Infobright DB vs Microsoft Parallel Data Warehouse comparison

Microsoft Parallel Data Warehouse and Infobright DB compete in data management solutions, each catering to different application needs. Microsoft Parallel Data Warehouse holds the upper hand in performance features, whereas Infobright DB offers extensive analytical capabilities with lower resource requirements.

Features: Microsoft Parallel Data Warehouse provides excellent scalability, seamless integration within the Microsoft ecosystem, and efficient data handling, making it suitable for large-scale operations. Infobright DB focuses on analytic capabilities with high data compression rates, reduced hardware demands, and its columnar database structure enhances efficient processing.

Room for Improvement: Microsoft Parallel Data Warehouse would benefit from better flexibility in non-Microsoft environments, enhanced user accessibility options, and improved data compression features. Infobright DB could improve in terms of broader ecosystem integration, advanced support for real-time analytics, and a more user-friendly interface for broader adoption.

Ease of Deployment and Customer Service: Microsoft Parallel Data Warehouse offers comprehensive deployment options, leveraging Microsoft's established support network which is beneficial for organizations using other Microsoft tools. Infobright DB prioritizes a simplified deployment model, allowing faster implementation with limited resources but has a less extensive support framework compared to Microsoft.

Pricing and ROI: Microsoft Parallel Data Warehouse involves significant upfront costs but offers a potentially high ROI due to its extensive capabilities, particularly for large enterprises. Infobright DB presents a more cost-effective solution with lower initial setup expenses, providing rapid ROI due to its efficiency and reduced hardware needs, appealing to cost-sensitive organizations.