The Illusion of 'Pay-as-you-go' with Hyperscalers

The 'pay-as-you-go' model, a cornerstone of public cloud offerings, initially appears to offer great flexibility and cost efficiency. However, for many organisations, this promise often dissolves into a complex web of charges that obscure the true cost of cloud storage. Hyperscalers typically break down their pricing into numerous components: storage capacity, data transfer (egress and ingress), API requests, data retrieval, and various management features. Each of these components can have its own tiered pricing, regional variations, and hidden minimums, making it difficult to predict monthly expenditure.

This complexity is exacerbated by the sheer volume of data and operations involved in modern cloud workloads. What might seem like a negligible per-gigabyte or per-request charge can quickly accumulate into substantial costs when scaled across petabytes of data and millions of API calls. A 2025 Gartner report highlighted that cloud costs are rising faster than most organisations can manage, with many struggling to gain visibility and accountability over their spend. This indicates that the 'pay-as-you-go' model, while flexible, often lacks the transparency needed for effective financial planning, leading to frequent budget overruns and a constant struggle to optimise cloud spend.

Furthermore, the reliance on multiple storage classes, each with different performance characteristics and pricing structures, adds another layer of complexity. While these tiers are designed to offer cost savings for specific use cases (e.g., infrequent access or archiving), misconfigurations or unexpected data access patterns can lead to significant retrieval fees and operational overheads. This intricate pricing structure often forces organisations to dedicate considerable resources to cloud financial management (FinOps) to understand and control their bills, diverting valuable time and expertise from core business innovation.

Deconstructing Hyperscaler Pricing: Egress Fees and Hidden Charges

One of the most significant contributors to unpredictable cloud storage costs from hyperscalers are egress fees. These are charges levied for transferring data *out* of a cloud provider's network, whether to the public internet, another cloud region, or even to an on-premises data centre. While data ingress (transferring data *into* the cloud) is typically free, egress fees can quickly escalate, often accounting for a substantial portion of a cloud bill. For instance, AWS S3 Standard storage in Europe might charge around $0.09 per GB for data transfer out to the internet, with rates potentially varying based on volume. Azure's internet egress fees from Europe can range from $0.087 to $0.05 per GB, depending on volume. Google Cloud Platform (GCP) can charge approximately $0.12/GB for the first 1 TB of internet egress, with tiered reductions for higher volumes.

Beyond egress, hyperscalers also impose charges for API requests. Every interaction with your stored data – such as uploading (PUT), downloading (GET), or listing objects (LIST) – incurs a small fee. While individually minuscule, these charges can accumulate rapidly, especially for applications with high transaction volumes or frequent data access. For example, AWS S3 charges for PUT, COPY, POST, and LIST requests, with GET requests often having a lower rate. GCP also categorises API operations into Class A (e.g., adding or listing objects) and Class B (e.g., reading objects), with varying costs per 10,000 operations, which can differ by storage class.

Furthermore, tiered storage models, while offering lower per-GB storage costs for less frequently accessed data, often introduce retrieval fees and minimum storage durations. If data stored in an 'infrequent access' or 'archive' tier is accessed more often than anticipated, or deleted before a minimum retention period (e.g., 30, 90, or 180 days), organisations face unexpected charges. For example, AWS S3 Standard-Infrequent Access has retrieval fees and a minimum billable object size. GCP's Nearline, Coldline, and Archive storage classes incur retrieval fees and minimum storage durations. These hidden costs make it challenging to accurately forecast expenditure and can lead to significant budget overruns, undermining the perceived flexibility of cloud storage.

Calculating the True Cost of Ownership (TCO) for Cloud Storage

Understanding the true cost of ownership (TCO) for cloud storage extends far beyond the advertised per-gigabyte rates. A comprehensive TCO analysis must account for all direct and indirect costs associated with storing, managing, and accessing data in the cloud. This includes not only the raw storage capacity and data transfer fees but also the operational overhead of managing complex billing, optimising resource usage, and ensuring compliance. Gartner research from 2025 indicates that cloud wastage can make up more than 25% of global cloud spend, much of which is avoidable.

Consider the following elements when calculating TCO:

• Storage Capacity: The base cost per GB, but factoring in different storage classes and their associated minimums and retrieval charges.
• Data Transfer (Egress/Ingress): The often-underestimated cost of moving data out of the cloud or between regions. This can be a major variable, especially for backup and disaster recovery scenarios.
• API Requests: Charges for PUT, GET, LIST, and other operations, which accumulate with high transaction volumes.
• Management & Monitoring: Costs associated with tools and personnel required to monitor usage, allocate costs, and implement FinOps strategies. Forrester highlights the importance of visibility and allocation in cloud cost management.
• Compliance & Security: The investment in ensuring data sovereignty, GDPR adherence, and robust security measures, including potential costs of non-compliance (e.g., GDPR fines).
• Vendor Lock-in: The potential future costs and complexities of migrating data away from a provider due to high egress fees or proprietary formats. The EU Data Act aims to address this by phasing out switching charges.

Organisations must move beyond a superficial comparison of storage rates and adopt a holistic view of their cloud expenditure. Failing to account for these hidden and indirect costs can lead to significant budget discrepancies and undermine the perceived cost benefits of cloud adoption. A robust TCO analysis provides the clarity needed to make informed decisions and select a cloud storage solution that aligns with financial objectives.

The Impact of Data Sovereignty and Compliance on Cloud Costs

For European organisations, the discussion around cloud costs is inextricably linked with data sovereignty and regulatory compliance. Frameworks such as the GDPR, the UK Data Protection Act (DPA 2018), and the NIS-2 Directive impose strict requirements on how personal and critical data is stored, processed, and transferred. Non-compliance can result in severe financial penalties, significantly impacting the overall cost of cloud operations. GDPR fines can reach up to €20 million or 4% of global annual turnover, whichever is higher, with notable fines issued against major corporations.

The NIS-2 Directive, which came into force in October 2024, expands cybersecurity requirements to a broader range of 'essential' and 'important' entities, including digital infrastructure providers. Compliance with NIS-2 involves significant investment in cybersecurity measures, risk management, and incident reporting. Initial budget projections often underestimate implementation expenses, with mid-sized companies typically investing €200,000-€600,000 in first-year compliance. Furthermore, C-level executives can be held personally liable for security failures, adding another layer of risk and potential cost.

Choosing a cloud provider whose infrastructure and legal domicile are outside the EU can introduce additional compliance complexities and risks, particularly concerning extraterritorial access laws like the US CLOUD Act. While hyperscalers offer EU regions, the ultimate jurisdiction often remains tied to their country of origin. This can necessitate complex data processing agreements and legal counsel, adding to operational costs and potentially exposing organisations to legal challenges. Ensuring data remains within EU jurisdiction, 'sovereign by design,' eliminates these legal ambiguities and provides greater cost certainty by mitigating the risk of compliance-related fines and legal battles.

A Comparison Framework for Predictable Cloud Storage Costs

To achieve predictable cloud storage costs, organisations need a clear framework for evaluating providers that moves beyond headline storage rates. This framework should prioritise transparency, simplicity, and alignment with European regulatory requirements. The table below outlines key comparison criteria, contrasting the typical hyperscaler model with an alternative designed for cost predictability and sovereignty.

This comparison highlights a fundamental difference in approach. While hyperscalers offer granular control and a vast array of services, their pricing models often prioritise flexibility at the expense of predictability. An alternative model focuses on simplifying the cost structure to provide clear, upfront pricing, eliminating the hidden variables that plague traditional cloud billing.

Impossible Cloud: Sovereign by Design, Predictable by Design

For European organisations seeking financial clarity and digital sovereignty, Impossible Cloud offers an S3-compatible object storage solution built on a different philosophy: predictable cloud storage costs. Our model eliminates the hidden fees and complex tiers that characterise hyperscaler pricing, providing a transparent and straightforward approach to cloud expenditure. We believe that organisations should have Full Control. Zero Surprises. over their cloud infrastructure.

At the core of Impossible Cloud's offering is a commitment to a predictable pricing structure. This means no egress fees, no API call costs, and no minimum storage duration. Your bill is based solely on the amount of data you store, making it easy to forecast and manage your cloud budget. This transparent approach is particularly beneficial for use cases such as backup and disaster recovery, long-term archiving, and ransomware protection, where data retrieval and transfer patterns can be unpredictable with traditional providers. Our S3-compatible object storage ensures that your existing applications and workflows integrate seamlessly, without requiring costly re-architecture.

Beyond cost predictability, Impossible Cloud is Sovereign by design. Our infrastructure is operated exclusively in certified European data centres, ensuring your data remains under EU jurisdiction and is protected by GDPR and the UK Data Protection Act (DPA 2018). This eliminates concerns about extraterritorial access laws, such as the US CLOUD Act, providing the legal certainty European enterprises demand. With certifications like ISO 27001 and SOC 2 Type II, we provide a robust and compliant foundation for your data, allowing you to focus on innovation rather than navigating complex regulatory landscapes. You can learn more about our approach to cloud storage solutions on our blog.

This predictable-by-design approach extends to our pricing model, which is designed to provide consistent, transparent costs. For Managed Service Providers (MSPs), this translates into stable, defensible margins for their Backup-as-a-Service (BaaS) and archiving solutions, free from the volatility of unexpected egress or API charges. Our customer success stories, such as with the DIPF Leibniz Institute, demonstrate how organisations are already benefiting from this clarity and control.