Microsoft Parallel Data Warehouse Reviews

Microsoft Parallel Data Warehouse has delivered a notable return on investment, proving essential to operations by efficiently handling large data volumes and integrating with existing tools. Users are pleased with its contribution to ROI though they acknowledge room for improvement. Some do not track ROI directly. It offers a quick solution for customer needs and has achieved a full return on investment, underscoring its integral role in back-end functions.

Microsoft Parallel Data Warehouse's pricing and licensing are often seen as competitive but can be perceived as expensive, particularly for high-performance requirements or large data environments. It is generally considered cost-effective when integrated with Azure, although on-premises solutions may face higher costs. Organizations frequently note that licensing agreements can vary, especially when involving government contracts. Setup fees are generally not required, and technical support incurs extra charges.

• "The solution is cost-effective."
• "They offer an annual subscription. The pricing depends on the size of the environments."
• "The tool could be expensive if we need to manage a lot of data."

Microsoft Parallel Data Warehouse is mainly employed for large-scale data analytics, enterprise data warehousing, and business intelligence applications. Various organizations use it for tracking sales, managing historical data, and integrating data from multiple sources, including finance, retail, and government sectors. It supports SQL, dashboard creation, and reporting for business insights. Many rely on its integration with Microsoft tools like SQL Server, Qlik, and Power BI to deliver tailored data insights and analytics solutions.

Customer service and technical support for Microsoft Parallel Data Warehouse receive mixed feedback. Some users find them responsive and knowledgeable, particularly with direct Microsoft connections. Others rely on online resources like Google and YouTube due to contact limitations or adequate internal expertise. Licensing impacts access, and while support is often sufficient, some users suggest improvements in speed and Azure knowledge. Satisfaction varies, with customer service rated seven out of ten.

Microsoft Parallel Data Warehouse's initial setup varies. Some find it straightforward with vendor collaboration ensuring smooth installation, while others encounter complexity during migration. Time for deployment can range from hours to years depending on components and data size. Experienced teams often find it simple, though new features can extend deployment. Migrating large data sets and integration may pose challenges, but documentation aids ease. Personnel requirements vary, typically involving one to three individuals for deployment and maintenance.

Many highlight Microsoft Parallel Data Warehouse as a scalable system, with users in hundreds, handling extensive everyday tasks. Some companies face challenges with queries and need expertise for optimal use. Users see potential in cloud migration for enhanced scalability. While recognized for good expandability, a few suggest room for improvement compared to competitors. Businesses find it efficient, supporting thousands, with scalability depending on design and data volume.

Microsoft Parallel Data Warehouse is widely regarded as stable, often performing reliably even under stress. Users have not faced significant difficulties, and it efficiently handles large data volumes. Stability improves with proper data setup and configuration by the team. Some initial instability was reported during beta phases. Occasionally, speed issues arise when handling extensive datasets, but bugs and crashes are rare. Stability ratings frequently range from eight to ten out of ten.