9 When evaluating an object storage system, look for scalable architecture, high data durability, strong S3 compatibility, cyber resilience, consistent performance, high availability, flexible data protection, simple management and predictable costs. These capabilities determine whether an object storage platform can continue meeting requirements as data volumes, applications and infrastructure change. They are particularly important for organizations managing large amounts of unstructured data for backup, AI, analytics, cloud-native applications, media and long-term retention. Object storage is designed around a fundamentally different model from traditional file and block storage. Data is stored as objects with associated metadata and accessed through APIs rather than through a conventional hierarchical file system. Amazon S3 helped establish the S3 API as the dominant interface for object storage, and S3-compatible storage now enables organizations to use this model across public cloud and on-premises infrastructure. Here are the most important features to consider when comparing object storage systems. 1. Scalability Scalability is one of the primary reasons organizations adopt object storage. A well-designed object storage system uses a distributed, scale-out architecture that allows capacity to increase by adding resources rather than replacing an existing storage array. This approach is well suited to environments where data may grow from hundreds of terabytes to multiple petabytes or beyond. However, capacity is only one dimension of scalability. As an environment expands, the storage platform may also need to scale: Aggregate throughput Requests or operations per second Object counts Metadata Applications and workloads Users and tenants Geographic locations Storage hardware This distinction becomes increasingly important for AI, analytics and other data-intensive applications. Adding capacity alone does not necessarily increase the performance or metadata capabilities required by the workload. Look for an architecture that can scale without disruptive migrations, forklift upgrades or extensive reconfiguration. Scality RING, for example, uses a scale-out architecture designed to independently expand capacity, performance and other infrastructure dimensions as requirements change. 2. Data durability Durability describes the ability of a storage system to preserve data accurately over time despite hardware failures and other infrastructure problems. Enterprise object storage platforms typically achieve durability by distributing data across multiple drives, servers, racks or locations using technologies such as replication or erasure coding. Erasure coding can provide particularly efficient protection at large scale because it divides data into fragments and adds parity information. The system can reconstruct an object when individual components fail without maintaining several complete copies of every object. When comparing platforms, examine both the advertised durability level and the architecture used to achieve it. For perspective, Amazon S3 Standard is designed for 99.999999999% — or 11 nines — of object durability and distributes data across multiple devices and Availability Zones. Organizations operating their own object storage infrastructure should similarly consider how the platform handles drive, server, rack, site and potentially regional failures. 3. S3 API compatibility The S3 API has become a widely adopted interface for object storage. Strong S3 compatibility allows applications originally designed for Amazon S3 to interact with another object storage platform with fewer modifications. It also expands the range of backup, analytics, AI, data management and cloud-native applications that can use the storage environment. But vendors can mean different things when they describe a product as “S3 compatible.” Basic support for PUT and GET operations may be sufficient for simple applications, while enterprise environments often depend on more advanced capabilities such as: S3 Object Lock Versioning Lifecycle management Replication Encryption Bucket policies Identity and access management Multipart uploads Evaluate compatibility against the applications and workflows you expect to use rather than relying only on an S3-compatible label. Scality RING supports S3 bucket and object operations along with advanced capabilities including Object Lock, replication, lifecycle management, versioning and encryption. 4. Cyber resilience and immutability Security requirements for storage have changed substantially as ransomware attackers increasingly target backup and recovery infrastructure. An enterprise object storage system should therefore provide protection mechanisms that extend beyond basic authentication. Immutability is particularly important for backup, archive and other critical datasets. S3 Object Lock can prevent objects from being changed or deleted during a defined retention period, helping maintain a recoverable copy even when credentials or upstream systems are compromised. Security controls to evaluate include: S3 Object Lock Role-based access controls Identity and access management Multi-factor authentication Encryption at rest Encryption in transit Key management integration Audit logging Administrative separation Secure multi-tenancy Organizations should also examine where these controls are implemented. Protection that depends entirely on a single administrative layer can create additional exposure if highly privileged credentials are compromised. Scality’s CORE5 cyber resilience model combines S3 Object Lock immutability with encryption, identity and access controls, metadata protection, erasure coding and multi-site protection. 5. Performance that matches the workload Object storage is used for an increasingly broad range of workloads, so there is no single performance metric that determines whether a platform is fast enough. Backup environments may prioritize sustained throughput for large backup and restore operations. AI environments may require high concurrency and low latency to keep compute resources supplied with data. Cloud applications may generate very large numbers of simultaneous object requests. Evaluate performance based on metrics relevant to the workload, including: Throughput Latency Operations per second Concurrent connections Small-object performance Large-object performance Read/write ratios Performance as capacity grows Peak benchmark numbers can be misleading. Performance should be tested at realistic concurrency levels and over sustained periods because cache behavior, queue depth and system saturation can substantially affect results. Also determine whether performance can scale independently from capacity. This can help avoid adding unnecessary storage simply because an application requires more throughput. 6. High availability and fault tolerance Object storage often becomes a shared data layer for many applications. An outage can therefore affect multiple services simultaneously. A resilient object storage architecture should continue operating when individual infrastructure components fail. Look for protection against failures involving: Drives Servers Network interfaces Racks Data centers Entire sites Distributed architectures can spread data and services across multiple failure domains, reducing reliance on individual hardware components. For business-critical workloads, evaluate whether the platform supports multi-site configurations, replication or stretched architectures that can maintain access during larger infrastructure failures. 7. Flexible data protection and disaster recovery Durability and disaster recovery address related but different risks. Erasure coding can protect against hardware failures inside a storage environment, while replication to another site provides protection against larger events affecting an entire facility or infrastructure domain. An enterprise object storage platform should provide multiple protection options so organizations can align resilience with application requirements. Useful capabilities include: Erasure coding Local replication Multi-site replication Geographic replication Versioning Object Lock Disaster recovery policies Cloud replication or tiering The appropriate combination depends on recovery point objectives, recovery time objectives, data criticality and cost. Scality RING supports multi-site architectures and asynchronous replication to remote Scality systems, public clouds or other storage tiers. 8. Hybrid and multi-cloud data mobility Many organizations operate data across private infrastructure and one or more public clouds. Object storage can provide a consistent data layer across these environments, but interoperability varies considerably between products. Evaluate whether the system can move, replicate or tier data between: On-premises infrastructure Secondary data centers Edge locations Public clouds Archive tiers Also consider how much application change is required when data moves. Broad S3 compatibility can simplify hybrid-cloud strategies because applications can continue interacting with storage through a familiar API. Some platforms also provide policy-driven lifecycle management that automatically transitions objects between locations. Scality RING provides a hybrid-cloud namespace designed to support replication and lifecycle transitions between Scality storage, supported public clouds and other storage targets. 9. Manageability and automation Large storage environments can become expensive to operate if every expansion, failure or software update requires significant administrator involvement. Management capabilities should therefore be evaluated alongside raw storage specifications. Look for features such as: Centralized monitoring Capacity forecasting Automated data rebalancing Self-healing Hardware health monitoring Non-disruptive upgrades Policy-based lifecycle management REST APIs and automation tools Detailed alerts and observability A scalable architecture should ideally keep administrative overhead from growing at the same rate as stored data. This becomes especially important at petabyte and exabyte scale, where manually managing individual storage devices is impractical. 10. Cost efficiency and hardware flexibility Cost comparisons should consider the full lifecycle of the storage environment rather than acquisition price alone. Relevant costs include: Storage hardware Software licensing Networking Data center space Power and cooling Administration Hardware refreshes Data migration Cloud capacity and egress charges Software-defined object storage can provide additional flexibility by separating storage software from proprietary hardware. This enables organizations to use industry-standard servers and adopt newer hardware generations as infrastructure is expanded or refreshed. A scale-out approach can also allow organizations to add capacity incrementally instead of purchasing large amounts of unused storage in advance. How do you choose the right object storage system? Start with the workload rather than the storage specification sheet. A backup repository, AI data platform, long-term archive and cloud application may all use object storage, but their requirements can differ considerably. When evaluating vendors, ask: How far can the architecture scale without migration or redesign? What durability mechanisms protect data when hardware fails? How complete is the implementation of the S3 API? Can critical data be made immutable with S3 Object Lock? How does performance behave under sustained, realistic workloads? What happens when a drive, server, rack or site fails? Can capacity and performance scale independently? What options exist for replication and disaster recovery? How easily can data move between on-premises and cloud environments? What is the expected total cost as the environment grows? Testing these requirements with representative workloads can reveal architectural differences that are difficult to identify from specifications alone. Scality object storage for enterprise data Scality provides software-defined S3 object storage designed for large-scale enterprise environments. Scality RING combines scale-out object and file storage with comprehensive S3 API support, erasure coding, multi-site data protection, hybrid-cloud capabilities and hardware flexibility. Its architecture is designed to scale across multiple dimensions as application and infrastructure requirements change. Security and recoverability are addressed through Scality CORE5 cyber resilience, which combines S3 Object Lock immutability with identity and access controls, encryption, metadata protection, durable erasure coding and multi-site protection. For organizations evaluating an object storage system, the key consideration is how these capabilities work together. Scalability matters when durability and performance remain consistent as the environment grows; S3 compatibility matters when the required applications and APIs are supported; and immutability is most effective as part of a broader cyber-resilience and recovery architecture. The result is an object storage platform that can provide a durable, scalable and secure foundation for growing volumes of unstructured data.
