Best Database for Python/Django
ormDB is a relational database engine written in Rust that replaces PostgreSQL, MySQL, or SQLite as the database backend for Python and Django applications. Its graph-fetch model eliminates the N+1 queries common in Django's select_related and prefetch_related patterns, and its migration grading system provides safety guarantees beyond Django's built-in migration framework. It is in Alpha v0.1.0 under the MIT license.
Why Django Developers Need a Database That Understands Relations Natively
Django’s ORM is built around relations: ForeignKey, ManyToManyField, OneToOneField. But the database underneath, whether PostgreSQL, MySQL, or SQLite, thinks in flat tables and joins. This mismatch is why every Django developer eventually fights N+1 queries, wrestles with select_related depth limits, and builds custom prefetch chains.
ormDB is a relational database engine written in Rust that replaces PostgreSQL, MySQL, or SQLite. It is not an ORM. It is not competing with Django’s ORM. It is the database that makes Django’s ORM faster. You keep Django and swap the database underneath.
The Django N+1 Problem
Every Django developer knows this pattern: a view loads a queryset, a template or serializer accesses related objects, and suddenly Django fires dozens of queries. select_related helps for foreign keys but does not work for reverse relations or many-to-many. prefetch_related batches queries but still issues separate database calls. ormDB’s graph fetches eliminate this entirely by returning complete object hierarchies in a single round-trip. Learn more about how ormDB solves N+1 queries.
Migration Safety for Django Teams
Django’s makemigrations and migrate commands are convenient but provide no safety grading. A migration that adds a non-nullable column without a default will lock the table and potentially cause downtime. ormDB grades every migration from A (safe) to D (dangerous), giving Django teams explicit risk assessment before any migration runs.
Real-Time Django Without Redis
Django Channels typically relies on Redis for real-time messaging. ormDB’s native change streams provide data change notifications directly from the database, enabling real-time features in Django applications without deploying and maintaining a separate Redis instance for the data notification layer.
AI/ML Features for Django Applications
Python is the language of AI/ML, and Django applications increasingly integrate AI features. ormDB includes native vector search, eliminating the need to integrate pgvector or external services like Pinecone. Django applications can store and query embeddings directly in the same database as their relational data.
Multi-Tenancy for Django SaaS
Django multi-tenancy typically requires custom model managers or middleware that scopes every queryset to a tenant. ormDB’s row-level security enforces tenant isolation at the database layer, making it structurally impossible for a Django view to accidentally return another tenant’s data.
For Django developers who want a database that matches Django ORM’s relational worldview, ormDB provides native relation support, graph fetches, and the safety guarantees that production Django applications demand.
Frequently Asked Questions
Does ormDB work as a Django database backend?
ormDB is designed as a database engine replacement. Django applications can connect to ormDB through a database backend, keeping their existing models and ORM queries while the underlying engine changes.
How does ormDB solve Django's N+1 query problem?
Django's select_related uses JOINs and prefetch_related issues separate queries. Both approaches have limitations with deeply nested relations. ormDB's graph fetches return entire object hierarchies in a single database operation, eliminating the N+1 pattern entirely.
Can I use Django models with ormDB?
Yes. ormDB operates at the database layer. Your Django models, managers, and querysets remain the same. The database engine underneath is what changes.
Is ormDB faster than PostgreSQL for Django apps?
ormDB eliminates N+1 queries through graph fetches and uses a zero-copy wire protocol. For Django views that load complex related objects (common in DRF serializers), this significantly reduces query count and response time.
Does ormDB support Django's migration framework?
ormDB provides its own migration system with A-D safety grading, offering stronger guarantees than Django's built-in makemigrations/migrate workflow.
Can ormDB replace Redis for Django Channels real-time features?
ormDB's native change streams can serve as the data change notification layer for Django applications. For general-purpose pub/sub messaging in Django Channels, Redis may still be appropriate alongside ormDB.
What is ormDB's current status for Django production use?
ormDB is in Alpha v0.1.0, MIT licensed, built by incredlabs. It is suitable for evaluation and Django prototyping. Production adoption should be assessed based on your application's stability requirements.