Teradata and Azure Data Factory are key competitors in the data management and analytics industry. Azure Data Factory has the upper hand in integration capabilities and user-friendliness, while Teradata remains strong in high-performance analytics and large-scale data management.
Features: Teradata offers parallel processing, scalability, and fast query execution thanks to its MPP architecture and shared-nothing design. It supports extensive data mining, analytics, and ETL operations with strong security measures. Azure Data Factory excels with a drag-and-drop interface, extensive data pipeline management across Azure services, and over 100 built-in data connectors, making it versatile for diverse applications.
Room for Improvement: Teradata's areas for enhancement include high costs, limitations with unstructured data, and cloud adaptation. Enhanced scalability and integration with big data platforms are also needed. Azure Data Factory could improve in monitoring capabilities, third-party integration like SAP, and pricing complexity. User interface intuitiveness and support for streaming data present challenges.
Ease of Deployment and Customer Service: Teradata provides flexibility for on-premises and hybrid deployments but faces challenges with cloud integration. It is known for strong technical support though response times can be slow. Azure Data Factory benefits from cloud-native architecture, facilitating easy public cloud deployment. While customer service is good, technical support could be deepened, especially for response times.
Pricing and ROI: Teradata is often considered expensive, posing challenges for smaller enterprises. Its high ROI is confirmed by users leveraging its capabilities for complex analytics. Azure Data Factory offers a pay-as-you-go model, initially cost-effective but prices can rise with data processing needs. This model allows competitive pricing flexibility, appealing to cloud-focused strategies, providing satisfactory ROI with its scalable solutions.
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.
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.
Incorporating more dedicated API sources to specific services like HubSpot CRM or Salesforce would be beneficial.
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 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.
I find the most valuable feature in Azure Data Factory to be its ability to handle large datasets.
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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