ormDB vs PlanetScale
ormDB is a relational database engine written in Rust with native graph-fetch queries, safe A-D migration grading, and built-in vector search, eliminating N+1 problems at the engine level. PlanetScale is a managed MySQL platform built on Vitess with git-like schema branching and proven horizontal scaling. ormDB is self-hosted and rethinks query semantics; PlanetScale offers operational convenience at scale.
Verdict: ormDB rethinks the database engine with native graph queries; PlanetScale brings git-like branching and horizontal scaling to managed MySQL.
ormDB strengths
- Native graph-fetch queries eliminate N+1 problems at the engine level
- Entity/relation query language instead of SQL
- Safe migrations with A-D grading built into the engine
- Self-hosted with full data ownership -- no vendor dependency
- Built-in vector search, geo search, and change streams
PlanetScale strengths
- Horizontal scaling powered by Vitess (battle-tested at YouTube scale)
- Git-like schema branching for safe database development
- Managed service with zero operational overhead
- Non-blocking schema changes that avoid table locks
- MySQL compatibility for existing applications
Overview
ormDB is a relational database engine written in Rust that replaces MySQL-based platforms like PlanetScale as the database underneath your ORM. PlanetScale is a managed MySQL platform built on Vitess, the sharding middleware originally created at YouTube.
The fundamental difference: PlanetScale makes MySQL scale. ormDB rethinks what a database should understand.
Query Semantics
PlanetScale speaks SQL because it is MySQL. Your ORM translates object operations into SQL queries, and PlanetScale executes them across shards. The N+1 problem persists because MySQL has no concept of object graphs.
ormDB speaks entity/relation/graph-fetch natively. When your ORM requests a user with their orders and order items, ormDB resolves the entire graph in a single round-trip. The database understands what an object graph is and how to traverse it efficiently.
Scaling
PlanetScale’s core strength is horizontal scaling via Vitess. It shards MySQL across nodes transparently, handling billions of rows and thousands of queries per second. This is production-proven technology.
ormDB is currently a single-node database in Alpha v0.1.0. Horizontal scaling is on the roadmap. For workloads that require distributed scaling today, PlanetScale has a significant advantage.
Schema Management
PlanetScale pioneered git-like schema branching for databases. You create a branch, make schema changes, open a deploy request, and merge. Non-blocking schema changes avoid table locks during deployment.
ormDB approaches migration safety differently. Every migration is automatically graded from A (safe, zero-risk) to D (destructive, data loss possible) through ormDB’s safe migration system. The database prevents destructive migrations from executing without explicit acknowledgment. This is safety at the engine level rather than through workflow tooling.
Ownership and Control
PlanetScale is a fully managed service. You do not run the database. ormDB is self-hosted. You run it on your infrastructure, control your data, and have no vendor dependency. This is a trade-off between operational convenience and control.
When to Choose
Choose ormDB when you want a database that understands your ORM’s data model natively, you need self-hosted control, and your workload fits a single node. ormDB integrates with ORMs like Prisma and Drizzle. Choose PlanetScale when you need proven horizontal scaling, managed operations, and MySQL compatibility.
Feature Comparison
| Feature | ormDB | PlanetScale |
|---|---|---|
| Native Graph Queries | Yes | No |
| ACID Transactions | Yes | Yes |
| N+1 Elimination | Yes | No |
| Horizontal Scaling | Planned | Yes |
| Schema Branching | No | Yes |
| Change Streams (CDC) | Yes | Partial |
| Vector Search | Yes | No |
| Non-Blocking Schema Changes | Yes | Yes |
| Safe Migration Grading | Yes | No |
| Self-Hosted Option | Yes | No |
| Row-Level Security | Yes | No |
| Query Budgets | Yes | No |
Choose ormDB when
- → Your application uses an ORM and N+1 queries are a persistent problem
- → You want the database to understand entity relations natively
- → You need full control over your database and data
- → You want vector search, geo search, and CDC without extra services
- → You want migration safety grading enforced by the database
Choose PlanetScale when
- → You need proven horizontal scaling for high-traffic applications
- → You want a fully managed database with zero operational burden
- → Your application depends on MySQL compatibility
- → You want git-like schema branching for team workflows
- → You need non-blocking schema changes at scale
Frequently Asked Questions
Is PlanetScale still available?
PlanetScale removed its free tier in 2024 and focuses on enterprise customers. Check their current pricing and availability on their website.
Can I migrate from PlanetScale to ormDB?
Yes. If you use a supported ORM (Prisma, Drizzle, Sequelize, etc.), you swap the database adapter from MySQL/PlanetScale to ormDB. Your application code stays the same.
Does ormDB support horizontal scaling?
Horizontal scaling is on the ormDB roadmap. PlanetScale uses Vitess, proven at YouTube scale, for horizontal scaling today.
How do migrations compare?
PlanetScale offers git-like schema branching and non-blocking changes. ormDB grades every migration A-D for safety and prevents destructive changes without explicit acknowledgment.
Is ormDB managed or self-hosted?
ormDB is self-hosted. You run it on your own infrastructure. PlanetScale is a fully managed service.
Does ormDB use MySQL or PostgreSQL under the hood?
Neither. ormDB is a new database engine written in Rust with its own storage engine and native entity/relation/graph-fetch query language.
What about Vitess?
PlanetScale is built on Vitess, a MySQL sharding middleware created at YouTube. ormDB is a new database engine, not built on MySQL or any existing database.