ⓘ Confirm technical details and prices with each vendor before making a decision. Want a third tool in the mix? Open the interactive comparison →
Technical decision guideStart with the architecture and workload
Docker packages and runs containers; Kubernetes orchestrates containerized workloads across infrastructure. They address different layers and are frequently used together.
Define whether the problem is building and running containers or scheduling, networking and recovering services across a cluster.
Compare these first
- Image build and local workflow
- Scheduling and desired-state reconciliation
- Service networking and storage
- Cluster operations and workload recovery
Shortlist Docker when
Use Docker for container images, local development and straightforward container execution where cluster orchestration is unnecessary.
Shortlist Kubernetes when
Use Kubernetes when workloads require a cluster control plane, scheduling, service discovery, rollout control and reconciliation.
Run this proof of concept
Package the application with Docker first. Introduce Kubernetes only after demonstrating a concrete requirement such as multi-node scheduling, rollout control, self-healing or standardized platform APIs.
Migration and rollback
Inventory data, identities, integrations and configuration. Test export, import and rollback with production-like data.
Security and operations
Compare access controls, audit evidence, upgrade ownership, observability and recovery procedures.
Total cost
Model licensing, infrastructure, support, data transfer and operator time at the expected scale.
Evaluation methodology · Corrections process
Read the full editorial guide →