Microsoft Parallel Data Warehouse and SAP IQ are both in the data warehousing sector. Microsoft often has the upper hand in terms of ease of use and integration, while SAP IQ is favored for its compression and query performance.
Features: Microsoft Parallel Data Warehouse offers performance enhancements, seamless integration with business intelligence tools, and uses SQL Server commands efficiently. Meanwhile, SAP IQ provides high data compression, quick query responses, and utilizes a column-based storage system for enhanced efficiency.
Room for Improvement: Microsoft requires significant infrastructure and SQL Server expertise and has limited compatibility with some BI tools. SAP IQ struggles with insufficient promotion, limited Hadoop integration, and high backup costs.
Ease of Deployment and Customer Service: Microsoft Parallel Data Warehouse supports varied deployment options, including public and hybrid clouds, while SAP IQ is primarily focused on on-premises environments. Microsoft's customer service benefits from an extensive support ecosystem and community engagement.
Pricing and ROI: Both solutions offer competitive pricing, with Microsoft benefiting larger organizations through special agreements. SAP IQ offers simplified licensing and cost advantages, with satisfactory ROI due to its efficient data management.
I give the scalability an eight out of ten, indicating it scales well for our needs.
As a consultant, we hire additional programmers when we need to scale up certain major projects.
Microsoft Parallel Data Warehouse is stable for us because it is built on SQL Server.
It would be better to release patches less frequently, maybe once a month or once every two months.
When there are many users or many expensive queries, it can be very slow.
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.
There's a feature that allows users to set alerts on triggers within reports, enabling timely actions on pending applications and effectively reducing waiting time.
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.
SAP® IQ software delivers speed and power for extreme-scale enterprise data warehousing and analytics. Its column-oriented, grid-based massively parallel processing (MPP) architecture and patented data compression and indexing technologies enable companies to exploit the value of huge amounts of data at the speed of business.
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