Teradata and IFS Cloud Platform are competitive in data warehousing and enterprise resource planning. Teradata is advantageous for its data processing speed and scalability, while IFS Cloud is superior for enterprise resource planning and customization based on industry needs.
Features: Teradata excels with capabilities like Massive Parallel Processing, shared-nothing architecture, and in-database analytics, which suit large-scale data operations well. IFS Cloud Platform is recognized for its modular architecture, facilitating customizations aligned with open standards for easy integrations and strong service management.
Room for Improvement: Teradata faces challenges with its high costs and cloud adaptation, alongside difficulties in supporting unstructured data. Users wish for better integration and more cost-effectiveness. IFS Cloud needs enhancement in integration support, user interface simplification, and documentation. Users desire improved reporting capabilities.
Ease of Deployment and Customer Service: Teradata is available in on-premises, private cloud, and hybrid cloud deployments, known for stability and redundancy. Its technical support is professional, although response times could improve. IFS Cloud Platform provides flexibility across various environments, with positive support service ratings yet slower response times than some users prefer.
Pricing and ROI: Teradata is known for its high costs yet offers significant ROI due to advanced analytics and performance, though licensing is expensive. IFS Cloud Platform is competitively priced compared to SAP and Oracle, appealing to mid-sized enterprises, and provides better scalability and value in pricing.
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 not much available online, and the documentation availability is on the lower side compared to other products, especially Maximo.
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.
There are fewer fields on the user screen compared to other products.
The data mover is valuable over the last two years as it allows us to achieve data replication to our disaster recovery systems.
IFS is the world’s leading provider of Industrial AI and enterprise software for hardcore businesses that make, service, and power our planet. Our technology enables businesses which manufacture goods, maintain complex assets, and manage service-focused operations to unlock the transformative power of Industrial AI™ to enhance productivity, efficiency, and sustainability. Industrial AI is IFS.ai.
IFS Cloud is a fully composable AI-powered platform, designed for ultimate flexibility and adaptability to our customers’ specific requirements and business evolution. It spans the needs of Enterprise Resource Planning (ERP), Enterprise Asset Management (EAM), Supply Chain Management (SCM), Information Technology Service Management (ITSM), and Field Service Management (FSM). IFS technology leverages AI, machine learning, real-time data and analytics to empower our customers to make informed strategic decisions and excel at their Moment of Service™.
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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