Differences between NoSQL and NewSQL regarding data model, transaction management, consistency, scalability and typical use cases.**NoSQL** and **NewSQL** are two different approaches to database technology, each offering specific advantages and limitations. Here are the key differences: 1. Definition and background:- NoSQL: - **NoSQL** stands for "Not Only SQL" and encompasses a wide range of database technologies that are not based on the traditional relational model. NoSQL databases are designed to store and manage large amounts of unstructured data that are difficult to handle with traditional SQL databases. - Typical NoSQL databases are document databases (e.g. MongoDB), key-value stores (e.g. Redis), column-oriented databases (e.g. Cassandra) and graph databases (e.g. Neo4j). - NewSQL: - **NewSQL** is a term for modern relational databases that offer similar SQL and ACID properties as traditional relational databases, but with additional scalability and performance often found in NoSQL databases. - NewSQL databases aim to combine the benefits of SQL databases in terms of transaction integrity and consistency with the scaling advantages of modern technologies. Examples of NewSQL databases are Google Spanner, CockroachDB and NuoDB. 2. Data model:- NoSQL: - No uniform data model; depending on the type of NoSQL database, data can be stored in different formats (documents, key-value pairs, columns or graphs). - Flexible schema, often without a fixed structure, which allows rapid adaptation to new data requirements. - NewSQL: - Uses the traditional relational data model with tables, rows and columns. - Maintaining a fixed schema defined by SQL, ensuring data consistency and integrity. 3. Transaction management and consistency:- NoSQL: - Often designed for eventual consistency, meaning that data is not always immediately consistent, but will eventually become consistent when systems are synchronized. - Often provides higher availability and partition tolerance at the expense of immediate consistency. - NewSQL: - Provides strong consistency and ACID transactions (atomicity, consistency, isolation, durability), similar to traditional relational databases. - Designed to achieve high availability and scalability without sacrificing consistency. 4. Scalability:- NoSQL: - Designed for horizontal scaling, where additional nodes are added to the network to distribute the load. - Well suited for high data volume applications with large amounts of read and write operations. - NewSQL: - Tries to support both horizontal and vertical scaling, with horizontal scaling enabled by distributed database architectures. - Focuses on improving scalability while maintaining ACID properties. 5. Use cases:- NoSQL: - Ideal for applications with unstructured or semi-structured data, such as social networks, real-time analytics, and large web applications. - Often used when flexibility and rapid adaptation to changing requirements are required. - NewSQL: - Suitable for applications that require complex transactions and queries, such as financial systems, enterprise applications, and e-commerce platforms. - Especially useful for applications that require high performance and scalability with the guarantee of data integrity. FAQ 60: Updated on: 27 July 2024 16:18 |
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