And best of all when you add multiple databases to an Elastic Database Pool, you are able to average out the typical utilization load (because each of your customers tend to have different peaks and valleys) and end up requiring far fewer database resources (and spend less money as a result) than you would if you ran each database separately.
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You can set minimum and maximum performance SLA limits of your choosing for each database you add into the pool (ensuring that none of the databases unfairly impacts other databases in your pool).
Our management APIs also make it much easier to script and manage these multiple databases together, as well as optionally execute queries that span across them (useful for a variety operations).
You need to speed up a SQL Server app, but you only want to make index changes.
You don’t want to buy hardware, change SQL Server, or change the code.