Because of their highly structured nature, ACID-compliant databases are best suited for those who need consistency, predictability, and reliability. In this article, he described a new storage and working system with large databases. Instead of storing records in a kind of linked list of free-form records like in CODASYL, Codd`s idea was to organize the data as a series of “tables,” using each table for a different type of entity. Each table contains a fixed number of columns containing the attributes of the entity. One or more columns in each table have been defined as the primary key to uniquely identify the rows in the table. Cross-references between tables always used these primary keys instead of disk addresses, and queried the associated tables based on these key relationships, using a series of operations based on the mathematical system of relational computation (from which the model gets its name). Dividing the data into a set of standardized tables (or relationships) was designed to ensure that each “fact” was stored only once, simplifying update operations. Virtual tables, called views, can represent data to different users in different ways, but the views could not be updated directly. It is very important to know the BASE behavior of your selected aggregate storage and only work within these constraints to obtain consistent data.
The simplicity of ACID transactions will always be a disadvantage for BASE compared to others. A comprehensive ACID model database is perfect for use cases where data reliability and consistency are top priorities, such as banking, PayPal. Early multi-user DBMSs generally only allowed the application to be on the same computer with access via terminals or terminal emulation software. The client-server architecture was a development in which the application was on a client desktop and the database on a server so that processing could be distributed. This has evolved into a multi-tier architecture that includes application servers and web servers with the end user interface through a web browser, with the database only directly connected to the adjacent layer.  Physically, database servers are dedicated computers that contain the actual databases and run only the DBMS and associated software. Database servers are typically multiprocessor computers with generous memory and RAID disk arrays that are used for stable storage. Hardware database accelerators connected to one or more servers through a high-speed channel are also used in high-transaction processing environments. DBMS are at the heart of most database applications. The DBMS can be built around a custom multitasking kernel with built-in network support, but modern DBMS typically rely on a standard operating system to provide these features.
[Citation needed] IT professionals can classify database management systems based on the database models they support. Relational databases became dominant in the 1980s. This model data as rows and columns in a series of tables, and the vast majority use SQL to write and query data. In the 2000s, non-relational databases became popular, collectively called NoSQL because they use different query languages. Edit and access log records, who accessed which attributes, what was changed, and when it was changed. Logging services enable subsequent verification of the forensic database by recording access events and changes. Sometimes, application-level code is used to save changes instead of leaving them in the database. Monitoring can be set up to try to detect security breaches. Object databases were developed in the 1980s to overcome the disadvantages of object-relational impedance mismatch, which led to the invention of the term “post-relational” and the development of hybrid object-relational databases.
Databases and DBMSs can be based on the database models they support (such as relational or XML), the types of computers on which they run (from a server cluster to a mobile phone), the query language(s) used to access the database (for example. SQL or XQuery) and their internal technology that affects performance, scalability, and resiliency. be categorized. and security. It is not possible to give a direct answer to the question of which database model is best. Therefore, a decision must be made taking into account all aspects of the project.