A beginner’s guide to database multitenancy

Replication, backing up, and monitoring can be set up on the catalog-level, hence all schemas could benefit from it. Marten V5.0 introduced (finally) built in support for multi-tenancy through separate databases per tenant or a group of tenants. Digital Guardian’s Data Protection Platform leverages software as a service, or SaaS, to provide data protection in a package that results in superior 21 Cloffice Ideas How to Turn a Closet into an Office security, better economics, and reduced overhead. We’ve had several instances of customers scaling to our application design or hardware resource limits. This impacts both the scaled customer, and everyone else because they share constrained resources. In Database multi-tenancy, the application connects to a database and gets data while the tenancy logic is delegated to the ops layer.

This also has some effect on other databases, as the engine needs to somehow figure out the table schema to run the query — and having multiple tables can mess up the caches. The second out of the box option is to use a separate named database in the same database instance for each individual tenant. In this case, Marten is able to provision new tenant databases on the fly when a new tenant id is encountered for the first time. That will obviously depend on the application having sufficient permissions for this to work. We think this option may be mostly suitable for development and automated testing rather than production usage.

Multi-Tenancy with Database per Tenant ​

All the models previously mentioned can be mixed together to help you achieve your goals. For instance, you can have any number of servers, with each server having a set of tables for tenants in the “one table per tenant” schema, multiple servers with the tenant column in all tables, and so on. That can be a solution for a problem you have in your https://forexarticles.net/net-developer-skills-20-experts-reveal-top/ current setup — like adding extra servers. In some cases, you can adapt your application to the hybrid model very easily. And in others, it can be difficult depending on your stack and the number of services that need to be changed. Another downside of this approach is that you will end up with a high number of tables in your database server.

From that parameter alone, it looks like the shared-database, single-schema approach is the most suitable. The fact that you’ll be storing just about 50Mb per tenant, and that there will be no per-tenant add-ons, makes this approach even more appropriate. That expected number of tenants (10k) should exclude the multi-database approach, for most, if not all scenarios. I don’t think you’ll fancy the idea of maintaining 10,000 database instances, and having to create hundreds of new ones every day. Especially if you are an MSSP that is the first tier support provider to your tenants, sometimes a primary tenant might need to log in to another tenant’s user interface.

Importance of multi-tenancy

A common analogy speaks to the difference between living in an apartment versus a single-family dwelling. It’s possible that a few tenants can monopolize resources at the expense of the rest. Occupants of a single-family dwelling don’t have to share resources with anyone and have complete discretion over their usage.

There are meta data tables that define the shape of the data model which can be unique per tenant. There are additional tables for indexing, relationships, unique values etc. The number, nature, and needs of the
tenants you expect to serve all affect
your data architecture decision in
different ways. Some of the following
questions may bias you toward a more
isolated approach, while others may
bias you toward a more shared
approach.

Building a Multi-Tenant SaaS Application: Best Practices

With a single-tenant architecture, the provider must touch multiple instances of the software in order to make updates. Multi-tenancy in Oracle is similar to Microsoft SQL Server, but with a few important differences. Where SQL Server has a single user account per database server, Oracle uses one user account per tenant. The user that Deep Security was installed with maps to the primary tenant.