ormDB vs Firebase
ormDB is a relational database engine written in Rust with native graph-fetch queries, ACID transactions, and full data ownership under MIT license. Firebase is Google's backend-as-a-service offering real-time sync, auth, hosting, and offline support. ormDB is for teams that want to own their database with relational guarantees; Firebase is for teams that want a complete managed backend.
Verdict: ormDB is a relational database engine you own and control; Firebase is Google's BaaS with real-time sync, auth, and hosting.
ormDB strengths
- Full relational model with ACID transactions and referential integrity
- Native graph-fetch queries eliminate N+1 and denormalization hacks
- Complete data ownership -- no vendor lock-in
- MIT-licensed and self-hosted
- Built-in vector search, geo search, safe migrations, and query budgets
Firebase strengths
- Complete backend platform: auth, hosting, storage, cloud functions
- Real-time sync across clients with offline support
- Zero infrastructure management -- fully managed by Google
- Generous free tier (Spark plan) for prototyping
- Deep integration with Android, iOS, and web SDKs
Overview
ormDB is a relational database engine written in Rust that replaces Firebase’s database layer (Firestore or Realtime Database) with a relational engine you own and control. Firebase is Google’s backend-as-a-service platform that bundles a database with authentication, hosting, storage, cloud functions, and real-time sync.
The comparison is between a database engine and a platform. ormDB gives you the database. Firebase gives you the entire backend.
Data Model
Firebase Firestore stores data as denormalized documents in collections. To avoid slow queries, you duplicate data across collections. This denormalization is by design — Firestore queries cannot join across collections efficiently.
ormDB stores data as entities with relations. You model your data naturally (users have orders, orders have items) and the database enforces referential integrity. Graph-fetch queries retrieve entire object graphs in one round-trip without denormalization.
Transactions and Integrity
Firestore supports transactions but with limitations: they can only touch 500 documents, must complete within 10 seconds, and require careful batching. There is no referential integrity — your application code must enforce consistency.
ormDB provides full ACID transactions without document-count limits. Referential integrity is enforced at the engine level. You cannot create orphaned records because the database prevents it.
Real-Time Capabilities
Firebase’s strongest feature is real-time sync. Clients subscribe to data and receive updates instantly. Offline support caches data locally and syncs when connectivity returns. This is deeply integrated into Firebase’s mobile and web SDKs.
ormDB provides change streams (CDC) at the engine level. These emit events on data mutations and enable real-time features, but building client-side offline sync on top of change streams requires additional work.
Ownership and Control
Firebase runs on Google Cloud. Your data lives in Google’s infrastructure. Migrating away requires extracting and restructuring data from Firestore’s document model.
ormDB is MIT-licensed and self-hosted. You run it on any infrastructure, own your data completely, and have zero vendor lock-in.
When to Choose
Choose ormDB when you need relational integrity, you want to own your database, and your application uses an ORM. ormDB is especially well-suited for SaaS backends and mobile backends. Choose Firebase when you want a complete backend with real-time sync, auth, and mobile SDKs, and you accept the platform dependency.
Feature Comparison
| Feature | ormDB | Firebase |
|---|---|---|
| Native Graph Queries | Yes | No |
| ACID Transactions | Yes | Partial |
| Referential Integrity | Yes | No |
| Real-Time Sync | Partial | Yes |
| Built-In Auth | No | Yes |
| Offline Support | No | Yes |
| Vector Search | Yes | No |
| Change Streams (CDC) | Yes | Yes |
| Row-Level Security | Yes | Yes |
| Self-Hosted | Yes | No |
| Safe Migration Grading | Yes | N/A |
| Geo Search | Yes | Partial |
Choose ormDB when
- → You need relational data with enforced integrity, not denormalized documents
- → You want to own your data and avoid vendor lock-in
- → Your application uses an ORM and you want native graph queries
- → You need ACID transactions without the limitations of Firestore
- → You need vector search or complex relational queries
Choose Firebase when
- → You want a complete backend with auth, hosting, and storage included
- → You need real-time sync with offline support across mobile clients
- → You want zero infrastructure management
- → Your app is mobile-first and benefits from Firebase's native SDKs
- → You are prototyping and want the fastest path to a working app
Frequently Asked Questions
Is ormDB a Firebase alternative?
ormDB replaces the database layer. Firebase is a complete backend platform. If you only need a database with real-time capabilities, ormDB is a self-hosted alternative. If you need auth, hosting, and storage, you would need additional services alongside ormDB.
Can I migrate from Firebase to ormDB?
Yes, but it requires restructuring. Firebase uses denormalized documents. ormDB uses relational entities. You would model your data relationally and use an ORM adapter to connect your application.
Does ormDB have real-time features?
ormDB provides change streams (CDC) that emit events on data mutations. This enables real-time features but is not the same as Firebase's client-side real-time sync with offline support.
What about Firebase security rules?
ormDB provides [row-level security](/guides/row-level-security) at the engine level. Firebase uses declarative security rules. Both control data access, but the implementation model differs.
Is Firebase free?
Firebase has a free Spark plan with usage limits. ormDB is MIT-licensed and free to self-host, but you pay for your own infrastructure.
Does ormDB work with mobile apps?
ormDB is a server-side database. Mobile apps connect through your backend API. Firebase provides native mobile SDKs with direct database access.
Why not just use Firestore?
Firestore forces denormalization and lacks referential integrity. ormDB gives you relational guarantees with graph-fetch queries, so you model data naturally without duplication.