Teradata and BigQuery are competitors in the data warehousing and analytics market. BigQuery holds an edge due to its cost-effective pricing and seamless integration with Google's ecosystem.
Features: Teradata is recognized for its robust parallel processing capabilities, MPP architecture, and solid data warehousing features that enable rapid query execution for large datasets. Its platform supports complex analytics across different environments with strong scalability. BigQuery stands out with its serverless architecture, real-time analytics, and easy integration within Google's ecosystem. It offers machine learning capabilities and highly scalable data analysis with cost-effective cloud storage.
Room for Improvement: Teradata faces challenges such as high costs, limited scalability with cloud integration, and difficulty handling unstructured data. Improving usability and refining its analytics and reporting features could enhance its attractiveness. BigQuery could improve its caching for external tables and handling special characters. While generally cost-effective, its pricing can increase rapidly based on usage, so continuous optimization and enhanced intuitiveness are needed.
Ease of Deployment and Customer Service: Teradata offers flexible on-premises and cloud deployment options but can be complex and expensive. Its customer service is generally well-regarded but can have varying response times. BigQuery offers ease of deployment with a fully managed cloud infrastructure and seamless integration within GCP, with commendable customer service known for expertise and responsiveness.
Pricing and ROI: Teradata is often seen as expensive, offering premium-level solutions with significant performance benefits and strong ROI for those willing to invest. BigQuery, however, provides lower pricing with a flexible pay-as-you-go model, offering cost efficiency in storage and appealing for projects with large data volumes. Both solutions deliver substantial ROI when aligned with specific business needs.
rating the customer support at ten points 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.
I find the stability to be almost a ten out of ten.
The workload management and software maturity provide a reliable system.
Troubleshooting requires opening each pipeline individually, which is time-consuming.
Unlike SQL and Oracle, which have in-built replication capabilities, we don't have similar functionality with Teradata.
The price is perceived as expensive, rated at eight out of ten in terms of costliness.
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.
BigQuery processes a substantial amount of data, whether in gigabytes or terabytes, swiftly producing desired data within one or two minutes.
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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