Teradata and BigQuery are two prominent competitors in the data warehousing category. BigQuery often has the upper hand due to its cost-effectiveness and integration with Google's ecosystem.
Features: Teradata is valued for its strong analytics, deployment flexibility, and familiarity. However, it has a steep learning curve. BigQuery is known for its speed, automated scalability, and alignment with modern data needs, although it may lack customizable options.
Room for Improvement: Teradata could improve by reducing high costs and simplifying setup processes. BigQuery may benefit from addressing query complexity limitations and occasional latency in data ingestion. Frequent updates in BigQuery show attention to user feedback.
Ease of Deployment and Customer Service: Teradata's on-prem and hybrid capabilities offer versatility but require substantial resources and internal support for deployment. BigQuery's cloud-native design eases deployment, requiring less IT strain and backed by reliable customer service, though personalized support may be lacking.
Pricing and ROI: Teradata's higher setup costs demand significant upfront investment, leading to slower ROI. BigQuery's pay-as-you-go model enables predictable cost management and quicker ROI, especially for organizations leveraging cloud benefits.
The technical support from Teradata is quite advanced.
Customer support is very good, rated eight out of ten under our essential agreement.
Unlike SQL and Oracle, which have in-built replication capabilities, we don't have similar functionality with Teradata.
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.
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.
I find the stability to be almost a ten out of ten.
The workload management and software maturity provide a reliable system.
The data mover is valuable over the last two years as it allows us to achieve data replication to our disaster recovery systems.
BigQuery is an enterprise data warehouse that solves this problem by enabling super-fast SQL queries using the processing power of Google's infrastructure. ... You can control access to both the project and your data based on your business needs, such as giving others the ability to view or query your data.
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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