NoSQL comprises a vast array of different database technologies developed in response to the increasing – very fast – volume of data stored on users, objects and products, as well as the frequency of data access and implementation and processing needs. And. Relational databases, on the other hand, were not designed to meet the challenges of scale and agility that modern applications face, as well as to take advantage of the cheap storage and high processing power of today’s world.
Communication databases require that you must be defined before you can add data. For example, you might want to save information such as the name, phone number, province, city and address of your customers. In a communication database, you must first know what data you want to store.
This idea (in communication databases) fits very poorly with the “agile development” approach, because every time you complete a new feature, your database schema often needs to be changed. For example, if you decide to expand the data circle a little bit and for example save the name, address, etc. of your clients, save your favorites, you need to add a column to the database and then migrate the entire database to You’re a new chef.
If the database is a large database, the process will be very slow, imposing significant downtime. Also, if you are frequently changing the data stored by your applications, this time of disruption will also happen frequently. Also, using a communication database, there is no way to effectively track data that is completely unstructured or unknown in advance.
NoSQL databases have been created to allow data entry without the need for a predefined schema. In fact, these types of databases facilitate large-scale, moment-by-moment changes at the application level without worrying about disruption to service; this means faster development, more secure code integration and need To spend less time running the database.
Advantages of NoSQL
Compared to communication databases, NoSQL databases are more scalable and provide higher performance as well as their data model addresses the various issues left by communication models, Things like:
- Large volume of structured, semi-structured and unstructured data
- Common code entry, fast processing requests
- Object-oriented programming is flexible and easy to use
- Effective and cross-scale architecture rather than expensive and inflexible architecture
|————||SQL Database||NoSQL database|
|types of||A type with minimal changes||Very different types including key-value repositories, document-based databases, graph databases and Wide-column repositories|
|Sample||MySQL, Postgres, Oracle Database||MongoDB , Cassandra, HBase, Neo4j|
|Data storage model||Individual records (for example, “employees”) are stored in rows, and each column stores a specific piece of data about that record (for example, “direct manager”, “hiring day”). Separate data is stored in separate tables and joined together when complex queries are executed. For example, “Office name” is stored in one table, and “Employee name” in another table, and when a user searches for an employee’s address, the database engine uses the “Employee” and “Office” tables to get all Puts together the information you need.||Varies by database type. For example, key-value repositories operate similar to SQL databases, but only have two columns (key and value), with more complex information sometimes stored within the value column. Document-based databases abolish table and row modeling and encode all related data in a single “document” in JSON, XML, or other formats that accommodate hierarchical values. Give, save.|
|Scalability||Vertical – meaning that a server only needs to be greatly strengthened in order to overcome increased demand. SQL databases may be distributed across multiple servers, but generally there is a significant need for additional engineering.||Horizontal – which means that to increase capacity, a database administrator can easily add servers or items such as cloud. The database automatically distributes data to the server if necessary.|
|Modification (manipulation) of data||Specific language using select, login and update statements; for example
SELECT fields FROM table WHERE…
|Through the object-oriented programming interface|