What is a Cloud Database?

What is a Cloud Database? Build • Scaleway • 20/04/26 • 5 min read

Definition and Key Concepts

A cloud database is a database service built, deployed, and accessed through a cloud platform, rather than on-premises hardware. It provides a flexible, scalable environment for managing data, typically offered as a Database as a Service (DBaaS) .

In a modern DBaaS model, the provider manages the underlying infrastructure, allowing your engineering teams to focus on schema design and query optimization.

Key concepts

Hardware abstraction : decoupling the software layer from physical servers

Elasticity : the ability to scale compute and storage resources almost instantly to meet fluctuating demand

Service-oriented architecture : transitioning from manual maintenance to API-driven lifecycle management

How does a cloud database work?

A cloud database operates through a sophisticated orchestration layer that sits between the user and the physical hardware. When you deploy a Scaleway Managed Database , the orchestrator automates the provisioning of virtualized compute instances and connects them to distributed storage systems.

Key operational components

Deployment via API/console : infrastructure can be spun up in seconds using a web interface or Infrastructure as Code (IaC) tools like Terraform

Automated provisioning : the cloud provider handles the installation of the OS and the database engine (SQL or NoSQL)

Network isolation : instances can be deployed within a Private Network to ensure security and low latency

Key Benefits of Modernizing with DBaaS

Moving your workloads to cloud databases provides a competitive edge through:

Agility & deployment speed : launch production-ready clusters in minutes, drastically reducing your time-to-market (TTM)

Cost efficiency : replace heavy CAPEX (hardware) with OPEX (pay-as-you-go), benefiting from transparent cloud pricing

Automated lifecycle management : enjoy automated backups and security patching without manual intervention

Common Types of Cloud Databases

The modern cloud ecosystem offers diverse engines tailored to specific workloads:

Relational Databases (SQL)

Best for structured data requiring ACID compliance (fundamental properties that ensure the reliability of transactions in a relational database ). Managed solutions for PostgreSQL and MySQL are the industry standard for traditional business logic and ERPs.

Non-Relational Databases (NoSQL)

Optimized for unstructured data and massive horizontal scaling, a non-relational database (NoSQL) uses flexible schemas instead of fixed tables. Managed Redis™ is a prime example, offering high-performance key-value storage for real-time caching.

Vector Databases (The AI Layer)

Crucial for 2026 AI workflows , vector databases store high-dimensional embeddings to power Retrieval-Augmented Generation (RAG) and LLM-based applications.

Serverless Databases

Solutions like Scaleway Serverless SQL allow for scale-to-zero efficiency. Ideal for modern REST APIs with unpredictable traffic, ensuring you only pay for the exact resources consumed.

Cloud Database vs. On-Premise: Key Differences

Criterion Cloud Database (DBaaS) On-Premise Infrastructure Cost Transparent cloud pricing (OPEX) High initial CAPEX + hidden electricity/cooling costs Scalability Instant vertical/horizontal scaling Lengthy procurement and manual installation Control Policy-based management Direct hardware access (high overhead) Security Automated encryption Manual patching and physical security risks

Strategic Use Cases for Cloud Databases

Global-scale applications : mitigate latency by deploying instances in sovereign cloud provider regions closer to your European users

Real-time data analytics : power Big Data processing with high-throughput engines that scale with your data volume

Seasonal e-commerce peaks : scale your relational databases (SQL) during high-demand periods like Black Friday

Security, Compliance, and the "Sovereignty" Pivot

In the current legal landscape, where your data resides is as important as how it is encrypted.

The Shared Responsibility Model

Cloud security is a partnership:

The provider secures the Cloud (physical security, host OS, virtualization)

The user secures the Data (IAM, encryption keys, network configuration)

Sovereignty vs. Hyperscalers

Most global providers are subject to the US Cloud Act , which creates legal risks for European firms handling sensitive data.

Choosing a sovereign cloud alternative like Scaleway ensures:

Data immunity : hosted in French datacenters under exclusive European jurisdiction

No egress fee databases : avoid vendor lock-in from high data transfer costs common with US hyperscalers

Scaleway: Your European Partner for Cloud Databases

Scaleway provides a high-performance ecosystem designed for modern engineering teams who refuse to compromise on performance or sovereignty.

Managed relational databases : high availability for PostgreSQL and MySQL with zero vendor lock-in

Serverless SQL : perfect for scale-to-zero efficiency in microservices

Native orchestration : seamless integration with Scaleway Kapsule (Kubernetes) for automated containerized workloads

Predictable DBaaS billing : no hidden fees, no egress traps—just high-security, eco-responsible infrastructure