Microsoft Parallel Data Warehouse Reviews

Users report satisfaction with ROI from Microsoft Parallel Data Warehouse. They highlight its ability to manage large data volumes efficiently and integrate with existing tools. One entity mentions it is crucial for their back-end activities, noting a full return on investment. Although there is an area of improvement, others mention that tracking ROI might be handled by separate organizational divisions. Overall, it is valued for offering a quick solution to customer needs.

Microsoft Parallel Data Warehouse offers competitive pricing with variations based on data size and infrastructure needs, making it suitable for large enterprises. Licensing agreements can provide cost benefits, particularly for government collaborations. Users often find pricing well-aligned with market standards, although some view it as expensive, especially for high-performance or on-premises requirements. Annual subscriptions and Microsoft SQL licenses are common, with additional technical support fees. Costs often reflect the substantial data and performance capabilities required by users.

• "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 used for large-scale data analysis, enterprise data warehouse solutions, and business intelligence. Organizations implement it for data analytics, reporting, and integration across sectors like finance, banking, and logistics. It powers dashboards, KPIs, and real-time data management. Businesses utilize it to collect, transform, and serve data to platforms like Qlik, handling historical and real-time information, often coordinating with tools like SQL Server, Power BI, and Azure SQL.

Users generally rate Microsoft Parallel Data Warehouse customer service and technical support as satisfactory, typically scoring 7 out of 10. Many users utilize online resources like Google or YouTube for problem-solving, highlighting the ecosystem’s support. Direct contact with technical support is often unnecessary, though when accessed, it is efficient and knowledgeable. A license is necessary for full technical support access, which some clients utilize successfully. Experiences with customer service vary; some desire more expertise from representatives.

Many participants found Microsoft Parallel Data Warehouse's initial setup straightforward, often aided by documentation and knowledgeable teams. Some encountered complexity, especially during data migration or integration. The deployment duration varied from minutes to several years, depending on data size and international reach. Assistance from Microsoft support and collaboration with vendor teams was frequently mentioned. Essential variables included the availability of resources and understanding SQL. Maintenance was generally manageable with a small team.

Microsoft Parallel Data Warehouse scales effectively with varying user numbers and diverse locations. Some consider it easy to scale, although others note limitations with large data sets. Expertise in SQL is beneficial, and scalability is contingent on design and data volume, with cloud alternatives potentially offering more ease. Users indicate growth is manageable, yet comparisons to other tools suggest room for improvement.

Users indicate Microsoft Parallel Data Warehouse is stable, handling large volumes and complex queries effectively. Many report quick recovery from power outages, while others mention rare instabilities related to network or external conflicts. Microsoft quickly resolves occasional issues. Performance is praised, with no significant bugs or crashes noted. Some mention challenges when data configurations change or with ETL processes, but stability is maintained with proper setup and management by outsourcing teams. Ratings range high, up to ten out of ten.