Cloud infrastructures are a fast-growing trend in the IT industry. According to Gartner’s 2019 forecast, the revenue from Software as a Service applications will increase from $94.8 billion to $143.7 billion by 2022. But many top-level managers still have questions about single-tenant and multi-tenant SaaS database designs.
Do you want to make sense of tenancy in software services? How should you build a multi-tenant database design in SaaS? You’ve come to the right place!
We will answer your questions and help you pick the optimal SaaS architecture for your business. Without further ado, let’s dive in!
Table of Contents
Software as a Service (SaaS) is a cloud-based distribution model that allows users to access applications remotely. You may have heard about single-tenant and multi-tenant SaaS architecture before. One could wonder, what does tenancy have to do with software services?
It’s easy. The tenancy is an analogy for exchanging computing resources in a software environment, where tenants represent neighbors living either in the apartment building (or a private household). Now, what are the differences between single-tenant and multi-tenant databases for a SaaS?
In a single-tenant architecture, the tenant owns an application. Each client uses an isolated database, storage, and web server. Single-tenant design is popular among larger enterprises that want maximal customization and secure solutions. The customer often hosts the app. Consequently, it’s up to them to develop, host, and maintain the cloud infrastructure.
The examples of a multi-tenant architecture include such services as:
Multi-tenant SaaS providers allow clients to run sophisticated apps and large databases immediately while spending less money. Moreover, tenants don’t have to maintain the infrastructure, allowing them to save storage, hardware, and CPU costs. Therefore, it’s a perfect option for startups, medium-sized companies, and organizations with smaller IT teams.
But there are more benefits to a SaaS multi-tenant database design.
Now, let’s look at the benefits of a SaaS multi-tenancy for businesses:
Let’s sum up the pros and cons of single-tenant and multi-tenant approaches. Single-tenancy requires more resources but offers advanced security and customizability. But in the multi-tenant model, the vendor owns and maintains the infrastructure, making it a cost-effective and scalable choice for most businesses.
The tenancy model will impact the essential aspects of your SaaS. You should build the service around your business needs instead of arbitrary assumptions.
Here are the multi-tenant models you should consider:
When designing multi-tenant applications, you should consider the number of tenants and their isolation, onboarding, and policy management mechanisms.
Tenant isolation (or tenant partition) refers to tools that prevent other tenants from accessing other users’ content. As such, it’s one of the fundamental aspects of the SaaS multi-tenant data architecture.
Here’s the deal. As you know, every user shares resources in multi-tenant environments. Therefore, security, privacy, and confidentiality should be your top focus during development. Now, what data isolation strategies in a multi-tenant SaaS environment are the most common?
The silo model consists of separate isolated clusters, with each tenant owning storage and infrastructure resources. This partition type is synonymous with single-tenant SaaS architectures.
Silo allows SaaS providers to create stronger boundaries for tenants. Consequently, it’s easier to calculate resource usage data for every client. The downsides of this model include higher infrastructure costs, complicated development, and costly management.
Pool isolation refers to a SaaS multi-tenancy architecture pattern where multiple users share the same infrastructure. This partition model has weaker boundaries between tenants and poses more risk of cross-tenant access. Nonetheless, the pool isolation model enables vendors to scale their resources in proportion to the user-base and resource usage.
The bridge model is a hybrid of silo and pool partition with shared and isolated infrastructures. How does it work?
For example, your tenants can share the same web server or database using a pool model but have separate tables or microservices for different users.
The tier-based model works like the bridge model, but the types of isolation are based on the subscription plan. The free tier users will share the infrastructure with other tenants, while premium subscribers can have dedicated environments with less risk of cross-tenant access.
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Tier-based partition is the most salable solution that also prompts users to buy premium plans. But remember: the maintenance costs will grow as more tenants switch to isolated environments.
So, your SaaS managed to gain traction. But customer retention should concern you just as much as customer attraction.
Look: every subscription-based SaaS experiences churn (also known as customer attrition). According to reports, churn rates for cloud-based services range from 16% to 37% across different industries.
And here’s the best part: it’s possible to reduce customer attrition by making your service more understandable to new tenants. This process is called tenant onboarding, and it includes providing users with:
Most importantly, you should automate these processes for maximum convenience.
An experienced software developer will know how to build a multi-tenant SaaS application with an automated provisioning mechanism. On top of that, the right IT company can update your app with an onboarding solution to improve the tenant retention rate.
Resource consumption metrics are fundamental for a SaaS business. With a comprehensible view of your entire infrastructure, you can learn what microservices and subscription modes provide the most value.
The metrics you should monitor include:
This data can affect your entire business plan. For instance, you’ll be able to shift focus on features that generate the most revenue while requiring fewer resources. Plus, you will set an optimal threshold for tenant consumption if they regularly exceed limits.
The bottom line: you should design a multi-tenant application with a mechanism that can accurately collect a wide range of resource consumption metrics.
As your product evolves, you need to improve the way you address your tenant’s needs. How? You can do this by implementing a centralized tenant configuration tool for policy management.
Tenant policies allow you to adjust the user experience in terms of available features, performance, limitations, and SLAs (service-level agreements). Furthermore, you’ll be able to quickly customize whole categories of tenant personas.
Now, let’s see how you should approach SLAs in multi-tenant cloud services.
Service Level Agreement (SLA) is a contract between a SaaS provider and a customer. It defines what customers should expect from your app in terms of features, security, and availability time. In other words, this document outlines the user experience.
SLA isn’t just a legal document. It’s a tool that allows you to measure how your service meets your tenant’s expectations.
Therefore, you should adapt your SLA with the SaaS. How can you achieve that? Let’s look at some proven strategies:
To sum up, SaaS providers should alight business outcomes with customer expectations. And, if you want to expand your service and reduce churn rate, your SLAs should contribute to your multi-tenancy model.
Multi-tenant SaaS offers multiple advantages for startups and SMBs because of its cost-efficiency and scalability. But developing a multi-tenant service goes beyond architecture design.
The number of users, partition model, onboarding process, configuration management tools, and SLA — these are the core factors you need to consider from the very beginning.
A reputable software development company can supply you with the relevant tech stack and create a detailed product roadmap. If you want help developing a multi-tenant SaaS application, feel free to drop us a line!