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SQL vs NoSQL: A Database Selection Guide

F. Çağrı BilgehanJanuary 19, 202611 min read
databasesqlnosqlpostgresqlmongodb

SQL vs NoSQL: A Database Selection Guide

Database selection is one of the most critical architectural decisions in software projects. The wrong choice leads to serious performance and scaling issues down the road. SQL or NoSQL?

SQL Databases (Relational)

Store data in tables with predefined schemas, using the SQL query language.

CREATE TABLE users (
  id SERIAL PRIMARY KEY,
  name VARCHAR(100) NOT NULL,
  email VARCHAR(255) UNIQUE NOT NULL
);

SELECT u.name, COUNT(o.id) as order_count
FROM users u
LEFT JOIN orders o ON u.id = o.user_id
GROUP BY u.name;

ACID Guarantees: Atomicity, Consistency, Isolation, Durability

Popular: PostgreSQL, MySQL, SQLite, SQL Server

NoSQL Databases

Flexible schemas, horizontal scaling, and various data models.

Types

  1. Document Store (MongoDB, Firestore) — JSON-like documents
  2. Key-Value Store (Redis, DynamoDB) — Simple key→value pairs
  3. Column-Family (Cassandra, ScyllaDB) — Optimized for analytics
  4. Graph Database (Neo4j) — Relationship-heavy data

Comparison

| Feature | SQL | NoSQL | |---------|-----|-------| | Schema | Fixed (strict) | Flexible (schemaless) | | Scaling | Vertical (scale up) | Horizontal (scale out) | | Relationships | Strong (JOINs) | Embedded/denormalized | | Consistency | ACID (strong) | BASE (eventual) | | Query language | Standard SQL | Database-specific |

When to Choose

SQL — Complex relational data, transactions (finance), reporting, data consistency critical

NoSQL — Large data volumes, fast reads/writes, flexible schemas, horizontal scaling

Polyglot Persistence

Use the best database for each workload:

User profiles    → PostgreSQL (relational)
Sessions         → Redis (fast key-value)
Product catalog  → MongoDB (flexible schema)
Search           → Elasticsearch (full-text)
Analytics        → ClickHouse (columnar)

Conclusion

The right answer to "SQL or NoSQL?" is "which do you need?" Use SQL for relational data and consistency. Use NoSQL for flexibility and scaling.

Learn about database design and data strategies in the Software Architecture 3.0 book.

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