Microsoft Parallel Data Warehouse and Microsoft Analytics Platform System are products designed for scalable data warehousing. Microsoft Parallel Data Warehouse holds an advantage due to its cost-effectiveness and robust features, whereas Microsoft Analytics Platform System offers superior analytics capabilities at a higher cost.
Features: Microsoft Parallel Data Warehouse supports integration across multiple platforms, provides seamless handling of structured and semi-structured data, and integrates with other Microsoft products with ease. Microsoft Analytics Platform System is enhanced with integrated big data solutions, offers comprehensive advanced analytics, and integrates seamlessly with other Microsoft ecosystems.
Room for Improvement: Microsoft Parallel Data Warehouse could improve on enhancing its analytics capabilities, offering more advanced technical support, and scaling options for large-scale analytics. Microsoft Analytics Platform System could benefit from reducing its deployment complexity, offering more competitive pricing, and simplifying its user interface for non-technical users.
Ease of Deployment and Customer Service: Microsoft Parallel Data Warehouse is straightforward in deployment, with efficient multi-platform integration and basic customer support. Microsoft Analytics Platform System, while offering extensive analytics support, requires a more technical deployment process but provides more specialized customer assistance.
Pricing and ROI: Microsoft Parallel Data Warehouse presents reasonable setup costs with solid ROI due to its cost-effectiveness. In contrast, Microsoft Analytics Platform System has a higher price point justified by its superior analytics capabilities, offering substantial ROI for companies focusing on advanced analytical insights.
| Product | Mindshare (%) |
|---|---|
| Microsoft Parallel Data Warehouse | 2.9% |
| Microsoft Analytics Platform System | 2.3% |
| Other | 94.8% |
| Company Size | Count |
|---|---|
| Small Business | 4 |
| Large Enterprise | 7 |
| Company Size | Count |
|---|---|
| Small Business | 16 |
| Midsize Enterprise | 6 |
| Large Enterprise | 22 |
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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