CrateDB vs EdgeDB
Struggling to choose between CrateDB and EdgeDB? Both products offer unique advantages, making it a tough decision.
CrateDB is a Development solution with tags like sql, distributed, scalable, open-source.
It boasts features such as 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 pros including Highly scalable, Fast query performance, Flexible SQL and NoSQL access, Open source with permissive license, Easy to deploy and manage.
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.
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:
CrateDB Features
- 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
Pricing
- Open Source
Pros
Cons
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:
EdgeDB Features
- 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
Pricing
- Open Source
- Custom Pricing