Service and Support
Users report Microsoft Parallel Data Warehouse customer service and technical support as satisfactory. Some have direct Microsoft links, while others rely on online resources like Google and YouTube for assistance. Technical support, rated 7/10, is accessible and knowledgeable, though speed and Azure expertise could improve. A license is needed for support access. User feedback is generally positive, though there's a call for more knowledgeable customer service representatives.
Deployment
Many users found Microsoft Parallel Data Warehouse's initial setup straightforward and efficient, often completed within days or weeks. However, experiences varied, with some finding it complex, especially when migrating from SQL Server or across multiple regions. Effective collaboration with Microsoft's support team was beneficial. Challenges included data complexity and integration. Knowledge and resources significantly influenced the ease of deployment, ranging from a few days to several months, depending on data size and project requirements.
Scalability
Microsoft Parallel Data Warehouse is considered scalable by many users, though SQL expertise is often required for optimal use. Some experience no issues, successfully supporting hundreds of users across various environments, including large enterprises. However, others note limitations with large datasets and seek alternatives like Snowflake for better performance. Organizations find it easy to extend the system, yet a few mention room for scalability enhancement, particularly compared to other technologies.
Stability
Users find Microsoft Parallel Data Warehouse to be stable and reliable. While earlier versions had issues, it performs well even during outages. Stability is dependent on proper data setup and network conditions. It manages large data volumes effectively, though large data processing may slow down operations. Users report quick issue resolution, lack of crashes, and consistent performance. Some have rated its stability nine or ten out of ten, noting successful integration with various database systems.