Mainstream databases: Taking stock of mainstream database systems and their advantages and disadvantages
In the information age, databases play a vital role. They carry massive amounts of data and provide data storage and management services for various application systems. various types of database systems have emerg to meet the n of different application scenarios. This article will take stock of mainstream relational databases and non-relational databases, analyze their advantages and disadvantages, and help you choose a suitable database system.
Mainstream relational databases
Relational database is currently the most widely usdatabase type. Relational databases have the advantages of being structur, standardiz, easy to understand and maintain, and are suitable for scenarios where complex structur data nes to be process.
MySQL is the most popular open source relational database,
known for its free, open source, easy-to-use, and excellent performance. MySQL is widely used in web development, e-commerce, finance, education and other fields.
Free and open source: No licensing fees required, reducing usage costs.
Ease of use: The syntax is simple and easy to understand, and the learning difficulty is low.
Excellent performance: Supports multiple storage engines to meet the performance requirements of different application scenarios.
Active community: It has a large How To Align SEO Content And PR For Greater Amount Of Conversion user community and provides abundant technical support and resources.
shortcoming:
Does not support complex analysis functions:
MySQL may not be ideal for scenarios that require complex data analysis.
Limited scalability:
As the amount of data grows, MySQL’s performance may become bottlenecked.
1.2 PostgreSQL
Powerful functions: supports multiple Top Considerations for Choosing Financial data types, stored procedures, triggers and other advanced functions.
High data integrity: supports multiple data integrity constraints to ensure data accuracy and consistency.
Good security: Provides multiple security mechanisms to protect the database from attacks.
shortcoming:
Oracle is a representative of commercial relational databases and is famous for its high performance, high reliability, and complete security mechanism.
High performance: Able to handle large-scale concurrent transactions and meet the performance requirements of key business systems.
High reliability: Provides multiple redundancy mechanisms to ensure database availability.
Complete security mechanism: Provides multi-layer security protection to protect the database from attacks.
shortcoming:
Expensive licensing fees: Oracle’s commercial licensing fees are high and can be a significant burden for small and medium-sized businesses.
Complex management and maintenance: Oracle management and maintenance requires professional technical personnel.
2. Mainstream non-relational databases
Non-relational database (NoSQL) refers to a database that does not follow the traditional relational model. It usually stores data in the form of key-value pairs, documents, graphs, etc. It has the characteristics of flexibility, scalability, high performance, etc., and is suitable for processing unstructured or Semi-structured data, and large-scale data scenarios.
2.1 MongoDB
MongoDB is one of the most popular NoSQL databases,
known for its document storage, flexible querying, high performance, and more. MongoDB is widely used in web development, mobile applications, Internet of Things and other fields.
advantage:
Document storage: Store data in JSON format to facilitate storage of unstructured data.
Flexible query: supports multiple query methods, including conditional query, range query, aggregation query, etc.
High performance: Using asynchronous replication and sharding mechanisms, it can meet high-concurrency and high-load application scenarios.
shortcoming:
Complex data model: Cassandra’s data model is column-based and requires
