Teradata and Amazon QuickSight compete in the data analytics and business intelligence arena. Teradata appears to have the edge in handling large-scale, structured data environments with advanced analytics capabilities, while QuickSight shines with its user-friendly interface and seamless AWS integration.
Features: Teradata excels in processing large data volumes quickly, offering robust parallel processing and workload management. It is known for scalability, performance, and adaptability with complex queries. QuickSight is praised for seamless AWS integration, cost-effectiveness, and ease of use, focusing on self-service analytics and powerful visualization tools.
Room for Improvement: Teradata users seek better cost-effectiveness, enhanced OLAP capabilities, and improved cloud integration. There are also concerns regarding high costs and complex upgrades. QuickSight users desire more visualization options, stronger third-party tool integration, and advanced analytics features, along with competitive pricing and simpler setups.
Ease of Deployment and Customer Service: Teradata mainly deploys on-premises and offers flexibility with hybrid and private clouds, although setup can be extensive. Its technical support is highly rated but shows occasional response delays. QuickSight, being cloud-based, offers easy deployment and integration within AWS, with satisfactory technical support perceived as less comprehensive than Teradata's.
Pricing and ROI: Teradata's high pricing is suited for larger enterprises with structured data needs, offering value through customer satisfaction and performance. QuickSight provides cost-effective subscription models, appealing to AWS users with its affordability and ability to deliver quick insights, lowering the initial investment barrier for a wider audience.
I would say out of all the support experience I've had, only 5% took quite a long time to respond to the support message.
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.
Understanding how AWS charges for Amazon QuickSight usage is critical for all users wanting to visualize their data effectively.
Unlike SQL and Oracle, which have in-built replication capabilities, we don't have similar functionality with Teradata.
It is not expensive, but it is also not cheap.
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 natural language query is very important, and natural language processing is crucial for disseminating dashboards across multiple formats and mechanisms.
The data mover is valuable over the last two years as it allows us to achieve data replication to our disaster recovery systems.
Amazon QuickSight is a fast, cloud-powered business analytics service that makes it easy to build visualizations, perform ad-hoc analysis, and quickly get business insights from your data. Using our cloud-based service you can easily connect to your data, perform advanced analysis, and create stunning visualizations and rich dashboards that can be accessed from any browser or mobile device.
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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