Developer Tools · head to head
Daytona vs Mode

Daytona
Developer Tools
Infrastructure for spinning up secure, sub-second sandboxes to run AI-generated code
- From
- Free
- Free plan
- Yes

Mode
Business Intelligence
Collaborative analytics for data teams
- From
- Free
- Free plan
- Yes
The short version
- Mode is a collaborative analytics platform.
- Free plans on both; paid from $0.0504/mo and $65/mo.
- Only Daytona lists sub-second sandbox creation; only Mode lists SQL Editor.
- Where Daytona falls short: pricing is purely usage-based with no flat monthly plan, which can make costs harder to predict for steady workloads.
- Where Mode falls short: free tier limited to 4GB RAM and 1 CPU for SQL notebooks, insufficient for large datasets.
- Prices and features on this page were last checked on 30 August 2026.
Where they differ
Only the attributes on which Daytona and Mode actually diverge.
Identical on both: starting price (Free), free tier (Yes).
Not yet recorded: founded for Daytona.
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 Mode
- SQL Editor
- Python/R Notebooks
- Interactive Reports
- Version Control
- Scheduling
- Snowflake
- Redshift
- BigQuery
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 Mode
- Executing untrusted user code for a coding platformnot Mode
- Running GPU workloads on demand without provisioning dedicated serversnot Mode
- Testing Windows-specific code paths in a sandboxnot Mode
Mode
- Self-service analyticsnot Daytona
- Data explorationnot Daytona
- Ad-hoc reportingnot Daytona
- Collaborative analysisnot Daytona
- Embedded analyticsnot 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
Mode
- Free tier limited to 4GB RAM and 1 CPU for SQL notebooks, insufficient for large datasets
- Requires SQL knowledge for most analysis tasks, creating dependency on technical resources
- Paid plan pricing not publicly listed; requires sales consultation
- Recently acquired by ThoughtSpot in 2026, creating product direction uncertainty
- Limited customization options for visual aspects and embedded analytics
Pricing, plan by plan
Daytona
Free- Pay-as-you-goOn request
- $0.0504 per vCPU/hour
- $0.0162 per GiB memory/hour
- $0.000108 per GiB storage/hour after 5 free GiB
- Startup ProgramOn request
- Up to $50,000 in free credits for qualifying startups
- EnterpriseOn request
- Custom usage limits
- SSO
- Audit logs
Mode
Free- FreeFree
- SQL Editor
- Python/R Notebooks
- Basic Charts
- Business$65/mo
- Advanced Visualizations
- Collaboration
- Integrations
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 Mode if
- You need sql editor.
- You want to start without paying.
- You also want python/r notebooks.
Questions people ask
- Is Daytona or Mode better?
- Neither clearly leads. Daytona starts at Free and Mode at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Daytona or Mode?
- Daytona starts at Free and Mode at Free.
- Does Daytona or Mode run on more platforms?
- Daytona runs on Web, Linux, Windows, API. Mode 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 Mode is typically brought in for.
- What can Daytona do that Mode cannot?
- Daytona covers Sub-second sandbox creation, Per-second billing, GPU instances, Windows OS support. Mode covers SQL Editor, Python/R Notebooks, Interactive Reports, Version Control.
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.
SourceMode: What languages does Mode support for analysis?
Mode notebooks support SQL, Python (3.11 with pandas, NumPy, scikit-learn, matplotlib), and R (4.2.0 with ggplot2, dplyr, tidyr). Both Python and R allow additional library installation at runtime.
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.
SourceMode: Can I integrate Mode notebook results into reports?
Yes. Mode allows adding notebook cell results directly to reports, with synchronized scheduling so reports re-run to keep data current.
SourceDaytona: Are discounts available for startups?
Yes, the Startup Program offers up to $50,000 in free credits for qualifying companies.
SourceMode: Does Mode support collaborative analysis?
Yes. Mode notebooks provide moveable code blocks and markdown cells enabling exploratory analysis and team collaboration on data queries and visualizations.
SourceRelated pages
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- Mode vs CodeSandbox
- Mode vs Coder
- Mode vs Ona (formerly Gitpod)
- Mode vs Namespace
- Mode vs Terraform
- Mode vs WarpBuild
- Mode vs Sweep
- Mode vs LaunchDarkly
- Mode vs GitLab
- Mode vs Keycloak
- Mode vs Vite
- Mode vs Depot
- Mode vs Earthly
- Mode vs Eclipse IDE
- Mode vs ESLint
- Mode vs GitHub
- Mode vs Harness
- Mode vs IAR Embedded Workbench
- Mode vs Periscope Data
- Mode vs Domo
- Mode vs Fabi
- Mode vs Deepnote
- Mode vs Yellowfin
- Mode vs TIBCO Spotfire
- Mode vs Hex
- Mode vs PostHog
- Mode vs GoodData
- Mode vs Grow
- Mode vs Mixpanel
- Mode vs Pendo
- Mode vs Chartio
- Mode vs ChartMogul
- Mode vs Dundas BI
- Mode vs Exa
- Mode vs Glassbox
- Mode vs Glean
