3N

3N

The 3N logo

3N is a term used in the field of computer science to refer to a concept known as the "Three N's." It stands for NoSQL, NewSQL, and Next Generation Databases. These three categories of databases have emerged as alternatives to traditional relational databases, offering different approaches to data storage and retrieval.

NoSQL

NoSQL is a category of databases that diverge from the traditional relational database model. NoSQL databases are designed to handle large volumes of unstructured or semi-structured data, making them suitable for use cases such as big data analytics, real-time applications, and content management systems. Unlike relational databases, NoSQL databases do not rely on a fixed schema and provide flexible data models, allowing for easy scalability and high availability.

Some popular examples of NoSQL databases include MongoDB, Cassandra, and Redis. These databases utilize various data models, such as key-value, document, columnar, and graph, to cater to different application requirements.

NewSQL

NewSQL databases aim to combine the benefits of traditional relational databases with the scalability and performance advantages of NoSQL databases. NewSQL databases provide ACID (Atomicity, Consistency, Isolation, Durability) compliance, which ensures data integrity, while also offering horizontal scalability and high availability.

NewSQL databases achieve this by implementing innovative techniques, such as distributed architectures, sharding, and in-memory processing. These technologies enable NewSQL databases to handle large workloads and provide real-time analytics capabilities.

Examples of NewSQL databases include CockroachDB, VoltDB, and TiDB. These databases are often used in scenarios where strong consistency and high performance are required, such as financial systems and e-commerce platforms.

Next Generation Databases

Next Generation Databases refer to databases that go beyond the capabilities of both traditional relational databases and NoSQL/NewSQL databases. These databases leverage cutting-edge technologies, such as machine learning, artificial intelligence, and blockchain, to provide advanced features and functionalities.

Next Generation Databases are designed to handle complex data types, support real-time analytics, ensure data privacy and security, and enable decentralized and distributed data storage. They are often used in emerging fields like Internet of Things (IoT), healthcare, and finance.

Examples of Next Generation Databases include Neo4j, a graph database that enables efficient traversal of complex relationships, and BigchainDB, a blockchain database that provides immutability and transparency for decentralized applications.

Conclusion

The concept of 3N encompasses NoSQL, NewSQL, and Next Generation Databases, which offer alternative approaches to data storage and retrieval. Each category has its own strengths and use cases, catering to different application requirements. As technology continues to evolve, the landscape of databases will continue to expand, providing more options for developers and organizations to choose from.