IBM DB2 vs Amazon Aurora

Struggling to choose between IBM DB2 and Amazon Aurora? Both products offer unique advantages, making it a tough decision.

IBM DB2 is a Business & Commerce solution with tags like relational-database, rdbms, xml, json, multiplatform.

It boasts features such as Relational database management system (RDBMS), Advanced database features like row-level locking, stored procedures, triggers, XML and JSON data type support, Runs on multiple platforms like Linux, UNIX and Windows and pros including High performance and scalability, Data compression for reduced storage requirements, Advanced security features, Supports complex data types like geospatial data, Compatibility with many programming languages and frameworks.

On the other hand, Amazon Aurora is a Development product tagged with cloud, database, aws, relational-database, fully-managed.

Its standout features include 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 it shines with pros like High performance, High availability, Cost efficient, Easy to manage, Scalable storage, Compatible with MySQL and PostgreSQL.

To help you make an informed decision, we've compiled a comprehensive comparison of these two products, delving into their features, pros, cons, pricing, and more. Get ready to explore the nuances that set them apart and determine which one is the perfect fit for your requirements.

IBM DB2

IBM DB2

IBM DB2 is a relational database management system (RDBMS) developed by IBM. It supports advanced database features like row-level locking, stored procedures, triggers, XML data type storage, and native JSON data type support. DB2 runs on multiple platforms like Linux, UNIX, and Windows.

Categories:
relational-database rdbms xml json multiplatform

IBM DB2 Features

  1. Relational database management system (RDBMS)
  2. Advanced database features like row-level locking, stored procedures, triggers
  3. XML and JSON data type support
  4. Runs on multiple platforms like Linux, UNIX and Windows

Pricing

  • Subscription-Based
  • Pay-As-You-Go

Pros

High performance and scalability

Data compression for reduced storage requirements

Advanced security features

Supports complex data types like geospatial data

Compatibility with many programming languages and frameworks

Cons

Can be complex to administer

Limited cloud capabilities compared to other databases

Vendor lock-in

Expensive licensing model


Amazon Aurora

Amazon Aurora

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.

Categories:
cloud database aws relational-database fully-managed

Amazon Aurora Features

  1. Fully managed by AWS
  2. Compatible with MySQL and PostgreSQL
  3. Auto scaling storage
  4. High availability
  5. Fast performance
  6. Serverless option available
  7. Distributed and replicated architecture
  8. Point-in-time recovery
  9. Automated backups

Pricing

  • Pay-As-You-Go

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