SQLite vs EdgeDB

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

SQLite is a Development solution with tags like database, embedded, local-storage, c-library, relational.

It boasts features such as Serverless - No separate server process needed, Zero Configuration - No setup or administration needed, Self-Contained - Contains entire database in a single disk file, Full-featured - Implements core SQL92 features, Cross-Platform - Available on all major operating systems, Small Footprint - Library size is less than 300KB, Reliable - Over 1 trillion database queries per day across millions of installations, Fast - Faster than client/server RDBMS for most common operations, Simple API - Single C library, just sqlite3.h and sqlite3.c and pros including Lightweight and fast, Serverless and zero configuration, Self-contained in a single file, Reliable and battle-tested, Available on all platforms, Simple and easy to use API, Full-featured SQL implementation, Permissive licensing.

On the other hand, EdgeDB is a Development product tagged with objectrelational, graph, graphql, horizontal-scalability, multitenancy.

Its standout features include 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 it shines with pros like Powerful and intuitive query language, Flexible data modeling capabilities, Scales horizontally, Multi-tenant capable, Strong type system.

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.

SQLite

SQLite

SQLite is a relational database management system contained in a C library. It is a popular choice as an embedded database for local/client storage in software applications due to its compact size, reliability, and availability on most platforms.

Categories:
database embedded local-storage c-library relational

SQLite Features

  1. Serverless - No separate server process needed
  2. Zero Configuration - No setup or administration needed
  3. Self-Contained - Contains entire database in a single disk file
  4. Full-featured - Implements core SQL92 features
  5. Cross-Platform - Available on all major operating systems
  6. Small Footprint - Library size is less than 300KB
  7. Reliable - Over 1 trillion database queries per day across millions of installations
  8. Fast - Faster than client/server RDBMS for most common operations
  9. Simple API - Single C library, just sqlite3.h and sqlite3.c

Pricing

  • Open Source

Pros

Lightweight and fast

Serverless and zero configuration

Self-contained in a single file

Reliable and battle-tested

Available on all platforms

Simple and easy to use API

Full-featured SQL implementation

Permissive licensing

Cons

Limited concurrency without add-ons

No user management built-in

Limited data integrity features

Not suitable for high-volume OLTP apps

No network access or client-server operation

Limited reporting and analytics features


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