gridscale vs Scaleway

Comparez gridscale et Scaleway sur les capacités, la juridiction, les garanties et l'adéquation pour les acheteurs européens.

Tous deux listés comme alternatives à: Amazon Web Services (AWS), DigitalOcean, Microsoft Azure

Les lignes surlignées diffèrent entre les deux produits.

gridscale vs Scaleway: Aperçu
CaractéristiqueLogo: gridscalegridscaleLogo: ScalewayScaleway
Pays d'origineGermanyFrance
CatégorieCloud ComputingCloud Computing
Open sourceNonNon
Auto-hébergéNonNon
Résumé

Cologne-based German IaaS/PaaS and Hybrid Core HCI cloud (OVHcloud group) with European locations, managed Kubernetes, and white-label private cloud options for DACH teams.

French iliad-group cloud platform: bare metal, virtual instances, EU-resident GPU for AI, managed Kubernetes, serverless, storage and databases on Scaleway-operated multi-AZ regions in Europe.

Tags

gridscale

  • Intuitive Control Panel and API

    Administrators use a drag-and-drop interface to deploy VMs or services quickly, reducing setup time from hours to minutes. For developers, a RESTful API enables scripting and integration. Real-time dashboards show consumption and costs, with per-minute billing avoiding overprovisioning. This setup suits teams without dedicated cloud experts.

  • Scalable Compute and Storage Options

    Core offerings include flexible VMs for general workloads, NVMe-based Rocket Storage for speed, and S3 object storage for unstructured data. GPU instances support AI/ML tasks. Managed services cover Kubernetes clusters, PostgreSQL/MySQL databases, and load balancers, with auto-scaling and backups included. Resources provision in seconds across multiple availability zones.

  • Hybrid Core Concierge for HCI

    This fully managed tool automates datacenter operations on hyperconverged infrastructure. Users deploy gridscale's hardware on-site or in chosen locations, gaining public cloud features privately. Modules handle account management, branding, and automation. Onboarding involves hardware procurement, setup, and testing, ensuring seamless cloud exit strategies.

Scaleway

  • Elastic Metal Bare Metal Servers

    Elastic Metal provides on-demand bare metal instances like Aluminium, Iridium, and GPU-equipped Titanium models. Deployment takes minutes via API, with models tailored for general compute, storage-intensive tasks, or AI. Users avoid virtualization overhead for better performance in databases or gaming servers. Models start around €0.02 per hour, with full root access and custom images.

  • GPU Instances and AI Tools

    High-end GPUs such as NVIDIA L40S, H100, and B300-SXM support AI training and inference. Custom GPU clusters scale for large models. Additional AI services include generative APIs and managed inference. These integrate with Kubernetes for orchestration, serving needs from startups to research labs without vendor lock-in.

  • Managed Kubernetes, Databases, and Storage

    Kapsule offers managed Kubernetes clusters, while Kosmos enables multi-cloud setups. Databases cover PostgreSQL, MySQL, Redis, MongoDB, and ClickHouse as managed services. Storage options include object (S3-compatible), block, and Glacier for archiving. Serverless Functions, Containers, and Jobs handle event-driven workloads. All scale automatically.

  • Renewable Data Centers and Networking

    Nine data centers consume renewable energy, hitting a 1.15 PUE. Locations ensure low latency in Paris (multi-AZ), Amsterdam, and Warsaw. Networking features private VPCs, load balancers, WAF, and global anycast IPs. Tools like CLI and Terraform simplify management.