> For the complete documentation index, see [llms.txt](https://www.pranaypourkar.co.in/the-programmers-guide/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://www.pranaypourkar.co.in/the-programmers-guide/database/sql-vs-nosql.md).

# SQL vs NoSQL

<table data-full-width="true"><thead><tr><th width="158.97265625">Feature</th><th width="296.16796875">SQL (Relational Databases)</th><th>NoSQL (Non-Relational Databases)</th></tr></thead><tbody><tr><td><strong>Data Model</strong></td><td>Structured, tabular format with rows and columns.</td><td>Flexible, schema-less data models (Document, Key-Value, Columnar, Graph).</td></tr><tr><td><strong>Schema</strong></td><td>Predefined schema with strict relationships.</td><td>Dynamic schema, allows unstructured or semi-structured data.</td></tr><tr><td><strong>Scalability</strong></td><td><strong>Vertical scaling</strong> (adding more CPU, RAM, storage to a single server).</td><td><strong>Horizontal scaling</strong> (distributing data across multiple servers).</td></tr><tr><td><strong>Query Language</strong></td><td>Uses <strong>SQL</strong> (Structured Query Language) for queries.</td><td>Uses various query languages (e.g., JSON-like queries for MongoDB, CQL for Cassandra).</td></tr><tr><td><strong>Transactions</strong></td><td>Supports <strong>ACID</strong> (Atomicity, Consistency, Isolation, Durability) for strong consistency.</td><td>Supports <strong>BASE</strong> (Basically Available, Soft state, Eventually consistent) for scalability and performance.</td></tr><tr><td><strong>Use Cases</strong></td><td>Best for structured data, complex queries, and transactional systems (e.g., banking, ERP, CRM).</td><td>Best for handling large-scale, unstructured, and semi-structured data (e.g., big data, IoT, real-time analytics).</td></tr><tr><td><strong>Examples</strong></td><td>MySQL, PostgreSQL, Oracle, SQL Server.</td><td>MongoDB, Cassandra, Redis, Neo4j, DynamoDB.</td></tr><tr><td><strong>Performance</strong></td><td>Optimized for complex queries with JOINs and aggregations.</td><td>Optimized for high-speed reads/writes and distributed storage.</td></tr><tr><td><strong>Flexibility</strong></td><td>Rigid structure; changes require altering schema and migrations.</td><td>Highly flexible; allows dynamic changes without schema migrations.</td></tr></tbody></table>


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