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Developer Tools · head to head

Depot vs Mode

Depot logo

Depot

Developer Tools

Cloud-based builds and CI runs 55x faster with less cost

From
Free
Free plan
Yes
Mode logo

Mode

Business Intelligence

Collaborative analytics for data teams

From
Free
Free plan
Yes

The short version

  • Depot is a cloud-based CI/CD platform; Mode is a collaborative analytics platform.
  • Free plans on both; paid from $20/mo and $65/mo.
  • Only Depot lists Depot CI; only Mode lists SQL Editor.
  • Where Depot falls short: developer plan minute limits may be insufficient for active development.
  • 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 Depot and Mode actually diverge.

Attributes where Depot and Mode differ
AttributeDepotMode
PlatformsWeb, GitHub, APIWeb
CategoryDeveloper ToolsBusiness Intelligence
Founded20222013

Identical on both: starting price (Free), free tier (Yes).

Not yet recorded: pricing model for Depot.

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 Depot

  • Depot CI
  • Container builds
  • GitHub Actions runners
  • Distributed caching
  • Build API
  • Depot Registry
  • Cross-platform builds
  • SSH debugging

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.

Depot

  • Accelerating Docker builds for container-based developmentnot Mode
  • Replacing GitHub Actions runners with faster infrastructurenot Mode
  • Distributing cache across Monorepo buildsnot Mode
  • Debugging failed CI builds interactively with SSHnot Mode

Mode

  • Self-service analyticsnot Depot
  • Data explorationnot Depot
  • Ad-hoc reportingnot Depot
  • Collaborative analysisnot Depot
  • Embedded analyticsnot Depot

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

Depot

  • Developer plan minute limits may be insufficient for active development
  • Startup plan at $200/mo is expensive for smaller teams
  • Business plan requires custom pricing consultation
  • macOS M2 runners not available on Developer plan

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

Depot

Free
  • Developer$20/mo
    • 1 user
    • 500 Docker build minutes per month
    • 2,000 Depot CI minutes per month
  • Startup$200/mo
    • Unlimited users
    • 5,000 Docker build minutes per month
    • 20,000 Depot CI minutes per month
  • BusinessOn request
    • Custom pricing
    • Unlimited users
    • Custom monthly compute

Mode

Free
  • FreeFree
    • SQL Editor
    • Python/R Notebooks
    • Basic Charts
  • Business$65/mo
    • Advanced Visualizations
    • Collaboration
    • Integrations

Which should you pick?

Choose Depot if

  • You need depot ci.
  • You want to start without paying.
  • You work on Web, GitHub, API.
  • You also want container builds.

Choose Mode if

  • You need sql editor.
  • You want to start without paying.
  • You also want python/r notebooks.

Questions people ask

Is Depot or Mode better?
Neither clearly leads. Depot 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, Depot or Mode?
Depot starts at Free and Mode at Free.
Does Depot or Mode run on more platforms?
Depot runs on Web, GitHub, API. Mode runs on Web.
Can I use Depot for free?
Both have a free tier, so you can try either at no cost before committing.
What is Depot best used for?
Depot is most often used for accelerating docker builds for container-based development, replacing github actions runners with faster infrastructure, distributing cache across monorepo builds, debugging failed ci builds interactively with ssh. Of those, accelerating docker builds for container-based development and replacing github actions runners with faster infrastructure are not what Mode is typically brought in for.
What can Depot do that Mode cannot?
Depot covers Depot CI, Container builds, GitHub Actions runners, Distributed caching. Mode covers SQL Editor, Python/R Notebooks, Interactive Reports, Version Control.

Answered from the vendors’ own pages

Depot: How much faster are Depot runners compared to GitHub Actions?

Depot runners offer 30% faster CPUs and 10x faster networking than standard GitHub-hosted runners, enabling builds to complete significantly faster.

Source
Mode: 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.

Source
Depot: What is included in the Developer plan?

Developer plan ($20/month) includes 500 Docker build minutes, 2,000 Depot CI minutes, 2,000 GitHub Actions minutes, 25 GB storage, unlimited concurrency, and community support.

Source
Mode: 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.

Source
Depot: Can I use Depot with my own AWS account?

Yes, Depot Managed allows deployment within customer AWS accounts. This is available to interested customers; contact sales for details.

Source
Mode: 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.

Source
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