Commonly used database software includes MySQL, Oracle, SQL Server, PostgreSQL, MongoDB, Redis, Cassandra, Hadoop, Spark and Amazon DynamoDB. Detailed introduction: 1. MySQL, with high performance, scalability and ease of use; 2. Oracle, with powerful functions, high portability and good compatibility; 3. SQL Server, etc.
Commonly used database software includes:
1. MySQL: MySQL is a popular relational database management system that is widely used. In the fields of Web applications, enterprise applications and embedded applications. MySQL has the characteristics of high performance, scalability and ease of use.
2. Oracle: Oracle is a high-performance, secure, and scalable relational database management system that is widely used in enterprise-level applications and large websites. Oracle has powerful functions, high portability and good compatibility.
3. SQL Server: SQL Server is a relational database management system that is widely used in enterprise-level applications and websites on Windows platforms. SQL Server has high performance, scalability and good compatibility.
4. PostgreSQL: PostgreSQL is a powerful relational database management system that is widely used in enterprise-level applications and open source software projects. PostgreSQL has high performance, scalability and good compatibility.
5. MongoDB: MongoDB is a popular document database management system that is widely used in web applications, mobile applications, big data analysis and other fields. MongoDB features high performance, scalability, and ease of use.
6. Redis: Redis is an in-memory database that is widely used in web applications, enterprise applications, game development and other fields. Redis has the characteristics of high performance, scalability and ease of use.
7. Cassandra: Cassandra is a distributed column database, which is widely used in big data applications, cloud computing and Internet applications. Cassandra has high performance, scalability and good compatibility.
8. Hadoop: Hadoop is a distributed computing framework that is widely used in fields such as big data processing and cloud computing. Hadoop has high performance, scalability and good compatibility.
9. Spark: Spark is a fast, versatile, and scalable big data processing framework. It is widely used in fields such as big data analysis, machine learning, and graphics processing. Spark features high performance, scalability, and ease of use.
10、Amazon DynamoDB: DynamoDB is a fully managed NoSQL database service that is widely used in cloud computing and Internet applications. DynamoDB is high-performance, scalable, and easy to use.
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