Amazon Aurora vs AlloyDB for PostgreSQL

Amazon Aurora9.4Visit AlloyDB for PostgreSQL8.9Visit

Higher score Amazon Aurora #1 in PostgreSQL Hosting 9.4/10 Paid ✓ 2 of 4 features Visit AWS Aurora

vs

AlloyDB for PostgreSQL #6 in PostgreSQL Hosting 8.9/10 From $0.07 · 30-day trial Free trial✓ 2 of 4 features Visit Google Cloud

• Amazon Aurora fits best

  Scalable AWS PostgreSQL-compatible workloads

• AlloyDB for PostgreSQL fits best

  Analytics- and AI-heavy PostgreSQL workloads

Advertiser disclosure: iTechGuides is reader-supported. Vendors can pay for top positions in our rankings and for a place on other products' pages, and we may earn a commission when you click some links. Bought places stand at the number bought; this page and our disclosure say so. Paying vendors may get a fuller, more detailed review from our editors, and that review can change their score. How we rank.

Side by side

Feature	Amazon Aurora 9.4/10 Visit ↗	AlloyDB for PostgreSQL 8.9/10 Visit ↗
At a glance
Editor score	9.4	8.9
Ranking	#1 in PostgreSQL Hosting	#6 in PostgreSQL Hosting
Best for	Scalable AWS PostgreSQL-compatible workloads	Analytics- and AI-heavy PostgreSQL workloads
Pricing model	Paid	Paid
Starting price	—	From $0.07 · 30-day trial
Free plan	—	—
Free trial	—	30 days
Deployment	Cloud	Cloud
Platforms	Web	Web
Integrations	9 integrations	5 integrations
Features Amazon Aurora 2/4 · AlloyDB for PostgreSQL 2/4
High availability	✓	✓
Point-in-time recovery	Not checked yet	Not checked yet
Read replicas	✓	✓
Custom extensions	Not checked yet	Not checked yet
Specs
Maximum storage	Not checked yet	Not checked yet
Backup retention	Not checked yet	14 days
Our review
Pros	Provisioned and serverless deployment with automatic capacity scaling Up to 15 read replicas, automatic failover, and continuous backups Multi-Region operation with point-in-time recovery support	High availability, automatic failover, backups, and read replicas Columnar engine, index advisor, and adaptive query optimization Vector search and AI integration with Google Cloud services
Cons	Paid service with pricing that varies by region and configuration Cloud-based deployment tied to the AWS ecosystem Not an open-source database product	No free plan; pricing is usage-based rather than fixed Costs also include memory, storage, backups, and networking Designed for Google Cloud rather than self-managed deployments
Our verdict	Amazon Aurora is a fully managed, cloud-based relational database service from Amazon Web Services. It supports PostgreSQL- and MySQL-compatible database engines, along with Aurora DSQL, and is designed for enterprise applications, SaaS… Read the review →	AlloyDB for PostgreSQL is a fully managed relational database service for organizations running demanding transactional, analytical, and AI-enabled applications on Google Cloud. It maintains PostgreSQL compatibility while separating… Read the review →

Strengths and trade-offs

• Amazon Aurora — where it wins

  • Provisioned and serverless deployment with automatic capacity scaling
  • Up to 15 read replicas, automatic failover, and continuous backups
  • Multi-Region operation with point-in-time recovery support

  Where it doesn't

  • Paid service with pricing that varies by region and configuration
  • Cloud-based deployment tied to the AWS ecosystem
  • Not an open-source database product

• AlloyDB for PostgreSQL — where it wins

  • High availability, automatic failover, backups, and read replicas
  • Columnar engine, index advisor, and adaptive query optimization
  • Vector search and AI integration with Google Cloud services

  Where it doesn't

  • No free plan; pricing is usage-based rather than fixed
  • Costs also include memory, storage, backups, and networking
  • Designed for Google Cloud rather than self-managed deployments

• Amazon Aurora9.4/10 · Paid

  A managed AWS database for scalable PostgreSQL-compatible and distributed SQL workloads.

  Visit AWS AuroraFull verdict →
• AlloyDB for PostgreSQL8.9/10 · From $0.07 · 30-day trial

  A managed PostgreSQL service for demanding transactional, analytical, and AI workloads.

  Visit Google CloudFull verdict →