Side by side
Google Compute Engine vs Konveyor
Both stand on cloud migration tools. Which one you can start free with, which one lets you read the code, and what each costs once you pay.
Free plan APILinuxWeb+1
Compute Engine offers configurable VMs, scaling options, and several security and resilience features. The free tier is bounded, while paid usage depends on VM configuration and can involve separately priced resources.
Visit Google Compute Engine Free plan ExtensionLinuxSelf-hosted+1
Choose Konveyor if your team needs an open-source toolkit to assess, analyze, and transform legacy applications for Kubernetes, with web, CLI, and optional AI capabilities. It requires self-hosting, and enabling AI brings additional software, API-key, and storage prerequisites.
Visit KonveyorThe facts
| Google Compute Engine | Konveyor | |
|---|---|---|
| Free plan | Yes | Yes |
| Open source | Not published | Not published |
| Runs on | API, Linux, Web, Windows | Extension, Linux, Self-hosted, Web |
| Lowest paid plan | Free or on request | Not published |
| Plans published | 2 | None |
| Maker | Not published | Not published |
| Website | cloud.google.com | konveyor.io |
| On cloud migration tools | #5 of 32 | #9 of 32 |
Google Compute Engine: what it does well
- Custom machines support 1 to 96 vCPUs.
- Managed instance groups can add and replace VMs.
- Live migration can move a VM within its zone.
- Confidential and Shielded VM options are available.
What to know first
- Free-tier use is limited to listed regions and resources.
- Free trials exclude GPUs and Windows Server VM images.
- VM resources have a one-minute minimum charge.
Konveyor: what it does well
- Hub provides a web console for application landscape analysis and migration plans.
- Kantra analyzes Go, .Net, Node.js, and Java code.
- Assessment reports cover modernization suitability and risks.
- Supports predefined and custom analysis rules.
- AI can generate resolutions and apply Java code changes.
What to know first
- Self-hosted deployment requires a Kubernetes environment.
- AI setup requires Java 17 or later, Maven 3.9.9 or later, Git, and an LLM API key.
- The AI Solution Server requires a 5 Gi RWO persistent volume.
Alternatives to Google Compute Engine Alternatives to Konveyor The whole list