Teradata and SAS Data Management are key competitors in the data management and analytics software industry. Teradata seems to have the upper hand with its superior query optimization and performance tuning capabilities.
Features: Teradata impresses with its advanced parallel processing and fast query execution capabilities, suitable for large-scale data environments. It supports both row and columnar partitioning, contributing to robust querying and scalability. SAS Data Management excels in data integration and management, offering extensive tools for data cleansing and federation, making it suitable for managing diverse data sources.
Room for Improvement: Teradata could benefit from better integration capabilities, more effective handling of unstructured data, and improved scalability in multi-petabyte environments. SAS Data Management users seek enhanced stability, cheaper pricing, and simpler installation and configuration processes, particularly for cloud environments.
Ease of Deployment and Customer Service: Teradata offers deployment flexibility across on-premises, private, public, and hybrid cloud environments. SAS Data Management is primarily on-premises focused, potentially limiting scalability in comparison. Both products receive high ratings for customer service, with Teradata's technical support being well-regarded, despite occasional delays.
Pricing and ROI: Teradata is known for its high cost but delivers substantial ROI through superior analytical capabilities and system reliability, justifying its premium pricing for large enterprises. SAS Data Management, while also expensive, does not match Teradata in processing power and scalability but remains a valuable tool for data integration tasks. Both solutions require significant investment, with Teradata's ROI potential recognized as significant for businesses prioritizing speed and depth of analytics.
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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