1、Top Cloud Data Warehouses for the EnterpriseCOMPARISON GUIDEAmazon vs.Azure vs.Google vs.SnowflakeData warehouses have been staples of enterprise analytics and reporting for decades.But they werent designed to handle todays explosive data growth or keep pace with end users ever-changing needs.All th

2、at changed when cloud data warehousing emerged.Cloud data warehousing provides businesses of all sizes with benefits and flexibility they couldnt enjoy before.No longer constrained by physical data centers,companies can now dynamically grow or shrink their data warehouses to rapidly meet changing bu

3、siness budgets and requirements.Modern cloud architectures combine three essentials:the power of data warehousing,flexibility of Big Data platforms,and elasticity of cloud at a fraction of the cost to traditional solution users.This eBook describes leading cloud data warehouses with noteworthy diffe

4、rences and a proven approach to make them accessible,effective,and efficient for all your data users.MASSIVELY PARALLEL PROCESSING(MPP)Data warehouses that support big data projects use massively parallel processing(MPP)architectures to provide high-performance queries on large data volumes.MPP arch

5、itectures consist of many servers running in parallel to distribute processing and input/output(I/O)loads.COLUMNAR DATA STORESMPP data warehouses are typically columnar stores the most flexible and economical for analytics.Columnar databases store and process data by columns instead of rows and make

6、 aggregate queries,the type often used for reporting,run dramatically faster.The Rise of Cloud Data WarehousingComparison Guide:Top Cloud Data Warehouses for the Enterprise2Redshift is a fully managed,petabyte-scale data warehouse service in the cloud.You can start with as little as a few gigabytes