This ranking is based on the DB Engines ranking, which analyzes 200 different databases on the market in terms of popularity. Here is a list of the Top 10.
The undisputed Top 3
Oracle, MySQL and Microsoft SQL Server have always occupied the top three in the rankings with absolute advantages, and have the largest number of users in the market with their unique advantages.
1. Oracle 11g
First released: 1980
Licensing mechanism: Proprietary
Is SQL: Yes
Oracle is the first choice for important commercial projects and the oldest mainstream database product on the market
Oracle has 4 Different editions are available: Enterprise, Standard, Standard Edition One and Express
Compared to Microsoft's similar products, Oracle has the advantage in operating system flexibility
When it comes to supported operating systems, Oracle has the widest flexibility Features: Virtual Private Database, Data Guard, Automatic Storage Management and Undo Management.
2. MySQL
First release: 1995
Licensing mechanism: Open source
Is SQL: Yes
Enterprises can start with the community open source version and then upgrade to the commercial version
Can run on Linux, Windows, OSX, FreeBSD, Solaris
Provides an intuitive graphical interface for users to design databases
Given its open source community, MySQL has a large amount of information and tutorials to let you get started and deal with problems
Supports Partitioning, replication, Xpath, Stored Procedures, Triggers, Views
3. Microsoft SQL Server
First released: 1989
Licensing mechanism: Proprietary
Whether SQL: It is
the most used commercial database
Limited to Windows, but if the organization is heavily controlled by Microsoft products, the same is true It is an advantage
Other emerging databases
Although the above three databases have always firmly dominated the top 3 of the rankings, on the trend chart drawn by DB Engines, the growth of emerging databases has been very stable, such as MongoDB, Cassandra, HBase, etc.
4. PostgreSQL
First release: 1989
Licensing mechanism: Open source
Is SQL: It is
a unique extensible object-relational database
can run on Linux, Windows, OSX, etc.
Supports Tablespaces, Stored Procedures, Joins, Views, Triggers
5. MongoDB
First released: 2009
Licensing mechanism: Open source
Whether SQL: No
The most popular NoSQL database, but retains some attributes of SQL , such as query and index
Exhibit high performance on large data sets
Very conducive to dynamic query and index definition
Supports Linux, OSX and Windows, but the database size is limited to 2.5GB on 32-bit systems
6. DB2
Initial release: 1983
Licensing mechanism: Proprietary
Whether SQL: Both
Oracle 11g competitive product released by IBM
Can run on Linux, UNIX, Windows and mainframes
Designed based on IBM host environment
Supports both SQL and NoSQL models
7. Microsoft Access
First released: 1992
Licensing mechanism: Proprietary
Is SQL: Yes
Only one installation required (database and tool in one)
Similar to Microsoft SQL Server , runs intelligently on Windows
The original intention is traffic analysis, but its performance is not designed for medium to large projects
Supported languages: C, C#, C++, Java, VBA and Visual Basic.NET
8. SQLite
Initial release: 2000
Licensing mechanism: Open source
Whether SQL: It is
an independent serverless mode database engine, without any external dependencies, used on iPhone, Firefox browser and Skype
as an embedded database , it is widely used in devices like iPhone and deployed in desktop software like Skype and Firefox
No configuration and management required
The entire database is saved on a disk file that can grow to 7TB
In The most widely supported languages in the Top 10
9. Cassandra
First released: 2008
Licensing mechanism: Open source
Whether SQL: No
Highly available NoSQL
has a user-friendly interface and is suitable for storing large data Set
is widely used in banking, finance, etc., and is also used by Facebook and Twitter.
Supports Windows, Linux, OSX, and multiple languages.
It also supports Map/Reduce when used with Hadoop
10. Sybase ASE
First released: 1987
Licensing mechanism: Proprietary
Whether SQL: It is an enterprise-level product produced by
SAP
Running on Linux, Unix and Windows, but does not support OSX
Supports programming languages such as C, C++, Cobol, Java, Perl, PHP and Python
There are many well-known databases besides the Top 10, such as CouchDB (21), Neo4j (22) , Riak (30) et al. At the same time, we also believe that with the birth of various new databases, competition will become increasingly fierce.

InnoDBBufferPool reduces disk I/O by caching data and indexing pages, improving database performance. Its working principle includes: 1. Data reading: Read data from BufferPool; 2. Data writing: After modifying the data, write to BufferPool and refresh it to disk regularly; 3. Cache management: Use the LRU algorithm to manage cache pages; 4. Reading mechanism: Load adjacent data pages in advance. By sizing the BufferPool and using multiple instances, database performance can be optimized.

Compared with other programming languages, MySQL is mainly used to store and manage data, while other languages such as Python, Java, and C are used for logical processing and application development. MySQL is known for its high performance, scalability and cross-platform support, suitable for data management needs, while other languages have advantages in their respective fields such as data analytics, enterprise applications, and system programming.

MySQL is worth learning because it is a powerful open source database management system suitable for data storage, management and analysis. 1) MySQL is a relational database that uses SQL to operate data and is suitable for structured data management. 2) The SQL language is the key to interacting with MySQL and supports CRUD operations. 3) The working principle of MySQL includes client/server architecture, storage engine and query optimizer. 4) Basic usage includes creating databases and tables, and advanced usage involves joining tables using JOIN. 5) Common errors include syntax errors and permission issues, and debugging skills include checking syntax and using EXPLAIN commands. 6) Performance optimization involves the use of indexes, optimization of SQL statements and regular maintenance of databases.

MySQL is suitable for beginners to learn database skills. 1. Install MySQL server and client tools. 2. Understand basic SQL queries, such as SELECT. 3. Master data operations: create tables, insert, update, and delete data. 4. Learn advanced skills: subquery and window functions. 5. Debugging and optimization: Check syntax, use indexes, avoid SELECT*, and use LIMIT.

MySQL efficiently manages structured data through table structure and SQL query, and implements inter-table relationships through foreign keys. 1. Define the data format and type when creating a table. 2. Use foreign keys to establish relationships between tables. 3. Improve performance through indexing and query optimization. 4. Regularly backup and monitor databases to ensure data security and performance optimization.

MySQL is an open source relational database management system that is widely used in Web development. Its key features include: 1. Supports multiple storage engines, such as InnoDB and MyISAM, suitable for different scenarios; 2. Provides master-slave replication functions to facilitate load balancing and data backup; 3. Improve query efficiency through query optimization and index use.

SQL is used to interact with MySQL database to realize data addition, deletion, modification, inspection and database design. 1) SQL performs data operations through SELECT, INSERT, UPDATE, DELETE statements; 2) Use CREATE, ALTER, DROP statements for database design and management; 3) Complex queries and data analysis are implemented through SQL to improve business decision-making efficiency.

The basic operations of MySQL include creating databases, tables, and using SQL to perform CRUD operations on data. 1. Create a database: CREATEDATABASEmy_first_db; 2. Create a table: CREATETABLEbooks(idINTAUTO_INCREMENTPRIMARYKEY, titleVARCHAR(100)NOTNULL, authorVARCHAR(100)NOTNULL, published_yearINT); 3. Insert data: INSERTINTObooks(title, author, published_year)VA


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