Teradata and Oracle Database In-Memory compete in the realm of large-scale data processing and analytics. Teradata has the advantage due to its robust parallel processing and ability to handle big data workloads efficiently.
Features: Teradata offers strong parallel processing capabilities, high scalability, and comprehensive workload management options. Oracle Database In-Memory is known for leveraging columnar storage for enhanced query performance, real-time analytics, and efficient handling of large datasets.
Room for Improvement: Teradata could improve its cloud strategy, pricing model, and support for unstructured data, while Oracle users highlight cost issues, suggesting the need for more flexible pricing and improved deployment and backup options.
Ease of Deployment and Customer Service: Teradata is available as on-premises, public cloud, and hybrid cloud, offering extensive support but noted for needing better response times. Oracle Database In-Memory's deployment spans private and hybrid clouds, with praise for customer service though feedback on technical support could be more responsive.
Pricing and ROI: Teradata is regarded as expensive but justifies its cost through performance and reliability in large implementations, noted for good ROI. Oracle Database In-Memory also presents high costs, yet its performance is deemed worth it for analytics, demanding cost management attention.
Support quality varies across regions, with more advanced solutions from the U.S. and UK compared to Asian region support.
I rate the technical support of Oracle an eight or nine out of ten.
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.
It was very difficult to move data from on-site to cloud in one attempt at the start, because we didn't have sufficient bandwidth to copy the data files to the cloud.
I find the stability to be almost a ten out of ten.
The workload management and software maturity provide a reliable system.
Enhancing features like CAG augmentation and cache augmentation could significantly optimize performance for large language models.
Unlike SQL and Oracle, which have in-built replication capabilities, we don't have similar functionality with Teradata.
Recent reductions in cloud costs and learning opportunities, such as free portals for students, make the pricing reasonable without hindering access to powerful features and performance.
The pricing for Oracle Database In-Memory is more affordable.
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 valuable features of Oracle Database In-Memory include its capability to bypass disk storage for faster memory operations, which is critical for transactions and analytics.
The data mover is valuable over the last two years as it allows us to achieve data replication to our disaster recovery systems.
Oracle Database In-Memory transparently accelerates analytics by orders of magnitude while simultaneously speeding up mixed-workload OLTP. With Oracle Database In-Memory, users get immediate answers to business questions that previously took hours.
Oracle Database In-Memory delivers leading-edge in-memory performance without the need to restrict functionality, or accept compromises, complexity and risk. Deploying Oracle Database In-Memory with any existing Oracle Database compatible application is as easy as flipping a switch - no application changes are required. Oracle Database In-Memory is fully integrated with the Oracle Database’s renowned scale-up, scale-out, storage tiering, availability, and security technologies making it the most industrialstrength offering on the market.
The ability to easily perform real-time data analysis together with real-time transaction processing on all existing applications enables organizations to transform into Real-Time Enterprises that quickly make data-driven decisions, respond instantly to customer demands, and continuously optimize all key processes.
For more information on Oracle Database In-Memory, visit Oracle.com
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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