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Protect your data with verifiable cloud storage.

Delivering secure, resilient, enterprise-class cloud
storage across any combination of systems

Many businesses struggle when choosing a backup and recovery solution due to the variety of options available in the market. It can be challenging to assess which solution best fits a company's specific needs and budget. Evaluating the scalability, ease of implementation, and compatibility with existing systems are crucial factors to consider.

SteelDome Backup & Recovery Solutions

Solve your backup & recovery challenges with StratiStor

With StratiStor, SteelDome delivers a robust solution to safeguard data from cyber attacks, offering secure and resilient protection with verifiability. StratiStor defends against ransomware and can be seamlessly deployed on any infrastructure; ensuring the integrity and security of your data, providing a reliable defense against the evolving threat landscape of cyber attacks.

Introducing StratiStor by SteelDome

  • Leverages local disks and/or cloud backed resources
  • Rapid provisioning and deployment
  • Unlimited scalability
  • Access over universal common protocols
  • Linear high performance scaling (>Gb/sec)
  • High availability (N+X)
  • Start small, grow as you go
  • Supports hyperconvergence (VMs and containers)
  • Decouples data, eliminating all hardware dependencies
  • Granular, modular, and non-disruptive refresh cycle
  • On demand and infinite scaling
  • No data migrations
StratiStor Storage Cluster
SteelDome Data Resilience

Why Cluster Storage


Data Integrity Assurance: Redundancy in storage clusters guarantees data integrity by replicating data across multiple nodes, minimizing the risk of corruption or loss due to hardware failures or other disruptions.

Enhanced Data Protection: With data replicated across multiple nodes, clustered storage systems offer robust protection against data loss. Even if one node fails, the redundant copies ensure seamless access to data, maintaining business continuity.

Fault Tolerance: Redundancy provides fault tolerance, allowing storage clusters to continue functioning without disruption in the event of node failures or maintenance activities. This resilience ensures uninterrupted access to critical data and applications, minimizing downtime and maximizing productivity.


Flexible Expansion: The redundancy in storage clusters enables seamless scalability as data volumes grow. New nodes can be effortlessly integrated into the cluster, expanding storage capacity without disrupting ongoing operations. This flexibility allows businesses to adapt to changing storage requirements without costly infrastructure overhauls.

Improved Performance: As additional nodes are added to the cluster, the workload is distributed across a larger infrastructure, enhancing performance and throughput. Redundancy ensures that data is replicated efficiently across the expanded cluster, optimizing access times and reducing latency. This scalability not only accommodates growing data demands but also ensures consistent performance levels for users and applications.

Economic Efficiency: Scalability through cluster redundancy offers economic benefits by enabling organizations to incrementally increase storage capacity as needed. Rather than investing in large-scale upgrades preemptively, businesses can scale their storage infrastructure in alignment with actual usage patterns. This cost-effective approach minimizes upfront expenditures while maximizing the return on investment, making clustered storage an attractive solution for businesses of all sizes.

Fault Tolerance

Continuous Availability: Fault tolerance in storage clusters ensures continuous availability of data, even in the event of server failures. With redundant copies distributed across multiple nodes, the data remains accessible through other healthy nodes, minimizing downtime and ensuring uninterrupted access for users and applications.

Resilient Data Retrieval: Each node in the cluster contains redundant copies of data, providing resilience against hardware failures or system crashes. In the event of a server failure, the data can be retrieved from other available nodes, maintaining data integrity and preserving business operations without interruption.

Enhanced Reliability: Fault tolerance mechanisms in storage clusters enhance reliability by safeguarding against single points of failure. By distributing redundant data copies across the cluster, organizations mitigate the risk of data loss or unavailability due to hardware malfunctions, ensuring business continuity and preserving critical operations

Continuous Operations

Uninterrupted Data Accessibility: Continuous operation is a hallmark of clustered storage systems, as they can withstand network outages or server failures without compromising data accessibility. When a failure occurs, remaining nodes seamlessly take over the responsibilities of the affected components, ensuring uninterrupted access to data for users and applications.

Automatic Failover: In the event of a network outage or server failure, clustered storage systems employ automatic failover mechanisms to maintain continuous operation. Redundant nodes within the cluster are ready to step in and fulfill the duties of failed components, ensuring that data remains available and services remain operational without manual intervention.

High Availability Architecture: Clustered storage architectures are designed for high availability, utilizing redundancy to distribute data across multiple nodes. This distributed nature ensures that even if individual components fail, the system as a whole remains operational, providing continuous access to data and preserving business continuity in the face of unexpected disruptions.

The Next Generation
Enterprise Storage System

StratiStor is a truly hardware-independent, massive-scale enterprise-grade storage platform delivering complete control and flexibility over the storage architecture, meeting the demands of intensive next generation workloads.
Read the Whitepaper: Unlocking the Global Datasphere