Software · head to head
Daytona vs PlanetScale

Daytona
Software
Infrastructure for spinning up secure, sub-second sandboxes to run AI-generated code
- From
- Free
- Rated
- -
The short version
- Only Daytona has a free tier, so it costs nothing to try first.
- Each has a real cost: Daytona pricing is purely usage-based with no flat monthly plan, which can make costs harder to predict for steady workloads.; PlanetScale eBS High Availability requires 3-node configuration with replication overhead
- They diverge on capability: Daytona covers Sub-second sandbox creation, PlanetScale covers Database Branching.
Where they differ
Only the attributes on which Daytona and PlanetScale actually diverge.
| Attribute | Daytona | PlanetScale |
|---|---|---|
| Starting price | Free | $15/month |
| Pricing model | usage-based | subscription |
| Free tier | Yes | No |
| Platforms | web, linux, windows, api | Cloud-hosted (AWS, GCP, Azure) |
| Founded | Unknown | 2018 |
Identical on both: user rating (Not yet rated), category (Unknown).
What each one covers
Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.
Only in Daytona
- Sub-second sandbox creation
- Per-second billing
- GPU instances
- Windows OS support
- Enterprise BYOC
Only in PlanetScale
- Database Branching
- Non-blocking Schema Changes
- Insights
- Horizontal Scaling
- Connection Pooling
- Query Caching
- Automatic Backups
- Global Replication
What people use each for
The jobs each tool is most often brought in to do.
Daytona
- Running AI agent-generated code in a disposable, isolated sandboxnot PlanetScale
- Executing untrusted user code for a coding platformnot PlanetScale
- Running GPU workloads on demand without provisioning dedicated serversnot PlanetScale
- Testing Windows-specific code paths in a sandboxnot PlanetScale
PlanetScale
- MySQL database hosting with automatic failover and replicationnot Daytona
- Vitess-based sharding for horizontal scaling across large datasetsnot Daytona
- Cloud provider flexibility across AWS, GCP, Azure with 60+ regionsnot Daytona
- Cost-effective database clusters using ARM64 architecture optionsnot Daytona
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Daytona
- Pricing is purely usage-based with no flat monthly plan, which can make costs harder to predict for steady workloads.
- GPU instances are priced separately and can be significantly more expensive than standard compute for AI-heavy use cases.
- Enterprise features like SSO, audit logs, and BYOC are only available by contacting sales rather than self-serve.
PlanetScale
- EBS High Availability requires 3-node configuration with replication overhead
- EBS Non-HA single-node option lacks redundancy and automatic failover
- Pricing varies by cloud provider and region, requiring queries for specific rates
- ARM64 architecture only available on EBS tier, not Metal deployments
Pricing, plan by plan
Daytona
Free- Pay-as-you-go$undefined/mo
- $0.0504 per vCPU/hour
- $0.0162 per GiB memory/hour
- $0.000108 per GiB storage/hour after 5 free GiB
- Startup Program$undefined/mo
- Up to $50,000 in free credits for qualifying startups
- Enterprise$undefined/mo
- Custom usage limits
- SSO
- Audit logs
PlanetScale
$15/monthNo published plan breakdown. See the PlanetScale review.
Which should you pick?
Choose Daytona if
- You need sub-second sandbox creation.
- You want to start without paying.
- You work on web, linux, windows, api.
- You also want per-second billing.
Choose PlanetScale if
- You need database branching.
- You work on Cloud-hosted (AWS, GCP, Azure).
- You also want non-blocking schema changes.
Questions people ask
- Is Daytona or PlanetScale better?
- Neither clearly leads. Daytona starts at Free and PlanetScale at $15/month, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Daytona or PlanetScale?
- Daytona has a free tier; the other does not. Paid plans start at Free for Daytona and $15/month for PlanetScale.
- Does Daytona or PlanetScale run on more platforms?
- Daytona runs on web, linux, windows, api. PlanetScale runs on Cloud-hosted (AWS, GCP, Azure).
- Can I use Daytona for free?
- Yes. Daytona has a free tier, so you can try it without paying. PlanetScale starts at $15/month.
- What is Daytona best used for?
- Daytona is most often used for running ai agent-generated code in a disposable, isolated sandbox, executing untrusted user code for a coding platform, running gpu workloads on demand without provisioning dedicated servers, testing windows-specific code paths in a sandbox. Of those, running ai agent-generated code in a disposable, isolated sandbox and executing untrusted user code for a coding platform are not what PlanetScale is typically brought in for.
- What can Daytona do that PlanetScale cannot?
- Daytona covers Sub-second sandbox creation, Per-second billing, GPU instances, Windows OS support. PlanetScale covers Database Branching, Non-blocking Schema Changes, Insights, Horizontal Scaling.
Answered from the vendors’ own pages
Daytona: How is Daytona usage metered?
Usage is billed per second across vCPU, memory, and storage consumed, with separate per-hour rates for GPU and Windows instances.
SourceDaytona: Is there a free plan, and what are its limits?
There is no flat free plan, but new signups receive $200 in free compute credit with no credit card required to start.
SourceDaytona: Are discounts available for startups?
Yes, the Startup Program offers up to $50,000 in free credits for qualifying companies.
SourceRelated pages
More on PlanetScale
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