Oracle Database vs Amazon Aurora

Oracle Database9.2Visit Amazon Aurora9.0Visit

Higher score Oracle Database #3 in Relational Databases 9.2/10 Free plan Free plan✓ 4 of 4 features Visit Oracle

vs

Amazon Aurora #5 in Relational Databases 9.0/10 Paid ✓ 4 of 4 features Visit AWS Aurora

• Oracle Database fits best

  Enterprise databases with broad capabilities

• Amazon Aurora fits best

  Scalable managed PostgreSQL or MySQL

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Side by side

Feature	Oracle Database 9.2/10 Visit ↗	Amazon Aurora 9.0/10 Visit ↗
At a glance
Editor score	9.2	9.0
Ranking	#3 in Relational Databases	#5 in Relational Databases
Best for	Enterprise databases with broad capabilities	Scalable managed PostgreSQL or MySQL
Pricing model	Free plan + paid	Paid
Starting price	Free plan	—
Free plan	✓ (best)	—
Free trial	—	—
Deployment	Cloud, Self-hosted	Cloud
Platforms	Windows, Linux, Web	Web
Support	Community, Docs, Tickets	Email, Live chat, Phone, Tickets, Community, Docs · 24/7
Integrations	6 integrations	9 integrations
Built for	Mid-market, Enterprise	Small business, Mid-market, Enterprise
Features Oracle Database 4/4 · Amazon Aurora 4/4
Managed service	✓	✓
High availability	✓	✓
Read replicas	✓	✓
JSON data support	✓	✓
Specs
Deployment model	Both	Cloud
Backup retention	Not checked yet	Not checked yet
Maximum connections	Not checked yet	Not checked yet
Our review
Pros	Supports relational, JSON, graph, spatial, text, and vector workloads Includes RAC, Data Guard, failover, and replica offloading capabilities Runs across cloud, partner clouds, private environments, and on premises	PostgreSQL- and MySQL-compatible engines with serverless options Automatic scaling, failover, backups, and point-in-time recovery Up to 15 read replicas plus multi-Region database support
Cons	Proprietary rather than open source Pricing spans editions, licensing models, services, and consumption metrics Broad capabilities may exceed the needs of simpler database projects	No permanent free plan Pricing varies by region, engine, capacity, storage, and I/O Cloud-based service with AWS ecosystem dependencies
Our verdict	Oracle Database is a relational database platform for enterprise transactional, analytical, application-development, and distributed workloads. Its scope extends beyond relational SQL and PL/SQL to include JSON storage and querying, graph,… Read the review →	Amazon Aurora is a fully managed, cloud-based relational database service from Amazon Web Services. It supports PostgreSQL- and MySQL-compatible engines, along with Aurora DSQL, a distributed SQL engine. Provisioned and serverless… Read the review →

Strengths and trade-offs

• Oracle Database — where it wins

  • Supports relational, JSON, graph, spatial, text, and vector workloads
  • Includes RAC, Data Guard, failover, and replica offloading capabilities
  • Runs across cloud, partner clouds, private environments, and on premises

  Where it doesn't

  • Proprietary rather than open source
  • Pricing spans editions, licensing models, services, and consumption metrics
  • Broad capabilities may exceed the needs of simpler database projects

• Amazon Aurora — where it wins

  • PostgreSQL- and MySQL-compatible engines with serverless options
  • Automatic scaling, failover, backups, and point-in-time recovery
  • Up to 15 read replicas plus multi-Region database support

  Where it doesn't

  • No permanent free plan
  • Pricing varies by region, engine, capacity, storage, and I/O
  • Cloud-based service with AWS ecosystem dependencies

• Oracle Database9.2/10 · Free plan

  A mature enterprise database with unusually broad data-model and availability capabilities.

  Visit OracleFull verdict →
• Amazon Aurora9.0/10 · Paid

  A managed AWS database for scalable PostgreSQL, MySQL, and distributed SQL workloads.

  Visit AWS AuroraFull verdict →