Cyso Cloud vs Open Telekom Cloud

Vergleichen Sie Cyso Cloud und Open Telekom Cloud nach Funktionen, Rechtsraum, Nachweisen und Einsatzpassung.

Beide als Alternativen zu: Amazon Web Services (AWS), Google Cloud Platform, Microsoft Azure

Hervorgehobene Zeilen unterscheiden sich zwischen den Produkten.

Cyso Cloud vs Open Telekom Cloud: Überblick
MerkmalLogo: Cyso CloudCyso CloudLogo: Open Telekom CloudOpen Telekom Cloud
HerkunftslandNetherlandsGermany
KategorieCloud ComputingCloud Computing
Open SourceJaNein
Self-HostedNeinNein
Zusammenfassung

Dutch OpenStack IaaS from Cyso B.V. with AMS/FRA regions, managed Kubernetes (KCSP), S3-compatible object storage, and EU data residency for teams avoiding hyperscaler lock-in.

Deutsche Telekom / T-Systems sovereign European public cloud (now marketed as T Cloud Public): OpenStack-based IaaS and platform services in Germany, Netherlands, and Swiss regions with BSI C5, ISO, and SOC attestations.

Tags

Cyso Cloud

  • Skalierbare Compute-Instanzen

    Instanzen in Sekunden mit Flavors für Workloads: Standard (balanced), CPU-optimiert (bis 64 vCPUs), Memory-optimiert (bis 512 GB RAM). Ephemeral Storage an Instanz-Lebenszyklus gebunden; persistente Volumes mit Dreifach-Replikation und IOPS-Skalierung (5–25 pro GB). Stundensätze ab 0,026 € für Einstieg – präzise Kosten ohne Überprovisionierung.

  • S3-kompatibler Object Storage

    Für Backups und große Datensätze: unbegrenzte Kapazität, 99,99 % Uptime-SLA. NVMe-Laufwerke für niedrige Latenz; Daten in gewählten EU-Regionen. Preise: 0,055 €/GB Storage, gratis Ingress, 0,055 €/GB Egress. Operationen 0,055 € pro 10.000 PUT/LIST-Requests, REST-API-Zugang.

  • Managed Kubernetes

    Enterprise Managed Kubernetes (EMK): Control Plane 29,99 €/Monat (HA 59,99 €), automatische Updates und Hibernation für Kosteneinsparung. 99,9 % SLA für HA-Cluster. Deployment via Dashboard; Autoscaling für variable Lasten. Setup in Minuten laut Dokumentation.

Open Telekom Cloud

  • Elastic Compute and AI/ML Capabilities

    Open Telekom Cloud provides Elastic Cloud Servers in various configurations, from general-purpose instances to GPU-accelerated ones for AI and ML tasks. ModelArts offers an end-to-end platform for building, training, and deploying models. These features support demanding applications like AI training and high-performance computing, with self-service scaling via APIs. Availability zones across multiple data centers ensure resilience.

  • Comprehensive Storage and Database Services

    Object Storage handles unlimited scalable data with S3-compatible APIs. Elastic Volume Service delivers block storage attachable to servers, while Scalable File Service manages shared filesystems. Databases include Relational Database Service for MySQL, PostgreSQL, and MS SQL, plus Document Database Service. These options cater to large-scale data storage, analytics, and IoT backends, with automated backups and high durability.

  • Robust Networking and Security

    Networking includes Virtual Private Cloud for isolated environments, Elastic Load Balancer for traffic distribution, VPN, and Direct Connect. Security tools feature Anti-DDoS protection, Web Application Firewall, and Key Management Service for encryption keys. Management aids like Cloud Eye monitoring and Cloud Trace auditing provide visibility and compliance tracking, essential for regulated industries.