Azure Elastic Pools

Kevin Feasel

2017-03-23

Cloud

Derik Hammer explains what Azure SQL Database Elastic Pools do:

Azure SQL Database Elastic Pools are a mechanism for grouping your Azure SQL Databases together into a shared resource pool. Imagine for a moment that you had a physical server on premise. On that server, you have a single SQL Server instance and a single database. This example is similar to how Azure SQL Database works. You have a fixed amount of resources and you pay for those resources, even when you are not using them.

An Elastic Pool is analogous to that same server and instance, instead you add several databases to the instance. The databases will share the same resource pool which can be cheaper than paying for separate sets of resources, as long as your databases’ peak usage times do not align with each other.

Read on to see how you can potentially save money on databases using an elastic pool instead of spinning up the databases independently.

Related Posts

Data Classification In Power BI

Steve Hughes describes how Power BI data classification works: Power BI Privacy Levels “specify an isolation level that defines the degree that one data source will be isolated from other data sources”. After working through some testing scenarios and trying to discover the real impact to data security, I was unable to effectively show how […]

Read More

Using h2o.ai On HDInsight

Xiaoyong Zhu shows how to set up h2o.ai on Azure HDInsight: H2O Flow is an interactive web-based computational user interface where you can combine code execution, text, mathematics, plots and rich media into a single document, much like Jupyter Notebooks. With H2O Flow, you can capture, rerun, annotate, present, and share your workflow. H2O Flow […]

Read More

Categories

March 2017
MTWTFSS
« Feb Apr »
 12345
6789101112
13141516171819
20212223242526
2728293031