Small API
2 vCPU, 4GB RAM, 24/7
Sealos 72% lower
As AI technology advances, choosing the right platform is crucial for your team's speed, governance, and long-term success. Both Sealos and Google Cloud have their strengths. The sections below compare them across developer experience, scalability, and total cost of ownership.
As AI technologies evolve, delivering and scaling applications has become essential for powering modern businesses, from AI startups to large-scale enterprises. There are various solutions available, including comprehensive cloud operating systems, managed Platform-as-a-Service (PaaS), and traditional IaaS. Selecting the right platform is crucial for your team's velocity, governance, and long-term success.
Sealos and Google Cloud both bring unique strengths to application delivery, each with its own capabilities and limitations. The best choice depends on your specific use case and requirements. In the following sections, we'll compare both platforms regarding developer experience, scalability, and total cost of ownership, helping you determine the most suitable option for your needs—even if it's not us.
| Infrastructure | Standard Kubernetes | Google-managed PaaS |
| Source Available | 100% source-available (Apache 2.0) | |
| Deployment Options | Cloud Self-hosted Hybrid | GCP cloud only |
| Free Trial | 7 days, 4 vCPU + 4GB (no credit card) | GCP free tier (limited) |
| Max vCPU per Service | Plan-based (4-64 vCPU) | Plan-based (instance class) |
| Max RAM per Service | Plan-based (4-128 GB) | Plan-based (instance class) |
| Custom Domains | Unlimited | |
| Replicas per Service | Unlimited (within quota) | Plan-based (autoscale) |
| Cron Jobs | Unlimited | Cloud Scheduler |
| Log Retention | Configurable | Configurable (Cloud Logging) |
| Scale-to-Zero | Standard env only | |
| App Marketplace |
Cost evidence
Estimates use the listed average CPU and RAM for a 30-day month. Storage and egress are excluded unless a platform note says otherwise.
Small API
2 vCPU, 4GB RAM, 24/7
Medium App
8 vCPU, 16GB RAM, 24/7
Production Stack
16 vCPU, 32GB RAM, 24/7
2 vCPU, 4GB RAM, 24/7
Sealos 72% lower
8 vCPU, 16GB RAM, 24/7
Sealos 60% lower
16 vCPU, 32GB RAM, 24/7
Sealos 15% lower
Plan prices include the resource package listed on the Sealos pricing page.
GCP calculation: App Engine instance class + logging over 720 hours/month
Sealos is an AI-native Cloud Operating System built on Kubernetes that unifies the entire application lifecycle, from development in Cloud Development Environments (CDEs) to production deployment and management. It is perfect for building and scaling modern AI applications, SaaS platforms, managed databases (MySQL, PostgreSQL, Redis, MongoDB) and complex microservice architectures. The platform is 100% source-available, and for production you can choose either a fully managed cloud service or self-host on your own infrastructure.
Google App Engine is Google Cloud managed PaaS for deploying web apps and APIs with minimal infrastructure management. It supports multiple runtimes, integrates with GCP services, and provides automatic scaling within region. App Engine is well-suited for teams that want a managed runtime inside Google Cloud without operating Kubernetes.
Predictable costs for 24/7 production workloads
Cloud Development Environment (CDE) for consistent dev/prod environments
Self-hosting option for data sovereignty or compliance (100% source-available)
Kubernetes-native control with full API access
100+ ready-to-deploy apps from the marketplace
Enterprise multi-tenancy with granular RBAC and resource quotas
Need Google AI services (Vertex AI, Translation, Vision, etc.)
Want GCP service integration (BigQuery, Firestore, etc.)
Prefer automatic scaling with zero configuration
Require enterprise compliance with GCP certifications
Building Python or Java applications with Google services
Need global GCP regions for worldwide deployment
Everything you need to know about Sealos and Google Cloud.