Multitenancy Strategies in Graph Databases

1. Introduction

Multitenancy in graph databases allows multiple tenants to share the same database instance while keeping their data isolated and secure. This lesson covers the fundamental strategies available for managing multitenancy in graph databases.

2. Multitenancy Concepts

Understanding multitenancy is crucial for designing efficient multi-user applications. Here are some key concepts:

• **Tenant**: An individual or organization that uses the application and has its own set of data.
• **Isolation**: Ensuring that one tenant's data cannot be accessed by another tenant.
• **Scalability**: The ability to efficiently manage an increasing number of tenants without degrading performance.

3. Multitenancy Strategies

There are several strategies for implementing multitenancy in graph databases:

1. Database-per-tenant

   Each tenant has its own database instance. This offers maximum isolation but can lead to high resource consumption.

2. Schema-per-tenant

   Each tenant has its own schema within a single database. This balances isolation and resource efficiency.

3. Table-per-tenant

   Each tenant's data is stored in separate tables within the same schema. This is easier to manage but can complicate queries.

4. Shared Schema with Tenant Identifier

   All tenants share the same schema, but each record includes a tenant identifier. This is the most resource-efficient but requires careful query design to ensure isolation.

4. Best Practices

Here are some best practices for implementing multitenancy in graph databases:

• Define clear data access policies for each tenant.
• Use indexes effectively to improve query performance.
• Regularly monitor and optimize database performance.
• Implement robust security measures to protect tenant data.

5. FAQ