MySQL and SQLite and two immensely popular Open-Source Database Management tools being used in the community. Both offer different features which make them optimal for different use cases. Understanding the differences between the two platforms can help bring more clarity if you are looking out for deploying your own solution.

In this article, you will learn in detail about SQLite and MySQL along with their key features. You will compare SQLite vs MySQL based on 5 critical parameters. The differences in their features and implementation strategies will be highlighted and the limitations of both the platforms will be presented to enable you to make an informed decision. 

Introduction to SQLite

SQLite Logo - SQLite vs MySQL

SQLite is an Open-Source Relational Database Management System [RDBMS] designed to work without a Database Administrator. It is self-contained, file-based, and is known for its portability, performance in low memory environments, and reliability. The data transactions carried out in SQLite are ACID compliant [Atomicity, Consistency, Isolation, Durability].

Where most Relational Database engines are based on a server architecture that allows the program to run on a host server to communicate with processes to relay requests, SQLite is based on a serverless architecture where any process can access the database reads and write to the database disk files directly.

Key Features of SQLite

  • Lightweight Installation: The SQLite library is small in size and can take up less than 600KiB of space. 
  • Ease of Use: SQLite does not require additional setup while installing on the system, also called Zero-Configuration database.
  • Portability: The entire database is stored as a single file and can be shared via removable media of FTP [File Transfer Protocol]. 
  • Embedded Applications: Perfect for database applications that require portability without future expansion such as mobile applications or games. 
  • Testing: Offers In-Memory mode to run tests without any overhead of actual Database Applications.
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Introduction to MySQL 

MySQL Logo - SQLite vs MySQL

MySQL is an Open-Source Relational Database Management System. It is the most popular Open-Source Database Engine and is designed for speed and reliability at the expense of full adherence to standard SQL. This platform powers the backend of many web platform giants such as Twitter, Facebook, Netflix, and Spotify. There are various SQL modes and extensions that can be used to improve the functionality and compatibility with the Standard SQL.

Key Features of MySQL

  • Ease of Use: There is an abundance of online resources and documentation online, and the support community is very active to help learn the platform and solve issues. 
  • Third-Party Support: Various third-party tools and applications such as phpMyAdmin build upon the platform to improve the functionality. 
  • Secure Implementation: Security is prioritized and the database’s security is improved by configuring the installation’s password security level. The data access is granted on a user-by-user and process-by-process basis. 
  • Improved Performance: The different architecture helps in the implementation of faster databases. 
  • Replication Support: Different forms of Replication are supported to ensure backups, improve reliability, availability, and fault tolerance.
  • Distributed Operations: Functionality is offered to support Distributed Database setups like Primary-Secondary, Primary – Primary architectures, etc. 

Factors that Drive the SQLite vs MySQL Decision 

    1) SQLite vs MySQL: Architecture 

    SQLite Architecture

    It is an Open-Source project available in the Public domain. The software library is also referred to as an Embedded Database which is a Database Engine that runs as a part of an app. The SQLite solution is server-less and self-contained. 

    MySQL Architecture

    It is an Open-Source project owned by Oracle. This solution requires a server and interaction of client and server architecture over a network.

    2) SQLite vs MySQL: Data Types Supported 

    MySQL supports significantly more data types than SQLite.

    Data Types Supported by SQLite

    • Blob
    • Integer
    • Null 
    • Text 
    • Real

    Data Types Supported by MySQL

    • Tinyint
    • Smallint
    • Mediumint
    • Int
    • Bigint
    • Double
    • Float
    • Real
    • Decimal
    • Double precision
    • Numeric
    • Timestamp
    • Date
    • Datetime
    • Char
    • Varchar
    • Year
    • Tinytext
    • Tinyblob
    • Blob
    • Text
    • MediumBlob
    • MediumText
    • Enum
    • Set
    • Longblob
    • Longtext

    3) SQLite vs MySQL: Storage and Portability

    Storage and Portability for SQLite 

    The SQLite software library is around 250 KB in size and can directly store the data into a single file. The single files make it easier to transfer and share the data, as no configuration is required and processes can be carried out with a minimal amount of support. 

    Storage and Portability for MySQL 

    MySQL software library is around 600 MB in size. The data needs to be condensed into a single file for sharing, this process can take a lot of time.

    Therefore if you require portability with your data storage, SQLite provides better support for this use case.

    4) SQLite vs MySQL: Multiple User Access and Scalability

    Multiple User Access and Scalability for SQLite

    SQLite’s scalability is limited and only appropriate for smaller databases. Since the platform does not have any user management facility, it is not suitable for multiple user access. 

    For larger files, the memory requirement singificantly increases for SQLite DB.  

    Multiple User Access and Scalability for MySQL

    MySQL on the other hand can handle a larger database size and offers a well-designed user management system

    5) SQLite vs MySQL: Security and Ease of Setup 

    Security and Ease of Setup for SQLite

    There is no inbuilt authentication process offered by SQLite and the data can be accessed by anyone. But the platform is easy to set up not requiring much configuration. 

    Security and Ease of Setup for MySQL

    MySQL on the other hand offers a lot of security features such as user authentication using passwords, SSH, etc. Though the setup process of MySQL is more complex there are a lot of resources available online to guide the user. 

    Comparison Table

    CriteriaSQLiteMySQL
    ArchitectureOpen-source, embedded database, server-less, self-contained.Open-source, requires server-client interaction over a network. Owned by Oracle.
    Data Types SupportedBlob, Integer, Null, Text, Real.Tinyint, Smallint, Mediumint, Int, Bigint, Double, Float, Real, Decimal, Timestamp, Date, etc.
    Storage and Portability~250 KB, stores data in a single file, easy to transfer and share. No configuration is required.~600 MB, requires condensation into a single file for sharing, a time-consuming process.
    Multiple User Access and ScalabilityLimited scalability, not suitable for multiple users, memory requirements increase for larger files.Handles larger databases, and supports multiple users with a user management system.
    Security and Ease of SetupNo built-in authentication. Anyone can access the data, easy to set up.Offers security features like authentication, SSH, etc., and the setup is more complex but well-documented.

    Understanding Limitations of SQLite and MySQL

    Limitations of SQLite

    • Limited Throughput and Size: While SQLite can support database size upto 140 TB, the optimal size of the database recommended for SQLite is only 1 TB
    • Network Requirements: Being a Serverless Database, SQLite does not provide direct access to data, access is rather built into the application. Thus if the deployment is present on a different system a high bandwidth and low latency engine-to-disk connection is required over the network, increasing the deployment costs. 
    • Concurrency Limitations: Only one write application is allowed at a time on the SQLite Database, so it is not appropriate for applications requiring multiple writes. 
    • Lack of User Management: No user management system/functionality is available as the data is directly written and read on an ordinary disk file which requires only one level/type of permission for access. 
    • Lack of Security: Serverless Databases are inherently less secure in their implementation. Other security measures such as access control are not natively available. 

    Limitations of MySQL 

    • Licensing Fees: While the basic community edition of the software is free; the commercial versions of the software require proprietary licenses. 
    • Limited Basic Feature-set: As there is an option of licensed editions and other third-party tools, the community MySQL edition provides only limited functionality.
    • Delayed Updates: Since the acquisition of MySQL by Oracle in 2009, users have complained that the bug resolution and, software updates and development has been very slow compared to industry standards. 
    • SQL Compliance: MySQL is developed keeping performance in consideration, which has led to incompatibilities with the Full-Standard SQL and its supported functionality. 
    • The Issue with Concurrency: Concurrent read-writes can be problematic if multiple users are trying to access and change the data in the Database. 

    Conclusion

    In this article, you learned about SQLite and MySQL, key features of both the platforms, comparing SQLite vs MySQL depending upon their implementation based on 5 parameters, and limitations of their implementations. 

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    FAQs

    1. Which is faster, SQLite or MySQL?

    SQLite is faster for small applications with a much lesser number of data; MySQL works better for large, complex systems.

    2. Is MySQL more secure than SQLite?

    MySQL has an advanced feature in terms of security: authentication and encryption compared to SQLite, which does have limited amounts of security.

    3. Which database supports more complex queries, SQLite or MySQL?

    MySQL has a lot of features, including the possibility of supporting more complex joins and more powerful indexing compared with SQLite.

    Abhishek Duggal
    Research Analyst, Hevo Data

    Abhishek is a data analysis enthusiast with a strong passion for data, software architecture, and crafting technical content. He has strong data analytical skills and practical experience in leveraging tools like WordPress, RankMath, and SEMRush to optimize content strategies while contributing significantly to Hevo Data.