Amazon Aurora vs Oracle Database

Struggling to choose between Amazon Aurora and Oracle Database? Both products offer unique advantages, making it a tough decision.

Amazon Aurora is a Development solution with tags like cloud, database, aws, relational-database, fully-managed.

It boasts features such as Fully managed by AWS, Compatible with MySQL and PostgreSQL, Auto scaling storage, High availability, Fast performance, Serverless option available, Distributed and replicated architecture, Point-in-time recovery, Automated backups and pros including High performance, High availability, Cost efficient, Easy to manage, Scalable storage, Compatible with MySQL and PostgreSQL.

On the other hand, Oracle Database is a Business & Commerce product tagged with relational, multimodel, json, xml, document, keyvalue, graph.

Its standout features include Relational database management system, Support for JSON, XML, and other data types, Advanced security features, High availability and scalability, Automated management and tuning, Cloud integration, In-memory database option, and it shines with pros like Industry-leading performance and scalability, Comprehensive built-in security, Support for many data types and models, Mature product with many advanced features, Wide third-party ecosystem and support.

Feature	Amazon Aurora	Oracle Database
Overall Score	N/A	N/A
Primary Category	Development	Business & Commerce

Product Overview

Amazon Aurora

Description: Amazon Aurora is a fully managed relational database service created by Amazon Web Services (AWS). It offers the performance and availability of traditional enterprise databases at a lower cost.

Oracle Database

Description: Oracle Database is a proprietary relational database management system developed and marketed by Oracle Corporation. It is a multi-model database management system, supporting relational, JSON, XML, document, key-value, and graph databases.

Key Features Comparison

Amazon Aurora Features

• Fully managed by AWS
• Compatible with MySQL and PostgreSQL
• Auto scaling storage
• High availability
• Fast performance
• Serverless option available
• Distributed and replicated architecture
• Point-in-time recovery
• Automated backups

Oracle Database Features

• Relational database management system
• Support for JSON, XML, and other data types
• Advanced security features
• High availability and scalability
• Automated management and tuning
• Cloud integration
• In-memory database option

Pros & Cons Analysis

Amazon Aurora

Pros

• High performance
• High availability
• Cost efficient
• Easy to manage
• Scalable storage
• Compatible with MySQL and PostgreSQL

Cons

• Only available on AWS
• Can be complex to configure and manage
• Not open source
• Vendor lock-in

Oracle Database

Pros

• Industry-leading performance and scalability
• Comprehensive built-in security
• Support for many data types and models
• Mature product with many advanced features
• Wide third-party ecosystem and support

Cons

• Complex and can be difficult to use
• Expensive licensing model
• Vendor lock-in
• Requires specialized DBA skills to fully utilize
• Upgrades can be disruptive

Pricing Comparison

Amazon Aurora

• Pay-As-You-Go

Oracle Database

• Subscription-Based
• Pay-As-You-Go