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Amazon Aurora vs Google Cloud SQL

Amazon Aurora: AWS's MySQL- and PostgreSQL-compatible engine on a shared, six-way replicated storage layer. Google Cloud SQL: Google Cloud's managed MySQL, PostgreSQL and SQL Server, with an Enterprise Plus tier for fast failover.

key differences

  • Amazon Aurora is built for larger datasets (≤ 1 PB) than Google Cloud SQL (≤ 10 TB).
  • Horizontal scaling is addon in Amazon Aurora and none in Google Cloud SQL.
  • Only Amazon Aurora has pub/sub, time travel, branching.
  • Amazon Aurora has a serverless option; Google Cloud SQL does not.

choose amazon-aurora for

  • +Production MySQL or PostgreSQL backends on AWS
  • +Read-heavy web and SaaS applications
  • +Spiky or dev/test workloads on Serverless v2
  • +Cross-region disaster recovery with Global Database

best at · OLTP, Content, Metadata

choose google-cloud-sql for

  • +Standard web and mobile backends on Google Cloud
  • +Migrating on-prem MySQL, Postgres or SQL Server to GCP
  • +Cloud Run and GKE application databases
  • +WordPress and CMS hosting

best at · OLTP, Content, Metadata

Amazon AuroraAWS's MySQL- and PostgreSQL-compatible engine on a shared, six-way replicated storage layer.
Google Cloud SQLGoogle Cloud's managed MySQL, PostgreSQL and SQL Server, with an Enterprise Plus tier for fast failover.
overview
Primary model
Relational
Relational
Also supports
Document, Spatial, Vector
Document, Spatial, Vector
Type
Managed service
Managed service
Status
Active
Active
Developer
Amazon Web Services
Google
First release
2015
2011
Latest version
–
–
License
ProprietaryProprietary (AWS service)
ProprietaryProprietary (Google Cloud service)
Free tier
—
—
popularity
WhichDB Score
24.9
10.9
Rank
#123
#292
GitHub stars
–
–
Stack Overflow questions
1.6K
3.9K
scale & guarantees
Comfortable data size
Large (≤ 1 PB)
Medium (≤ 10 TB)
Horizontal scaling
Addon
None
Multi-region
Read replicas
Read replicas
ACID
Full
Full
Consistency
Strong, Eventual
Strong, Eventual
Schema
Strict
Strict
Architecture
Shared storage, Primary replica, Serverless
Primary replica, Client server
deployment
Self-hosted
—
—
Vendor-managed cloud
✓
✓
Serverless
✓
—
Embedded
—
—
Edge
—
—
Clouds
AWS
Google Cloud
capabilities
Transactions
✓
✓
Joins
✓
✓
Secondary indexes
✓
✓
Full-text search
✓
✓
Vector search
✓
✓
Geospatial
✓
✓
JSON
✓
✓
Change data capture
✓
✓
Triggers
✓
✓
Stored procedures
✓
✓
Materialized views
✓
✓
TTL / expiry
—
—
Pub/Sub
✓
—
Columnar storage
—
—
In-memory
—
—
Durable persistence
✓
✓
Compression
—
—
Encryption at rest
✓
✓
Role-based access
✓
✓
Time travel
✓
—
Branching
✓
—
Online schema changes
—
—
Streaming ingest
—
—
Offline sync
—
—
Runs in WebAssembly
—
—
interfaces
Query languages
SQL, PL/pgSQL
SQL, PL/pgSQL, T-SQL
Client languages
Java, Python, JavaScript, Go, C#, PHP, Ruby
Java, Python, Go, JavaScript, C#, PHP, Ruby
Best for
OLTP, Content, Metadata, Vector search
OLTP, Content, Metadata, Vector search
Add more to this comparisonNot sure either fits? Try smart match

Amazon Aurora vs Google Cloud SQL: FAQ

What is the difference between Amazon Aurora and Google Cloud SQL?

Amazon Aurora: AWS's MySQL- and PostgreSQL-compatible engine on a shared, six-way replicated storage layer. Google Cloud SQL: Google Cloud's managed MySQL, PostgreSQL and SQL Server, with an Enterprise Plus tier for fast failover. Amazon Aurora is built for larger datasets (≤ 1 PB) than Google Cloud SQL (≤ 10 TB). Horizontal scaling is addon in Amazon Aurora and none in Google Cloud SQL. Only Amazon Aurora has pub/sub, time travel, branching.

When should I choose Amazon Aurora over Google Cloud SQL?

Choose Amazon Aurora for production MySQL or PostgreSQL backends on AWS; read-heavy web and SaaS applications; and spiky or dev/test workloads on Serverless v2. Choose Google Cloud SQL for standard web and mobile backends on Google Cloud; migrating on-prem MySQL, Postgres or SQL Server to GCP; and cloud Run and GKE application databases.

Is Amazon Aurora or Google Cloud SQL more popular?

Amazon Aurora ranks #123 on the WhichDB Score (24.9/100) and Google Cloud SQL ranks #292 (10.9/100). Popularity is not fit: check the requirements that matter for your project.

Are Amazon Aurora and Google Cloud SQL open source?

No. Amazon Aurora is proprietary, closed-source software. No. Google Cloud SQL is proprietary, closed-source software.