Data Platforms 15 February 2025 · 5 min read

Cost Efficiency vs Hyperscale: Rethinking Enterprise Data Infrastructure

Justin Gane CEO, 1Digit

Hyperscaler data warehousing is powerful but expensive. For most enterprise workloads, European sovereign alternatives deliver equivalent capability at a fraction of the cost.

Hyperscaler data warehousing is powerful. Snowflake, Databricks, and BigQuery have transformed how organisations work with data. But they come with significant costs that many enterprises are only now beginning to fully understand.

The Hidden Costs of Hyperscale

Beyond the headline pricing, hyperscaler data platforms carry costs that compound over time.

Compute charges that scale faster than data volume
Egress fees that penalise data movement
Licensing complexity that makes budgeting unpredictable
Vendor lock-in through proprietary formats and APIs

For many enterprise workloads, hyperscaler costs exceed the value delivered.
— 1Digit Platform Economics Research

The European Alternative

European cloud providers like IONOS offer enterprise-grade infrastructure at significantly lower cost points.

Lower base pricing — European cloud economics without hyperscaler margins
No egress fees — within-network data movement at no additional cost
Open standards — no proprietary format lock-in
Sovereign data — GDPR-compliant by design, no transatlantic transfers

Smart Lakehouse on IONOS

At 1Digit, we have architected the Smart Lakehouse on IONOS — a managed data platform that delivers enterprise analytics and AI capability at a fraction of hyperscaler costs. Built on open-source technologies including Trino, Apache Kafka, and Apache Iceberg.

Managed lakehouse environment
Distributed SQL query engine
Self-service analytics
AI/ML pipeline integration
Full governance and observability

Making the Switch

Transitioning from a hyperscaler to a more cost-efficient platform does not have to be disruptive. Our approach is incremental.

Assess current costs and workload characteristics
Architect the target platform with migration path
Migrate workloads in priority order with validation at each step
Optimise for cost and performance post-migration

Explore Platform Options

Discuss how a purpose-built data platform can reduce cost, improve governance, and accelerate your AI initiatives.

Discuss Platforms View Our Platforms

Frequently Asked Questions

What is the cost difference between hyperscaler cloud and sovereign cloud for enterprise data?

Based on enterprise deployments, sovereign cloud infrastructure (such as IONOS) delivers 40–60% lower cost than equivalent AWS, Azure, or GCP configurations for data warehousing and analytics workloads. The primary drivers are storage pricing, compute rates, and egress fees — all areas where hyperscalers charge significant premiums at scale.

What are the trade-offs between hyperscaler and sovereign cloud?

Hyperscalers offer broader managed service ecosystems, global distribution, and more mature AI-specific services. Sovereign cloud offers lower cost, guaranteed data residency within specific geographies (critical for GDPR and sector regulations), and protection against hyperscaler lock-in. The right choice depends on regulatory requirements, data volumes, and existing vendor relationships.

Does choosing sovereign cloud mean sacrificing AI capability?

No. Modern sovereign cloud platforms support the same open data formats (Parquet, Delta Lake, Iceberg) and integrate with the same analytics and AI tooling as hyperscalers. The underlying compute and storage infrastructure is equivalent — the difference is geography, pricing, and ownership of the data layer.

What is enterprise data infrastructure lock-in?

Lock-in occurs when an organisation's data infrastructure is tightly coupled to proprietary services from a single cloud vendor — making migration expensive and difficult. It manifests as proprietary data formats, vendor-specific SQL dialects, egress fees that penalise movement, and deeply integrated managed services with no open-source equivalents.

Justin Gane · CEO, 1Digit

Founder and CEO of 1Digit. Builds enterprise AI architecture and data platforms for regulated industries across the UK and Europe.

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