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Developer Tools · head to head

Cody vs Google Cloud SQL

Cody logo

Cody

Developer Tools

AI coding assistant powered by code search

From
Free
Free plan
Yes
Google Cloud SQL logo

Google Cloud SQL

Databases

Fully managed relational database service for MySQL, PostgreSQL, and SQL Server

From
Free
Free plan
Yes

The short version

  • Cody is free; Google Cloud SQL starts at $25/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 Google Cloud SQL falls short: locked into Google Cloud ecosystem with limited cross-cloud portability.
  • Prices and features on this page were last checked on 13 November 2026.

Where they differ

Only the attributes on which Cody and Google Cloud SQL actually diverge.

Attributes where Cody and Google Cloud SQL differ
AttributeCodyGoogle Cloud SQL
Pricing modelFreemiumUsage-based
CategoryDeveloper ToolsDatabases
Founded20132008

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

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 Google Cloud SQL does not also cover.

Only in Google Cloud SQL

  • High Availability
  • Automated Backups
  • Point-in-time Recovery
  • Encryption
  • Regional/Zonal Instances
  • Read Replicas
  • Private IP
  • BigQuery

What people use each for

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

Cody

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

Google Cloud SQL

  • Transaction processingnot Cody
  • Data storagenot Cody
  • Application backendnot Cody
  • Reportingnot Cody
  • Data analyticsnot 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

Google Cloud SQL

  • Locked into Google Cloud ecosystem with limited cross-cloud portability
  • Pay-as-you-go pricing can become expensive with unpredictable workloads
  • Limited customization options compared to self-managed databases

Pricing, plan by plan

Cody

Free

No published plan breakdown. See the Cody review.

Google Cloud SQL

Free
  • Free TierFree
    • db-f1-micro instance
    • 30GB storage
    • Limited usage
  • Standard$25/mo
    • High availability
    • Automated backups
    • Point-in-time recovery

Which should you pick?

Choose Cody if

  • You want to start without paying.

Choose Google Cloud SQL if

  • You need high availability.
  • You want to start without paying.
  • You also want automated backups.

Questions people ask

Is Cody or Google Cloud SQL better?
Neither clearly leads. Cody starts at Free and Google Cloud SQL at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Cody or Google Cloud SQL?
Cody starts at Free and Google Cloud SQL at Free.
Does Cody or Google Cloud SQL run on more platforms?
Both run on Web, so platform support will not decide this one for you.
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 Google Cloud SQL is typically brought in for.
What can Cody do that Google Cloud SQL cannot?
Google Cloud SQL covers High Availability, Automated Backups, Point-in-time Recovery, Encryption.

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
Google Cloud SQL: What database engines does Google Cloud SQL support?

Google Cloud SQL supports MySQL, PostgreSQL, and SQL Server. Users can choose their preferred engine when provisioning an instance and Google handles automated backups, replication, patching, and scaling.

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
Google Cloud SQL: Does Google Cloud SQL have a free tier?

Google Cloud SQL does not have a free tier, though new users receive free trial credits from Google Cloud Platform. Pricing is based on compute resources (CPU and memory) and storage used, with options for committed use discounts.

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
Google Cloud SQL: Can Google Cloud SQL scale automatically?

Yes. Cloud SQL automatically scales database storage and compute resources to handle increased workloads without manual intervention, and includes automated backups and high availability configurations.

Source
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