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    <title>DEV Community: KK Rajpurohit</title>
    <description>The latest articles on DEV Community by KK Rajpurohit (@kamal_rajpurohit_db347a85).</description>
    <link>https://dev.to/kamal_rajpurohit_db347a85</link>
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      <title>DEV Community: KK Rajpurohit</title>
      <link>https://dev.to/kamal_rajpurohit_db347a85</link>
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      <title>SQL VS NoSQL</title>
      <dc:creator>KK Rajpurohit</dc:creator>
      <pubDate>Fri, 03 Jan 2025 15:42:44 +0000</pubDate>
      <link>https://dev.to/kamal_rajpurohit_db347a85/sql-vs-nosql-46ep</link>
      <guid>https://dev.to/kamal_rajpurohit_db347a85/sql-vs-nosql-46ep</guid>
      <description>&lt;p&gt;Here's a detailed explanation of when and why to use SQL and NoSQL, along with examples of their usage in companies like Flipkart, Uber, and Netflix: &lt;/p&gt;

&lt;h2&gt;
  
  
  When to Use SQL:
&lt;/h2&gt;

&lt;p&gt;Structured Data:&lt;br&gt;
Use SQL when your data has a well-defined schema, and relationships between entities are important.&lt;/p&gt;

&lt;h3&gt;
  
  
  Transactional Consistency:
&lt;/h3&gt;

&lt;p&gt;SQL databases provide ACID (Atomicity, Consistency, Isolation, Durability) properties, which are essential for financial transactions or critical operations.&lt;/p&gt;

&lt;h3&gt;
  
  
  Relational Data:
&lt;/h3&gt;

&lt;p&gt;Ideal for applications requiring complex joins or relational queries.&lt;/p&gt;

&lt;h3&gt;
  
  
  Long-Term Data Integrity:
&lt;/h3&gt;

&lt;p&gt;SQL databases are suitable for systems where schema evolution is minimal, and strong data integrity is a priority.&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;Examples:&lt;/strong&gt;&lt;br&gt;
&lt;strong&gt;Flipkart:&lt;/strong&gt;&lt;br&gt;
SQL Use: Order processing, payments, inventory management.&lt;br&gt;
SQL databases (e.g., MySQL or PostgreSQL) ensure consistent order processing and inventory updates across the system.&lt;br&gt;
&lt;strong&gt;Uber:&lt;/strong&gt;&lt;br&gt;
SQL Use: User accounts, ride bookings, payment processing.&lt;br&gt;
Uber uses SQL databases like PostgreSQL for maintaining transactional consistency during ride booking and fare calculations.&lt;br&gt;
&lt;strong&gt;Netflix:&lt;/strong&gt;&lt;br&gt;
SQL Use: User subscriptions, billing, and metadata.&lt;br&gt;
Netflix uses SQL for financial operations that require strict consistency.&lt;/p&gt;

&lt;h2&gt;
  
  
  When to Use NoSQL:
&lt;/h2&gt;

&lt;h3&gt;
  
  
  Scalability:
&lt;/h3&gt;

&lt;p&gt;NoSQL databases are horizontally scalable, making them suitable for applications with rapidly growing datasets.&lt;br&gt;
Unstructured/Semi-Structured Data:&lt;br&gt;
Ideal for storing unstructured or semi-structured data like JSON, documents, or logs.&lt;/p&gt;

&lt;h3&gt;
  
  
  Real-Time Performance:
&lt;/h3&gt;

&lt;p&gt;Low latency and high throughput for real-time applications.&lt;br&gt;
Flexible Schema:&lt;br&gt;
Schema-less nature allows easy adaptation to changes in data structure.&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;Examples:&lt;/strong&gt;&lt;br&gt;
&lt;strong&gt;Flipkart:&lt;/strong&gt;&lt;br&gt;
NoSQL Use: Product catalog, search, and recommendations.&lt;br&gt;
Flipkart uses NoSQL databases like MongoDB or Cassandra to handle the massive scale of product data and enable fast search and filtering.&lt;br&gt;
&lt;strong&gt;Uber:&lt;/strong&gt;&lt;br&gt;
NoSQL Use: Driver tracking, real-time location updates.&lt;br&gt;
Uber uses Cassandra to store and query time-series data for tracking driver and rider locations in real time.&lt;br&gt;
&lt;strong&gt;Netflix:&lt;/strong&gt;&lt;br&gt;
NoSQL Use: Movie catalog, streaming logs, recommendations.&lt;br&gt;
Netflix uses Cassandra to handle the large-scale, globally distributed movie catalog and stream metadata.&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;Conclusion&lt;/strong&gt;&lt;br&gt;
Use SQL when:&lt;br&gt;
&lt;strong&gt;_Data consistency and relational integrity are critical.&lt;br&gt;
The workload is transactional and structured.&lt;/strong&gt;&lt;br&gt;
Use NoSQL when:&lt;br&gt;
&lt;strong&gt;&lt;em&gt;Scalability, high throughput, and flexible schemas are essential.&lt;br&gt;
The workload involves unstructured or semi-structured data, or when handling real-time data&lt;/em&gt;.&lt;/strong&gt;&lt;/p&gt;

</description>
      <category>sql</category>
      <category>nosql</category>
      <category>backend</category>
      <category>database</category>
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