How to Install SQLite on macOS: A Step-by-Step Tutorial

SQLite is a lightweight, high-performance, self-contained relational database management system that is widely used for various applications. If you’re using macOS and want to install SQLite, this step-by-step tutorial will guide you through the process.

Prerequisites

Before you begin the installation, make sure you have the following:

macOS: Ensure you have a working macOS system.
Terminal: Access to the terminal or command line interface.

Now that you have the prerequisites in place, let’s proceed with the installation.

Step 1: Check if SQLite is Pre-installed

macOS often comes with SQLite pre-installed. To check if it’s available on your system, open your terminal and run:

sqlite3 --version

If you see a version number in the output, that means SQLite is already installed. You can skip the installation steps.

Step 2: Install Homebrew

If SQLite is not pre-installed or you prefer a more up-to-date version, you can use Homebrew, a package manager for macOS, to install it. If you don’t have Homebrew installed, you can do so by running the following command:

/bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/HEAD/install.sh)"

Follow the prompts to complete the installation.

Step 3: Install SQLite with Homebrew

Once Homebrew is installed, you can easily install SQLite. Run the following command:

brew install sqlite

Homebrew will fetch and install SQLite for you.

Step 4: Verify the Installation

To verify that SQLite has been successfully installed, you can check the version of SQLite by running the following command:

sqlite3 --version

You should see the installed SQLite version in the output.

Conclusion

You’ve successfully installed SQLite on your macOS system. You can now use SQLite to create, manage, and query databases for your applications. This lightweight database management system is highly versatile and can be used for a wide range of projects. If you’re new to SQLite, be sure to explore its documentation and tutorials to harness the full power of this powerful database system.

Happy coding!