Teradata and Amazon Aurora compete in the database management and analytics category. Based on the comparison, Aurora seems to have the upper hand in cloud environments due to its integration with AWS services and scalability.
Features: Teradata is known for its massively parallel processing capabilities, adaptability, and workload management, making it suitable for large-scale data operations. It also highlights its optimizer, scalability, and security features. Amazon Aurora impresses with superior speed, high availability, and seamless integration with AWS services, making it highly efficient for cloud environments.
Room for Improvement: Teradata faces cost challenges, limited functionality for unstructured data, and needs better cloud integration. Enhancements in SQL functionalities and cloud compatibility are also desired. Amazon Aurora requires improvements in pricing, AI features, and deeper performance insights. Its cost and dependency on AWS are concerns when considering broader integration.
Ease of Deployment and Customer Service: Teradata offers diverse deployment options, including on-premises, hybrid, and cloud, though users report complexity in setup and scaling. Aurora primarily deploys in public and private cloud environments, simplifying processes for AWS users. Both receive positive customer service feedback, with Teradata's technical support and Aurora's AWS support infrastructure being noted.
Pricing and ROI: Teradata is considered expensive but valuable for performance and analytics capabilities in large-scale operations. Aurora, while also costly, is seen as cost-effective for improving cloud database performance, minimizing infrastructure investments. Both deliver ROI, with Teradata's justified higher costs emphasizing robust data processing, and Aurora's flexible pricing model appealing in the AWS ecosystem.
Using Amazon Aurora has saved us significantly in terms of manpower costs, with nearly fifty percent savings compared to an on-premises solution.
Technical support from Amazon is rated very highly.
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 are technical challenges, such as the inability to provision the database using a PostgreSQL snapshot directly.
Unlike SQL and Oracle, which have in-built replication capabilities, we don't have similar functionality with Teradata.
The pricing is reasonable and not overly expensive.
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.
Amazon Aurora offers a 99.9% SLA compared to PostgreSQL. This ensures a high level of availability for our applications.
The data mover is valuable over the last two years as it allows us to achieve data replication to our disaster recovery systems.
Amazon Aurora is a MySQL and PostgreSQL-compatible relational database built for the cloud, that combines the performance and availability of traditional enterprise databases with the simplicity and cost-effectiveness of open source databases.
Amazon Aurora is up to five times faster than standard MySQL databases and three times faster than standard PostgreSQL databases. It provides the security, availability, and reliability of commercial databases at 1/10th the cost. Amazon Aurora is fully managed by Amazon Relational Database Service (RDS), which automates time-consuming administration tasks like hardware provisioning, database setup, patching, and backups.
Amazon Aurora features a distributed, fault-tolerant, self-healing storage system that auto-scales up to 64TB per database instance. It delivers high performance and availability with up to 15 low-latency read replicas, point-in-time recovery, continuous backup to Amazon S3, and replication across three Availability Zones (AZs).
Visit the Amazon RDS Management Console to create your first Aurora database instance and start migrating your MySQL and PostgreSQL databases.
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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