One popular use case for SQLite is as a development database. In addition, MySQL uses a more sophisticated query optimizer, which can help improve the performance of complex queries. This is because MySQL uses a separate server to run, which allows it to take advantage of multiple CPUs and memory resources. In terms of performance, MySQL is generally faster and more efficient than SQLite. It also supports a wide range of advanced features and capabilities, including triggers, stored procedures, and user-defined functions.
Unlike SQLite, which is limited to a single process, MySQL supports concurrent access and can handle multiple users and connections at the same time. It is widely used in large-scale applications and is known for its performance and scalability. On the other hand, MySQL is a more powerful and feature-rich database management system. This can be a major limitation for applications that require high concurrency and high performance. It also does not support concurrent access, which means that only one user can write to the database at a time. For example, SQLite does not support features such as triggers, stored procedures, or user-defined functions. Because it is a lightweight database, it lacks many of the advanced features and capabilities that are available in MySQL. However, the simplicity of SQLite comes at a cost. Yum.Įxpand your database knowledge with our technical blog.ĭownload Download for Desktop Simplicity at a cost
#SQLITE VS SQL HOW TO#
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