​
Database Configuration

The Database Dashboard in CodeNull allows you to visually design and manage your application’s data models without writing complex database code. Our no-code tools help you create, relate, and query your data with ease.

​
The Database Configuration Process

1

Design Data Models

Create your database schema:

  • Define entity types
  • Set up fields and properties
  • Configure data types and validation
  • Establish primary keys
2

Define Relationships

Connect your data models:

  • One-to-one relationships
  • One-to-many relationships
  • Many-to-many relationships
  • Self-referential relationships
3

Configure Indexes

Optimize database performance:

  • Create indexes for frequent queries
  • Set up unique constraints
  • Configure composite indexes
  • Plan index strategy
4

Set Up Validation Rules

Ensure data integrity:

  • Required fields
  • Field format validation
  • Value constraints
  • Custom validation rules
5

Create Initial Data

Prepare your database for use:

  • Default records
  • Seed data
  • Test data sets
  • Migration plans

​
Database Dashboard Tools

CodeNull’s Database Dashboard features several tools to make database management accessible:

​
Schema Designer

The visual Schema Designer helps you create and visualize your data models:

Key features:

  • Drag-and-drop model creation
  • Visual relationship mapping
  • Field type selection
  • Validation rule builder

​
Data Explorer

Browse and manage your database with the Data Explorer:

Features include:

  • Browse collections/tables
  • Filter and sort records
  • Edit data directly
  • Import/export functionality

​
Query Builder

Create complex database queries without writing code:

Query capabilities:

  • Visual condition building
  • Join across collections
  • Aggregation operations
  • Projection controls

​
Supported Database Types

CodeNull supports several database types to meet your application needs:

MongoDB

Document-based NoSQL database for flexible, schema-less data

PostgreSQL

Powerful relational database with advanced features

MySQL

Popular relational database for structured data

Excel Import

Import existing Excel data into your application

CSV Import

Use comma-separated value files as data sources

JSON Import

Import JSON data structures into your database

​
Best Practices

Denormalize data (duplicate some information across collections) when using NoSQL databases to improve read performance for common queries.

  • Keep relationships simple: Avoid overly complex relationship structures
  • Consider query patterns: Design your schema based on how you’ll query the data
  • Use appropriate field types: Choose the right data type for each field
  • Plan for scale: Consider how your data model will handle growth
  • Document your schema: Keep clear documentation of your data model

​
Data Security

CodeNull provides robust security features for your database:

​
Next Steps

Once you’ve configured your database, you’re ready to move on to Deployment & Evaluation to deploy your application and monitor its performance.