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Relational Databases (RDBMS) vs. NoSQL in a nutshell
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📊 RDBMS:
- Tabular Structure, Strict Schema
- ACID Properties for Data Integrity
- SQL Query Language
- Vertical Scaling
- Ideal for Structured Data and Transactions
🚀 NoSQL:
- Varied Structures, BASE Properties
- NoSQL Query Languages
- Horizontal Scaling
- Suited for Unstructured or Semi-structured Data, Big Data
- Examples: MongoDB, Cassandra, Redis
Considerations:
- Data Structure: RDBMS for well-defined relationships, NoSQL for evolving data.
- Scalability: RDBMS vertically, NoSQL horizontally.
- Consistency: RDBMS strong, NoSQL prioritizes availability.
- Development: NoSQL for flexibility and faster iteration.
- Tabular Structure, Strict Schema
- ACID Properties for Data Integrity
- SQL Query Language
- Vertical Scaling
- Ideal for Structured Data and Transactions
🚀 NoSQL:
- Varied Structures, BASE Properties
- NoSQL Query Languages
- Horizontal Scaling
- Suited for Unstructured or Semi-structured Data, Big Data
- Examples: MongoDB, Cassandra, Redis
Considerations:
- Data Structure: RDBMS for well-defined relationships, NoSQL for evolving data.
- Scalability: RDBMS vertically, NoSQL horizontally.
- Consistency: RDBMS strong, NoSQL prioritizes availability.
- Development: NoSQL for flexibility and faster iteration.
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