Microsoft Parallel Data Warehouse and Teradata are key competitors in the data warehousing category. Microsoft Parallel Data Warehouse holds the advantage in cost-effectiveness and seamless integration within Microsoft's ecosystem, while Teradata is acknowledged for its superior performance and advanced analytics capabilities due to its MPP architecture.
Features: Microsoft Parallel Data Warehouse focuses on performance, cost-effectiveness, and integration with the Microsoft ecosystem. Key features include enhanced data loading speeds, seamless integration with Microsoft BI tools, and efficient data processing. Teradata excels in handling large data volumes, robust MPP architecture, and advanced analytics tools, offering high-performance data processing and efficient management with its shared-nothing architecture.
Room for Improvement: Microsoft Parallel Data Warehouse needs to enhance integration with non-Microsoft BI tools, improve scalability, and refine error messaging. Its setup complexity is also a challenge. Teradata requires better cloud adoption strategies and handling of unstructured data. It faces challenges with its high cost and reliance on proprietary hardware, necessitating better integration with open-source tools.
Ease of Deployment and Customer Service: Microsoft Parallel Data Warehouse provides flexible deployment options, including cloud services, enhancing accessibility and integration. Its customer service varies regionally but is generally considered comprehensive. Teradata offers extensive deployment options with strong performance, although its setup can be complex. Customer support is commended but requires improvements in responsiveness and knowledge.
Pricing and ROI: Microsoft Parallel Data Warehouse is deemed cost-effective, especially for large-scale data solutions, though its pricing may become burdensome for vast on-premises installations. Users highlight its strong ROI due to cost efficiency and operational integration. Teradata, while considered a premium product with high costs, offers significant value through enhanced performance and analytics capabilities. Users seek more competitive pricing models and greater licensing flexibility.
Customer support is very good, rated eight out of ten under our essential agreement.
The technical support from Teradata is quite advanced.
This expansion can occur without incurring downtime or taking systems offline.
Scalability is complex as you need to purchase a license and coordinate with Teradata for additional disk space and CPU.
I find the stability to be almost a ten out of ten.
The workload management and software maturity provide a reliable system.
When there are many users or many expensive queries, it can be very slow.
Unlike SQL and Oracle, which have in-built replication capabilities, we don't have similar functionality with Teradata.
Initially, it may seem expensive compared to similar cloud databases, however, it offers significant value in performance, stability, and overall output once in use.
Teradata is much more expensive than SQL, which is well-performed and cheaper.
The interface is very user-friendly.
The data mover is valuable over the last two years as it allows us to achieve data replication to our disaster recovery systems.
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.
Teradata is a scalable data analytics platform designed to meet enterprise demands for large-scale data management and processing, focusing on performance, scalability, and security for complex query executions.
As a leading data warehousing solution, Teradata integrates advanced analytics enabling organizations to derive insights from massive datasets. It supports high-volume data workloads with its architecture optimized for analytical queries. Users benefit from its robust scalability, allowing seamless expansion as data grows. Teradata's SQL engine is compatible with a wide range of data types, ensuring flexibility in data analysis. With advanced security measures, it protects sensitive data across various environments, providing peace of mind to users handling critical information.
What are the most important features of Teradata?Teradata is widely used in industries like finance, telecommunications, and healthcare, where data-driven decisions are critical. Companies leverage its robust analytics capabilities to enhance customer experiences, streamline operations, and ensure compliance with regulatory requirements. In these sectors, quick access to data insights can significantly impact competitive advantage.
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