A collection of code samples that demonstrate how to quickly get started with Node.js and MariaDB using the Node.js connector (driver).

Samples include examples on how to:

• Establish a connection to a MariaDB database
• Create a database and table
• Insert records into a table
• Read records from a table
• Update records in a table
• Delete records from a table

A collection of code samples that demonstrate how to quickly get started with Python and MariaDB using the MariaDB Python connector (driver).

Samples include examples on how to:

• Open and close a connection to a MariaDB database
• Execute SQL statements
• Use SQL parameters within queries

A collection of code samples that demonstrate how to quickly get started with Java and MariaDB using the JDBC and R2DBC drivers.

Samples include examples on how to:

• Open and close database connections
• Execute SQL statements
• Create and manage connection pools

A short tutorial with instructions on how to set up a simple web application that demonstrates how to quickly connect to and communicate with a MariaDB database using PHP (via mysqli).

This tutorial will demonstrate how to quickly get started with MariaDB ColumnStore. a columnar storage engine that utilizes a massively parallel distributed data architecture.

Samples include examples on how to:

• Create a MariaDB ColumnStore Docker container using the official MariaDB Docker image
• Import data into a ColumnStore table
• Query data within a ColumnStore table

A collection of code samples that demonstrate the process of quickly getting started with Sequelize, a promise-based Node.js object-relational mapping (ORM) library, to connect to and communicate with a MariaDB using the MariaDB Node.js connector.

Samples include examples on how to:

• Configure a Node.js application to connect to and communicate with MariaDB
• Manage data stored within a MariaDB database using JavaScript models
• Set up model associations

A Wordle clone implemented with Spring Boot, R2DBC, MariaDB, and Svelte.

A web application that introduces you to the power, performance and simplicity of MariaDB through simple CREATE-READ-UPDATE-DELETE (CRUD) operations.

A web application backed by the power, performance, and simplicity of MariaDB, allows you to record all of your favorite locations using both structured (relational) and semi-structured (JSON) data!

A web application, backed by the power of MariaDB connectors and MariaDB ColumnStore database, that allows you to analyze over 180 million flight records from the United States Department of Transportation in real time without needing to add any indexes!

A web application that introduces you to the power, performance and simplicity of MariaDB by simulating online e-commerce (ordering) traffic.

This repository uses the official MariaDB Docker image to demonstrate how to manage semi-structured, via JavaScript Objection Notation (JSON), within a MariaDB database.

A respository containing code samples for getting started using JSON with MariaDB.

Includes samples for the following:

• Storing JSON documents in MariaDB
• Reading and writing data into JSON documents
• Creating performance enhancing indexes for JSON data
• Enforcing data integrity on JSON data
• And more!

A respository containing code samples for getting started using PL/SQL with MariaDB.

Includes samples for the following:

• Conditional statements
• Loops / Cursors
• Stored Procedures
• Functions
• Packages
• Triggers
• Exception Handling
• And more!

MariaDB implements more of the standard SQL specification than any other open source database, adding support for common table expressions (CTEs), window functions, temporal data tables and many other features over the last few years.

A respository containing sample applications and usages that will help you gain an understanding of how to take advantage of MariaDB Connector/Python.

• Simple API application: A Python application that uses Flask to expose endpoints that can be used to perform simple CRUD operations with MariaDB Connector/Python.
• Data Visualization: Using MariaDB Connector/Python, the libraries Plotly and Pandas are used to demonstrate data analysis and visualization.

This repository provides a simple example of a microservice architecture using a Microsoft .NET solution with Entity Framework and MariaDB that contains:

• Two microservice (.NET Web API) projects
• One API Gateway (Ocelot) project

MariaDB Hybrid Transactional/Analytical Processing (HTAP) combines row-based storage and column-based storage to create truly robust, innovative and truly modern applications.

This example walks through the process of downloading, installing and configuring a MariaDB HTAP solution using a Docker image.

A web application, backed by the power of MariaDB, that unleashes the power of smart transactions on hundreds of millions of records with sub-second query performance without having to add any indexes!