vs

Amazon RDS vs Azure Database for PostgreSQL

Amazon RDS: AWS's managed service for six relational engines: PostgreSQL, MySQL, MariaDB, Oracle, SQL Server and Db2. Azure Database for PostgreSQL: Microsoft's managed community PostgreSQL, with zone-redundant HA, DiskANN vectors and Citus elastic clusters.

key differences

  • Horizontal scaling is none in Amazon RDS and addon in Azure Database for PostgreSQL.
  • Only Azure Database for PostgreSQL has pub/sub.

choose amazon-rds for

  • +Lift-and-shift of existing PostgreSQL, MySQL or Oracle apps to AWS
  • +Standard web and line-of-business application backends
  • +Licensed commercial databases without managing servers
  • +Cost-sensitive workloads where Aurora is overkill

best at · OLTP, Content, Metadata

choose azure-database-for-postgresql for

  • +Postgres backends for Azure-hosted apps
  • +AI copilots with vectors and relational data together
  • +Migrating Oracle or on-prem Postgres into Azure
  • +Multi-tenant SaaS using Elastic Clusters

best at · OLTP, Vector search, RAG

overview
Primary model
Relational
Relational
Also supports
Document, Spatial
Document, Spatial, Vector, Graph
Type
Managed service
Managed service
Status
Active
Active
Developer
Amazon Web Services
Microsoft
First release
2009
2017
Latest version
–
–
License
ProprietaryProprietary (AWS service; engine licenses vary)
ProprietaryProprietary (Azure service; engine is PostgreSQL License)
Free tier
✓
✓
popularity
WhichDB Score
27.1
4.9
Rank
#107
#392
GitHub stars
–
–
Stack Overflow questions
7K
214
scale & guarantees
Comfortable data size
Medium (≤ 10 TB)
Medium (≤ 10 TB)
Horizontal scaling
None
Addon
Multi-region
Read replicas
Read replicas
ACID
Full
Full
Consistency
Strong, Eventual
Strong
Schema
Strict
Strict
Architecture
Primary replica, Client server
Primary replica, Client server, Distributed
deployment
Self-hosted
—
—
Vendor-managed cloud
✓
✓
Serverless
—
—
Embedded
—
—
Edge
—
—
Clouds
AWS
Azure
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, T-SQL, PL/SQL
SQL, PL/pgSQL
Client languages
Java, Python, JavaScript, Go, C#, PHP, Ruby
C#, Java, Python, JavaScript, Go, PHP, Ruby, Rust
Best for
OLTP, Content, Metadata, Geo
OLTP, Vector search, RAG, Geo

Amazon RDS vs Azure Database for PostgreSQL: FAQ

What is the difference between Amazon RDS and Azure Database for PostgreSQL?

Amazon RDS: AWS's managed service for six relational engines: PostgreSQL, MySQL, MariaDB, Oracle, SQL Server and Db2. Azure Database for PostgreSQL: Microsoft's managed community PostgreSQL, with zone-redundant HA, DiskANN vectors and Citus elastic clusters. Horizontal scaling is none in Amazon RDS and addon in Azure Database for PostgreSQL. Only Azure Database for PostgreSQL has pub/sub.

When should I choose Amazon RDS over Azure Database for PostgreSQL?

Choose Amazon RDS for lift-and-shift of existing PostgreSQL, MySQL or Oracle apps to AWS; standard web and line-of-business application backends; and licensed commercial databases without managing servers. Choose Azure Database for PostgreSQL for postgres backends for Azure-hosted apps; AI copilots with vectors and relational data together; and migrating Oracle or on-prem Postgres into Azure.

Is Amazon RDS or Azure Database for PostgreSQL more popular?

Amazon RDS ranks #107 on the WhichDB Score (27.1/100) and Azure Database for PostgreSQL ranks #392 (4.9/100). Popularity is not fit: check the requirements that matter for your project.

Are Amazon RDS and Azure Database for PostgreSQL open source?

No. Amazon RDS is proprietary, closed-source software. No. Azure Database for PostgreSQL is proprietary, closed-source software.