Teradata and Fivetran compete in the data management and integration category. Teradata seems to have the upper hand with its advanced data processing capabilities, particularly in large-scale environments.
Features: Teradata offers massive parallel processing, high scalability, and robust data mining capabilities, making it an excellent choice for quick query execution and large dataset management. Its reliability and extensive data warehousing tools are highly valued. Fivetran is known for straightforward data integration, managed pipelines, and ease of connecting business applications to data warehouses. Its simplicity and ease of adding new integrations are noteworthy, although it lacks some advanced data processing capabilities compared to Teradata.
Room for Improvement: Teradata is critiqued for high pricing, outdated user interfaces, and a need for better unstructured data handling and cloud integration. Fivetran needs more data source connectors, better data pipeline observability, and more economical pricing for high-volume data usage.
Ease of Deployment and Customer Service: Teradata supports on-premises, hybrid, and cloud deployments with professional support, though response times can vary. Fivetran focuses on cloud deployment with easier integrations but offers less on-premises support. Teradata is noted for robust technical backing, while Fivetran has mixed reviews on support response times.
Pricing and ROI: Teradata, while expensive, delivers high ROI for large enterprises needing comprehensive analytics. Fivetran, also considered pricey, has a flexible model becoming more economical with increased usage, yet may be less cost-effective for smaller projects.
It saves us the effort of having one to two data engineers managing the tasks that Fivetran handles.
The technical support provided by Fivetran has generally been good, with a response time and competence that I would rate as good.
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.
Improvement in existing connectors with new features is desirable.
Unlike SQL and Oracle, which have in-built replication capabilities, we don't have similar functionality with Teradata.
Our current yearly contract for Fivetran is approximately $70,000.
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.
The most valuable feature of Fivetran is its built-in connectors for a wide range of data sources.
The data mover is valuable over the last two years as it allows us to achieve data replication to our disaster recovery systems.
Fivetran, the global leader in data movement, is trusted by companies like OpenAI, LVMH, Pfizer, Verizon and Spotify to centralize data from SaaS applications, databases, files, and other sources into cloud destinations, including data lakes. With high-performance pipelines, seamless interoperability, and enterprise-grade security, Fivetran empowers organizations to modernize their data infrastructure, power analytics and AI, ensure compliance, and achieve transformative business outcomes. Learn more at Fivetran.com
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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