EdgeDB vs Amazon Aurora

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

EdgeDB is a Development solution with tags like objectrelational, graph, graphql, horizontal-scalability, multitenancy.

It boasts features such as GraphQL-based query language, Flexible data modeling with objects, documents and graphs, Horizontal scalability and multi-tenancy, ACID transactions, Type system with inheritance and composition, Declarative schema migrations and pros including Powerful and intuitive query language, Flexible data modeling capabilities, Scales horizontally, Multi-tenant capable, Strong type system.

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.

EdgeDB

EdgeDB

EdgeDB is an open-source object-relational database management system designed for graph-like data models. It features a declarative query language based on GraphQL, flexible data modeling, horizontal scalability, and multi-tenancy support.

Categories:
objectrelational graph graphql horizontal-scalability multitenancy

EdgeDB Features

  1. GraphQL-based query language
  2. Flexible data modeling with objects, documents and graphs
  3. Horizontal scalability and multi-tenancy
  4. ACID transactions
  5. Type system with inheritance and composition
  6. Declarative schema migrations

Pricing

  • Open Source
  • Custom Pricing

Pros

Powerful and intuitive query language

Flexible data modeling capabilities

Scales horizontally

Multi-tenant capable

Strong type system

Cons

Less mature than some established RDBMS

Limited ecosystem compared to some alternatives

Not ideal for simple relational data models


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