Analytical Workloads

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!

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.

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

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.

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 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!

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!

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

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.