Apr 13, 2014
I think hands down it's Exadata since for the front end apps it's just another Oracle database which means everything under the sun is compatible with it.
Microsoft Parallel Data Warehouse and Teradata compete in the data warehousing solutions category. Teradata seems to have the upper hand due to its superior parallel processing capabilities and comprehensive in-database analytics tools.
Features: Microsoft Parallel Data Warehouse provides a significant performance boost for data operations, integrates seamlessly with the Microsoft ecosystem, and offers scalability and ease of use. It is particularly beneficial for businesses invested in Microsoft solutions, as it integrates well with SQL Server and Power BI. Teradata is known for its robust parallel processing, making it ideal for complex queries and analytics. It supports linear scalability, offers in-database analytics tools, and efficiently manages large datasets, making it suitable for enterprises requiring extensive data handling capabilities.
Room for Improvement: Microsoft Parallel Data Warehouse requires substantial infrastructure expertise to implement and may challenge inexperienced users. Enhancements in compatibility with common BI tools and non-Microsoft systems could be beneficial. Teradata is expensive and complex; improvements could include more competitive pricing, better cloud adoption, and enhanced unstructured data handling.
Ease of Deployment and Customer Service: Microsoft Parallel Data Warehouse can be implemented in various environments such as on-premises, private cloud, and hybrid cloud. Customer service receives mixed reviews, with some users relying on third-party assistance. Teradata is also deployed across multiple environments but is noted for its complexity and slow cloud adoption. Customer support is generally good, but there is a need for more user-friendly interfaces.
Pricing and ROI: Microsoft Parallel Data Warehouse is perceived as expensive; however, it offers competitive pricing through agreements such as governmental contracts, providing value for enterprises with large data needs. Its ROI is considered positive. Teradata is regarded as a premium solution with higher costs, justified by its performance and features. Negotiating pricing is crucial, especially for larger enterprises, and it delivers robust performance leading to favorable ROI for large-scale data operations.
Customer support is very good, rated eight out of ten under our essential agreement.
The technical support from Teradata is quite advanced.
I give the scalability an eight out of ten, indicating it scales well for our needs.
As a consultant, we hire additional programmers when we need to scale up certain major projects.
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.
Microsoft Parallel Data Warehouse is stable for us because it is built on SQL Server.
I find the stability to be almost a ten out of ten.
The workload management and software maturity provide a reliable system.
It would be better to release patches less frequently, maybe once a month or once every two months.
When there are many users or many expensive queries, it can be very slow.
The ETL designing process could be optimized for better efficiency.
Unlike SQL and Oracle, which have in-built replication capabilities, we don't have similar functionality with Teradata.
Microsoft Parallel Data Warehouse is very expensive.
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 columnstore index enhances data query performance by using less space and achieving faster performance than general indexing.
There's a feature that allows users to set alerts on triggers within reports, enabling timely actions on pending applications and effectively reducing waiting time.
Microsoft Parallel Data Warehouse is used in the logistics area for optimizing SQL queries related to the loading and unloading of trucks.
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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