What are the advantages of NoSQL over traditional RDBMS?
Câu trả lời What are the advantages of NoSQL over traditional RDBMS?
NoSQL databases offer several advantages over traditional Relational Database Management Systems (RDBMS). Here are the key benefits:
1. Scalability
Horizontal Scaling: NoSQL databases are designed to scale out by adding more servers to distribute the load, which is more cost-effective and easier to manage compared to the vertical scaling (adding more power to a single server) typically required by RDBMS[1][4][16].
Elasticity: NoSQL databases can handle large volumes of data and high traffic loads by dynamically adding or removing nodes, ensuring consistent performance even under heavy loads[16][17].
2. Schema Flexibility
Dynamic Schemas: NoSQL databases do not require a predefined schema, allowing for the storage of unstructured, semi-structured, and structured data. This flexibility is particularly useful for applications where the data model is constantly evolving[1][2][12].
Ease of Development: The lack of a rigid schema allows developers to make changes to the data model without significant downtime or complex migrations, facilitating agile development practices[17].
3. Performance
High Throughput: NoSQL databases are optimized for high read and write throughput, making them suitable for real-time applications such as social media, gaming, and IoT[2][4][16].
Efficient Data Retrieval: NoSQL databases can retrieve data more efficiently by using key-value pairs, document stores, or other non-relational models, which can be faster than the complex joins required in RDBMS[3][16].
4. Handling Unstructured Data
Versatility: NoSQL databases can store and manage diverse data types, including JSON documents, graphs, key-value pairs, and wide-column stores, making them ideal for applications that deal with varied and unstructured data[1][2][12].
Big Data: They are particularly well-suited for big data applications, where the volume, velocity, and variety of data exceed the capabilities of traditional RDBMS[4][16].
5. Cost-Effectiveness
Lower Infrastructure Costs: NoSQL databases often use commodity hardware and open-source software, reducing the overall cost of ownership compared to the expensive, high-end servers required for scaling RDBMS[8][16].
Reduced Administrative Overhead: Many NoSQL databases offer features like automatic sharding and replication, which simplify database management and reduce the need for specialized DBA skills[16].
