Teradata and SAS Data Management are leading solutions in the data management sector, both renowned for their unique capabilities. While Teradata excels in high-performance analytics, SAS focuses on data integration and quality. Teradata appears to have an edge in performance and scalability, while SAS is highlighted for its flexibility in data management.
Features: Teradata is recognized for its scalability, utilizing a "Parallel Everything" architecture. It offers advanced query management and in-database analytics. SAS Data Management specializes in data standardization and transformation, praised for its robust data integration and reporting tools facilitating extensive data analysis.
Room for Improvement: Teradata users cite challenges with high costs and complex scaling in cloud environments. Improvements needed include query response time and integration with big data platforms. SAS faces high licensing costs and complexity in data integration. User accessibility and cloud migration require enhancements.
Ease of Deployment and Customer Service: Teradata provides flexibility with on-premises, private, and hybrid cloud deployments but encounters criticism for complex setups. Customer service is generally well-regarded. SAS is mainly deployed on-premises, with movement toward hybrid solutions. Its customer service is dependable with remarks on technical issue resolution times.
Pricing and ROI: Teradata is seen as costly due to initial licensing fees, yet its performance often justifies the investment, delivering ROI for large enterprises. SAS also bears high costs but combines comprehensive solutions, yielding satisfactory ROI by offering extensive data management benefits.
The technical support from Teradata is quite advanced.
Customer support is very good, rated eight out of ten under our essential agreement.
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.
There is significant room for improvement, especially with regard to using a hybrid approach that involves both CAS and persistent storage.
Unlike SQL and Oracle, which have in-built replication capabilities, we don't have similar functionality with Teradata.
From my experience, SAS Data Management is an expensive tool.
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.
SAS Data Management stands out because of its data standardization, transformation, and verification capabilities.
The data mover is valuable over the last two years as it allows us to achieve data replication to our disaster recovery systems.
Every decision, every business move, every successful customer interaction - they all come down to high-quality, well-integrated data. If you don't have it, you don't win. SAS Data Management is an industry-leading solution built on a data quality platform that helps you improve, integrate and govern your data.
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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