Microsoft Parallel Data Warehouse and SAP NetWeaver Business Warehouse compete in the realm of enterprise data warehousing. Microsoft Parallel Data Warehouse appears to have the upper hand in terms of cost efficiency and integration within its ecosystem, whereas SAP NetWeaver Business Warehouse excels in data modeling within the SAP universe.
Features: Microsoft Parallel Data Warehouse is known for its performance boost, offering 10-100X faster data loading operations, ease of integration with Microsoft products like Power BI, and its ability to store and process data efficiently. SAP NetWeaver Business Warehouse features extensive data modeling capabilities, strong ETL functionalities, and integrated business intelligence tools, providing convenient data management and reporting capabilities.
Room for Improvement: Microsoft Parallel Data Warehouse could enhance its non-Microsoft ecosystem integration, simplify setup processes, and improve data management flexibility. SAP NetWeaver Business Warehouse may benefit from simplifying its data modeling approaches, enhancing scalability of its performance, and streamlining user interfaces.
Ease of Deployment and Customer Service: Microsoft Parallel Data Warehouse supports varied deployment models, including public, private, on-premises, and hybrid clouds, providing extensive flexibility for different IT environments. SAP NetWeaver Business Warehouse primarily focuses on on-premises and private cloud deployments, which might limit some options. Both offer competent customer service, though there are calls for improved responsiveness and support quality.
Pricing and ROI: Microsoft Parallel Data Warehouse provides flexible pricing models fitting organizational needs, especially when paired with Azure, making it cost-effective for large-scale operations. SAP NetWeaver Business Warehouse generally incurs higher costs due to licensing, particularly additional user licenses. Despite this, both solutions deliver significant returns on investment by meeting performance expectations consistently.
When there are many users or many expensive queries, it can be very slow.
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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