Both MySQL and SQLite use the Structured Query Language (SQL) to define, update, and query data in Databases. Depending on the use case, one might want to move data from SQLite to MySQL for further analysis. SQLite is best suited for smaller Databases and does not have any specific user management functionality, making it difficult for users to collaborate.

SQLite is not easily scalable and lacks customizability. On the other hand, MySQL supports multiple users and can store a huge amount of data in the form of MySQL tables. Hence, as your business scales, your Database grows, and SQLite might not be very effective for your data. Therefore, it is highly recommended to migrate from SQLite to MySQL if you’re dealing with large volumes of data.

    This article will help you quickly migrate SQLite to MySQL Database. Let’s get started with the “SQLite to MySQL” integration.

    What is SQLite?

    sqlite logo

    SQLite is a transactional SQL Database Engine that is embedded in a C programming library. Available freely in the public domain, this open-source Relational Database Management System is different than the client-server model-based Relational Databases. 

    Instead of running it on your system, it typically runs on the server. Acting as an embedded database, SQLite works within the software that accesses the data. You can access the database directly without the need for mediation from the host server. Check out how connecting SQLite to SQL server can help you interact with databases.

    What is MySQL?

    mysql logo

    MySQL is considered to be one of the most popular Open-Source Relational Database Management Systems (RDBMS). MySQL implements a simple Client-Server Model that helps its users manage Relational Databases i.e. data stored in the form of rows and columns across tables. It uses the well-known query language, Structured Query Language (SQL) that allows users to perform all required CRUD (Create, Read, Update, Delete) operations.

    Looking to Migrate Data to MySQL?

    Tired of writing long lines of code for replicating your data to MySQL? Unlock the power of your data by effortlessly replicating it using Hevo’s no-code platform. Use Hevo for:

    1. Simple two-step method for replicating data to MySQL.
    2. Performing pre/post load transformations using drag-and-drop features.
    3. Real-time data sync to get analysis-ready data. 

    Join 2000+ happy customers who’ve streamlined their data operations. See why Hevo is the #1 choice for building a modern data stack for leading companies like Groww.   

    Get Started with Hevo for Free

    SQLite to MySQL – 2 Easy Methods

    Depending on the requirements, one might want to migrate from SQLite to MySQL. It is not easy as moving data from a file to a table in MySQL. This section will guide you on how to move data from SQLite to MySQL Database. Below are the two SQLite to MySQL converter methods.

    Method 1: Converting SQLite to MySQL with .dump Command

    The quickest and easiest way to convert SQLite to MySQL is by exporting an SQL Database to a Dump File and then importing the SQLite Dump into MySQL Database.

    • You can export an SQLite Database to a Dump File using the .dump command.
    sqlite3 sample.db .dump > dump.sql
    • Now, import this Dump File into MySQL using the command shown below.
    mysql -p -u root -h 127.0.0.1 test < dump.sql

    That’s it; you can now use this SQLite Database in MySQL. But, this method usually doesn’t work because there are differences in grammar between SQLite and MySQL syntax. Hence, you can’t convert data between Heterogeneous Databases by simply exporting and importing the Dump File.

    SQLiteMySQL
    BEGIN;

    COMMIT;
    BEGIN TRANSACTION;

    COMMIT;
    AUTOINCREMENT
    TEXT
    double quotes (” “)

    AUTO_INCREMENT
    varchars
    backticks (` ` )

    Hence, you will be stuck with errors if you go ahead with this method. You’d spend a lot of time resolving data issues.

    Method 2: Converting SQLite to MySQL with Python

    You can also convert SQLite3 to MySQL online by writing a free Perl or Python script. But again, this is not so easy and will require experience working with Python.

    Here’s a sample Python code for converting SQLite to MySQL.

    objects = ModelObject.objects.using(‘sqlite’).all()
    
    for obj in objects:
    obj.save(using=’mysql’)

    However, this is just a basic code and it is most likely not enough. SQLite to MySQL is a more complex job and it may require a third-party solution to accomplish the migration.

    Conclusion

    This article introduced you to SQLite and MySQL and provided you with a step-by-step guide on how to convert SQLite to MySQL. Connecting to a MySQL Database through the Dump File method will create a slug of errors and data issues. Connecting to a MySQL Database is a tedious and time-consuming process but a third-party Data Integration tool like Hevo can do wonders for you.

    However, if you’re looking to move complex sets of data in and out of MySQL, you can check out Hevo and its salient features. See how connecting SQLite to MariaDB can streamline your data management and improve performance.

      SIGN UP for a 14-day free trial and see for yourself! You can also look at the unbeatable pricing that will help you choose the right plan for your business needs.

      FAQ on SQLite to MySQL

      Can I install MongoDB Compass on Ubuntu?

      Yes, you can install MongoDB Compass on Ubuntu. You can download the .deb package from the MongoDB website and install it using dpkg.

      Is MongoDB Compass free or paid?

      MongoDB Compass is free. You can download and use it free of charge.

      What is the difference between MongoDB Atlas and Compass?

      MongoDB Atlas is a cloud-hosted database service, while MongoDB Compass is a GUI tool for managing and visualizing data in MongoDB. Atlas manages the database infrastructure, and Compass helps with database interactions.

      Raj Verma
      Business Analyst, Hevo Data

      Raj, a data analyst with a knack for storytelling, empowers businesses with actionable insights. His experience, from Research Analyst at Hevo to Senior Executive at Disney+ Hotstar, translates complex marketing data into strategies that drive growth. Raj's Master's degree in Design Engineering fuels his problem-solving approach to data analysis.

      No-code Data Pipeline for MySQL