transactional database vs relational database

amount of data generated by the Web site is enormous, and for relational databases, the query in a table containing massive amounts of data is very inefficient. High scalability and availability In a web-based architecture, databases are the hardest to scale horizontally, and when an application is growing in number of users and accesses, the database has no way to extend performance and load capabilities

Relational Database V. S. Non-relational database, relational database v. sThe most important feature of a relational database is transactio

bottleneck High-efficiency reading and writing of massive data The amount of data generated per day is huge, and for relational databases, it is very inefficient to query in a table containing huge amounts of data. High scalability and availability In the Web-based architecture, the database is the most difficult to scale out, when the number of users and access to an ap

-efficiency reading and writing of massive data The amount of data generated per day is huge, and for relational databases, it is very inefficient to query in a table containing huge amounts of data. High scalability and availability In the Web-based architecture, the database is the most difficult to scale out, when the number of users and access to an application system is increas

-efficiency reading and writing of massive data The amount of data generated per day is huge, and for relational databases, it is very inefficient to query in a table containing huge amounts of data. High scalability and availability In the Web-based architecture, the database is the most difficult to scale out, when the number of users and access to an application system is increasing, t

, hard disk I/O is a big bottleneck High-efficiency reading and writing of massive data The amount of data generated per day is huge, and for relational databases, it is very inefficient to query in a table containing huge amounts of data. High scalability and availability In the Web-based architecture, the database is the most difficult to scale out, when the number of users and

-efficiency reading and writing of massive data The amount of data generated per day is huge, and for relational databases, it is very inefficient to query in a table containing huge amounts of data. High scalability and availability In the Web-based architecture, the database is the most difficult to scale out, when the number of users and access to an application system is increasing, t

Website user concurrency is very high, often up to tens of thousands of read and write requests per second, for the traditional relational database, hard disk I/O is a big bottleneck High-efficiency reading and writing of massive data The amount of data generated per day is huge, and for relational databases, it is very inefficient to query in

bottleneck High-efficiency reading and writing of massive data The amount of data generated per day is huge, and for relational databases, it is very inefficient to query in a table containing huge amounts of data. High scalability and availability In the Web-based architecture, the database is the most difficult to scale out, when the number of users and access to an applic

requirements Website user concurrency is very high, often up to tens of thousands of read and write requests per second, for the traditional relational database, hard disk I/O is a big bottleneck High-efficiency reading and writing of massive data The amount of data generated per day is huge, and for relational databases, it is very inef

-efficiency reading and writing of massive data The amount of data generated per day is huge, and for relational databases, it is very inefficient to query in a table containing huge amounts of data. High scalability and availability In the Web-based architecture, the database is the most difficult to scale out, when the number of users and access to an application system is increasing, t

-efficiency reading and writing of massive data The amount of data generated per day is huge, and for relational databases, it is very inefficient to query in a table containing huge amounts of data. High scalability and availability In the Web-based architecture, the database is the most difficult to scale out, when the number of users and access to an application system is increasing, t

relational database, hard disk I/O is a big bottleneck High-efficiency reading and writing of massive data The amount of data generated per day is huge, and for relational databases, it is very inefficient to query in a table containing huge amounts of data. High scalability and availability In the Web-based architecture, the

bottleneck High-efficiency reading and writing of massive data The amount of data generated per day is huge, and for relational databases, it is very inefficient to query in a table containing huge amounts of data. High scalability and availability In the Web-based architecture, the database is the most difficult to scale out, when the number of users and access to an ap

relational databases, the query in a table containing massive amounts of data is very inefficient. High scalability and availability In a web-based architecture, databases are the hardest to scale horizontally, and when an application is growing in number of users and accesses, the database has no way to extend performance and load capabilities simply by adding more hardware and service nodes than Web ser

command line ha ... ）：8: After the environment is installed, you can manipulate the MongoDB database:Show DBS order to display a list of all data:The Execute DB command can display the current database object or collection:Run the use command to connect to a specified database:The syntax format for MongoDB database creation is as follows:User database name:The

Label: Database Paradigm when designing the relational database, we should design a reasonable relational database to conform to different specifications, and the different norm requirements are called different paradigms, and the higher paradigm

usability and extensibility are better, The disadvantage is the implementation of complex and potential performance issues . do not share : any CPU can only access its own main memory and disk . The benefits are also scalability and availability, The disadvantage is to achieve complex and complex equalization . Hybrid : The system as a whole is a shared nothing schema, but the nodes may be inside other architectures. This blends the benefits of multiple ar

Acid principles for relational database compliance (1) A Atomic nature: All operations in a transaction, either done or done, the success of the transaction is the success of all operations in the transaction, as long as one operation fails, the entire transaction fails and needs to be rolled back. (2) C Consistency: The database should always be in a consistent

Tags: acid-based features This feature enables relational databases to be used in almost all of the typical banking systems but in Web applications of non-relational databasesThe most important feature of a relational database is transactional consistency : traditional