Developer Tools · head to head
Fig vs Google Cloud SQL
Fig
Developer Tools
IDE-style autocomplete for your existing terminal
- 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
- Fig is free; Google Cloud SQL starts at $25/mo.
- Where Fig falls short: the standalone desktop app is no longer available or supported.
- 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 Fig and Google Cloud SQL actually diverge.
| Attribute | Fig | Google Cloud SQL |
|---|---|---|
| Pricing model | Freemium | Usage-based |
| Category | Developer Tools | Databases |
| Founded | 2020 | 2008 |
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 Fig
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.
Fig
No use cases recorded yet. See the Fig review.
Google Cloud SQL
- Transaction processingnot Fig
- Data storagenot Fig
- Application backendnot Fig
- Reportingnot Fig
- Data analyticsnot Fig
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Fig
- Shut down on 1 September 2024. Amazon acquired Fig in August 2023 and folded it into Amazon Q Developer, which now carries the terminal autocomplete
- The standalone desktop app is no longer available or supported
- The completion specs remain open source on GitHub, but the product that consumed them is gone
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
Fig
FreeNo published plan breakdown. See the Fig 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 Google Cloud SQL if
- You need high availability.
- You want to start without paying.
- You also want automated backups.
Questions people ask
- Is Fig or Google Cloud SQL better?
- Neither clearly leads. Fig 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, Fig or Google Cloud SQL?
- Fig starts at Free and Google Cloud SQL at Free.
- Does Fig 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 Fig for free?
- Both have a free tier, so you can try either at no cost before committing.
- What can Fig 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
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.
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.
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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- Google Cloud SQL vs Sweep
- Google Cloud SQL vs Cody
- Google Cloud SQL vs Warp
- Google Cloud SQL vs Visual Studio Code
- Google Cloud SQL vs CodeSandbox
- Google Cloud SQL vs GitLab
- Google Cloud SQL vs Keycloak
- Google Cloud SQL vs Vite
- Google Cloud SQL vs Daytona
- Google Cloud SQL vs Depot
- Google Cloud SQL vs ESLint
- Google Cloud SQL vs Helix
- Google Cloud SQL vs Refact
- Google Cloud SQL vs Restate
- Google Cloud SQL vs RubyMine
- Google Cloud SQL vs Soketi
- Google Cloud SQL vs SonarQube
- Google Cloud SQL vs Sourcegraph
- 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
