Difference between SQL vs NO SQL vs New SQL

What is SQL?

SQL, also known as Structured Query Language, is a flexible programming language specifically designed for the management and manipulation of relational databases. It acts as a standardized communication tool between databases and applications. SQL empowers users to define, access, and modify data within a database system.

With a rich set of commands, SQL enables tasks like creating and modifying database structures (DDL), manipulating data (DML), and managing access and permissions (DCL). It excels in executing complex operations such as sorting, joining, aggregating, and grouping data. It also ensures an efficient data retrieval.

SQL finds extensive applications across various fields, serving as an essential tool for database administrators, developers, and data analysts. It is widely supported by popular database management systems like MySQL, Oracle, SQL Server, and PostgreSQL.

Advanced SQL allows individuals to proficiently handle and interact with databases, which helps in enabling critical tasks like data retrieval, manipulation, and database administration. Its user-friendly nature, adaptability, and widespread adoption have solidified SQL's position as an indispensable language in data management and analysis.

What is NO SQL?

NoSQL, also known as "Not Only SQL," represents a category of databases that offers an alternative approach to data management compared to traditional SQL databases. It provides a flexible and scalable solution for storing and handling diverse data types, such as unstructured and semi-structured data which is found in social media posts, sensor data, and real-time streams.

Unlike SQL databases, NoSQL databases do not adhere to a rigid schema and instead employ various data models, including key-value stores, document databases, column-family stores, and graph databases. SQL's versatility enables dynamic data modeling to cater to the specific requirements of various applications which make it adaptable and customizable.

NoSQL databases prioritize scalability, high performance, and fault tolerance. All these features make the databases well-suited for those situations which invlove large data volumes, rapid data processing, and distributed computing. They excel at handling the complexities of modern data environments.

Organizations adopting NoSQL databases can leverage their capabilities to overcome challenges posted by big data, real-time processing, and dynamic data structures. However, it is crucial to carefully assess the requirements before selecting a NoSQL database solution that best aligns with the specific application needs.

What is New SQL?

NewSQL represents a category of database systems that blend the advantages of traditional SQL (relational) databases with the scalability and performance benefits offered by NoSQL databases. NewSQL aims to address the limitations of SQL databases, particularly in distributed environments which require high scalability.

These databases retain the essential ACID (Atomicity, Consistency, Isolation, Durability) properties for data integrity while implementing innovative techniques for handling large datasets and achieving impressive scalability. Through methods such as sharding, replication, and distributed architectures, NewSQL databases efficiently manage extensive workloads and meet the demands of modern applications.

Unlike NoSQL databases, NewSQL databases maintain compatibility with SQL, providing users with familiar SQL-based interfaces, complex queries, and transaction support. This makes them a compelling choice for organizations seeking both the scalability of NoSQL and the reliability of SQL.

NewSQL databases uses the flexibility and scalability of NoSQL databases while preserving the integrity and consistency of SQL databases.

Difference between SQL vs NO SQL vs New SQL

Below table illustrates the distinctions among SQL, NoSQL, and NewSQL databases: