Cloudflare vs Scaleway

Cloudflare and Scaleway represent two entirely different approaches to database hosting. Cloudflare’s D1 database service is effectively an edge-based SQLite implementation, keeping costs between $0.00 and $5.00/mo. It provides a tight sandbox with 1 GB to 10 GB of storage and minimal RAM overhead, targeting lightweight, highly distributed workloads. Scaleway serves as a traditional managed SQL powerhouse, running instances from $0.10 up to $1861.50/mo. Their infrastructure leverages robust AMD EPYC hardware, offering a massive scaling path from 2 GB to 256 GB of RAM, which is necessary for production-grade PostgreSQL or MySQL clusters that require high-availability replication and consistent IOPS.

• Cloudflare charges a negligible $0.01/GB for additional storage, whereas Scaleway applies a significantly higher $0.12/GB overage rate for extra disk allocation.
• Scaleway includes a baseline of 20 GB of storage across its tiers, while Cloudflare’s entry point starts as low as 1 GB.
• Scaleway enforces egress costs at $0.01/GB for data leaving the database instance, a metric that does not exist in the same way within Cloudflare’s edge-centric model.
• Memory allocation at Scaleway scales up to 256 GB with 48 vCPU cores, while Cloudflare abstracts memory entirely, treating it as an unlimited, shared resource for their specific SQLite-based runtime.

Choosing between these platforms depends on whether your stack requires a full-fledged relational database engine or a lightweight, globally distributed data store. Scaleway is the standard choice for teams needing dedicated hardware resources, ACID compliance, and predictable performance for heavy transactional loads. Cloudflare is optimized for developers building serverless applications who prefer to avoid the maintenance of connection pooling and high-availability configuration. The difference in storage overage costs suggests that Scaleway is better suited for persistent, growing datasets, while Cloudflare remains a budget-friendly option for small, transient data requirements.