Qovery vs WSO2 Developer Platform

Qovery is a Kubernetes control plane that runs on customers’ infrastructure and is designed for use by people and AI agents. It supports deployments on Kubernetes, AWS, Google Cloud, Scaleway, and Azure, with capabilities including GitOps, preview environments, rolling releases, rollback, and approval gates. Its documentation describes real-time logs, metrics, and Kubernetes events without setup. Qovery says its eight AI agent skills work across more than 30 tools, including Claude Code, OpenAI Codex, Gemini CLI, Cursor, and VS Code Copilot. The MCP Server starts in read-only mode; writes require enabling access in both a connection setting and a separate Console setting, and actions appear in an audit trail. Qovery says customer workloads, secrets, and application data stay in the customer’s cloud account. It reports encryption in transit and at rest, regular third-party penetration tests, and compliance coverage including SOC 2 Type II, HIPAA, GDPR, and DORA. Annual plans are listed at $299.00 per month for Team, $899.00 per month for Growth, and $2,999.00 per month for Business. Plans have deployment-minute allowances, and unused minutes do not roll over.

OpenChoreo, identified as the WSO2 Developer Platform, is a Kubernetes-native internal developer platform for platform engineers. It offers reusable abstractions, a Backstage-powered developer portal, built-in CI/CD, GitOps workflows, observability, and policy enforcement, while keeping Kubernetes as the system of record. The platform runs on any Kubernetes environment, including public cloud, hybrid or multi-cloud, and on-premises deployments. WSO2’s managed cloud option is available on AWS, Azure, and GCP. On-premises deployment supports secure, air-gapped private data centers and keeps data within the customer’s perimeter. Platform engineers retain control of network policies, access controls, and data residency. OpenChoreo integrates with Backstage and is validated for SUSE Rancher Prime and AWS Marketplace. Its open-source foundation includes GitHub issues, documentation, and a Slack community. Enterprise support lists round-the-clock incident support, guaranteed SLAs, security monitoring, guided onboarding, and direct engineering access. Quick start requires Docker and at least 4 GB RAM with 2 CPUs, or 8 GB RAM with 4 CPUs when WorkflowPlane is installed. CI/CD and observability can be enabled during installation.