Laravel Multi-Tenancy Explained

Shadyar Bzhar Othman
5 min readMay 9, 2024

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In the evolving landscape of Software as a Service (SaaS), scalability and efficient resource management are paramount. This is where the concept of multi-tenancy steps in, serving multiple tenants with a single application. In this article, I’ll explain the basics of multi-tenancy in Laravel, demonstrating how this architecture can be a game-changer for developing scalable applications. This article is the first part of a series focused on multi-tenancy, starting with the basics and moving to more detailed implementations in future articles.

What is Multi-Tenancy?

Multi-tenancy is a software architecture where a single application serves multiple users or customer groups, known as tenants. Each tenant’s data is isolated and remains invisible to other tenants. Essentially, multi-tenancy allows for sharing the same application and infrastructure while providing each tenant with a separate and secure environment. I call it a game-changer because it transforms how resources are utilized and managed, leading to more scalable and efficient systems.

In simpler terms, it’s all about the same software that multiple customers use, where each can see their own data, and it’s hosted in one place.

I highly recommend watching this insightful talk from 2017 on building multi-tenant applications, you can watch it here.

Pros & Cons of Multi-Tenancy

Pros

  • Cost Efficiency: Managing one infrastructure for multiple customers is more cost-effective than maintaining separate systems for each.
  • Maintenance: Updates, patches, and general maintenance are simplified because they only need to be applied once across the shared software.
  • Scalability: Scaling a single system to accommodate more tenants is typically easier and faster than scaling multiple separate systems.

Cons

  • Complexity: Ensuring that each tenant’s data remains isolated and secure can add complexity to the system’s design and operation.
  • Performance Issues: Shared infrastructure means that high demand from one tenant can potentially impact the performance for others, a challenge known as the “noisy neighbor” problem.
  • Customization Limitations: When tenants share the same application, it can be challenging to customize the software to meet specific tenant needs without affecting others.

Types of Multi-Tenancy

Single Database Multi-Tenancy

Definition: All tenants share a single database. Data from different tenants is differentiated by including a tenant_id on each relevant table.

Pros:

  • Simplicity: Easier to manage because there is only one database.
  • Cost-Effective: Less expensive as it requires fewer resources and less maintenance compared to multiple databases.

Cons:

  • Scalability Issues: As the number of tenants and the volume of data grow, performance can degrade due to the shared nature of the database.
  • Security Concerns: Data from different tenants is stored together, which might increase the risk of accidental data leakage between tenants.

Use Case: Best for small to medium-sized applications where the number of tenants and the volume of data are manageable, and the security requirements are not exceptionally stringent.

Multi Database Multi-Tenancy

Definition: Each tenant has its own database, ensuring complete isolation of data.

Pros:

  • Scalability: Each tenant’s database can be scaled independently, suitable for handling larger applications.
  • Security: Enhanced security because data is not shared between tenants at the database level.

Cons:

  • Complexity: More complex to implement and manage, especially with an increasing number of tenants.
  • Higher Costs: Maintaining multiple databases can be more expensive in terms of resources and operational overhead.

Use Case: Recommended for larger applications where tenants require robust data isolation, have high data volumes, or need to comply with strict regulatory standards.

Hybrid Multi-Tenancy

Definition: A mix of single and multiple database approaches where some tenants share a database while others have individual databases. This model is tailored based on tenant size, regulatory needs, or performance requirements.

Pros:

  • Flexibility: Offers a balance between resource efficiency and tenant isolation by adjusting the database strategy according to tenant needs.
  • Cost-Effectiveness: More cost-effective than a full multi-database setup but offers better scalability and security than a single database setup.

Cons:

  • Management Complexity: More complex to configure and maintain due to the variability in database setups.
  • Partial Scalability Issues: While it mitigates some scalability issues, performance challenges can still arise in the shared database component.

Use Case: Ideal for applications with a diverse tenant base where different tenants have varying needs regarding scalability, security, and cost. For instance, startups or small enterprises in the same multi-tenant application might share a database, while large corporations have dedicated databases.

Challenges and Common Concerns of Multi-Tenancy

While having a multi-tenancy application offers numerous benefits, there are still challenges to consider, as mentioned below:

  • Data Isolation: Isolating data from tenants is a common challenge and can be cumbersome if not done correctly. Improper isolation may lead to tenants seeing other tenants’ data.
  • Security: Security is always a concern on the internet, and it becomes even more critical in a multi-tenant environment. If a security breach occurs, it could potentially affect all tenants, which is not ideal.
  • Noisy Neighbor Problem: This problem arises when one tenant experiences high traffic, which can affect the performance for others because the infrastructure is shared among them.
  • Customization Limitations: As mentioned earlier, it’s harder to customize the software for individual tenants because the same software is shared across multiple tenants.

These challenges highlight the need for careful planning and robust system design to ensure the successful implementation of a multi-tenancy architecture.

Real-Life Examples

I think it’s always good to see real-life examples, as they help you understand the concept better and assist in deciding whether you need it or not:

  • Salesforce
  • Shopify
  • Office 365
  • Google Workspace
  • AWS
  • Zoom

Why Laravel?

Laravel is well-suited for multi-tenancy because it offers robust built-in features like authentication, database migrations, and a powerful queue system, all of which simplify the management of multi-tenant environments. Additionally, Laravel’s extensive package ecosystem, including tools specifically designed for multi-tenancy, makes it easier to implement and maintain isolated tenant data and functionality within a single application framework. This, combined with strong community support, makes Laravel a practical and efficient choice for developing scalable multi-tenant applications.

Conclusion

Thank you for reading this article, which has covered the basics of multi-tenancy. In the next article, I will delve into a step-by-step implementation of multi-tenancy using a multi-database approach with the tenancyforlaravel package. Feel free to leave a comment with your thoughts or questions!

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Shadyar Bzhar Othman
Shadyar Bzhar Othman

Written by Shadyar Bzhar Othman

Software Developer - Laravel | Vue | Flutter

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