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Business Intelligence · head to head

Mode vs Namespace

Mode logo

Mode

Business Intelligence

Collaborative analytics for data teams

From
Free
Free plan
Yes
Namespace logo

Namespace

Developer Tools

The dev platform for the next 100 billion commits

From
Free
Free plan
Yes

The short version

  • Mode is a collaborative analytics platform; Namespace is a developer infrastructure platform.
  • Free plans on both; paid from $65/mo and $100/mo.
  • Only Mode lists SQL Editor; only Namespace lists GitHub Actions runners.
  • Where Mode falls short: free tier limited to 4GB RAM and 1 CPU for SQL notebooks, insufficient for large datasets.
  • Where Namespace falls short: developer plan is pay-as-you-go only; minimum usage unclear.
  • Prices and features on this page were last checked on 30 August 2026.

Where they differ

Only the attributes on which Mode and Namespace actually diverge.

Attributes where Mode and Namespace differ
AttributeModeNamespace
PlatformsWebWeb, macOS, Windows, Linux
CategoryBusiness IntelligenceDeveloper Tools

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

Not yet recorded: pricing model for Namespace, founded for Namespace.

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 Mode

  • SQL Editor
  • Python/R Notebooks
  • Interactive Reports
  • Version Control
  • Scheduling
  • Snowflake
  • Redshift
  • BigQuery

Only in Namespace

  • Devboxes
  • GitHub Actions runners
  • Docker builds
  • Cross-invocation caching
  • NVMe storage
  • High-speed networking
  • Multiple OS support
  • Bazel and Turborepo support

What people use each for

The jobs each tool is most often brought in to do.

Mode

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

Namespace

  • Providing AI coding agents with cloud-based development environmentsnot Mode
  • Accelerating CI builds with faster GitHub Actions runnersnot Mode
  • Distributing builds across teams with managed infrastructurenot Mode
  • Scaling development velocity for monorepo organizationsnot Mode

Where each one falls short

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

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

Namespace

  • Developer plan is pay-as-you-go only; minimum usage unclear
  • Team plan $100/mo is competitive but usage limits may be tight
  • Devbox pricing separate at $0.004/minute could add up quickly
  • Enterprise plan requires custom sales conversation

Pricing, plan by plan

Mode

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

Namespace

Free
  • DeveloperFree
    • Pay-as-you-go
    • On-demand compute
    • Docker builds
  • Team$100/mo
    • 100,000 unit minutes
    • 1,000 Docker builds
    • Everything in Developer
  • Business$250/mo
    • 250,000 unit minutes
    • 2,500 Docker builds
    • Everything in Team
  • EnterpriseOn request
    • Custom compute/Docker build limits
    • Audit log export
    • Enterprise SSO

Which should you pick?

Choose Mode if

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

Choose Namespace if

  • You need devboxes.
  • You want to start without paying.
  • You work on Web, macOS, Windows, Linux.
  • You also want github actions runners.

Questions people ask

Is Mode or Namespace better?
Neither clearly leads. Mode starts at Free and Namespace at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Mode or Namespace?
Mode starts at Free and Namespace at Free.
Does Mode or Namespace run on more platforms?
Mode runs on Web. Namespace runs on Web, macOS, Windows, Linux.
Can I use Mode for free?
Both have a free tier, so you can try either at no cost before committing.
What is Mode best used for?
Mode is most often used for self-service analytics, data exploration, ad-hoc reporting, collaborative analysis. Of those, self-service analytics and data exploration are not what Namespace is typically brought in for.
What can Mode do that Namespace cannot?
Mode covers SQL Editor, Python/R Notebooks, Interactive Reports, Version Control. Namespace covers Devboxes, GitHub Actions runners, Docker builds, Cross-invocation caching.

Answered from the vendors’ own pages

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
Namespace: How is compute usage metered on the Developer plan?

Developer plan uses pay-as-you-go billing. Devboxes bill at $0.004 per minute. Storage and caching services have separate usage-based fees. A 30-day free trial is available to test usage patterns.

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
Namespace: What is the difference between Team and Business plans?

Team ($100/mo) includes 100,000 unit minutes and 1,000 Docker builds with email support. Business ($250/mo) includes 250,000 unit minutes, 2,500 Docker builds, and high concurrency with a dedicated Slack channel.

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
Namespace: Can Namespace support AI coding agents?

Yes, Namespace Devboxes are specifically designed as feature-rich development environments for AI coding agents, with full tooling and performance optimization.

Source
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