Google Kubernetes Engine vs Zeabur
Google Kubernetes Engine
cloud.google.comZeabur
zeabur.comSide by side
| Figure | Google Kubernetes Engine | Zeabur |
|---|---|---|
| Price from | $0.10/mo | $5/mo |
| Free plan | Yes | Yes |
| Free trial | Yes | Yes |
| Open source | — | — |
| Web | Yes | Yes |
| Windows | Yes | Yes |
| macOS | — | Yes |
| Linux | Yes | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | — |
| Plans published | 3 | 5 |
| Spec score · Cloud Platform as a Service (PaaS) Software | 9.1 (#1) | 8.0 (#12) |
| Company | Google was founded in September 1998 and is headquartered in Mountain View, California. | Zeabur Inc. lists its address in Newark, Delaware, and an incorporation date of January 14, 2025. |
| Founded | 1998 | 2025 |
| Headquarters | Mountain View, California, USA | 131 Continental Drive Suite 305, Newark, DE 19713, United States |
| Security | GKE’s security dashboard provides visibility into cluster misconfigurations and risks, and agentless scanning for critical vulnerabilities. | Zeabur says it is pursuing SOC 2 Type II certification and encrypts customer connections with TLS 1.2 or higher. |
Plans
Google Kubernetes Engine
- Free tierFree
- Free tierFree
- Cluster management fee$0.10 a month
Zeabur
- FreeFree
- Dev$5 a month
- Pro$19 a month
- Team$79 a month
- EnterprisePriced on request
In their own words
Google Kubernetes Engine
Google Kubernetes Engine is a managed environment for running containerized applications. It manages the Kubernetes control-plane life cycle for each cluster, from creation to deletion. Teams using Autopilot can hand node provisioning, scaling, scheduling and infrastructure management to Google, while users who prefer can manage nodes themselves. Autopilot also includes automatic capacity right-sizing and per-pod pricing. GKE supports GPU and TPU workloads and connects with AI Hypercomputer for machine-learning and high-performance computing. The product page states that clusters can reach 65,000 nodes. Security features include visibility into configuration issues and risks, agentless scanning for critical vulnerabilities, workload isolation through GKE Sandbox and hardware-based encryption for data in use with Confidential GKE Nodes. Fleets and Teams help organize clusters and workloads across teams. It also supports conformant attached Kubernetes clusters and says applications can run unmodified on on-premises hardware or in public cloud. Windows Server node images and containers are unavailable in Autopilot. A free tier and trial are listed, with a $9/mo starting price.
Zeabur
Zeabur describes itself as an AI DevOps engineer that handles deployments. It can deploy projects from GitHub, templates, Dockerfiles, Docker images, and local uploads; pushes to GitHub can trigger automatic deployment of updated code. Users can purchase VPS servers from listed cloud providers or manage servers they already own. Zeabur also offers domain registration and automatic DNS configuration, plus custom-domain email with API sending and receiving and delivery monitoring.
Developer tools include a GraphQL API, CLI, and REST endpoints for certain operations, including email. An MCP server lets compatible AI applications such as Claude Desktop or Cursor manage and deploy projects. The listed InsForge integration provides PostgreSQL, JWT authentication, S3-compatible storage, serverless edge functions, and MCP support, with separate pay-as-you-go billing. The Free plan includes one manageable own server, 2C4G build CI, 48-hour log retention, and 50 MB single-file uploads. Dev costs $5 a month after its first 14 days free; Pro costs $19 a month after the same period. Zeabur says it is pursuing SOC 2 Type II certification and encrypts customer connections with TLS 1.2 or higher.