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This article shows you the difference between SQL and NoSQL. The content is concise and easy to understand. It will definitely brighten your eyes. I hope you can get something through the detailed introduction of this article.

Main differences:

1. Types

SQL database is mainly called relational database (RDBMS), while NoSQL database is mainly called non-relational database or distributed database.

two。 Language

SQL database defines and operates a data-based structured query language (SQL). From the side, the language is very powerful. SQL is one of the most general and widely used options, making it a safe choice, especially for complex queries. But on the other hand, it may be restrictive. SQL requires that you use predefined schemas to determine the structure of your data before using it. In addition, all your data must follow the same structure. This may require a great deal of preparation, which means that structural changes are both difficult and disruptive to the entire system.

NoSQL database has a dynamic schema of unstructured data. Data is stored in a variety of ways, which means it can be document-oriented, column-oriented, graph-based, or organized for KeyValue storage. This flexibility means that a document can be created without first defining the structure. Each document can also have its own unique structure. The syntax varies from database to database, and you can add fields at any time.

3. Scalability

In almost all cases, the SQL database is vertically scalable. This means that you can increase the load on a single server by adding features such as RAM,CPU or SSD. On the other hand, NoSQL databases can be scaled out. This means that you can handle more traffic by sharding or adding more servers to the NoSQL database. It is similar to adding more floors to the same building, rather than adding more buildings nearby. So NoSQL can eventually become larger and more powerful, making these databases the first choice for large or ever-changing datasets.

4. structure

SQL databases are table-based, while NoSQL databases are key-value pairs, document-based, graphical databases, or wide-column storage. This makes relational SQL databases a better choice for applications that require multiple rows of transactions (such as accounting systems) or legacy systems built for relational structures.

5. Attributes to be followed

SQL databases follow ACID attributes (atomicity, consistency, isolation, and persistence), while NoSQL databases follow Brewers CAP theorem (consistency, availability, and partition tolerance).

6. Support

All SQL databases from its suppliers are well supported. In addition, there are many independent consultants that can help you with large-scale deployments using SQL databases, but for some NoSQL databases, you still need to rely on community support, and only a limited number of external experts can be used to set up and deploy large-scale NoSQL deployments.

Some examples of SQL databases include PostgreSQL,MySQL,Oracle and Microsoft SQL Server. Examples of NoSQL databases include Redis,RavenDB Cassandra,MongoDB,BigTable,HBase,Neo4j and CouchDB.

The main differences of SQL vs NoSQL:

SQLNOSQL relational database management system (RDBMS) is a non-relational or distributed database system. These databases have fixed or static or predefined schemas and they have dynamic schemas that are not suitable for hierarchical data storage. These databases are best suited for hierarchical data storage. These databases are most suitable for complex queries. These databases are not very suitable for complex queries. Verticlly Extensible Horizontally Extensible these are the differences between SQL and NoSQL. Have you learned any knowledge or skills? If you want to learn more skills or enrich your knowledge reserve, you are welcome to follow the industry information channel.

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