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Developer Tools · head to head

Cody vs Cube

Cody logo

Cody

Developer Tools

AI coding assistant powered by code search

From
Free
Free plan
Yes
Visit CodyFull review
Cube logo

Cube

Business Intelligence

AI-native analytics platform with semantic layer and governed access

From
Free
Free plan
Yes
Visit CubeFull review

The short version

  • Cody is free; Cube starts at $40/mo.
  • Where Cody falls short: sourcegraph now publishes a single Enterprise plan starting at $16K, with no free or individual Pro tier listed on the pricing page.
  • Where Cube falls short: per-developer licensing can be expensive for large analytics teams.
  • Prices and features on this page were last checked on 13 November 2026.

Where they differ

Only the attributes on which Cody and Cube actually diverge.

Attributes where Cody and Cube differ
AttributeCodyCube
Pricing modelFreemiumPer-developer seats with volume pricing
PlatformsWebWeb, Self-hosted
CategoryDeveloper ToolsBusiness Intelligence

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

Not yet recorded: founded for Cube.

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 Cody

Nothing recorded that Cube does not also cover.

Only in Cube

  • Analytics Chat
  • Workbooks
  • Dashboards
  • Embedded Analytics
  • AI Integrations
  • Core Data APIs
  • Caching and pre-aggregations

What people use each for

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

Cody

  • Code completion and intelligent autocomplete in IDEsnot Cube
  • Developer chat with codebase context awarenessnot Cube
  • Automated debugging and error identificationnot Cube
  • Customizable prompts for workflow automationnot Cube

Cube

  • Building governed semantic data models for analyticsnot Cody
  • Embedding analytics into customer-facing productsnot Cody
  • Enabling natural language data queries for teamsnot Cody
  • Creating conversational dashboards with AI assistancenot Cody

Where each one falls short

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

Cody

  • Sourcegraph now publishes a single Enterprise plan starting at $16K, with no free or individual Pro tier listed on the pricing page
  • sourcegraph.com/cody redirects to the documentation rather than a Cody product or pricing page
  • AI features are metered as credits included per user, and exceeding the allocation requires buying a higher volume bucket
  • Volume credit buckets are sold as an add-on rather than included
  • A customer success manager and premium support are optional paid extras on top of the Enterprise plan
  • Standard support is 24x5 rather than 24x7, with round-the-clock coverage sold as an upgrade
  • The published $16K figure is a starting price that scales with team size, so the actual cost is quoted rather than listed

Cube

  • Per-developer licensing can be expensive for large analytics teams
  • Additional cost for Explorer and Viewer roles beyond developers
  • Semantic layer approach requires upfront modeling investment
  • Smaller connector ecosystem than dedicated BI platforms
  • May be overengineered for simple reporting needs

Pricing, plan by plan

Cody

Free

No published plan breakdown. See the Cody review.

Cube

Free
  • FreeFree
    • For hobbyists and personal projects
    • Basic data source connection
    • Semantic modeling
  • Starter$40
    • Extended agent limits
    • Premium LLMs
    • Unlimited workbooks
  • Premium$80
    • All Starter features
    • Embedded dashboards
    • Embedded analytics chat
  • EnterpriseOn request
    • 99.990% uptime SLA
    • Dedicated single-tenant installation
    • Bring Your Own Cloud

Which should you pick?

Choose Cody if

  • You want to start without paying.
Cody review

Choose Cube if

  • You need analytics chat.
  • You want to start without paying.
  • You work on Web, Self-hosted.
  • You also want workbooks.
Cube review

Questions people ask

Is Cody or Cube better?
Neither clearly leads. Cody starts at Free and Cube at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Cody or Cube?
Cody starts at Free and Cube at Free.
Does Cody or Cube run on more platforms?
Cody runs on Web. Cube runs on Web, Self-hosted.
Can I use Cody for free?
Both have a free tier, so you can try either at no cost before committing.
What is Cody best used for?
Cody is most often used for code completion and intelligent autocomplete in ides, developer chat with codebase context awareness, automated debugging and error identification, customizable prompts for workflow automation. Of those, code completion and intelligent autocomplete in ides and developer chat with codebase context awareness are not what Cube is typically brought in for.
What can Cody do that Cube cannot?
Cube covers Analytics Chat, Workbooks, Dashboards, Embedded Analytics.

Answered from the vendors’ own pages

Cody: Is Cody free?

Cody offers a free tier for individual developers via VS Code, JetBrains, Visual Studio, and the web app. Unlimited free usage is available for solo developers.

Source
Cube: What is the cost per developer on Cube?

Starter plan costs $40/developer/month. Premium adds embedded analytics at $80/developer/month. Explorer and Viewer roles cost $40 and $20/month respectively.

Source
Cody: What does Cody Enterprise cost?

Cody Enterprise pricing is custom and requires contacting Sourcegraph sales. It is available for Sourcegraph Enterprise customers and must be quoted based on your deployment and usage needs.

Source
Cube: What uptime SLAs does Cube offer?

Premium plan offers 99.950% uptime SLA. Enterprise plan provides 99.990% uptime SLA with dedicated support.

Source
Cody: What LLMs does Cody use?

Cody uses the latest large language models for code completions, chat, and debugging. It leverages Sourcegraph's advanced Search API to pull codebase context from local and remote repositories.

Source
Cube: Can I use Cube for free?

Yes, the Free plan includes basic data source connection, semantic modeling, workbooks, and dashboards for hobbyists and personal projects.

Source
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