What are all the difference between relational and non-relational databases ?

#database

Answer

Overview

Relational and non-relational databases differ in how they organize, store, and relate data. This is the foundation of the SQL vs NoSQL debate.


Key Differences

FeatureRelational DatabaseNon-Relational Database
StructureTables (rows & columns)Documents, Key-Value, Graph, Column
SchemaFixed, predefined schemaDynamic, flexible schema
RelationshipsExplicit via foreign keys & JOINsEmbedded data or soft references
ConsistencyStrong ACID consistencyEventual consistency (typically)
ScalingVertical scalingHorizontal scaling
Query PowerSQL — powerful for complex queriesAPI-based, limited join support
TransactionsFull multi-table transactionsLimited or no multi-doc transactions

Relational Databases

Data is organized into tables with rows and columns. Relationships are enforced through foreign keys and retrieved with JOIN statements.

Examples: MySQL, PostgreSQL, SQLite, Oracle DB

sql
-- Users table
CREATE TABLE users (
  id INTEGER PRIMARY KEY,
  name TEXT NOT NULL,
  email TEXT UNIQUE NOT NULL
);

-- Orders table with a foreign key relationship
CREATE TABLE orders (
  id INTEGER PRIMARY KEY,
  user_id INTEGER NOT NULL,
  amount REAL,
  FOREIGN KEY (user_id) REFERENCES users(id)
);

-- JOIN to get related data
SELECT u.name, o.amount
FROM users u
JOIN orders o ON u.id = o.user_id
WHERE u.id = 1;

Pros

  • ✅ Data integrity guaranteed
  • ✅ Avoids data duplication (normalization)
  • ✅ Powerful complex queries
  • ✅ ACID transactions

Cons

  • ❌ Rigid schema — hard to change
  • ❌ Harder to scale horizontally
  • ❌ Slower for very large datasets

Non-Relational Databases

Data is stored in flexible formats — typically as documents (JSON/BSON), key-value pairs, or graphs. No fixed schema required.

Examples: Firebase Firestore, MongoDB, Redis, Hive, Cassandra

dart
// Firestore: Data stored as nested documents (no foreign keys needed)
final user = {
  'id': '001',
  'name': 'Alice',
  'email': 'alice@example.com',
  'orders': [               // Embedded directly in the document
    {'item': 'Book', 'amount': 300},
    {'item': 'Pen', 'amount': 50},
  ]
};

await FirebaseFirestore.instance
    .collection('users')
    .doc('001')
    .set(user);

Pros

  • ✅ Flexible schema — easy to evolve
  • ✅ Scales horizontally (millions of records)
  • ✅ Faster reads for document-based access
  • ✅ Natural fit for JSON APIs and mobile apps

Cons

  • ❌ Data duplication is common
  • ❌ Complex queries are harder
  • ❌ Weaker consistency guarantees

Real-World Analogy

DatabaseAnalogy
RelationalExcel spreadsheet — fixed columns, rows reference each other via IDs
Non-RelationalFolder of JSON files — each file has its own fields, no strict structure

Which to Use in Flutter?

ScenarioChoice
Local app settings
text
SharedPreferences
(Key-Value, Non-Relational)
Local structured data with relations
text
sqflite
or
text
Drift
(Relational)
Cloud real-time data
text
Firebase Firestore
(Non-Relational)
Cloud relational data
text
Supabase
(PostgreSQL - Relational)
High-performance local storage
text
Hive
or
text
Isar
(Non-Relational)

Rule of Thumb: If your data has clear relationships and needs integrity → Relational. If your data is flexible and needs to scale → Non-Relational.