Microsoft Parallel Data Warehouse and VMware Tanzu Data Solutions compete in the data management and analytics category. Based on the features and scalability, VMware Tanzu has the upper hand due to its strong parallel processing and flexibility.
Features: Microsoft Parallel Data Warehouse provides significant performance boosts, easy accessibility to corporate data, and seamless integration with BI tools like Power BI. It efficiently handles large data volumes while maintaining data integrity. VMware Tanzu Data Solutions is known for its scalability through MPP architecture, powerful parallel processing, and strong integration capabilities with various procedural languages.
Room for Improvement: Microsoft Parallel Data Warehouse needs better compatibility with common BI tools, improved performance with large datasets, and simpler initial setup. VMware Tanzu Data Solutions could benefit from enhancements in query result stability, better high-availability options, and compatibility with current technologies like big data stacks.
Ease of Deployment and Customer Service: Microsoft Parallel Data Warehouse is primarily used in on-premises and hybrid environments. It offers decent but location-dependent technical support. VMware Tanzu Data Solutions provides flexible deployment across on-premises, public, and hybrid clouds, though hybrid setups can be challenging. Both products have similar customer service ratings, with VMware possibly benefiting from its open-source community.
Pricing and ROI: Microsoft Parallel Data Warehouse is cost-effective for managing large datasets but can be expensive for smaller setups. Its Azure integration offers a good ROI. VMware Tanzu Data Solutions' open-source model reduces licensing costs, providing cost-effectiveness through scalability and flexibility, leading to consistent ROI. Despite competitive pricing, Microsoft can be perceived as pricier compared to VMware's offerings.
Most of our functions or jobs are queued due to that.
I have faced stability issues, mainly due to the storage my organization has, though I am not sure if it's specifically due to the tool.
When there are many users or many expensive queries, it can be very slow.
The interface is very user-friendly.
The product is not complex; I do not have to create stored procedures, functions, or views.
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.
VMware Tanzu is a robust platform tailored for data warehousing, complex analytics, BI applications, and predictive analytics. It excels in scalability, performance, and parallel processing, enhancing data handling efficiency. Users report significant productivity improvements and streamlined operations, making it ideal for comprehensive data solutions.
We monitor all Data Warehouse reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.
