EdgeDB vs CrateDB

Struggling to choose between EdgeDB and CrateDB? 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, CrateDB is a Development product tagged with sql, distributed, scalable, open-source.

Its standout features include Horizontally scalable and fault tolerant, ANSI SQL support, Real-time analytics, Geo-distributed replication, Automatic sharding, Full-text search, In-memory columnar storage engine, NoSQL access via REST API, and it shines with pros like Highly scalable, Fast query performance, Flexible SQL and NoSQL access, Open source with permissive license, Easy to deploy and manage.

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


CrateDB

CrateDB

CrateDB is an open source distributed SQL database that focuses on scalability, performance, and ease of use. It can ingest billions of records per day and run queries across large datasets in real time. CrateDB uses a shared-nothing architecture to horizontally scale reads and writes.

Categories:
sql distributed scalable open-source

CrateDB Features

  1. Horizontally scalable and fault tolerant
  2. ANSI SQL support
  3. Real-time analytics
  4. Geo-distributed replication
  5. Automatic sharding
  6. Full-text search
  7. In-memory columnar storage engine
  8. NoSQL access via REST API

Pricing

  • Open Source

Pros

Highly scalable

Fast query performance

Flexible SQL and NoSQL access

Open source with permissive license

Easy to deploy and manage

Cons

Limited ecosystem compared to leading databases

Not ideal for complex transactions

Steep learning curve for advanced features