Oracle Fusion Service and Teradata compete in the enterprise IT solutions category. Oracle Fusion Service appears to have an edge in customer interaction capabilities, while Teradata is strong in handling extensive data analytics efficiently.
Features: Oracle Fusion Service offers a comprehensive omni-channel suite for seamless customer interactions through chat, co-browsing, and smart assistants. It also enables quick deployment and scalability, enhanced by an advanced knowledge base with robust NLP technology. Teradata focuses on performance and scalability, featuring parallel processing, sophisticated data management, and intelligent scan elimination, efficiently managing large data volumes for analytics purposes.
Room for Improvement: Oracle Fusion Service can improve by enhancing its B2B capabilities, offering better customization, and improving older platform integration. Users have pointed out the complexity of some newer modules and the business rules UI. Teradata could enhance its cloud adoption and cost structure to remain competitive, focusing on handling unstructured data better and offering improved scalability. Expanding and simplifying training resources and integration capabilities would also be beneficial.
Ease of Deployment and Customer Service: Oracle Fusion Service provides flexible deployment options across public, private, and hybrid clouds, whereas Teradata remains focused on on-premises setups with slower cloud adoption. Oracle’s customer service receives positive feedback, but there are occasional delays in some regions. Teradata's customer service is recognized for its knowledge, yet lacks vertical industry-specific support while maintaining robust technical support.
Pricing and ROI: Oracle Fusion Service's pricing is high, particularly for smaller businesses, though its flexible SaaS model allows for usage-based cost customization, potentially leading to strong ROI through efficiency gains. Teradata, while expensive, is noted for its value in large-scale data management and has become more affordable with competitive cloud models. Its high performance contributes to a favorable ROI despite the initial cost.
Customer service varies as sometimes I receive a good response, and other times I need to escalate issues and involve engineers from Oracle in an OWC session.
The technical support from Teradata is quite advanced.
Customer support is very good, rated eight out of ten under our essential agreement.
Initially, we had ten ERPs, and I have added more since.
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.
Simpler integration capabilities.
When dealing with bulk data uploads via a BDI process, some records occasionally fail, requiring me to debug and reprocess them.
Unlike SQL and Oracle, which have in-built replication capabilities, we don't have similar functionality with Teradata.
I think it's expensive, yet it does not pose a threat, making it costly for my enterprise.
Teradata is much more expensive than SQL, which is well-performed and cheaper.
Initially, it may seem expensive compared to similar cloud databases, however, it offers significant value in performance, stability, and overall output once in use.
There are ERP connectors available for Oracle middleware, enabling seamless integration through a drag-and-drop interface.
There is also a focus on maintaining efficiency, and it is a significant time saver.
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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