It includes basic user-name and password protections to advanced SSH authentication. MySQL offers and supports many authentication methods to protect unauthorized access to the database. SQLite is ideal for a small set of data, its performance degrades with the increase in the data volume as it consumes a lot of memory. MySQL is highly scalable and can handle a large volume of data. In MySQL, you can create multiple users with different levels of permissions and roles. SQLite can cater only to one connection at a time. MySQL can handle multiple simultaneous connections. SQLite directly writes the data in a file and can move pretty easily. Also, it is time-consuming because of its size. Portability of data in MySQL is a tedious job as you first need to export it as a file and then move it to some other system. SQLite supports only BLOB, NULL, INTEGER, TEXT, REAL. MySQL supports almost all the data types like TINYINT, SMALLINT, MEDIUMINT, INT, BIGINT, FLOAT, DOUBLE, DOUBLE PRECISION, REAL, DECIMAL, NUMERIC, DATE, DATETIME, TIMESTAMP, YEAR, CHAR, VARCHAR, TINYBLOB, TINYTEXT, BLOB, TEXT, MEDIUMBLOB, MEDIUMTEXT, LONGBLOB, LONGTEXT, ENUM, SET etc. SQLite is a very lightweight library of around 250 kb in size. MySQL server requires around 600 Mb of space for its functioning. SQLite is not only open source but the code also available in the public domain for commercial and personal usage. MySQL is an open-source and managed by Oracle. SQLite is a serverless embedded database that runs as part of the application and can not connect with any other application over the network. MySQL requires a database server to interact with the client over the network. SQLite is entirely developed in C language. MySQL is developed in C and C++ languages. Comparison Table between MySQL and SQLiteīelow are the topmost comparison between MySQL vs SQLite: MySQL SQLite performance tends to degrade with the increase in the volume of data as it writes the data directly in a file that occupies a lot of memory. Where MySQL is highly scalable and capable of handling a large volume of data SQLite fails to perform at the same level. Scalability is indeed the most important factor any developer would check for in the database. Unfortunately, SQLite does not have any provision of User Management, so at a time one User can access the database. There is often a requirement where multiple developers need to work on the same database simultaneously, MySQL is specially designed to cater to this need and can handle concurrent Users. MySQL can be used as a service when hosted on a cloud whereas SQLite does not support this. With the advent of cloud services like Azure, Amazon Web Services and Google Cloud, many companies are looking for a solution or a product can be Utilized as a service as well for its client. Any person can get access to the database files. Unfortunately, SQLite lacks all these features, in fact, SQLite does not have any mechanism to authenticate the Users. MySQL offers built-in security features like SSH to authenticate its Users, also different roles can be assigned to a user to grant limited privileges. A database should have some sort of authentication to avoid easy access to the data by an unauthorized person. Most of the applications dealt with Personally Identifiable Information data that needs utmost security and limited access. Though both the database systems are the same access methods namely JDBC, ADO.NET and ODBC. MySQL has its own API whereas SQLite does not offer any. Application Programming InterfaceĪs you know to connect your application with the database you need some kind of connector or API which makes the connection setup very easy. Let’s have a look at the main key differences between MySQLvs SQLite. MySQL database server and SQLite have many things in common but there are some key differences that a programmer should know well in advance before making a choice of the database. Hadoop, Data Science, Statistics & others Head to Head Comparison between MySQL and SQLite (Infographics)īelow are the top 14 differences between MySQL vs SQLite
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