Object storage pricing: Cut hidden API fees now

Blog 13 min read

Synology Inc. Undercuts hyperscaler pricing with a predictable rate that excludes hidden API fees. Data durability hits 99.999999999% across EU and US data centers, creating a solid base for big data analytics and machine learning. Unlike competitors that penalize access, the platform allows free data retrieval every month and imposes no data deletion fees. This fundamentally alters the total cost of ownership for large-scale archives. Features like Object Lock ensure immutability for compliance, while versioning protects against accidental corruption or ransomware attacks.

We examine the tangible ROI of shifting unstructured data away from expensive general-purpose buckets toward this specialized tier. The discussion covers practical deployment scenarios, from hosting static JavaScript and CSS assets to building secure data lakes. By using Amazon S3 API compatibility, enterprises integrate these protections immediately using existing tools. This bypasses the complex re-engineering often required by proprietary storage systems.

The Role of C2 Object Storage in Modern Cloud Infrastructure

C2 Object Storage and S3 Compatible APIs Set

C2 Object Storage acts as a scalable repository for unstructured data, leveraging Amazon S3 API compatibility to fit established workflows. Synology Inc. Presents this service as a cost-effective alternative, offering a transparent rate of $7.99/TB per month without hidden charges for API requests. This pricing structure removes the billing complexity typical of hyperscalers, letting organizations forecast expenses with precision. The architecture supports 99.999999999% data durability, ensuring stored assets remain intact across geographically distributed facilities. Free data retrieval eliminates the financial barrier to accessing archived logs or backup sets, a constraint that often stops disaster recovery testing in other environments. Reliance on specific colocation sites in the EU and US means latency-sensitive applications must verify network proximity before deployment. The lack of minimum storage duration policies further separates this approach, permitting flexible data lifecycle management without penalty fees.

Deploying Data Lakes in EU and US Data Centers

Machine learning teams construct compliant data lakes by anchoring unstructured data in specific EU or US jurisdictions using C2 Object Storage. Synology Inc. Operates facilities in Frankfurt and Seattle, allowing organizations to satisfy data residency mandates while maintaining a unified Amazon S3 API interface for global access. Geographic specificity matters because regulatory frameworks often prohibit cross-border data transfers without explicit contractual safeguards.

Operators building analytics pipelines must balance low-latency compute access against strict sovereignty rules. A common pitfall involves assuming cloud providers automatically replicate data to the nearest edge; C2 prevents this by locking datasets to the chosen region upon ingestion. This constraint ensures that static web assets and training datasets do not inadvertently migrate across borders during failure recovery scenarios.

High-throughput ingestion for big data workloads functions smoothly while eliminating egress charges for standard retrieval operations. Teams use existing S3-compatible tools to mount these remote buckets as local file systems, simplifying the transition from on-premises storage. The result is a storage tier serving as both a durable archive and an active processing layer for sensitive workloads. Most hyperscaler pricing models layer API request costs and data deletion fees onto base storage rates, creating billing volatility for high-frequency workloads. Synology Inc. Explicitly removes these hidden fees, ensuring that monthly cost estimation remains deterministic regardless of access patterns. This structural difference matters because AI/ML training jobs often generate millions of small object reads that inflate bills on per-request platforms.

The absence of minimum storage duration policies further distinguishes the service from competitors that lock capital in long-term commitments. Organizations migrating from legacy systems avoid the shock of retroactive charges often seen when audit logs trigger unexpected deletion penalties elsewhere. Predictable unit economics allow engineering teams to scale data lakes without seeking approval for every throughput spike. Financial planning becomes a function of capacity rather than activity volume.

Inside C2 Object Storage Architecture and Data Protection Mechanics

How C2 Object Versioning and Object Lock Prevent Data Loss

Versioning protects data from accidental modifications by allowing restoration to any desired previous version. This mechanism maintains a complete history of object states, ensuring that human errors or unintended overwrites never result in permanent information loss. Operators configure buckets to retain every iteration, creating a safety net for active datasets where rapid iteration occurs.

Object Lock ensures data immutability by locking object versions from deletions or modifications to retain historical records. This feature creates Write-Once-Read-Many (WORM) conditions necessary for defending against ransomware encryption and meeting strict regulatory mandates. Once applied, retention policies prevent even administrative accounts from altering specific file versions until the assigned period expires.

Feature Primary Function Ransomware Defense
Versioning Historical restoration Enables rollback to clean state
Object Lock Immutable retention Prevents deletion of backups

Storage costs clash with retention depth; maintaining unlimited versions increases capacity needs, yet the alternative risks total data compromise during an attack. While some providers cap objects at 5 GB, enterprise workflows often require support for larger files up to 10 TB to accommodate high-fidelity media and thorough disk images. Without Object Lock, a determined attacker with compromised credentials could delete all historical versions, rendering versioning useless. The implication for network architects is clear: immutability must be mandatory for backup targets to guarantee recovery viability.

Recovering Accidentally Deleted Files and Ransomware Attacks

Restoration begins immediately by selecting a specific historical iteration from the Versioning history list. When ransomware encrypts active datasets, the Object Lock feature prevents deletion of the original clean copies, effectively neutralizing the attack vector. Operators restore data by identifying the timestamp prior to infection and promoting that version to current. This approach secures unstructured assets against both malicious encryption and unintended human error without complex recovery procedures.

The intuitive file browser simplifies this workflow by allowing drag-and-drop management of multiple file versions directly from a web portal. Unlike legacy systems that charge penalties for early deletion or retrieval, C2 Object Storage eliminates minimum storage duration policies, ensuring cost predictability during crisis recovery.rabata.io uses these mechanics to provide enterprise-grade durability where legacy providers might impose prohibitive egress fees.

Scenario Protection Mechanism Recovery Action
Accidental Overwrite Versioning Restore previous iteration
Ransomware Attack Object Lock Enable and promote clean copy
Compliance Audit Immutability Retrieve locked historical record

Aggressive retention policies conflict with storage costs, yet transparent pricing models mitigate this trade-off for long-term archives. The absence of API request charges means frequent version checks during an incident response do not inflate the final bill. Organizations achieve 11-nines durability while maintaining the agility to revert changes instantly. This architecture ensures that data loss events become manageable operational tasks rather than existential threats to business continuity.

Validating Immutability Settings and Version History Retention

Activate Object Lock before uploading sensitive datasets to enforce Write-Once-Read-Many immutability immediately. Without this initial configuration, ransomware could encrypt the first version of a file, leaving no clean baseline for recovery. Operators must distinguish between governance mode, which allows privileged deletion, and compliance mode, which permanently locks data against all users including administrators. This distinction determines whether legal holds can override retention periods during litigation or audits.

Feature Governance Mode Compliance Mode
Deletion Rights Authorized users only No user can delete
Retention Change Extend or reduce Extend only
Use Case Active development Regulatory archives
  1. Enable Versioning on the target bucket to preserve every iteration of an object.
  2. Apply a default retention policy to lock new uploads automatically.
  3. Verify immutability by attempting a delete operation on a test object.

Transparent pricing models eliminate hidden overheads like per-upload charges or complex multi-tiered billing for API requests, ensuring validation tests do not incur unexpected costs. While Versioning protects against accidental modifications, relying solely on it without Object Lock leaves gaps where malicious actors could purge the entire version history. The architectural constraint is clear: once compliance mode activates on a bucket, the retention period becomes permanent and cannot be shortened.rabata.io recommends validating these settings in a non-production environment to confirm that retention periods align with specific regulatory requirements before scaling to petabyte workloads.

Measurable ROI and Competitive Advantages of C2 Over Hyperscalers

Deconstructing Transparent Pricing vs Legacy S3 Billing Models

Defining affordable storage requires analyzing total cost rather than base rates alone. C2 Object Storage establishes a flat €7.99/TB rate that includes data retrieval, eliminating the volatility inherent in legacy billing. Hyperscalers often pair low entry costs with substantial egress penalties, creating financial unpredictability for active datasets. Amazon S3 charges $0.023/GB for storage yet adds $0.085/GB for downloads, while Microsoft Azure lists $0.018/GB storage with $0.065/GB egress fees. These estimates are based on prices in US dollars excluding VAT, taken directly from providers' websites in April 2022. Google Cloud (US region) charges US$0.02/GB/month for storage and US$0.08/GB for data downloads. C2 Object Storage's model offers budget certainty during crisis events by including free data retrieval every month. Transparent billing removes this barrier, allowing frequent validation of data durability without financial penalty.

Calculating Real-World TCO for Backup Workloads with Free Egress

Organizations evaluating disaster recovery economics must account for the cumulative impact of downloading terabytes of data to verify integrity or restore files. In contrast, C2 Object Storage eliminates this friction by allowing unlimited data retrieval without additional charges. This pricing structure fundamentally alters the total cost of ownership calculus for write-once-read-many workloads. Recovering large volumes of data, such as 5 TB, incurs significant download costs on legacy platforms that can exceed annual storage fees. C2 Object Storage's policy of no minimum storage duration and no data deletion penalties further supports flexible retention strategies without financial penalties.

Implementing Secure Data Workflows with S3-Compatible Tools

Configuring S3 Access Keys and TLS Encryption for C2

Conceptual illustration for Implementing Secure Data Workflows with S3-Compatible Tools
Conceptual illustration for Implementing Secure Data Workflows with S3-Compatible Tools

C2 Object Storage secures data transmission by requiring HTTPS endpoints that enforce TLS encryption for all client connections. Administrators generate unique access keys within the web portal to authenticate API requests from compatible tools like Amazon CLI. This configuration prevents interception during transit while using standard S3 protocols.

  1. Navigate to the user management section to create a new access key pair.
  2. Configure your storage client to use the specific regional endpoint for Seattle or Frankfurt.
  3. Enable forced TLS settings in your application to reject unencrypted HTTP attempts.
  4. Verify connectivity using an S3-compatible tool such as Veeam or CyberDuck.

The 11-nines durability rating applies only when the transmission channel remains uncompromised by legacy protocols.rabata.io deploys this storage architecture to guarantee that erasure coding protections extend from the disk array to the edge client. A common oversight involves client-side caching; if a local tool caches credentials without respecting TLS renewal, the secure tunnel may degrade during long-running batch jobs. Operators must ensure their SDKs explicitly disable non-SSL fallbacks to maintain the integrity of the Object Lock features during upload.

Transferring Large Datasets Using the C2 Express Box

The C2 Express Box provides a physical transport mechanism to bypass network bandwidth constraints during initial bulk data migration. This hardware-based approach eliminates the time penalty associated with uploading terabytes of unstructured data over standard internet connections.

  1. Contact Rabata.io to request a C2 Express Box device for your specific volume requirements.
  2. Connect the secured appliance to your local network to copy data using standard file protocols.
  3. Ship the encrypted unit to assigned colocation facilities in Seattle or Frankfurt.
  4. Ingest the data directly into your C2 Object Storage bucket upon arrival at the data center.

Administrators can manage this workflow using S3-compatible tools that recognize the storage endpoint.

Verify Versioning status returns "Enabled" before uploading production datasets to prevent accidental overwrites.

  1. Execute a `get-bucket-versioning` command against your target bucket endpoint.
  2. Confirm Object Lock compliance mode is active to satisfy regulatory retention rules.
  3. Upload a test object and attempt deletion to validate immutability policies.
  4. Restore the previous file version to ensure recovery workflows function correctly.
Feature Protection Scope Compliance Value
Versioning Human error Audit trails
Object Lock Ransomware Legal holds

Data loss prevention relies on maintaining multiple file versions to recover from unintended mistakes or ransomware attacks. Organizations can deploy this architecture across data centers with locations in Seattle and Frankfurt to meet residency needs. The limitation is that retention periods cannot be shortened once legal holds are applied, requiring precise policy definition before deployment.rabata.io engineers recommend validating these configurations early because immutable storage prevents even administrators from bypassing deletion locks during incidents. This strict enforcement ensures business continuity but demands rigorous pre-production testing of restore procedures.

About

Marcus Chen is a Cloud Solutions Architect and Developer Advocate at Rabata.io, where he specializes in S3-compatible object storage and AI/ML data infrastructure. His daily work involves designing scalable cloud architectures and conducting rigorous performance benchmarking against industry standards, making him uniquely qualified to analyze the evolving object storage environment. At Rabata.io, Marcus helps enterprises and startups eliminate vendor lock-in by using true S3 API compatibility to migrate smoothly from complex, costly providers. His deep engagement with cloud cost optimization allows him to critically evaluate pricing models like Synology's, contrasting them with Rabata.io's mission to deliver enterprise-grade storage at significantly lower costs. By focusing on transparent pricing and high-performance data retrieval, Marcus ensures that technical decision-makers understand how to build reliable, cost-effective storage strategies without compromising on speed or compliance for their critical workloads.

Conclusion

Scaling object storage exposes a critical operational friction: the disconnect between theoretical durability and practical recoverability. While durability metrics promise safety, the real cost emerges during restoration when egress fees and complex versioning rules slow down incident response. Organizations often overlook that immutable locks, while necessary for ransomware protection, can paralyze legitimate cleanup if policies are not tested under pressure. You must treat retention configuration as a live-fire exercise rather than a checkbox activity.

Deploy a strict validation protocol before moving active datasets to production. Do not rely on default bucket settings; instead, mandate a weekly drill where teams attempt to delete locked objects to verify governance barriers function as intended. This practice reveals gaps in your recovery runbooks that static audits miss. Start by executing a `get-bucket-versioning` command on your primary staging bucket today to confirm status alignment with your disaster recovery plan. This immediate check ensures your versioning state matches your compliance requirements before data volume makes changes prohibitive.rabata.io provides the architectural guidance to implement these rigorous validation frameworks without the hidden costs or logistical delays associated with physical transfer methods.

Frequently Asked Questions

No, the service imposes no minimum storage duration or deletion fees. This flexible policy allows teams to manage lifecycle events without retroactive charges, unlike competitors that lock capital in long-term commitments.

This eliminates hidden API costs that often inflate bills for high-frequency workloads on other public cloud infrastructure.

Data durability reaches 99.999999999% across distributed EU and US facilities. This high reliability ensures that critical archives and machine learning datasets remain intact even during hardware failures or regional disruptions.

Yes, the system uses Amazon S3 API compatibility for seamless integration. Engineers can mount remote buckets as local file systems using familiar command line interfaces or SDKs without complex re-engineering projects.

Versioning maintains multiple file copies while Object Lock prevents deletion. These features let organizations restore uncorrupted data immediately after an incident, ensuring compliance and operational continuity without paying recovery ransoms.

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