application and infrastructure recovery
Cons
  • –Self-serve workflow tuning is limited compared with agentless consumer backup tools
  • –Engagement scope affects turnaround for new data sources and protection policy changes
Use scenarios
  • IT operations teams

    Coordinated restore under change control

    Faster recovery coordination

  • Enterprise application owners

    Application tier restore runbooks

    Lower restore disruption

Show 1 more scenario
  • Infrastructure governance teams

    Retention policy execution oversight

    More consistent retention

    Managed scheduling and policy application reduces drift across protected systems and environments.

Best for: Fits when enterprise teams need managed backup operations and coordinated restore execution.

#4

CDW

enterprise_vendor

CDW designs and operates managed backup, recovery, cloud, and infrastructure services.

8.3/10
Overall
Features8.3/10
Ease of Use8.3/10
Value8.3/10
Standout feature

Service-led orchestration across backup agents, cloud storage, and enterprise support workflows for end-to-end restore accountability.

CDW delivers cloud backup as a managed service through its broader IT services and partner ecosystem, so customers typically get backup program design plus ongoing operations support rather than a single self-serve console. The offering tends to focus on integrating backup agents, policy-driven schedules, and cloud storage targets into existing enterprise tooling like endpoint management and ticketing workflows.

Pros
  • +Managed implementation coordination across backup agents and cloud storage targets
  • +Administration support that fits existing enterprise operations workflows
  • +Operational reporting that aligns with audit expectations for restore activity
  • +Partner-driven extensibility for application-specific backup scenarios
Cons
  • –Delivered through service engagement, not a single product-only experience
  • –Restore testing rigor depends on the defined engagement scope
  • –API and automation depth can vary by chosen backup vendor components
  • –Policy tuning and rollout require governance discipline to avoid gaps

Best for: Fits when mid-market or enterprise teams want managed backup operations tied to existing IT processes.

#5

IBM

enterprise_vendor

IBM provides managed data protection, backup, and disaster recovery services across hybrid cloud environments.

8.0/10
Overall
Features8.0/10
Ease of Use8.0/10
Value8.0/10
Standout feature

Centralized enterprise backup policy management tied to operational governance and audit trails.

IBM delivers cloud backup through its enterprise data protection stack, which typically combines storage targets with backup and restore orchestration for larger environments. The offering is most distinct for integrating backup workflows into broader infrastructure governance, including centralized policy control and audit-ready operations trails.

Pros
  • +Enterprise-grade policy enforcement across backup schedules and retention behavior
  • +Centralized operations workflows for restore runs and incident investigation
  • +Works in environments that already follow strict controls and change management
  • +Integration pathways that fit large IT estates and service management practices
Cons
  • –More implementation effort than small standalone backup tools
  • –Agent and environment discovery steps can slow initial rollout timelines
  • –Restore workflow depth often requires trained administrators
  • –Feature coverage depends on which IBM data protection components are included

Best for: Fits when enterprises need governed, centrally operated backup and restore across many hosts.

#6

Databarracks

specialist

Databarracks provides UK-based managed backup, disaster recovery, and cloud hosting services.

7.9/10
Overall
Features7.9/10
Ease of Use7.9/10
Value7.9/10
Standout feature

Managed backup orchestration that pairs customer-defined retention policy with restore-ready operational runbooks for enterprise recovery workflows.

Databarracks is a UK-focused managed backup service built around customer-controlled cloud backup storage and a governed deployment process for enterprise and regulated workloads. It centers on an agent-based backup client that schedules backups, applies retention policies, and supports restore workflows for files, servers, and applications depending on the installed components.

Pros
  • +Managed service delivery with operational oversight for backups and restores
  • +Agent-based scheduling and retention management designed for consistent recovery outcomes
  • +Clear restore workflows that support both day-to-day recovery and incident response
  • +Governed configuration reduces drift across endpoints and server estates
Cons
  • –API surface and automation depth are not as extensive as developer-first backup tools
  • –More setup and documentation are needed to align backup policy with governance requirements
  • –Some advanced recovery workflows depend on the right installed backup components
  • –Cross-platform configuration can require additional effort for mixed estate environments

Best for: Fits when organizations need governed managed backup operations with predictable restore processes across mixed Windows server estates.

#7

Sify Technologies

enterprise_vendor

Sify Technologies delivers managed cloud backup, disaster recovery, and data-center services.

7.4/10
Overall
Features7.4/10
Ease of Use7.4/10
Value7.4/10
Standout feature

Managed service delivery for backup deployment and recovery operations, reducing customer burden during rollout and restores.

Sify Technologies delivers cloud backup through managed services and enterprise delivery motion, which differentiates it from backup products that focus only on self-administered agents. Core capabilities center on deploying backup agents, defining backup schedules and retention, and handling restores across file-oriented and infrastructure-oriented needs for business workloads.

Pros
  • +Managed delivery model reduces rollout friction for backup client deployments
  • +Schedule and retention controls support practical operational backup policies
  • +Restore workflows are designed around business IT recovery expectations
  • +Operational engagement fits enterprises with established IT change processes
Cons
  • –Deeper automation and API extensibility are limited compared with agent-first vendors
  • –Operational responsibility shifts toward the customer for day-to-day governance
  • –Restore scope visibility can require more coordination than pure self-service tools
  • –Designing a multi-system recovery plan may depend on implementation support

Best for: Fits when enterprises want managed backup rollout and operational restore support across mixed workloads.

#8

ePlus

enterprise_vendor

ePlus delivers managed backup, cloud infrastructure, data protection, and recovery services.

7.3/10
Overall
Features7.3/10
Ease of Use7.3/10
Value7.3/10
Standout feature

Managed delivery for backup rollout and restore execution that emphasizes governance over self-service administration.

ePlus pairs cloud backup with device and endpoint data protection workflows managed through an enterprise services motion rather than a pure self-serve portal. The service approach centers on deploying backup agents to defined sources, setting retention and scheduling, and routing restore requests through controlled operational processes.

Pros
  • +Enterprise delivery model for backup agent rollout and ongoing operations
  • +Policy-based scheduling and retention control across defined source groups
  • +Structured restore handling with workload-level status visibility
  • +Integration support that aligns backup workflows to existing IT operations
Cons
  • –Less suited to teams wanting fully self-serve setup and day 2 changes
  • –Automation and API depth is not the primary focus for programmatic control
  • –Restore testing depends on operational coordination and defined process
  • –Governance flexibility may be constrained by managed delivery boundaries

Best for: Fits when mid-market and enterprise teams need managed backup operations and controlled restore workflows.

#9

DataBank

specialist

DataBank operates managed backup, disaster recovery, colocation, and cloud infrastructure services.

6.8/10
Overall
Features6.8/10
Ease of Use6.8/10
Value6.8/10
Standout feature

DataBank-led backup design ties schedule, retention, and restore workflows to each customer environment during onboarding.

DataBank delivers cloud-based backup as a service with managed delivery and environment-specific implementation support. It centers on automated backup scheduling with agent-based capture, storage management, and retention policy enforcement for typical Windows and Linux workloads.

Pros
  • +Managed onboarding reduces rollout risk across mixed host types
  • +Retention policy automation keeps backup schedules consistent
  • +Restore workflows support both file-level recovery and system recovery paths
  • +Integration planning helps align backup capture with production constraints
Cons
  • –Administrative control relies heavily on DataBank coordination
  • –Self-serve configuration depth is limited compared with agent-first competitors
  • –Automation coverage can lag behind edge apps without custom design
  • –Operational visibility depends on the deployment model and reporting scope

Best for: Fits when mid-market teams want managed backup delivery and coordinated recovery planning.

#10

Ensono

enterprise_vendor

Ensono manages backup, recovery, cloud, and hybrid infrastructure services for enterprises.

6.6/10
Overall
Features6.6/10
Ease of Use6.7/10
Value6.5/10
Standout feature

Service-led recovery orchestration for disaster recovery scenarios that coordinates backup schedules, retention, and restore workflows.

Ensono is a managed backup and disaster recovery provider that fits organizations needing hands-on implementation rather than a self-managed cloud backup tool. Backup delivery centers on agent-based data protection and managed operations that align schedules, retention, and recovery workflows with enterprise change control.

Pros
  • +Managed delivery supports coordinated backup scheduling and retention controls
  • +Agent-based backup model fits heterogeneous endpoints and server estates
  • +Recovery workflows are designed for disaster recovery use cases beyond file restore
  • +Service governance reduces operational burden on internal backup admins
Cons
  • –Managed approach reduces self-service flexibility for backup testing
  • –Workflow design depends on implementation effort during onboarding
  • –API depth is not the primary focus compared with managed console workflows
  • –Restore validation still requires runbooks and operational coordination

Best for: Fits when teams need managed backup delivery with recovery workflow coordination across mixed workloads.

Conclusion

After evaluating 10 cloud based backup, Rackspace Technology stands out as our overall top pick — it scored highest across our combined criteria of features, ease of use, and value, which is why it sits at #1 in the rankings above.

Our Top Pick
Rackspace Technology

Use the comparison table and detailed reviews above to validate the fit against your own requirements before committing to a tool.

Frequently Asked Questions About Cloud Based Backup

How do Mimecast, Backblaze, and Acronis handle API access for backup automation?
Backblaze and Acronis both support automation by integrating backup management into existing operational workflows, which typically reduces manual console work. Mimecast focuses on email and archive protection workflows, so backup automation usually centers on message retention and export behaviors rather than broad infrastructure restore orchestration. Databarracks and NTT DATA lean more toward governed delivery patterns that tie operational control points to customer processes.
Which providers support RBAC and audit logging for backup administration?
IBM and NTT DATA emphasize centrally managed policy control and audit-ready operational trails, which aligns with RBAC needs in enterprise environments. Rackspace Technology and Kyndryl support role-aligned administration through managed service delivery, with audit visibility tied to operational ownership. CDW also provides governance through centralized administration patterns and operational reporting built around its managed delivery model.
How does data migration work when moving existing backup sets to a new cloud backup repository?
Databarracks supports governed onboarding that maps customer retention expectations to its stored backup lifecycle, which helps during migration planning. DataBank and Ensono typically migrate by aligning source agents and schedules first, then validating restore paths to ensure point-in-time recovery behaves as intended. IBM often requires deeper coordination across its enterprise data protection stack so migrated policies match existing infrastructure governance.
When does an air-gapped or offline copy requirement change the onboarding plan?
Rackspace Technology and Kyndryl treat offline copy goals as a workflow design constraint during setup, because restore ownership and operational runbooks must match the isolation model. Databarracks focuses on customer-controlled storage and governed deployment, which can simplify the mapping of an isolation requirement to account administration steps. CDW can add coordination overhead across existing IT processes when isolation needs span multiple teams.
Which providers offer application-aware protection for mail, servers, and databases?
Mimecast is designed around email archiving and protection workflows, so its application-aware behavior shows up in message retention and retrieval rather than general server capture. Acronis and Ensono focus on workload-centric backup behaviors across servers and application layers, which supports broader disaster recovery scenarios. IBM and NTT DATA emphasize managed orchestration across heterogeneous estates, which helps when multiple workload types require consistent recovery outcomes.
What breaks when backup administrators lose access to provisioning and configuration controls?
With managed delivery models like ePlus and Ensono, restore execution and schedule changes depend on service-led operational processes, so lost access can delay recovery actions. With IBM and NTT DATA, centralized policy control can reduce ambiguity, but misaligned RBAC can block changes needed for retention policy enforcement. Backblaze and Acronis can reduce that dependency when self-management tools remain available, but governance discipline still determines how quickly changes propagate.
How do restore testing workflows differ between DataBank and Acronis?
DataBank prioritizes predictable restore workflows built around operational recovery paths, so restore validation often follows its scheduled recovery expectations from onboarding onward. Acronis supports broader restore orchestration across workload types, which can make restore testing more flexible but also increases the need to validate each workload profile. Databarracks adds a governed deployment process that aims to keep restore readiness consistent across mixed Windows server estates.
When do bare-metal recovery and system-level restores require additional setup beyond file restores?
Acronis and Ensono often require environment-specific configuration for system-level recovery because bare-metal restore depends on compatible images and target provisioning steps. IBM and Kyndryl tie recovery planning to infrastructure and application tiers, so system-level restore readiness is handled through coordinated operational workflows rather than one-off restore operations. Rackspace Technology also treats restore ownership as a production workflow constraint, which can surface additional preparation needs during rollout.
Which service model fits teams that need minimal operational overhead for backup and restore ownership?
CDW, Ensono, and NTT DATA suit teams that want managed backup operations with restore coordination handled through service delivery. DataBank and ePlus also align with teams that need controlled restore workflows routed through operational processes instead of relying on self-serve changes. Backblaze and Acronis fit teams that can manage backup configuration and restore validation with less provider orchestration, which shifts operational overhead to the customer side.

Tools reviewed

Primary sources checked during evaluation.

Referenced in the comparison table and product reviews above.

How to Choose the Right Cloud Based Backup

We separate cloud based backup options by whether you can control restore outcomes, not just how data gets copied. Look closely at restore reliability, how retention is enforced, and what auditing and access controls exist in the console.

Restore performance and test workflow

Why it matters

Restore performance and a practical test workflow matter because “backed up” is only useful when you can actually recover files or workloads fast enough to meet your needs. Tools that show clear restore steps reduce surprises during real incidents.

How to check

In the demo, ask for a live restore of a small sample and time it end to end, including download or mount steps. Then ask how the product supports repeatable restore testing without extra engineering work.

Retention enforcement with deletion behavior

Why it matters

Retention enforcement with clear deletion behavior prevents accidental loss of older backups when you change policies or when storage ages out. It also helps you understand what survives after a retention window expires.

How to check

Request a retention setting you can adjust in the UI, then ask what happens to old versions when the window is shortened. Use the product’s reports or version list to confirm which backups remain after the change.

Encryption and key ownership options

Why it matters

Encryption and key ownership options affect who can decrypt data and how quickly access can be granted or revoked. This matters when teams separate duties or need strict control over cryptographic material.

How to check

Ask whether encryption keys are controlled by you or by the provider, and where key rotation is configured. Then verify in the console whether key status, access changes, and re-encryption events are visible.

RBAC and audit log coverage

Why it matters

RBAC and audit log coverage determine who can view data, trigger restores, and change configurations. When incidents happen, audit evidence helps you understand actions taken and by whom.

How to check

In the admin area, check for roles that distinguish backup administration from restore operations. Run a scenario where a user changes a setting and confirm the action appears in the audit log with timestamp and actor.

API and automation for lifecycle actions

Why it matters

API and automation for lifecycle actions reduces gaps between policy intent and what runs in production. It also helps teams integrate provisioning, reports, and change control into existing workflows.

How to check

Ask for API documentation covering policy creation, backup job status retrieval, and restore initiation or export. Then try a simple automation in the demo by generating a report or querying job status for a specific policy.

Bandwidth controls and job scheduling

Why it matters

Bandwidth controls and job scheduling affect backup windows and stability when networks are busy. When these controls are missing or limited, backups can become unpredictable and interfere with operations.

How to check

Check for configurable throttling and scheduling in the UI, then propose a constrained test window (e.g., overnight). Confirm whether you can see throughput over time and whether jobs pause or fail gracefully when limits are reached.

Red flags

  • Restore testing requires manual steps that aren’t repeatable
  • Retention changes don’t clearly show what versions disappear
  • Admin actions aren’t traceable in audit logs by user and time

Fit by situation

  • If you need predictable recovery during incidents, prioritize restore performance and test workflow.
  • If policy changes happen often, prioritize retention enforcement with deletion behavior.
  • If multiple teams manage backups and restores, prioritize RBAC and audit log coverage.
Commissioned Research

Funding and competing interests

This study was co-funded by several of the vendors assessed in it. No single vendor funded it. Funders could propose the market studied.

They had no role in selecting vendors, setting or weighting criteria, analysing data or drawing conclusions, and they received the same factual-accuracy check as every other vendor assessed.

Market definition, inclusion rules and criteria weights were fixed by an editor before research began and did not change afterwards. Editorial process →

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