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Daytona vs Height

Daytona logo

Daytona

Developer Tools

Infrastructure for spinning up secure, sub-second sandboxes to run AI-generated code

From
Free
Free plan
Yes
Full reviewWebsite
H

Height

Technology

A project management tool from a small independent vendor that uses AI agents to handle routine ticket maintenance.

From
Free
Free plan
Yes
Full reviewWebsite

The short version

  • 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.; Height it is one product from one small venture-funded company with no second line of business underwriting it, so adopting it as your system of record is a bet on that company's funding, and the tool holds work history you would have to reconstruct elsewhere if the bet fails.
  • They diverge on capability: Daytona covers Sub-second sandbox creation, Height covers Autonomous triage.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which Daytona and Height actually diverge.

Attributes where Daytona and Height differ
AttributeDaytonaHeight
Pricing modelusage-basedUnknown
Platformsweb, linux, windows, apiWeb
CategoryDeveloper ToolsTechnology
FoundedUnknown2018

Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated).

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 Height

  • Autonomous triage
  • Duplicate detection
  • Attribute maintenance
  • Per-task chat
  • Multiple views
  • Developer integrations
  • Custom fields and filters
  • Public API

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 Height
  • Executing untrusted user code for a coding platformnot Height
  • Running GPU workloads on demand without provisioning dedicated serversnot Height
  • Testing Windows-specific code paths in a sandboxnot Height

Height

  • A product or engineering team with no dedicated project manager, where backlog upkeep currently falls on whoever has timenot Daytona
  • Teams leaving Jira because its configuration and administration cost more attention than the tracking is worthnot Daytona
  • A support or intake queue where incoming requests need categorising and deduplicating before anyone can plan themnot Daytona
  • Startups that want tasks, chat and progress tracking in one tool rather than stitching a tracker to a chat appnot 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.

Height

  • It is one product from one small venture-funded company with no second line of business underwriting it, so adopting it as your system of record is a bet on that company's funding, and the tool holds work history you would have to reconstruct elsewhere if the bet fails.
  • The 2024 relaunch as Height 2.0 reoriented the product around AI agents and changed workflows customers had already built on, which is the clearest available evidence of how much the product may be re-shaped again under you.
  • The ecosystem is small next to Jira, Linear and Asana: fewer third-party integrations, no consultancy market, and far less written material to search when something behaves unexpectedly, so support questions go to the vendor and wait.
  • The automation only pays off if tasks contain enough substance for a model to work with; on a team whose tickets are two-word titles, the agents have nothing to triage or deduplicate and the product reduces to an ordinary tracker at a premium.
  • Task content is processed by hosted large language models, so a security review becomes a question about subprocessors and data handling, and there is no self-hosted or on-premises deployment to fall back on if the answer is unacceptable.
  • There is no widely used two-way synchronisation with Jira, so an organisation where one team adopts Height and the rest stay on Jira ends up with two systems of record and manual reconciliation between them.

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

Height

Free

No published plan breakdown. See the Height 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.
Daytona review

Choose Height if

  • You need autonomous triage.
  • You want to start without paying.
  • You also want duplicate detection.
Height review

Questions people ask

Is Daytona or Height better?
Neither clearly leads. Daytona starts at Free and Height at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Daytona or Height?
Daytona starts at Free and Height at Free.
Does Daytona or Height run on more platforms?
Daytona runs on web, linux, windows, api. Height runs on Web.
Can I use Daytona for free?
Both have a free tier, so you can try either at no cost before committing.
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 Height is typically brought in for.
What can Daytona do that Height cannot?
Daytona covers Sub-second sandbox creation, Per-second billing, GPU instances, Windows OS support. Height covers Autonomous triage, Duplicate detection, Attribute maintenance, Per-task chat.

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.

Source
Height: How is this different from Jira automation?

Jira automation is rule-based: you define a trigger and an action. Height's agents read the content of tasks and act on judgement, such as recognising that two tickets describe the same bug, which no rule can express.

Daytona: 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.

Source
Height: Can we self-host it?

No. It is software as a service only, with no on-premises or private-cloud deployment. If your requirements rule out a hosted tracker, this is not a candidate.

Daytona: Are discounts available for startups?

Yes, the Startup Program offers up to $50,000 in free credits for qualifying companies.

Source
Height: What happens to our data if the company fails?

You would need an export and a migration to another tool. This is the standard risk with a single-product startup, and it is worth confirming the export path covers task history, comments and custom fields before committing to it.

Height: Does it work for non-engineering teams?

Yes, the views and custom fields are generic enough for marketing, operations or support queues. Its integrations, though, are aimed at software teams, so a non-engineering team gets less of the surrounding value.

Height: Do the AI features need our tickets to be well written?

In practice, yes. Triage, deduplication and attribute maintenance work from what is written in the task, so the return is much higher on a team that already writes descriptive tickets than on one that does not.

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