Apr 20, 2022
Dear Community,
Many thanks for yor support and help!
Teradata and Apache Hadoop both compete in the data management solutions category. Based on user reviews, Teradata seems to have the upper hand in customer support and pricing, appealing to enterprises needing expert assistance, while Apache Hadoop stands out for its scalability and flexibility, catering to those seeking a customizable solution.
Features:Teradata offers robust analytics, real-time insights, and suits structured data environments. Apache Hadoop provides flexibility in handling diverse data types, superior scalability, and handles unstructured and semi-structured data.
Room for Improvement:Teradata could enhance its agility and integration capabilities with other platforms. Apache Hadoop's configuration complexity and maintenance requirements highlight a need for simplification and easier tools.
Ease of Deployment and Customer Service:Teradata features a straightforward deployment process complemented by strong customer service, ensuring a smooth user transition. In contrast, Apache Hadoop's deployment can be challenging due to complexity but benefits from comprehensive documentation and community support for troubleshooting.
Pricing and ROI:Teradata users find its pricing model reasonable, offering a good ROI through impactful features and support. Apache Hadoop's open-source nature provides a cost-effective solution, though it may incur additional maintenance and skilled staff costs, affecting perceived ROI.
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.
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 data mover is valuable over the last two years as it allows us to achieve data replication to our disaster recovery systems.
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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