Developer Tools · head to head
Depot vs Google Cloud SQL

Depot
Developer Tools
Cloud-based builds and CI runs 55x faster with less cost
- From
- Free
- Free plan
- Yes

Google Cloud SQL
Databases
Fully managed relational database service for MySQL, PostgreSQL, and SQL Server
- From
- Free
- Free plan
- Yes
The short version
- Depot is a cloud-based CI/CD platform.
- Free plans on both; paid from $20/mo and $25/mo.
- Only Depot lists Depot CI; only Google Cloud SQL lists high Availability.
- Where Depot falls short: developer plan minute limits may be insufficient for active development.
- 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 30 August 2026.
Where they differ
Only the attributes on which Depot and Google Cloud SQL actually diverge.
| Attribute | Depot | Google Cloud SQL |
|---|---|---|
| Platforms | Web, GitHub, API | Web |
| Category | Developer Tools | Databases |
| Founded | 2022 | 2008 |
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 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.
Depot
- Accelerating Docker builds for container-based developmentnot Google Cloud SQL
- Replacing GitHub Actions runners with faster infrastructurenot Google Cloud SQL
- Distributing cache across Monorepo buildsnot Google Cloud SQL
- Debugging failed CI builds interactively with SSHnot Google Cloud SQL
Google Cloud SQL
- Transaction processingnot Depot
- Data storagenot Depot
- Application backendnot Depot
- Reportingnot Depot
- Data 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
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
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
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 Depot if
- You need depot ci.
- You want to start without paying.
- You work on Web, GitHub, API.
- You also want container builds.
Choose Google Cloud SQL if
- You need high availability.
- You want to start without paying.
- You also want automated backups.
Questions people ask
- Is Depot or Google Cloud SQL better?
- Neither clearly leads. Depot 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, Depot or Google Cloud SQL?
- Depot starts at Free and Google Cloud SQL at Free.
- Does Depot or Google Cloud SQL run on more platforms?
- Depot runs on Web, GitHub, API. Google Cloud SQL 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 Google Cloud SQL is typically brought in for.
- What can Depot do that Google Cloud SQL cannot?
- Depot covers Depot CI, Container builds, GitHub Actions runners, Distributed caching. Google Cloud SQL covers High Availability, Automated Backups, Point-in-time Recovery, Encryption.
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.
SourceGoogle 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.
SourceDepot: 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.
SourceGoogle 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.
SourceDepot: 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.
SourceGoogle 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.
SourceRelated pages
More on Google Cloud SQL
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- Depot vs Valkey
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- Depot vs Amazon Aurora
- Depot vs Microsoft SQL Server
- Depot vs Postgres
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- Google Cloud SQL vs WarpBuild
- Google Cloud SQL vs Blacksmith
- Google Cloud SQL vs Nixpacks
- Google Cloud SQL vs Buildkite
- Google Cloud SQL vs GitLab CI/CD
- Google Cloud SQL vs Namespace
- Google Cloud SQL vs Jenkins
- Google Cloud SQL vs Kubernetes
- Google Cloud SQL vs Earthly
- Google Cloud SQL vs Nx Cloud
- Google Cloud SQL vs Docker
- Google Cloud SQL vs ESLint
- Google Cloud SQL vs GitHub
- Google Cloud SQL vs Harness
- Google Cloud SQL vs IAR Embedded Workbench
- Google Cloud SQL vs Keil MDK
- Google Cloud SQL vs Moonrepo
- Google Cloud SQL vs GitLab
- Google Cloud SQL vs Amazon RDS
- Google Cloud SQL vs Azure SQL
- Google Cloud SQL vs Cockroach Labs
- Google Cloud SQL vs Aiven
- Google Cloud SQL vs PostgreSQL
- Google Cloud SQL vs MariaDB
- Google Cloud SQL vs DataStax
- Google Cloud SQL vs Typesense
- Google Cloud SQL vs Valkey
- Google Cloud SQL vs Apache Doris
- Google Cloud SQL vs Apache Hadoop
- Google Cloud SQL vs Apache Spark
- Google Cloud SQL vs Amazon Aurora
- Google Cloud SQL vs Microsoft SQL Server
- Google Cloud SQL vs Postgres
- Google Cloud SQL vs Apache Solr
- Google Cloud SQL vs Amazon Redshift
- Google Cloud SQL vs CosmosDB
