This ranking is based on the DB engines list, which analyses 200 different databases on the market, listing top 10.
Oracle, MySQL, and Microsoft SQL Server have been occupying the top three of the rankings with absolute advantage, carving out the largest number of users in the market with unique advantages.
Oracle is the first choice for important business projects and is also the oldest major database product in the market, Oracle has 4 different versions available: Enterprise, Standard, Standard Edition one and express compared to Microsoft's same-type products, Oracle has more advantages in operating system flexibility when it comes to supporting operating systems, Oracle has the broadest range of flexibility features: Virtual Private Database, Data Guard, Automatic Storage management, and Undo Management.
The enterprise can start with a community open source version, and then upgrade to a commercial version that runs on Linux, Windows, OS X, FreeBSD, and Solaris to provide an intuitive graphical interface for user design databases given its open source community, MySQL has a lot of information and tutorials that allow you to start and handle problems with support for partitioning, replication, Xpath, Stored procedures, triggers, views.
The most used commercial databases are limited to Windows, but this is also an advantage if the organization is heavily controlled by Microsoft products other emerging databases
Although the top 3 databases have consistently dominated the top 3 of the rankings, the growth of emerging databases has been very stable in the trend chart depicted by DB engines, such as MongoDB, Cassandra, HBase, and so on.
4. PostgreSQL
first release : 1989
Licensing mechanism : Open source
whether SQL: Yes
Unique extensible Object Relational database can be run in Linux, Windows, OS X, and other support tablespaces, Stored procedures, joins, views, triggers
5. MongoDB
first release : 2009
Licensing mechanism : Open source
whether SQL: no
The most popular NoSQL database, but retains some of the SQL attributes, such as high performance on query and index large datasets, which is good for dynamic queries and index definitions to support Linux, OS X, and Windows, but the size of the database is limited to 2.5GB on 32-bit systems
6. DB2
First release : 1983
Licensing mechanism : proprietary
whether SQL: both
IBM-issued Oracle 11G competitive products run on Linux, UNIX, Windows, and large hosts based on IBM host Environment design supports both SQL and NoSQL models
7. Microsoft Access
First release : 1992
Licensing mechanism : proprietary
whether SQL: Yes
Only one installation (database and tool integration) similar to Microsoft SQL Server, intelligent running is designed for traffic analysis on Windows, but its performance is not for medium to large project design support languages: C, C #, C + +, Java, VBA, and visual Basic.NET
8. SQLite
First release : 2000
Licensing mechanism : Open source
whether SQL: Yes
Standalone server-less database engine with no external dependencies, used as an embedded database on iphones, Firefox browsers and Skype, is widely used in devices like the iphone, It can also be deployed in desktop software such as Skype and Firefox. No configuration and management of the entire database is saved on a single disk file, growing to the widest range of languages supported by 7TB in Top 10
9 . Cassandra
First release : 2008
Licensing mechanism : Open source
whether SQL: no
The highly available NoSQL has a user-friendly interface for storing large datasets that are widely used in banks, finance, etc., and are also used by Facebook and Twitter. Supports Windows, Linux, OS X, and supports multiple languages. Map/reduce is also supported when used in conjunction with Hadoop
Sybase ASE
First release : 1987
Licensing mechanism : proprietary
whether SQL: Yes
SAP-produced enterprise-class products run on Linux, Unix and Windows, but do not support OS X support for C, C + +, Cobol, Java, Perl, PHP, and Python programming languages
Beyond Top 10 There are many well-known databases, such as COUCHDB (21), neo4j (22), Riak (30), and so on. At the same time, we also believe that with the birth of a variety of new databases, competition will become more intense.