Dynamic Schema Management
Define your database structure with simple JSON and watch it come to life instantly. No SQL, no migrations headaches, no downtime — just describe what you need and Baasix handles the rest.
What is Dynamic Schema Management?
Traditional backend development forces you to write SQL migrations, manage database versions, and handle complex relationships manually. Baasix changes that entirely.
With Baasix, you define your data models using intuitive JSON configuration. The system automatically creates database tables, sets up relationships, generates indexes, and handles schema changes — all without you writing a single line of SQL. When you need to add a new field or create a new table, simply update your schema and Baasix takes care of the migration.
- Define schemas using simple JSON — no SQL expertise required
- Automatic table creation with proper indexes and constraints
- Support for all common field types: String, Integer, Boolean, Date, JSON, UUID, and more
- Built-in relationship support: One-to-Many, Many-to-One, Many-to-Many, and Polymorphic
- Automatic migration handling when schemas change
- Timestamps and soft deletes available with single config option
Why Developers Love Baasix Schemas
Speed up your development workflow without sacrificing flexibility or control.
✓ With Baasix
- Define schema in JSON, tables created automatically
- Add new fields instantly without migration scripts
- Relationships work out of the box with automatic joins
- Type-safe with generated TypeScript definitions
- Change schemas in development without data loss
✗ Traditional Approach
- Write SQL CREATE TABLE statements manually
- Create and run migration files for every change
- Write complex JOIN queries for relationships
- No type safety — runtime errors are common
- Risk data loss with manual migrations
Schema Capabilities
Rich Field Types
String, Text, Integer, Decimal, Boolean, Date, DateTime, UUID, JSON, Array, and specialized types like Geometry for spatial data.
Flexible Relationships
Define One-to-Many, Many-to-One, Many-to-Many, and even Polymorphic (Many-to-Any) relationships with simple configuration.
Automatic Indexes
Add indexes to your schema and Baasix creates them automatically. Unique constraints, composite indexes, and full-text search supported.
Zero-Downtime Changes
Modify your schema and see changes reflected immediately. Baasix handles the underlying migrations safely.
Soft Deletes & Timestamps
Enable paranoid mode for soft deletes or add timestamps with a single line. Built-in support for common patterns.
PostgreSQL Powered
Built on PostgreSQL, giving you access to advanced features like JSONB indexing, full-text search, and PostGIS spatial queries.
Perfect For These Use Cases
Whether you're building a startup MVP or an enterprise application, dynamic schemas accelerate your development.
Rapid Prototyping
Go from idea to working backend in minutes. Define your data model, and Baasix gives you a complete API instantly. Perfect for hackathons, MVPs, and proof-of-concepts.
SaaS Applications
Build multi-tenant applications where each customer might need custom fields. Dynamic schemas let you extend data models without complex migrations.
Content Management
Create flexible content structures for blogs, documentation, or product catalogs. Add new content types on the fly without developer intervention.
Internal Tools
Build admin panels and internal dashboards quickly. Define your data structure and get CRUD operations automatically — no backend coding required.
Built-in Schema Validations
Ensure data integrity with comprehensive validation rules applied at the API level.
Baasix includes a powerful validation system that enforces data integrity before records are created or updated. Define validation rules directly in your schema, and Baasix automatically validates incoming data and returns clear error messages when validation fails.
Required Fields
Mark fields as required to ensure they're always provided. Null checks are enforced at the API level.
Length Constraints
Set minimum and maximum length for strings. Perfect for usernames, passwords, and text content.
Pattern Matching
Validate fields against regex patterns. Enforce email formats, phone numbers, or custom patterns.
Unique Constraints
Ensure field values are unique across all records. Automatic duplicate detection with clear errors.
Numeric Ranges
Set min/max values for numbers. Validate prices, quantities, ratings, and other numeric data.
Custom Validators
Write custom validation functions for complex business logic. Async validators supported.
Automatic Database Migrations
Schema changes are handled seamlessly with version-controlled migrations and rollback support.
When you modify your schema, Baasix automatically generates and applies migrations. Track every change, rollback when needed, and maintain a complete history of your database evolution.
- Auto-generated migrations when schemas change — no manual SQL required
- Version-controlled migration history for audit and compliance
- Safe rollback support to revert problematic changes
- Pending migration detection with CLI commands
- Zero-downtime migrations for production deployments
- Export migrations as raw SQL for review or custom deployment
Frequently Asked Questions
Can I use raw SQL if needed?
Absolutely. While Baasix handles most database operations automatically, you can always write custom SQL queries when needed. The dynamic schema system complements rather than replaces traditional database access.
What happens to my data when I change a schema?
Baasix handles schema changes intelligently. Adding new fields is seamless. For more complex changes like renaming columns or changing types, Baasix will guide you through safe migration paths.
Can I export my schema to standard SQL?
Yes! You can export your entire schema as SQL migrations or JSON at any time. Baasix doesn't lock you in — your data structure is always portable.
Does this work with existing databases?
Baasix can introspect existing PostgreSQL databases and generate schemas from your current tables. You can then manage them dynamically going forward.
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