Find out in this report how the two Cloud Data Warehouse solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
I give the scalability an eight out of ten, indicating it scales well for our needs.
Microsoft Parallel Data Warehouse is stable for us because it is built on SQL Server.
When there are many users or many expensive queries, it can be very slow.
Microsoft Parallel Data Warehouse is excellent but very expensive.
The ETL designing process could be optimized for better efficiency.
Microsoft Parallel Data Warehouse is very expensive.
The columnstore index enhances data query performance by using less space and achieving faster performance than general indexing.
Microsoft Parallel Data Warehouse is used in the logistics area for optimizing SQL queries related to the loading and unloading of trucks.
The interface is very user-friendly.
The traditional structured relational data warehouse was never designed to handle the volume of exponential data growth, the variety of semi-structured and unstructured data types, or the velocity of real time data processing. Microsoft's SQL Server data warehouse solution integrates your traditional data warehouse with non-relational data and it can handle data of all sizes and types, with real-time performance.
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