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Why should you have multiple databases?
Good reasons to create separate databases would be to support different availability requirements or simplify administration. For example if your databases require very different backup schedules or different recovery models. Another reason would be if you may want to run them on different instances.
What is the benefit of having more than one instance connected to the database?
A second area in which multiple instances provide great benefit is server consolidation. Instead of having 10 machines to run 10 applications, a company can run all applications on one machine. With separate SQL Server instances, each application can still have its own administrator and its own users and permissions.
How many databases can we create on a single server?
For SQL Server, the max number of databases you can have on a single SQL Server instance is 32,767.
Which is easier to maintain single database or multiple databases?
Grouping of data into multiple databases each with a significantly fewer number of tables. It is easier to maintain only one database instead of several. It is also a bit easier to collect statistics about the usage of the application if the database is shared. Administrator application is easier to develop as well
How to create multiple listeners for same availability group?
As the PM who designed the availability group listener feature, when I talked to some customers , there’re 2 scenarios I realized may need to have multiple listeners for a single availability group. This Customer has a few legacy clients and he cannot change the connection string for them.
What is an example of a distributed availability group?
For example, if the AG containing the read/write primary replica is SQL Server 2016, but you want to upgrade/migrate to SQL Server 2017 or later, the other AG participating in the distributed AG can be configured with SQL Server 2017.
What happens when you have multiple customers in a database?
With multiple customers in a single database, every SQL query is going to need to ensure that the data for the correct customer is chosen. That means that the SQL is going to be harder to write, and read, and the DBMS is going to have to work harder on processing the data, and indexes will be bigger