Multi-Model Architecture Basics

1. Introduction

Multi-model databases are designed to support multiple data models using a single, integrated backend. This architecture allows users to handle various data types, such as key-value, document, graph, and more, within a unified framework.

2. Definition

A multi-model database is a database management system that supports multiple data models, allowing for flexible data representation and querying capabilities. Examples include ArangoDB, OrientDB, and MongoDB.

3. Key Concepts

4. Architecture Overview

The architecture of a multi-model database generally consists of the following components:

1. Data Storage Layer
2. Data Access Layer
3. Query Engine
4. API Layer

            graph TD;
                A[User] --> B[API Layer];
                B --> C[Query Engine];
                C --> D[Data Access Layer];
                D --> E[Data Storage Layer];
            

5. Best Practices

• Understand the requirements: Choose the appropriate data models based on application needs.
• Optimize queries: Use indexing and caching strategies to improve performance.
• Maintain data consistency: Implement transaction management across different models.

6. FAQ