Teradata and Azure Data Factory are major competitors in the data management and ETL market. Teradata appears to have the upper hand for large-scale data warehousing needs due to its performance, while Azure Data Factory excels in scalability and integration with Azure services.
Features: Teradata is known for its multi-processing parallel architecture and high-performance capabilities. Its features include the Teradata Optimizer for efficient query execution and real-time operational reporting. Azure Data Factory offers scalability and a broad range of connectors for seamless ETL integration within the Azure ecosystem.
Room for Improvement: Teradata needs enhancements in cloud integration, cost management, and handling unstructured data. It also seeks improvements in OLTP and analytics functionalities. Azure Data Factory could benefit from more comprehensive documentation, clearer pricing transparency, and enhanced connectors for smoother integrations.
Ease of Deployment and Customer Service: Teradata often deploys in on-premises or hybrid setups, providing flexibility, albeit at a higher cost. Its customer service is highly rated. Azure Data Factory is favored for cloud deployments, offering flexibility in cloud-based operations. While customer service is generally satisfactory, there are opportunities to improve response times.
Pricing and ROI: Teradata's pricing targets large enterprises, offering substantial value despite high costs. The ROI is favorable for larger entities, though smaller organizations may find it less feasible. Azure Data Factory employs a pay-as-you-go model, attractive for scalability and reducing data integration costs, although its pricing complexity remains an area for improvement.
Our stakeholders and clients have expressed satisfaction with Azure Data Factory's efficiency and cost-effectiveness.
The technical support is responsive and helpful
The technical support from Microsoft is rated an eight out of ten.
The technical support for Azure Data Factory is generally acceptable.
The technical support from Teradata is quite advanced.
Customer support is very good, rated eight out of ten under our essential agreement.
Azure Data Factory is highly scalable.
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.
The solution has a high level of stability, roughly a nine out of ten.
I find the stability to be almost a ten out of ten.
The workload management and software maturity provide a reliable system.
The inability to connect local VMs and local servers into the data flow is a limitation that prevents giving Azure Data Factory a perfect score.
There is a problem with the integration with third-party solutions, particularly with SAP.
Sometimes, the compute fails to process data if there is a heavy load suddenly, and it doesn't scale up automatically.
Unlike SQL and Oracle, which have in-built replication capabilities, we don't have similar functionality with Teradata.
The pricing is cost-effective.
It is considered cost-effective.
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.
It connects to different sources out-of-the-box, making integration much easier.
The platform excels in handling major datasets, particularly when working with Power BI for reporting purposes.
The interface of Azure Data Factory is very usable with a more interactive visual experience, making it easier for people who are not as experienced in coding to work with.
The data mover is valuable over the last two years as it allows us to achieve data replication to our disaster recovery systems.
Azure Data Factory efficiently manages and integrates data from various sources, enabling seamless movement and transformation across platforms. Its valuable features include seamless integration with Azure services, handling large data volumes, flexible transformation, user-friendly interface, extensive connectors, and scalability. Users have experienced improved team performance, workflow simplification, enhanced collaboration, streamlined processes, and boosted productivity.
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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