Side by side
Daytona vs DevZero
Both stand on cloud development environments. Which one you can start free with, which one lets you read the code, and what each costs once you pay.
Daytona combines isolated code execution with APIs, language SDKs and configurable network controls. Its usage-based pricing lists compute and storage rates, while enterprise pricing and VPN access have additional conditions.
Visit Daytona
Choose DevZero if your team wants Kubernetes resource optimization and security scanning, with a free option for unlimited clusters. Pro adds GPU infrastructure optimization, longer data retention, and a dedicated account manager with an SLA. Look elsewhere if your clusters cannot meet the in-place scaling requirements and you need those changes without rolling restarts.
Visit DevZeroThe facts
| Daytona | DevZero | |
|---|---|---|
| Free plan | Yes | Yes |
| Open source | No | No |
| Runs on | API, Linux, Mac, Self-hosted, Web, Windows | Android, API, iPhone, Linux, Self-hosted, Web, Windows |
| Lowest paid plan | See the plans | Pro: $5 a month |
| Plans published | 9 | 6 |
| Maker | Daytona | Not published |
| Website | daytona.io | devzero.io |
| On cloud development environments | #5 of 27 | #9 of 27 |
Daytona: what it does well
- Execution controls cover processes, files and Git.
- SDK interfaces are shown for five languages.
- Network rules can block all outbound traffic.
- First 5 GiB of storage is free.
What to know first
- VPN connections require Tier 3 or higher.
- Enterprise pricing requires contacting sales.
- GPU rates vary by model and preemptible or on-demand use.
DevZero: what it does well
- Analyzes cluster use and can recommend or apply resource and capacity changes.
- Supports EKS, GKE, AKS, OKE, and self-managed or on-premises clusters.
- Scans image vulnerabilities, Kubernetes configuration, RBAC, and named standards.
- Offers Slack and webhook alerts, plus Terraform and Pulumi providers.
- Free plan includes unlimited clusters.
What to know first
- The Free plan retains data for 30 days.
- In-place scaling requires Kubernetes 1.33 or newer with the required feature gate.
- Some scaling changes fall back to rolling restarts.
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