EdgeDB vs MongoDB

Struggling to choose between EdgeDB and MongoDB? 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, MongoDB is a Development product tagged with nosql, document-database, open-source.

Its standout features include Document-oriented storage, Automatic sharding, Rich and expressive query language, High availability, Horizontal scalability, and it shines with pros like Flexible schema, High performance, Easy scalability, Rich query capabilities, High availability.

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:
Development Databases
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

MongoDB

MongoDB

MongoDB is a popular open-source, document-oriented NoSQL database. It stores data in flexible, JSON-like documents, rather than rows and columns used in traditional RDBMS. MongoDB is scalable, high-performance and easy to use.

Categories:
Development Databases
nosql document-database open-source

MongoDB Features

  1. Document-oriented storage
  2. Automatic sharding
  3. Rich and expressive query language
  4. High availability
  5. Horizontal scalability

Pricing

  • Open Source
  • Subscription-Based

Pros

Flexible schema

High performance

Easy scalability

Rich query capabilities

High availability

Cons

No transactions

No joins

Limited query flexibility compared to SQL

Steep learning curve